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Jed Guinto

Tableau Certification is becoming more prevalent these days and I'm not surprised. The demand for Data Skilled workers has been rising exponentially in the last couple of decades and believe it or not, there's a shortage. Companies are recruiting heavily and upskilling those they can. This is where you come in.

The only course on Udemy that teaches the complete Tableau Platform; Desktop, Online, Prep, Bridge and Conductor.

Read more

Tableau Certification is becoming more prevalent these days and I'm not surprised. The demand for Data Skilled workers has been rising exponentially in the last couple of decades and believe it or not, there's a shortage. Companies are recruiting heavily and upskilling those they can. This is where you come in.

The only course on Udemy that teaches the complete Tableau Platform; Desktop, Online, Prep, Bridge and Conductor.

Most instructors only teach Tableau Desktop which is the visualization tool. I'll teach you the entire ecosystem from data cleansing and preparation, to data ETL, automation, Story Telling, Tableau Online and Server and much more.

WHO'

This course is designed specifically for those who do not have a data background or experience and want to be more efficient in the way they clean, prepare and share data.

It has also been designed specifically to pass the Tableau Certifications by preparing you for the Tableau Desktop Specialist Practice Exam as well as the others depending on how far you want to go. We'll be doing assignments and lessons throughout which mirror some of the Tableau Desktop Specialist Exam Questions.

EXAMS YOU'

Tableau solves all the above issues.

The beauty of Tableau is its intuitive nature and makes it easy for anyone to learn it. When getting started its mainly drag-and-drop visualizations. What would usually take me hours/days in Excel I can do in a few minutes in Tableau.

Another advantage is that don’t need to have any programming/data experience like I did a few years ago. In fact, there is no programming to be done which is what makes this tool so desirable for beginners like you.

Tableau Desktop: 1 Hour Accelerator Program.

  • Connect to your Excel data using Drag-and-Drop

  • Basic Bar, Column, Line and Pie Charts

  • Colour Coding and Text Labels

  • One Click Calculations: Running Total, Moving Average and More

  • Building your first dashboard in seconds

  • Basic Formatting and Print to PDF/Image

2. Tableau Desktop: Beginner

  • Simple Charts: Pie, Bars, Area and Lines

  • How to Filter your data with a few clicks

  • Basic Arithmetic: Learn to add number fields together

  • Aggregates: Calculating Totals, Average, Maximum, Minimum, etc.

  • Another FREE eBOOK.

3. Tableau Desktop: Intermediate

  • How to connect to data using Live and Extract methods

  • Cleaning Data: Splitting combined data into multiple columns

  • Create IF calculations, Rounding Numbers, Absolute Formula

  • How to extract letters/numbers from left and right side of text

  • Trimming extra spaces

  • Quick Table Calculations: Running Total, Percent of Total, Rank

  • Build maps in seconds using the double-click method

  • Create forecasts using drag-and-drop

  • Create interactive dashboards

4. Tableau Desktop: Expert

  • Add data to another table easily UNIONS

  • JOINS: Combine two tables together using a common field

  • Create a Reference and/or Trend line anywhere on your visualization

  • Use parameters to change values on the fly

  • Create sets to group your data for further analysis

  • Learn new visualizations such as Histograms, Funnels, Donuts, Dot Time, Jitter and more

  • Add additional views for Mobile and Tablet

6. Tableau Online – Cloud Platform for Data Sharing and Collaboration

  • Design an entire online site (Cloud) from scratch

  • Publish your dashboards to the Cloud

  • Learn collaboration filters such as subscriptions which send your dashboards to people on schedule everyday

  • Learn Alerts which send you an email when your charts reach a specific number

  • Manage an entire cloud platform and all it’s users

7. Tableau Prep – Data Cleansing that works 10 times faster than Excel

  • Combine similar terms together under one heading using “Group and Replace”

  • Convert all text to upper case or lower case in one click

  • Remove extra white spaces from the beginning or end of data

  • Join data together simply by dragging and dropping one on top of the other

  • Add data together by dropping one data underneath the other in one click

  • Create a flow that remembers how to clean so you can just press PLAY tomorrow and it will clean it for you just the way you told it to

Sign up today. It’s no risk to you with Udemy’s 30-day Money Back Guarantee, No Questions Asked.

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What's inside

Learning objectives

  • Gain a deep understanding of tableau public, desktop, prep, online, server, and bridge from the perspective of a professional analyst
  • Master the skills needed to create visually appealing and interactive data visualizations using tableau
  • Learn advanced techniques to manipulate and transform data in tableau prep
  • Acquire the knowledge to publish and share data visualizations on tableau public, tableau online and tableau server
  • Develop expertise in connecting to various data sources and creating data connections in tableau
  • Learn to build dynamic dashboards and interactive reports for effective data analysis and storytelling
  • Discover best practices for designing intuitive and engaging data visualizations
  • Understand the principles of data storytelling and how to effectively communicate insights through tableau
  • Prepare for tableau certifications and gain confidence in passing them
  • Increase your employability by understanding what employers and stakeholders value

Syllabus

Updates and Announcements
Downloadable Files and Resources
Introduction - Welcome to the new 2023-24 Tableau Training Course

Join me on an exciting journey into the world of Tableau as I present the enhanced and expanded version of my acclaimed Tableau Course for 2023-24. In this video, get a glimpse of the knowledge and resources awaiting you.

Since 2013-14, I've taught over 230,000 students on Udemy with over 500,000 student enrolments. The original Tableau Course boasts 50,000+ sign-ups, 7000+ reviews, and a 4.7 rating, one of Udemy's highest.

Find me on YouTube as Jellyman Education and explore my Training website under the same name.

I'm here to help you upskill, find your dream job, and succeed in the corporate world with my upgraded Tableau Course.


Read more

Discover the world of data visualization with my specialized course designed for Tableau Public; the free version of Tableau Desktop. Download Tableau Public from https://www.tableau.com/en-gb/products/public/download and embark on a transformative learning experience.

Tableau Public is the free version of Tableau Desktop, allowing users to create and share interactive visualizations publicly. However, it has limitations.

All visualizations are publicly accessible, which may not be ideal for sensitive data. Saving workbooks locally is restricted, limiting offline access.

