Tableau Advanced: Master Tableau in Data Science from Udemy

Tableau Advanced Training: Master Tableau in Data Science

Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing.

Ready to take your Tableau skills to the next level?

Want to truly impress your boss and the team at work?

This course is for you.

Hours of professional Tableau Video training, unique datasets designed with years of industry experience in mind, engaging exercises that are both fun and also give you a taste for Analytics of the

In this course you will learn:

How to use Groups and Sets to increase your work efficiency 10x
How to use Dynamic Sets
How to Control Sets With Parameters
Everything about Table Calculations and how to use their power in your analysis
How to perform Analytics and Data Mining in Tableau
How to create Animations in Tableau
And much, much more.

Each module is independent so you can start learning from wherever you see fit. The more you learn the better you will get. However, you can stop at any time you will still have a strong set of skills to take with you.

Each module is based on a unique case study, where you will need to apply Tableau in a practical way and learn theory by doing.

What's inside

Learning objectives

Create and use groups
Understand the difference between groups and sets
Create and use static sets
Create and use dynamic sets
Combine sets into more sets
Use sets as filters
Create sets via formulas
Control sets with parameters
Control reference lines with parameters
Use multiple fields in the colour property
Create highly interactive dashboards
Develop an intrinsic understanding of how table calculations work

Use quick table calculations
Write your own table calculations
Combine multiple layers of table calculations
Use table calculations as filters
Use trendlines to interrogate data
Perform data mining in tableau
Create powerful storylines for presentation to executives
Understand level of details
Implement advanced mapping techniques
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Create and use groups
Understand the difference between groups and sets
Create and use static sets
Create and use dynamic sets
Combine sets into more sets
Use sets as filters
Create sets via formulas
Control sets with parameters
Control reference lines with parameters
Use multiple fields in the colour property
Create highly interactive dashboards
Develop an intrinsic understanding of how table calculations work
Use quick table calculations
Write your own table calculations
Combine multiple layers of table calculations
Use table calculations as filters
Use trendlines to interrogate data
Perform data mining in tableau
Create powerful storylines for presentation to executives
Understand level of details
Implement advanced mapping techniques
Show more
Show less

Syllabus

Introduction

Welcome Challenge!

Welcome to the Tableau Advanced course

Get the Datasets here

Extra Resources

Groups and Sets

Section Intro

Project Brief: 1,000 Startups

Working with Groups

Creating Static Set

Creating Dynamic Set

Combining Sets

Controlling Sets With Parameters

Dashboard: The Startup Quadrant

Dashboard Tricks

Section Recap

Advanced Table Calculations

Project Brief: Coal Terminal Utilization Analysis

Creating Multiple Joins in Tableau

Calculated Fields vs Table Calculations

Creating Advanced Table Calculations

Saving a Quick Table Calculation

Specifying Direction of Computation

Writing your own Table Calculations

Adding a Second Layer Moving Average

Quality Assurance For Table Calculations

Trendlines for Power-Insights

Creating a Storyline

Executive Report is Ready

Advanced Data Prep + Analytics In Tableau

Project Brief: Retail Sector Forecasts

Building Box Plots in Tableau

Analysing Box Plots

Working with Large Data Sources

Pivot & Split

What Does Real World Retail Look Like?

Primary Use Case For Data Source Filters

Trendlines

Data Prep Exercise

Advanced Timeseries Blending

Calculating Sales Per Capita

Forecasting in Tableau

How to Present a Storyline

Creating Animations in Tableau

Project Brief: World Health Trends

Editing Blending Relationships

Building the Visualisation

Adding Animation

Manually Sorting Blended Data

Leaving a Trail in your Animations

Finalizing the Dashboard

Animations in Tableau

Level Of Detail Calculations (LOD)

Project Brief: Regional Profit Analysis

Preparing the workbook

Aggregation and Granularity (refresher)

LOD Calculations Intuition

LOD Type 1: INCLUDE

Understanding ATTR() in Tableau

LOD Type 2: EXCLUDE (Part 1)

LOD Type 2: EXCLUDE (Part 2)

