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Kirill Eremenko, SuperDataScience Team, and Ligency Team

Learn data visualization through Tableau  and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

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Learn data visualization through Tableau  and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, or production bottlenecks.

You'll learn all of the features in Tableau that allow you to explore, experiment with, fix, prepare, and present data easily, quickly, and beautifully.

Use Tableau to Analyze and Visualize Data So You Can Respond Accordingly

  • Connect Tableau to a Variety of Datasets

  • Analyze, Blend, Join, and Calculate Data

  • Visualize Data in the Form of Various Charts, Plots, and Maps

Convert Raw Data Into Compelling Data Visualizations Using Tableau

Because every module of this course is independent, you can start in whatever section you wish, and you can do as much or as little as you like.

Each section provides a new data set and exercises that will challenge you so you can learn by immediately applying what you're learning.

Content is updated as new versions of Tableau are released. You can always return to the course to further hone your skills, while you stay ahead of the competition.

Contents and Overview

This course begins with Tableau basics. You will navigate the software, connect it to a data file, and export a worksheet, so even beginners will feel completely at ease.

To be able to find trends in your data and make accurate forecasts, you'll learn how to work with data extracts and timeseries.

Also, to make data easier to digest, you'll tackle how to use aggregations to summarize information. You will also use granularity to ensure accurate calculations.

In order to begin visualizing data, you'll cover how to create various charts, maps, scatterplots, and interactive dashboards for each of your projects.

You'll even learn when it's best to join or blend data in order to work with and present information from multiple sources.

Finally, you'll cover the latest and most advanced features of data preparation in Tableau 10, where you will create table calculations, treemap charts, and storylines.

By the time you complete this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract knowledge from data so you can analyze and visualize complex questions with ease.

You'll be fully prepared to collect, examine, and present data for any purpose, whether you're working with scientific data or you want to make forecasts about buying trends to increase profits.

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What's inside

Learning objectives

  • Install tableau desktop
  • Connect tableau to various datasets: excel and csv files
  • Create barcharts
  • Create area charts
  • Create maps
  • Create scatterplots
  • Create piecharts
  • Create treemaps
  • Create interactive dashboards
  • Create storylines
  • Understand types of joins and how they work
  • Work with data blending in tableau
  • Create table calculations
  • Work with parameters
  • Create dual axis charts
  • Create calculated fields
  • Create calculated fields in a blend
  • Export results from tableau into powerpoint, word, and other software
  • Work with timeseries data (two methods)
  • Creating data extracts in tableau
  • Understand aggregation, granularity, and level of detail
  • Adding filters and quick filters
  • Create data hierarchies
  • Adding actions to dashboards (filters & highlighting)
  • Assigning geographical roles to data elements
  • Advanced data preparation (including latest updates in tableau)
  • Show more
  • Show less

Syllabus

It's super easy to get Started
Welcome Challenge!
Welcome! What is Tableau & Course Overview
Installation
Read more
Exercise - Get Excited!
Get the Datasets here
Extra Resources
Tableau Basics: Your First Bar chart
The Business Challenge - Who Gets the Annual Reward?
Connecting Tableau to a Data File - CSV File
Navigating Tableau
Creating Calculated Fields
Adding Colors
Adding Labels and Formatting
Exporting Your Worksheet
Get The Viz
Tableau Basics
Time series, Aggregation, and Filters
Section Intro
Working with Data Extracts in Tableau
Working with Time Series
Understanding Aggregation, Granularity, and Level of Detail
Creating an Area Chart & Learning About Highlighting
Adding a Filter and Quick Filter
Timeseries, Aggregation, and Filters
Maps, Scatterplots, and Your First Dashboard
Relationships vs Joins (v. 2020.2 update)
Joining Data in Tableau
Creating a Map, Working with Hierarchies
Creating a Scatter Plot, Applying Filters to Multiple Worksheets
Let's Create our First Dashboard!
Adding an Interactive Action - Filter
Adding an Interactive Action - Highlighting
Joining, Blending and Relationships; PLUS: Dual Axis Charts
Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work
Joins With Duplicate Values
Joining on Multiple Fields
The Showdown: Joining Data v.s. Blending Data in Tableau
Data Blending in Tableau
Dual Axis Chart
Creating Calculated Fields in a Blend (Advanced Topic)
New challenge and dataset!
The Data Model (v2020.2 update)
Working with Relationships in Tableau (v2020.2 update)
Section Recap
Joining and Blending Data, PLUS: Dual Axis Charts
Table Calculations, Advanced Dashboards, Storytelling
Downloading the Dataset and Connecting to Tableau
Mapping: how to Set Geographical Roles
Creating Table Calculations for Gender
Creating Bins and Distributions For Age
Leveraging the Power of Parameters
How to Create a Tree Map Chart
Creating a Customer Segmentation Dashboard
Advanced Dashboard Interactivity
Analyzing the Customer Segmentation Dashboard *
Creating a Storyline
Advanced Data Preparation
What Format Your Data Should Be In
Data Interpreter
Pivot
Splitting a Column into Multiple Columns
MetaData Grid
Fixing Geographical Data Errors in Tableau
Clusters, Custom Territories, Design Features
The Challenge: Startup Expansion Analytics
Custom Territories Via Groups
Custom Territories Via Geographic Roles
Adding a Highlighter
Clustering In Tableau
Cross-Database Joins
Modeling With Clusters
Saving Your Clusters
New Mobile Features
What's new in Tableau
Data From PDF Files
Connecting to PDF
Connecting to Spatial Files
Joining to Spatial Files
Putting it All Together
Step and Jump Line Chart
Viz in Tooltip
Conclusion
Course overview and roadmap download
THANK YOU Video
EXTRA: Interview With A Graduate Of This Course
Some Additional Resources!!
Congratulations!! Don't forget your Prize :)
Huge Congrats for completing the challenge!
Bonus: How To UNLOCK Top Salaries (Live Training)