In contrast, Tableau Desktop offers more privacy, security, and advanced features for a cost. It allows working with sensitive data without public exposure and enables saving workbooks locally. Tableau Desktop is suitable for commercial and enterprise use, offering enhanced functionality and connectivity options. Tableau Public is free for personal and non-commercial use, making it accessible for individuals, students, and non-profit organizations.

Consider your data privacy, offline access needs, and budget to choose the appropriate version for your visualization requirements.



Discover the crucial role of analysts in converting raw data into powerful insights in my upcoming video. Learn the practices and traits that lead to promotions and opportunities, while also addressing negative traits that hinder growth.

As data's importance grows, analysts play a pivotal role. We'll explore effective analysis techniques, data visualization skills, and impactful communication to stand out. Embracing these practices positions you for career advancement.

But be aware of pitfalls. Lack of attention to detail, resistance to change, and poor communication can limit growth. Recognizing and overcoming these challenges unlocks your potential as an analyst.

This video empowers aspiring analysts and professionals. Nurture your abilities, make informed career decisions, and seize exciting opportunities. Let's unlock your true potential together on the path to success in data analysis.


Explore the vast world of IT in this insightful video. Discover the life of an analyst and the potential for six-figure incomes in this booming industry.

As an analyst, you'll uncover valuable insights from complex data and drive strategic decisions. We'll explore diverse paths like data analysis, business intelligence, and cybersecurity, showcasing the range of opportunities available.

The IT industry offers exceptional financial rewards. We'll discuss salary expectations and the potential to earn six figures as an analyst.

Key factors for success include technical proficiency, continuous learning, adaptability, and effective communication. Embrace these qualities to position yourself for growth and advancement.

Whether you're a graduate or career changer, this video is invaluable. Gain insights into the analyst role, salary prospects, and strategies to thrive in IT.

Seize the abundant opportunities in IT. Join us for this captivating video and unlock a rewarding career with growth, fulfillment, and the chance to make a substantial impact.


Join me in this video as we compare Tableau Desktop and Excel, highlighting their strengths and limitations in data visualization. With Tableau, experience seamless integration of data sources, creating dynamic and interactive visualizations effortlessly.

Excel, while suitable for basic charts and calculations, lacks Tableau's advanced capabilities. Tableau handles complex data with ease, blending datasets, and offering advanced analytics. Its interactive visualizations empower users to explore data dynamically, enabling informed decision-making.

In contrast, Excel falls short in scalability and collaborative analytics. Tableau's collaborative features facilitate teamwork and sharing of insights. While Excel may be familiar, Tableau's power lies in its ability to handle complex data, create dynamic visualizations, and support collaboration. Explore Tableau Desktop's capabilities in this enlightening video and unleash the true potential of data visualization.


In the professional business setting, Tableau provides a comprehensive suite of tools that work seamlessly together to unleash the power of data. Tableau Desktop empowers analysts to create visually stunning and interactive dashboards with ease. Tableau Online offers cloud-based collaboration, enabling teams to share and explore visualizations securely.

Tableau Server provides on-premises or private cloud deployment, giving organizations control and enhanced security. Tableau Prep streamlines data preparation, simplifying the cleaning and shaping of data. By integrating these platforms, Tableau fosters collaboration and a unified view of data, enabling informed decision-making.

Analysts publish dashboards to Tableau Online or Server, allowing business users to explore interactive visualizations and gain real-time insights. Embrace Tableau's seamless integration, accessibility, and data-driven capabilities to drive professional success.


Which software is responsible for which part?

Tableau offers a range of pricing options to suit diverse needs. Tableau Desktop Professional provides advanced features, while Tableau Desktop Personal targets individual users. Tableau Prep Builder simplifies data preparation, with Tableau Prep Conductor enabling automation. For collaboration, Tableau Online offers secure cloud-based sharing, and Tableau Server provides on-premises or private cloud deployment.

Licensing models are flexible, catering to user or core-based options. The all-in-one Tableau Creator bundle includes Desktop, Prep Builder, and a choice between Online or Server. Viewer and Explorer licenses allow consuming and exploring visualizations.

Exciting news for educators and students! Tableau offers free access to its powerful data visualization software for valid educational institutions, teachers, and students.

With Tableau for Education, teachers can enhance their classrooms by incorporating data visualization, empowering students to develop crucial skills in data analysis and interpretation across various subjects.

Students can utilize Tableau's intuitive interface and robust features to create stunning visualizations, explore data insights, and effectively present their findings. This opportunity enables them to cultivate essential data analytics skills, giving them a competitive advantage in academia and future careers.

Valid educational institutions can also benefit from Tableau's offerings by integrating it into their curriculum, equipping students with valuable skills that align with industry demands, fostering data-driven decision-making and preparing them for success in a data-centric world.

To access Tableau for Education, eligible teachers, students, and institutions can register through the Tableau website. Once verified, they gain access to the full capabilities of Tableau's software, empowering them to harness the power of data visualization in their educational endeavors.

Empower your educational journey with Tableau for Education. Whether you're a teacher seeking to enhance your curriculum or a student eager to explore the world of data visualization, Tableau provides a valuable resource that sparks curiosity, cultivates critical thinking, and unlocks the potential of data-driven insights.

In this informative guide, we'll walk you through the process of installing Tableau Desktop and Tableau Public, as well as how to download previous versions if you encounter compatibility issues.

To install Tableau Desktop (https://www.tableau.com/products/desktop/download), follow these simple steps:

  1. Visit the Tableau website and navigate to the "Products" section.

  2. Click on "Tableau Desktop" and select the version that matches your operating system (Windows or macOS).

  3. Click the "Download" button to start the installation file download.

  4. Once the download is complete, run the installation file and follow the on-screen instructions.

  5. Activate your Tableau Desktop license using the provided product key or sign in with your Tableau account if applicable.

  6. Complete the installation process, and Tableau Desktop will be ready to use.

For Tableau Public (https://www.tableau.com/en-gb/products/public/download), the installation process is equally straightforward:

  1. Visit the Tableau Public website

  2. Click the "Download" button to obtain the Tableau Public installation file.

  3. Once the download is finished, run the installation file and follow the prompts to complete the installation.

  4. After installation, Tableau Public will be available for use, and you can start creating and sharing visualizations with the public.

If you encounter compatibility issues and require a previous version of Tableau Desktop (https://www.tableau.com/support/releases), follow these steps:

  1. Visit the Tableau website above

  2. Select the version you need based on your compatibility requirements.

  3. Click on the appropriate download link to obtain the installation file.

  4. Follow the installation instructions as outlined above for Tableau Desktop or Tableau Public, depending on your selection.