Multiple fields in an LOD Calculation

LOD Type 3: FIXED

Finalizing the Visualization

Level Of Detail Calculations

Advanced Mapping Techniques

Getting into shape with Polygons

Background maps

Solving business challenge

Drawing tool for Tableau

Custom images on maps

Distance calculations

Customizing maps with Mapbox

Conclusion

Course Overview

THANK YOU Video

Exclusive Offer

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Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops visualizations and data mining skills through real-life analytics problems

Taught by Kirill Eremenko, SuperDataScience Team, and Ligency Team, who are recognized for their work in data science and analytics

Provides comprehensive training on advanced Tableau techniques, including groups, sets, table calculations, data mining, and animations

Offers a hands-on approach with unique datasets designed to simulate real-world industry experience

Suitable for individuals seeking to enhance their Tableau skills and impress employers

Advises that students have a basic understanding of Tableau before enrolling

Reviews summary

Advanced mastery for tableau users

According to students, this course is advanced and enables learners to master Tableau in data science. Learners say the instructor explains complex concepts clearly and that there is plenty of opportunity to practice. Students say they highly recommend this course to anyone looking to learn new things about Tableau and improve their overall skills.

Provides opportunities to practice.

"There's plenty of chance for practice."

Explains complex concepts very clearly.

"This is my second course from this teacher, and as usual he does a great job explaining things."

Highly recommended course for advanced Tableau learning.

"Take this course if you're trying to learn new things about tableau and improve your overall skills."

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 Advanced: Master Tableau in Data Science with these activities:

Review Data Visualization Fundamentals

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Refresh your understanding of data visualization principles and techniques to prepare for advanced concepts in this course.

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Review key concepts of data visualization, including chart types, data encodings, and visual perception principles.
Practice creating simple visualizations using a data visualization tool or software.
Identify common challenges and best practices in data visualization.

Write a Summary of Key Tableau Features

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Consolidate your understanding of Tableau's key features by creating a written summary, which can serve as a valuable reference.

Browse courses on Data Visualization Tools

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List and describe the core features of Tableau, including data connectivity, visualization capabilities, and analytical functions.
Identify unique or advanced features that set Tableau apart from other data visualization tools.
Share your summary with others for feedback and discussion.

Create Interactive Dashboards with Mock Data

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Reinforce your understanding of dashboard creation by practicing with mock data sets and experimenting with different visualization techniques.

Browse courses on Interactive Dashboards

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Import mock data into Tableau and create a new dashboard.
Design and build interactive visualizations, including charts, maps, and tables.
Add filters, tooltips, and other interactive elements to enhance user experience.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Mentor a Beginner Tableau User

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Share your Tableau knowledge and gain teaching experience by mentoring a beginner, reinforcing your understanding and fostering a sense of community.

Browse courses on Data Visualization

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Find a beginner Tableau user who is seeking guidance and support.
Provide tailored guidance and feedback on Tableau concepts and techniques.
Collaborate on a small project or visualization to apply their learning.

Explore Advanced Table Calculations in Tableau

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Enhance your understanding of advanced table calculations and their applications in data analysis and exploration.

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Follow online tutorials or documentation on advanced table calculations in Tableau.
Practice creating and applying table calculations to real-world data sets.
Experiment with different calculation types, such as moving averages, year-over-year comparisons, and custom formulas.

Contribute to Open-Source Tableau Projects

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Expand your knowledge and contribute to the Tableau community by volunteering to work on open-source projects, gaining practical experience and connection with experts.

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Identify open-source Tableau projects that align with your interests and skills.
Join the project community and connect with contributors.
Contribute to the project by reporting bugs, suggesting improvements, or writing documentation.

Develop a Data Visualization Solution for a Real-World Problem

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Apply your Tableau skills to a practical problem, strengthening your ability to identify and solve data-driven challenges.

Browse courses on Data Analysis

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Identify a real-world problem or challenge that can be addressed using data visualization.
Gather and prepare the necessary data.
Design and create a comprehensive Tableau visualization that communicates the key insights and findings.
Present your solution to stakeholders or the broader community.