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores Tableau, which is standard in data visualization and can be useful for inventory management, financial tracking, and data analysis
Taught by Kirill Eremenko, SuperDataScience Team, and Ligency Team, who are all recognized for their work in data science and data visualization
Develops skills in data visualization through Tableau, including creating various charts, maps, scatterplots, and dashboards, which are core skills for data scientists, analysts, and business intelligence professionals
Begins with Tableau basics and progresses to advanced data preparation, ensuring a strong foundation for beginners and intermediate learners alike
Provides hands-on labs and interactive materials, including exercises and challenges, to reinforce learning and provide practical application of skills
Covers a comprehensive range of Tableau features, including data preparation, visualization, and dashboard creation, providing a well-rounded understanding of the software

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Reviews summary

Clear and comprehensive tableau training

According to students, this comprehensive course on Tableau is a great way to advance data science skills. Students say explanations are clear and the assignments are engaging, but they note that some topics are missing.
Covers Tableau in depth, making it easy to understand concepts.
"This course provides an in-depth overview of Tableau."
"The lessons are well-structured and easy to follow."
Some advanced Tableau topics are missing from the course.
"A few advanced topics are missing, but they may be covered in a more advanced course."

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 Tableau A-Z: Hands-On Tableau Training for Data Science with these activities:
Tableau Concepts Review
This activity ensures that you refresh your understanding in Tableau concepts and refresh your mind before proceeding with the course.
Show steps
  • Review the Tableau documentation.
  • Watch videos or tutorials on Tableau concepts.
  • Take a Tableau practice quiz.
Review Data Analysis Fundamentals
Reinforce essential data analysis concepts to strengthen your foundation for this course.
Browse courses on Data Analysis
Show steps
  • Review notes or textbooks on data analysis concepts.
  • Work through practice problems or exercises.
  • Participate in online forums or discussion groups to engage with other learners.
Seek Mentorship from Tableau Experts
Connect with experienced Tableau users to gain valuable guidance and support.
Browse courses on Tableau
Show steps
  • Attend industry events or online forums to network with Tableau professionals.
  • Reach out to individuals on LinkedIn or other social media platforms.
  • Ask for advice, feedback, and insights on your Tableau journey.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Volunteer with Data-Driven Organizations
Apply your Tableau skills while making a positive impact on your community.
Browse courses on Data Analysis
Show steps
  • Identify organizations that utilize Tableau for data analysis and visualization.
  • Contact the organizations and inquire about volunteer opportunities.
  • Assist with data analysis, visualization, and reporting projects.
Join a Tableau Study Group
Connect with peers, share knowledge, and support each other's learning journey in Tableau.
Browse courses on Tableau
Show steps
  • Find or form a study group with other Tableau learners.
  • Meet regularly to discuss course material, work on projects together, and share resources.
  • Provide feedback and support to fellow group members.
Tableau Practice Exercises
Improve your proficiency in Tableau by completing guided exercises and challenges.
Browse courses on Tableau
Show steps
  • Follow along with online tutorials or guided exercises.
  • Create different types of charts, maps, and dashboards using Tableau.
  • Experiment with different data sources and visualizations.
Tableau Calculations Workout
This activity will help you practice your Tableau calculations and ensure that you are comfortable using them.
Browse courses on Calculations
Show steps
  • Download the Tableau Calculations Workout workbook.
  • Open the workbook and start working through the exercises.
  • Check your answers against the provided solutions.
Create a Sample Data Dashboard
Apply your Tableau skills by creating a custom data dashboard to visualize a dataset.
Browse courses on Data Visualization
Show steps
  • Gather and prepare a dataset for visualization.
  • Explore and analyze the data using Tableau.
  • Design and create a dashboard that effectively communicates insights.
  • Share your dashboard with others for feedback and discussion.
Develop a Tableau Portfolio
Showcase your Tableau skills and demonstrate your expertise through a portfolio.
Browse courses on Tableau
Show steps
  • Collect your best Tableau visualizations and dashboards.
  • Create a website or online portfolio to display your work.
  • Include descriptions and explanations for each visualization.
  • Share your portfolio with potential employers or clients.
Explore Advanced Tableau Techniques
Expand your Tableau expertise by exploring advanced techniques and features.
Browse courses on Tableau
Show steps
  • Search for and enroll in online courses or tutorials.
  • Learn about table calculations, custom territories, and data blending.
  • Apply advanced techniques to real-world datasets.
Tableau Dashboard Project
This activity will allow you to apply your Tableau skills to create a dashboard that visualizes data in a meaningful way.
Browse courses on Data Visualization
Show steps
  • Choose a dataset to use for your dashboard.
  • Create a Tableau workbook and connect to your data.
  • Create visualizations to represent your data.
  • Design and layout your dashboard.
  • Publish your dashboard and share it with others.
Participate in Tableau Competitions
Challenge yourself and showcase your Tableau skills by participating in competitions.
Browse courses on Tableau
Show steps
  • Identify and register for relevant Tableau competitions.
  • Analyze the competition data and develop a visualization strategy.
  • Create a compelling and impactful data visualization.
  • Submit your entry and receive feedback from judges and fellow participants.