Remember to check the system requirements and ensure compatibility with your operating system before proceeding with the installation.

By following these steps, you'll be able to install Tableau Desktop and Tableau Public effortlessly, enabling you to leverage the power of data visualization and uncover insights that drive meaningful outcomes.


Join me in this video as I discuss how this course is designed to help you complete the Tableau Certification training, including the Desktop Specialist and Certified Data Analyst certifications.

Tableau offers a comprehensive certification program that validates your expertise in data analysis and visualization. The Tableau Desktop Specialist certification demonstrates your foundational knowledge, covering concepts like data connections and basic visualizations.

The Certified Data Analyst certification showcases advanced skills in data preparation, exploration, analysis, and visualization. Our course aligns with these certifications, providing in-depth coverage of key topics.

Through hands-on practice and real-world examples, you'll gain a comprehensive understanding of Tableau's features. We'll also share tips and strategies to enhance your efficiency and effectiveness.

Completing this course will give you the confidence to succeed in the Tableau Certification exams. Whether you aim to become a Desktop Specialist or a Certified Data Analyst, our course provides the foundation and advanced skills needed.

Enroll now and gain the expertise to tackle real-world data analysis challenges using Tableau. Let's set you on the path to becoming a Tableau-certified professional and elevate your data analysis skills.

What benefits does having Tableau Certification have?
(2023-24 Edition) Accelerator Program - 1 Hour Quick Start Guide

Welcome to the Accelerator Program of our Tableau Data Analytics course! In this video, we provide an overview and introduction to our comprehensive Accelerator Program. Join us as we walk you through the structure, benefits, and learning objectives of this program. Whether you're a beginner or an experienced data analyst, this program will provide you with the tools and knowledge to excel in Tableau Desktop and Tableau Public visualization. Enroll today and fast-track your Tableau skills!

Do I need the Paid Version of Tableau Desktop to do this course?

In this video, we take the first step towards creating impactful visualizations in Tableau by loading data into the software. Join us as we explore the famous Superstore dataset, a fictitious department store dataset containing approximately 10,000 rows of data. Together, we'll dive into the dataset, inspecting its structure, and gaining insights into its key variables and fields. By understanding the data, you'll be equipped to make informed decisions on how to best visualize and analyze it using Tableau. Don't forget to download the data set from the resource dropdowns on the right.

In this video, we explore the two primary methods of loading data into Tableau Desktop: drag and drop and using the interface. Join us as we demonstrate both techniques step-by-step, giving you a comprehensive understanding of how to import your data efficiently.

We'll start by showcasing the convenience of the drag-and-drop method, allowing you to seamlessly import your data files directly into Tableau. Learn how to navigate through your files, select the desired dataset, and effortlessly drop it into Tableau's canvas, ready for analysis and visualization.

Next, we'll dive into the interface method, where we guide you through the process of connecting to various data sources within Tableau. You'll gain insights into connecting to databases, spreadsheets, and other file types, while exploring the different options and settings available to tailor the data import process to your specific needs.

Both methods achieve the same thing, just in two different ways.

Furthermore, we'll provide a detailed explanation of the Tableau Desktop interface, ensuring you're familiar with its key components. From the data pane and shelves to the navigation bar and worksheet area, you'll learn how to effectively navigate and utilize the interface to maximize your data analysis and visualization capabilities.


Bonus: Text Qualifier (Just in case you have this Issue!)

In this video, we dive into the Tableau visualization interface, empowering you to start building captivating visualizations. Join us as we explore the key elements and functionalities that will enable you to unleash your creativity and effectively communicate insights through data.

We'll begin by introducing you to the workspace, where you'll discover the different components that make up the visualization interface. From the toolbar and data pane to the shelves and cards, we'll provide a comprehensive overview of each element and its purpose in the visualization process.

Next, we'll guide you through the process of creating your first visualization. Learn how to select the appropriate chart type, drag and drop data fields onto the shelves, and customize the visual appearance to effectively convey your message. We'll showcase various visualization techniques, including bar charts, line graphs, scatter plots, and more, empowering you to bring your data to life.

Additionally, we'll demonstrate how to utilize the powerful features and options available within the visualization interface. Discover how to apply filters, create calculated fields, and add interactivity to your visualizations through actions and parameters. By the end of this video, you'll have a solid understanding of how to design and refine your visualizations to engage and inform your audience effectively.


In this enlightening video, we emphasize the importance of practicing effective data visualization techniques rather than simply building charts for the sake of it. Join us as we delve into the significance of visualizing data in a meaningful and purposeful way, enabling you to derive valuable insights and make informed decisions.

We'll explore the four core visualizations that serve as the foundation for effective data communication: bar charts, lines, pies, and areas. By mastering these fundamental chart types, you'll gain a powerful toolkit to solve a wide range of analytical challenges. We'll guide you through the principles of each visualization, including their strengths, best practices, and use cases.

Through engaging examples and practical demonstrations, we'll show you how these core visualizations can be applied to represent different types of data, such as categorical, temporal, and proportional data. You'll learn how to choose the most appropriate visualization for your data and goals, ensuring clarity and impact in your visual representations.

Moreover, we'll share tips and insights on how to enhance your visualizations by incorporating additional design elements, such as color, labels, and annotations. These techniques will help you effectively communicate your findings, engage your audience, and ensure that your visualizations convey the intended message accurately.


Learn how to build basic bar charts and their variations in this concise video tutorial. We'll guide you through the step-by-step process, helping you create compelling visualizations for your data. From understanding the core principles of bar charts to exploring variations like grouped, stacked, and side-by-side formats, you'll gain the flexibility to represent and compare data effectively. Discover customization options, such as colors and labels, to enhance your bar charts' visual appeal. Avoid common pitfalls and learn how to interpret and analyze insights from your visualizations. Enroll now to unleash the power of bar charts in your data analysis journey!


In this comprehensive video tutorial, we guide you through the process of building column charts, a powerful visualization tool for representing and analyzing data. Join us as we provide step-by-step instructions, empowering you to create impactful column charts with ease.

We'll start by introducing the concept of column charts and their key features. Learn how to select the appropriate data fields and axes to create a clear and concise representation of your data. Discover different variations of column charts, including grouped columns, stacked columns, and 100% stacked columns, allowing you to visualize and compare data in various ways.