Career center

Learners who complete Tableau A-Z: Hands-On Tableau Training for Data Science will develop knowledge and skills that may be useful to these careers:
Data Scientist
Tableau is a useful data visualization software that Data Scientists use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to data scientists. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Data Scientists who want to improve their data visualization skills or who are new to using Tableau.
Machine Learning Engineer
Tableau is a useful data visualization software that Machine Learning Engineers use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to machine learning engineers. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Machine Learning Engineers who want to improve their data visualization skills or who are new to using Tableau.
Business Analyst
Tableau is a useful data visualization software that Business Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to business analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Business Analysts who want to improve their data visualization skills or who are new to using Tableau.
Operations Research Analyst
Tableau is a useful data visualization software that Operations Research Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to operations research analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Operations Research Analysts who want to improve their data visualization skills or who are new to using Tableau.
Statistician
Tableau is a useful data visualization software that Statisticians use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to statisticians. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Statisticians who want to improve their data visualization skills or who are new to using Tableau.
Data Architect
Tableau is a useful data visualization software that Data Architects use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to data architects. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Data Architects who want to improve their data visualization skills or who are new to using Tableau.
Software Engineer
Tableau is a useful data visualization software that Software Engineers use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to software engineers. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Software Engineers who want to improve their data visualization skills or who are new to using Tableau.
Data Analyst
Tableau is a useful data visualization software that Data Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to data analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Data Analysts who want to improve their data visualization skills or who are new to using Tableau.
Database Administrator
Tableau is a useful data visualization software that Database Administrators use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to database administrators. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Database Administrators who want to improve their data visualization skills or who are new to using Tableau.
Financial Analyst
Tableau is a useful data visualization software that Financial Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to financial analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Financial Analysts who want to improve their data visualization skills or who are new to using Tableau.
Data Engineer
Tableau is a useful data visualization software that Data Engineers use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to data engineers. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Data Engineers who want to improve their data visualization skills or who are new to using Tableau.
Business Intelligence Analyst
Tableau is a useful data visualization software that Business Intelligence Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to business intelligence analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Business Intelligence Analysts who want to improve their data visualization skills or who are new to using Tableau.
Market Research Analyst
Tableau is a useful data visualization software that Market Research Analysts use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to market research analysts. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Market Research Analysts who want to improve their data visualization skills or who are new to using Tableau.
Big Data Engineer
Tableau is a useful data visualization software that Big Data Engineers use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to big data engineers. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Big Data Engineers who want to improve their data visualization skills or who are new to using Tableau.
Data Visualization Engineer
Tableau is a useful data visualization software that Data Visualization Engineers use to analyze data quickly and efficiently. This course covers many features and techniques for using the software for data visualization, which will be helpful to data visualization engineers. Furthermore, this course places a special emphasis on using Tableau for data science, including how to prepare data, create interactive dashboards, and tell stories with data. This course may be particularly useful for Data Visualization Engineers who want to improve their data visualization skills or who are new to using Tableau.

Reading list

We've selected seven 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 Tableau A-Z: Hands-On Tableau Training for Data Science.
Comprehensive guide to Tableau, and it covers topics such as data preparation, chart creation, and dashboard design. It also includes advanced topics such as data blending, calculated fields, and parameters.
Provides a comprehensive overview of Tableau, and it covers topics such as data preparation, chart creation, and dashboard design. It also includes case studies and examples that demonstrate how Tableau can be used to solve real-world problems.
Practical guide to using Tableau to create data visualizations and dashboards. It provides comprehensive instructions, tips, and tricks for working with Tableau, and it covers topics such as data preparation, chart creation, and dashboard design.
Provides a comprehensive overview of data storytelling, and it covers topics such as data visualization, narrative techniques, and audience engagement.
Provides a comprehensive overview of dashboard design, and it covers topics such as data visualization, user experience, and storytelling.
Beginner-friendly guide to Tableau, and it covers topics such as data preparation, chart creation, and dashboard design.

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