As we dive deeper into the creation process, we'll demonstrate how to customize your column charts for better visual appeal and clarity. Explore options such as color selection, data labels, and formatting to enhance the readability and understanding of your visualizations. We'll also provide guidance on choosing appropriate scales and axes to accurately represent your data.

Additionally, we'll discuss common pitfalls to avoid when building column charts and share best practices for interpreting and analyzing insights derived from your visualizations. By the end of this video, you'll have the skills and knowledge to confidently create column charts and leverage their power in your data analysis.


When do we use Column Charts?

In this concise video tutorial, we not only teach you how to build basic bar charts and their variations but also provide essential insights into formatting these visualizations. Join us as we walk you through the step-by-step process of creating compelling bar charts that are visually appealing and easy to interpret.

Learn how to customize your bar charts by adjusting colors, labels, and formatting options. We'll show you how to choose appropriate colors that enhance the visual impact and readability of your charts. Discover techniques for adding data labels to your bars, allowing viewers to quickly grasp the values represented. We'll also explore formatting options for axes, gridlines, and titles to ensure your bar charts are polished and professional.

Avoid common formatting mistakes and gain practical tips to make your bar charts more engaging and informative. We'll cover best practices for selecting appropriate scales and axes, providing clarity and accuracy in your visualizations. With our guidance, you'll gain the skills to present your data in a visually compelling manner while maintaining data integrity.


In this comprehensive video tutorial, we focus on the SUM aggregation function, a powerful tool for calculating the total sum of numerical values in a dataset. Join us as we explore the ins and outs of using SUM to effectively summarize and analyze your data.

We'll start by explaining the concept of aggregation and why SUM is a fundamental function in data analysis. You'll learn how to apply the SUM aggregation to various scenarios, such as calculating the total sales, revenue, or quantities in your dataset.

Through step-by-step instructions and practical examples, we'll guide you in using the SUM function within popular data analysis tools. Whether you're using Excel, SQL, or a specialized data analytics platform, you'll gain the skills and confidence to harness the power of SUM.

Furthermore, we'll discuss best practices and considerations when using SUM, such as handling missing or null values, dealing with outliers, and ensuring data accuracy. We'll also demonstrate how to customize and format the SUM results to suit your specific needs.


What are the different types of aggregations?

In this instructive video, we dive into the difference between discrete and continuous measures in Tableau Desktop, specifically in the context of line chart visualization and dates. Join us as we explore the nuances of these measures and how they impact the visualization of temporal data.

We'll begin by explaining the concept of discrete measures, which represent distinct, separate values in your dataset. Learn how discrete measures are used to create categorical or nominal data representations. We'll demonstrate how to utilize discrete measures in line charts to showcase data points connected by discrete lines, allowing you to analyze patterns and trends over time.

Next, we'll delve into continuous measures, which represent a range or continuum of values. Discover how continuous measures are used to create quantitative data representations. We'll showcase how to leverage continuous measures in line charts to visualize smooth, continuous lines, enabling you to examine gradual changes and fluctuations in your temporal data.

Furthermore, we'll focus on the significance of dates in line chart visualizations. Understand how Tableau interprets and handles date data, including different date hierarchies and levels of granularity. Learn how to format dates appropriately for optimal visualization and analysis.

Throughout the video, we'll provide practical examples and step-by-step instructions to illustrate the differences between discrete and continuous measures in line chart visualizations, particularly when working with dates. You'll gain a comprehensive understanding of how to leverage these measures to effectively communicate and analyze temporal data.


n this informative video, we explore the practical use of date hierarchies in Tableau Desktop for effective data analysis and visualization. Join us as we dive into the intricacies of date hierarchies and how they enhance the understanding and presentation of temporal data.

We'll start by explaining what date hierarchies are and why they are essential in analyzing time-based data. Learn how date hierarchies provide a structured framework for drilling down into different levels of temporal granularity, such as year, quarter, month, week, and day.

Through practical demonstrations, we'll guide you on how to create and utilize date hierarchies in Tableau Desktop. Discover how to navigate the various levels of granularity, enabling you to extract meaningful insights from your temporal data. We'll showcase how date hierarchies can be applied in line charts, allowing you to visualize trends and patterns at different levels of detail.

In this comprehensive video tutorial, explore various formatting options for line charts. Learn how to enhance visual appeal and clarity by utilizing color customization, splits, and labels. Discover techniques for applying color palettes, assigning colors based on data conditions, and creating visual splits to compare different segments or categories within your data. Gain insights into adding data labels for improved readability and understanding. We'll also cover additional formatting options like line thickness, gradients, and tooltips. Enroll now and unlock the power to create visually stunning and informative line charts in Tableau Desktop.


In this enlightening video tutorial, we explore the world of area charts and delve into their key distinctions from line charts. Join us as we uncover the unique features and formatting options that make area charts a powerful visualization tool.

We'll start by explaining the fundamental differences between area charts and line charts. Discover how area charts provide an additional layer of visual representation by filling the area between the line and the x-axis, emphasizing the magnitude of data values over time.

Through step-by-step instructions, we'll guide you on how to create area charts in Tableau Desktop. Learn how to choose the appropriate data fields and format the chart to effectively visualize your data. We'll cover techniques for adjusting colors, gradients, and transparency to enhance the visual appeal of your area charts.


In this informative video, we explore the powerful "SHOW ME" function in Tableau and highlight its benefits as well as potential pitfalls. Join us as we demonstrate how "SHOW ME" can be used to quickly create visualizations but caution against relying solely on this feature without understanding the underlying principles of visualization construction.

We'll start by introducing the "SHOW ME" function and its role in simplifying the visualization creation process. Discover how it automatically suggests appropriate chart types based on the data fields selected, allowing beginners to generate visualizations with just a few clicks.

However, we'll emphasize the importance of understanding the fundamentals of visualization construction. We'll discuss the risk of over-reliance on "SHOW ME" without comprehending the principles of data visualization. Understanding data types, chart suitability, and effective data encoding are crucial for creating meaningful and accurate visualizations.

Through practical examples and explanations, we'll demonstrate how to go beyond "SHOW ME" and manually construct visualizations with intention. You'll learn how to select appropriate chart types, customize visual elements, and optimize the representation of your data to effectively communicate insights.


What is the quickest way to build a simple visualization in Tableau Desktop?

In this comprehensive video tutorial, we dive into the Quick Table Calculation called Running Total in Tableau. Join us as we demonstrate step-by-step instructions on how to apply this powerful calculation, along with basic formatting techniques, to enhance your data analysis and visualization.

We'll start by introducing the concept of Running Total and its significance in analyzing cumulative values over time. Discover how Running Total allows you to calculate the ongoing sum of a measure as you traverse through your data.

Through practical examples, we'll guide you on how to apply the Running Total calculation to your data in Tableau. You'll learn how to customize the calculation settings, such as setting the direction and order of the calculation, to align with your specific requirements.

Furthermore, we'll explore basic formatting options to enhance the visual appeal of your Running Total calculations. Discover techniques for adjusting colors, labels, and number formatting to present your data effectively.

Additionally, we'll demonstrate how to create a Running Total that restarts each year, allowing you to analyze cumulative values on an annual basis. You'll gain insights into defining partitioning settings to reset the Running Total calculation at the start of each new year.


In this enlightening video tutorial, we explore the Quick Table Calculation function called Moving Average in Tableau. Join us as we explain the purpose and benefits of Moving Average, a smoothing function that helps reveal underlying trends in data by eliminating spikes or fluctuations.

We'll start by introducing the concept of Moving Average and how it can enhance data analysis by providing a more stable and representative trend line. Discover how Moving Average helps to highlight the overall pattern or direction of data by averaging values over a specific window or range.

Through practical examples, we'll guide you on how to apply the Moving Average calculation in Tableau. You'll learn how to specify the window size or the number of periods to include in the calculation, adapting it to your specific data characteristics.

Furthermore, we'll demonstrate the Dual Axis function to deepen your understanding of Moving Average. By overlaying the Moving Average line on top of the original data using the Dual Axis feature, you'll gain visual clarity in comparing the smoothed trend with the actual data points.

Throughout the video, we'll provide valuable insights and tips on interpreting Moving Average results, selecting appropriate window sizes, and incorporating Dual Axis for visualization enhancement.


In this first video of a two-part, we'll explore the creation of individual sheets, which form the building blocks of impactful dashboards. Join us as we uncover the steps to craft compelling visualizations that will captivate your audience and facilitate data exploration.

We'll begin by discussing the purpose and significance of dashboards, highlighting how they enable you to tell stories, convey insights, and provide interactive experiences. Understand how dashboards serve as powerful tools to present complex data in a user-friendly manner.

Welcome back to the second part of our Tableau dashboard series! In this video, we'll dive into the process of compiling the individual sheets we created in the previous video into a cohesive and engaging dashboard. Join us as we explore the steps to bring your visualizations together and create a powerful data storytelling tool.


What is the difference between Sheets and Dashboards in Tableau Desktop?

In this transformative video, we take a previously created basic dashboard and elevate it to a new level using data visualization best practices. Join us as we demonstrate how effective design principles can turn a simple dashboard into a powerful storytelling tool that communicates insights with clarity and impact.

We'll begin by discussing the common misconception that data visualization is merely placing sheets on a page. Through insightful commentary, we'll emphasize that data visualization is a multidimensional process that involves thoughtful design, storytelling, and effective communication.


In this informative video, we'll explore the various methods to export your visualizations or data from Tableau, tailored for both Tableau Desktop (Paid) and Tableau Public (Free) users. Join us as we guide you through step-by-step instructions for exporting your work, regardless of your Tableau version.

We'll start by discussing the exporting capabilities available in Tableau Desktop. Learn how to export your visualizations as image files, PDFs, or PowerPoint slides, allowing you to easily share or incorporate them into presentations or reports. We'll guide you on how to access and customize these export options within Tableau Desktop.

Next, we'll shift our focus to Tableau Public, the free version of Tableau. Discover how to export your visualizations as interactive web-based dashboards or static images, ensuring seamless sharing and accessibility. We'll demonstrate the process of publishing your dashboards to Tableau Public and generating shareable links for easy distribution.

Additionally, we'll explore methods for exporting data from Tableau. Learn how to extract underlying data from your visualizations and save it as Excel, CSV, or text files, empowering you to perform further analysis or share specific datasets with others.


In this empowering video tutorial, we'll guide you through the process of publishing your dashboard to Tableau Public, enabling you to showcase your work and create an online presence for potential employers. Join us as we demonstrate the steps for publishing, tailored for both Tableau Desktop and Tableau Public users.

We'll begin by discussing the significance of Tableau Public as a platform for sharing and showcasing your data visualizations. Discover how Tableau Public allows you to publish interactive dashboards and gain visibility within the Tableau community and beyond.

Using Tableau Desktop, we'll walk you through the process of publishing your dashboard to Tableau Public. Learn how to save your dashboard as a Tableau workbook, create a Tableau Public account, and publish your dashboard directly from Tableau Desktop. We'll cover considerations such as privacy settings and embedding options.

For Tableau Public users, we'll guide you on how to publish your dashboard directly from the Tableau Public interface. Discover how to upload your workbook, set visibility options, and customize the appearance and description of your published dashboard.


Bonus: Re-Establishing a Connection to a Downloaded Workbook from Tableau Public

Get ready for an exciting challenge in our next video! In this assignment, we'll put your skills to the test as you try to rebuild a visualization that I have created. The objective is to closely examine the structure and layout of each visualization and recreate them from scratch. We'll then bring them together on a dashboard to complete the assignment.

You'll be tasked with creating three visualizations that match the design and layout of the original visualization. Pay attention to details such as chart types, colors, labels, and formatting to ensure a faithful reconstruction. This exercise will sharpen your observational skills and strengthen your ability to recreate visualizations accurately.

Welcome to the next video in our series! In this step-by-step tutorial, we'll guide you through the process of solving the previous assignment by building three charts and combining them on a cohesive dashboard.

We'll start by revisiting the original visualization and breaking it down into its individual components. Then, we'll demonstrate how to recreate each chart from scratch, paying close attention to chart types, data fields, colors, labels, and formatting choices.

As we move forward, we'll guide you through the construction of each chart, providing clear instructions and highlighting key techniques along the way. Learn how to select the appropriate chart types to effectively represent your data and how to customize the visual elements to match the original design.

Once all three charts have been created, we'll transition to building the dashboard. Follow along as we demonstrate how to combine the charts into a cohesive layout. Learn how to arrange and align the visualizations, add titles and captions, and create a seamless narrative flow.


Congratulations on completing the Accelerator program! You've acquired the foundational skills in Tableau and are ready to apply them in your everyday data analysis tasks. If you're eager to take your Tableau proficiency to the next level and aspire to become a professional data analyst earning a six-figure income, we recommend proceeding to the Beginner course and beyond.

In the Beginner course, you'll delve deeper into Tableau's features and functionalities, gaining a comprehensive understanding of data visualization principles, advanced chart types, calculations, and data blending techniques. This course will equip you with the tools and knowledge to tackle more complex data analysis projects and deliver impactful insights to stakeholders.

As you progress through the Intermediate and Advanced courses, you'll further refine your skills in Tableau, exploring advanced data manipulation techniques, predictive analytics, mapping, and dashboard optimization. These courses will elevate your expertise, positioning you as a highly sought-after data analyst capable of handling diverse and challenging projects.

By dedicating time and effort to these courses, you'll have the opportunity to become a proficient Tableau user and unlock exciting career opportunities in the data analytics field. Best of luck as you continue to expand your skills and excel in your data analytics career!


Does this mean I'm a Professional Analyst now?
FREE eBook: Tableau - Inspiration in Colour
(2023-24 Edition) Beginner - Data Control and Preparation

Welcome to the hands-on Beginner's Course on Data Visualization with Tableau, aimed at offering a holistic understanding of data analysis and presentation. Begin with learning about datasets, the role of a Data Interpreter, and master data management techniques like splitting, data types, sorting, and saving work on Tableau Public.

Unravel the nuances of Data Extracts, Live Connections, Hyper Files, and acquire skills to organize data via Grouping, Aliases, and reusing groups. Gain proficiency in various sorting and aggregation methods, and delve into Crosstabs and Heatmaps.

Navigate essential filtering techniques using 'Keep Only' and 'Exclude' commands. Explore row-level, relevant, and pre-filtering techniques while learning to filter different data types and undisplayed data.

Expand your skills to the design aspects, learning about Time, and Field Cycle. Understand Hierarchies and their variations, and develop engaging visualizations using Dual Axis, Synchronized Axis, Axis Formatting, and Measure Names and Values.

Get acquainted with Tableau formulas, number and date formats, scatter plots, and default formatting. Enhance your abilities with map formatting options, density plots, and dashboard development. Finally, immerse yourself in advanced Dashboard Actions, Interactiveness, multi-way visualization, and dashboard filters, empowering you to start your Tableau journey.

Get ready for our next insightful video on loading data into Tableau. This time, we're taking a deep dive using a CSV file, a commonly used format for data storage. But that's not all - we'll also be swapping this out with an Excel file later in the video. This will help illustrate how versatile Tableau is in managing data connections from various sources.

In the first half of the video, we'll walk you through the process of loading your CSV data into Tableau. We'll break down each step, ensuring you gain a clear understanding of how to seamlessly import and manage your data.

Then we'll guide you through an exploration of the loaded data itself. This part of the video will help you understand the structure of your data, recognize potential challenges, and reveal how Tableau's robust features can make your data work for you.

By the end of this tutorial, you'll not only know how to load data into Tableau from different file types, but also how to navigate and understand your data once it's inside Tableau. So tune in and let's get started on further empowering your data visualization journey with Tableau!

Let's delve into the core components of data preparation in Tableau: data splitting, renaming fields, and changing data types. Mastering these skills is key to simplifying your workflow as we proceed to data visualization.

We'll start by demonstrating two effective methods of data splitting in Tableau, a vital step that helps segment your data into manageable parts, making it more comprehensible and easy to manipulate. The tutorial will also guide you on how to rename fields, an essential process for enhancing clarity and making your datasets more reader-friendly.

Next, we'll dive into the all-important concept of changing data types. This often-underestimated step is critical in ensuring accurate analysis and data integrity. We'll help you grasp the difference between the types and when to use each one, grounding you in a principle that extends beyond Tableau to almost every other software you'll use as an analyst.

By the end of this video, you'll have a firm grip on these fundamental data preparation techniques. This knowledge will not only streamline your processes but also lay a solid foundation for the subsequent steps in your data visualization journey. So tune in, and let's get your data into shape!


Welcome to our next video where we'll be diving deep into the Live vs Extract connection types in Tableau. To explore these features, we'll be using the full paid version of the software, Tableau Desktop Professional Edition.

In this tutorial, we'll demystify what Live and Extract connections really mean. With a Live connection, Tableau is continuously linked to your data source, in our case, a CSV file. This means your visuals stay up-to-date in real time. However, as you delve into larger files, particularly those sourced online from servers or the cloud, you might experience a slowdown due to high-security measures, firewall protections as well as overall volume.

On the flip side, Extract connections capture a data 'snapshot' and generate a Hyper file, making your workbook run much more efficiently. But here's a word of caution: Extracts create a local copy of your data, which could potentially breach security policies in some organizations.

We'll also discuss how to choose the connection type that suits your needs best and navigate the potential challenges you might face. Always remember to consult with your IT department before opting for Extracts, to ensure you're within your company's guidelines. Tune in to navigate these crucial aspects of Tableau Desktop Professional Edition!


Get set for our next video, where we'll tackle an essential aspect of using Tableau Public: saving your work. Since Tableau Public doesn't support local file saving, it's important to keep your work safe and accessible.

In this tutorial, we'll guide you through the step-by-step process of saving a copy of your work directly on Tableau Public. This is especially crucial for a comprehensive course like this, where recreating lost work could be a time-consuming and frustrating task.

You'll learn the nuances of saving and managing your Tableau projects on the platform, ensuring your work is always secure and ready for your next session. This tutorial is a must-watch for anyone using Tableau Public, as it provides valuable insights into preserving your hard work and avoiding any potential loss of progress.

So, don't miss out on this guide and remember: Always save your work on Tableau Public to make your data visualization journey smooth and hassle-free. Tune in, and let's get saving!


What is the difference between Live and Extract Connections?
(2023-24 Edition) Beginner - Grouping, Sorting, Aggregations and Heat Maps

Let's explore the powerful features of Grouping and Aliases in Tableau. These functionalities are incredibly handy when you're looking to swiftly group combinations within fields into fresh, new fields with unique aliases.

In this video, we'll break down how to use Grouping to categorize your data in meaningful ways, creating new fields that make your data analysis more efficient. We'll also delve into the world of Aliases, demonstrating how you can rename the members of your groups to make your data more readable and informative.

While the alternative way of categorizing data might involve using an IF function, it can be a time-consuming process and not always the most enjoyable one. That's why we'll show you how leveraging the power of Grouping and Aliases can save you time and make your work with Tableau more engaging.

So, whether you're just starting out with Tableau or looking to enhance your skills, this video is a must-watch. Join us and discover how Grouping and Aliases can elevate your data analysis experience. Let's get grouping!


Get ready for our upcoming video tutorial, where we dive into the world of Sorting in Tableau - a seemingly simple technique that can significantly enhance your data visualizations.

Sorting is a critical tool when presenting data, providing clarity and focus for viewers. Imagine showing an unsorted list of countries by profit to stakeholders; it could be a challenge for them to identify key insights. However, a sorted list instantly highlights the countries with the lowest profits, making the information digestible and actionable.

In this tutorial, we'll be covering several sorting methods, from basic alphabetical and numerical sorts to more advanced techniques. We'll guide you on when and how to use each method, empowering you to present your data in the most effective and impactful ways.

So, whether you're a novice or a seasoned Tableau user, this video is a must-watch. Join us to discover how the power of Sorting can transform your data visualization journey. Let's sort it out!


Aggregates - Count, Min, Max, Average, Median, Distinct Count on String
Crosstabs, Heat Maps and Totals
What does Grouping do?
(2023-24 Edition) Beginner - Filtering Dates, Measures and Strings
Getting Started with Filters - Keep Only and Exclude
Filtering with a Field that's not in the Visualization
Filtering Discrete Dates - Right Click Drag Method
Filtering Continuous Dates
What is the difference between Discrete and Continuous dates in Tableau Desktop?
Relative Date Filtering
Filtering Measures - Aggregate vs Row Level Filtering
Pre-Filtering and Computational Efficiency Considerations
Displaying Filtering Controls - Best Practices
Filtering Strings - Different Filtering Display Options and Examples
Relevant Filtering
When should you pre-filter a data set in Tableau Desktop?
(2023-24 Edition) Beginner - Visualizations, Functions, Maps and Density Plots
Hierarchies - Bonus Map Hierarchy Demo
Dual Axis 3 Examples - Basic 2 line, Running Total combo chart, Moving AVG
Measure Name and Values - Different Arrangements - Crosstab - Line - Bar
Getting Started with Formulas - ZN Function for Nulls
Arithmetic Functions
Scatter Plots - 3 Ways
What is the purpose of a scatter plot in Tableau Desktop?
Number Formatting and Default Formatting
Setting up your Regions Correctly for Map Visualizations
Getting Started with Maps - Dots and Boundary's plus basic formatting
Map Terrain Formatting Options
Density Plots
Measures allow us to view a maximum of two measures at a time, side by side
(2023-24 Edition) Beginner - Dashboard Designs and Assignments
Dashboard Actions - Example 1
Dashboard Actions - Example 2
Dashboard Actions - Example 3
What is the difference between a dashboard and a sheet in Tableau Desktop?
Adding Filters to Dashboards
Applying Filters to Multiple Sheets in a Dashboard
Assignment (Problem)
Assignment (Solution 1)
Assignment (Solution 2)
What is the purpose of a dashboard for a stakeholder in Tableau Desktop?

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines basic to complex Tableau functionalities and data visualization principles
Applicable to a wide range of learners, from beginners to advanced professionals
Taught by an experienced instructor with a strong reputation in the industry
Provides hands-on experience and interactive materials to enhance learning
May require additional costs for software and resources, which can be a barrier for some learners
Focuses on the paid version of Tableau, which may limit accessibility for those who prefer free or open-source alternatives

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Reviews summary

Tableau certified data analyst mastery

learners say this course is largely positive, well received, and engaging. According to students, this course is highly recommended for beginners and covers a wide range of topics, making it suitable for both beginners and experienced users. The instructor, Jed Guinto, is praised for his clear and enthusiastic teaching style and his ability to explain complex concepts in a simple manner. Students also appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught. Some students have noted that the course could be improved by providing more challenges and exercises to test their understanding of the material. Additionally, some students have reported that the course is not as up-to-date as they would like, and that some of the videos and materials are outdated. Overall, this course is a comprehensive and well-structured resource for learning Tableau. It is suitable for both beginners and experienced users, and the instructor's engaging teaching style makes the learning process enjoyable.
- Students appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught
"students appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught"
- Covers a wide range of topics, suitable for both beginners and experienced users
"highly recommended for beginners and covers a wide range of topics, making it suitable for both beginners and experienced users"
- Instructor, Jed Guinto, is praised for his clear and enthusiastic teaching style and his ability to explain complex concepts in a simple manner
"The instructor, Jed Guinto, is praised for his clear and enthusiastic teaching style and his ability to explain complex concepts in a simple manner."
- Engaging and enjoyable learning experience - Students appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught
"learners say this course is largely positive, well received, and engaging"
"students appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught"
- Highly recommended for beginners - Suitable for both beginners and experienced users
"highly recommended for beginners and covers a wide range of topics, making it suitable for both beginners and experienced users"
- Highly recommended for beginners - Covers a wide range of topics, suitable for both beginners and experienced users - Instructor, Jed Guinto, is praised for his clear and enthusiastic teaching style and his ability to explain complex concepts in a simple manner
"highly recommended for beginners and covers a wide range of topics, making it suitable for both beginners and experienced users"
"The instructor, Jed Guinto, is praised for his clear and enthusiastic teaching style and his ability to explain complex concepts in a simple manner."
- Largely positive feedback from learners - Well received by students - Engaging and enjoyable learning experience
"learners say this course is largely positive, well received, and engaging"
"students appreciate the inclusion of real-world examples and practical exercises, which help reinforce the concepts being taught"
- Some students have reported that the course is not as up-to-date as they would like, and that some of the videos and materials are outdated
"Some students have reported that the course is not as up-to-date as they would like, and that some of the videos and materials are outdated"
- Some students have noted that the course could be improved by providing more challenges and exercises to test their understanding of the material - Some students have reported that the course is not as up-to-date as they would like, and that some of the videos and materials are outdated
"Some students have noted that the course could be improved by providing more challenges and exercises to test their understanding of the material"
"Some students have reported that the course is not as up-to-date as they would like, and that some of the videos and materials are outdated"
- Some students have noted that the course could be improved by providing more challenges and exercises to test their understanding of the material
"Some students have noted that the course could be improved by providing more challenges and exercises to test their understanding of the material"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in 2024 Tableau Certified Data Analyst Training with these activities:
Tableau Certification Journey
Learn the principles and practices of Tableau Desktop and prepare for Tableau Certification exams.
Browse courses on Tableau Certification
Show steps
  • Watch the provided tutorial video.
  • Follow along with the presenter to create visualizations and dashboards.
  • Complete the practice exercises at the end of the video.
Data Visualization Exercises
Reinforce your understanding of data visualization principles through hands-on practice.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to work with.
  • Create visualizations to represent different aspects of the data.
  • Analyze the visualizations and identify insights.
Tableau Dashboard Project
Apply your skills to create an interactive dashboard that communicates insights from a given dataset.
Browse courses on Tableau
Show steps
  • Identify the purpose and audience for your dashboard.
  • Design the layout and structure of your dashboard.
  • Create visualizations and add them to your dashboard.
  • Test and refine your dashboard.
Show all three activities

Career center

Learners who complete 2024 Tableau Certified Data Analyst Training will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their technical skills to collect, process, and analyze large amounts of data. They work closely with businesses to help them understand their data and make better decisions. This course is an excellent way to develop the skills needed to become a Data Analyst. It covers a wide range of topics, including data visualization, data cleaning, and data analysis.
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and programming to develop models that can predict future outcomes. They work in a variety of industries, including finance, healthcare, and retail. This course is a great way to learn the skills needed to become a Data Scientist. It covers a wide range of topics, including data visualization, data cleaning, data analysis, and machine learning.
Business Intelligence Analyst
Business Intelligence Analysts use their skills to help businesses understand their data and make better decisions. They work closely with stakeholders to identify key business questions and develop solutions. This course is a great way to develop the skills needed to become a Business Intelligence Analyst. It covers a wide range of topics, including data visualization, data cleaning, and data analysis.
Market Researcher
Market Researchers use their skills to collect, analyze, and interpret data about consumers and markets. They work closely with businesses to help them understand their customers and make better decisions. This course is a great way to develop the skills needed to become a Market Researcher. It covers a wide range of topics, including data visualization, data cleaning, and data analysis.
Financial Analyst
Financial Analysts use their skills to analyze financial data and make investment recommendations. They work closely with businesses to help them make sound financial decisions. This course is a great way to develop the skills needed to become a Financial Analyst. It covers a wide range of topics, including data visualization, data cleaning, and data analysis.
Operations Research Analyst
Operations Research Analysts use their skills to develop and implement solutions to business problems. They work closely with businesses to help them improve their efficiency and productivity. This course is a great way to develop the skills needed to become an Operations Research Analyst. It covers a wide range of topics, including data visualization, data cleaning, and data analysis.
Project Manager
Project Managers use their skills to plan, execute, and close projects. They work closely with stakeholders to ensure that projects are completed on time, within budget, and to scope. This course may be useful for Project Managers who want to develop their skills in data visualization and data analysis.
Sales Manager
Sales Managers use their skills to lead and motivate sales teams. They work closely with customers to identify their needs and develop sales strategies. This course may be useful for Sales Managers who want to develop their skills in data visualization and data analysis.
Marketing Manager
Marketing Managers use their skills to develop and implement marketing campaigns. They work closely with customers to identify their needs and develop marketing strategies. This course may be useful for Marketing Managers who want to develop their skills in data visualization and data analysis.
Product Manager
Product Managers use their skills to develop and manage products. They work closely with stakeholders to identify customer needs and develop products that meet those needs. This course may be useful for Product Managers who want to develop their skills in data visualization and data analysis.
Information Systems Manager
Information Systems Managers use their skills to manage the information systems of an organization. They work closely with IT staff to ensure that the systems are running smoothly and efficiently. This course may be useful for Information Systems Managers who want to develop their skills in data visualization and data analysis.
Database Administrator
Database Administrators use their skills to manage the databases of an organization. They work closely with IT staff to ensure that the databases are running smoothly and efficiently. This course may be useful for Database Administrators who want to develop their skills in data visualization and data analysis.
Web Developer
Web Developers use their skills to develop and maintain websites. They work closely with IT staff to ensure that the websites are running smoothly and efficiently. This course may be useful for Web Developers who want to develop their skills in data visualization and data analysis.
Computer Programmer
Computer Programmers use their skills to develop and maintain software applications. They work closely with IT staff to ensure that the software is running smoothly and efficiently. This course may be useful for Computer Programmers who want to develop their skills in data visualization and data analysis.
Human Resources Manager
Human Resources Managers use their skills to manage the human resources department of an organization. They work closely with employees to ensure that they are happy and productive. This course may be useful for Human Resources Managers who want to develop their skills in data visualization and data analysis.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in 2024 Tableau Certified Data Analyst Training.
Provides an in-depth look at advanced Tableau techniques. It covers topics such as data blending, calculated fields, and dashboard design. It is particularly useful for advanced users who want to learn how to create complex and interactive visualizations.
Starts out by introducing the key aspects of data visualization and the importance of Tableau for various individuals. Along the way, you will learn to create a wide range of visualizations that will help you communicate your data more effectively.
Guide to data visualization and statistics. It covers a wide range of topics, including data visualization techniques, statistical concepts, and best practices. It is written in a clear and concise style, and it is packed with helpful examples.
Adds more depth and breadth to the course, providing more detail on how to create different types of visualizations for different business scenarios. Advanced Tableau users who require this depth may wish to use this as a reference tool while completing this course.
Is the official handbook for Tableau. It covers a wide range of topics, from basic to advanced. It is written in a clear and concise style, and it is packed with helpful examples.
Practical guide to data visualization with Tableau. It covers a wide range of topics, including data preparation, visualization design, and storytelling. It is written in a clear and concise style, and it is packed with helpful examples.
Guide to information dashboard design. It covers a wide range of topics, including data visualization, dashboard design principles, and best practices. It is written in a clear and concise style, and it is packed with helpful examples.

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