Career center

Learners who complete Tableau Advanced: Master Tableau in Data Science will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts combine their knowledge of programming languages, statistical techniques, and business acumen to clean, manage, analyze, and interpret company data. They help companies make data-driven decisions to improve operations. This Tableau Advanced course can be particularly helpful to Data Analysts as they strive to build a foundation in more advanced statistical techniques, such as Table Calculations. Table Calculations allow for the creation of complex calculations that can be used to analyze data in new and innovative ways.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of mathematics, statistics, and computer science to extract meaningful insights from data. They develop and implement predictive models and algorithms to help businesses make informed decisions. This Tableau Advanced course may be useful for those interested in pursuing a career as a Data Scientist. The course provides a strong foundation in statistical techniques and data mining, which are essential skills for Data Scientists.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use their understanding of business processes and data analysis techniques to improve the efficiency and effectiveness of an organization. They work with stakeholders to identify and solve business problems. This Tableau Advanced course can be helpful for Business Analysts as they strive to build a foundation in data visualization and data mining. The course covers topics such as creating interactive dashboards and performing data mining, which are essential skills for Business Analysts.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to evaluate the financial performance of companies and make investment recommendations. They work with clients to develop and implement financial plans. This Tableau Advanced course may be useful for those interested in pursuing a career as a Financial Analyst. The course provides a strong foundation in data visualization and data mining, which are essential skills for Financial Analysts.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use their knowledge of marketing and data analysis to measure the effectiveness of marketing campaigns and make recommendations for improvement. They work with marketing teams to develop and implement marketing strategies. This Tableau Advanced course can be helpful for Marketing Analysts as they strive to build a foundation in data visualization and data mining. The course covers topics such as creating interactive dashboards and performing data mining, which are essential skills for Marketing Analysts.

See salaries and explore the career path for Marketing Analyst

Operations Research Analyst

Operations Research Analysts use their knowledge of mathematics, statistics, and computer science to solve complex business problems. They develop and implement mathematical models to improve the efficiency and effectiveness of operations. This Tableau Advanced course may be useful for those interested in pursuing a career as an Operations Research Analyst. The course provides a strong foundation in statistical techniques and data mining, which are essential skills for Operations Research Analysts.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics, statistics, and computer science to develop and implement financial models. They work with clients to make investment decisions. This Tableau Advanced course may be useful for those interested in pursuing a career as a Quantitative Analyst. The course provides a strong foundation in data visualization and data mining, which are essential skills for Quantitative Analysts.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk Analysts use their knowledge of risk management and data analysis to identify and mitigate risks to an organization. They work with stakeholders to develop and implement risk management strategies. This Tableau Advanced course may be useful for those interested in pursuing a career as a Risk Analyst. The course provides a strong foundation in data visualization and data mining, which are essential skills for Risk Analysts.

See salaries and explore the career path for Risk Analyst

Statistician

Statisticians use their knowledge of mathematics, statistics, and computer science to collect, analyze, and interpret data. They work with clients to solve problems and make informed decisions. This Tableau Advanced course may be useful for those interested in pursuing a career as a Statistician. The course provides a strong foundation in statistical techniques and data mining, which are essential skills for Statisticians.

See salaries and explore the career path for Statistician

Data Engineer

Data Engineers design, build, and maintain data pipelines. They work with data scientists and other stakeholders to ensure that data is clean, accurate, and accessible. This Tableau Advanced course may be useful for those interested in pursuing a career as a Data Engineer. The course provides a strong foundation in data visualization and data mining, which are essential skills for Data Engineers.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models. They work with data scientists and other stakeholders to build and maintain machine learning systems. This Tableau Advanced course may be useful for those interested in pursuing a career as a Machine Learning Engineer. The course provides a strong foundation in data visualization and data mining, which are essential skills for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with clients and other stakeholders to gather requirements and develop software solutions. This Tableau Advanced course may be useful for those interested in pursuing a career as a Software Engineer. The course provides a strong foundation in data visualization and data mining, which are essential skills for Software Engineers.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design, develop, and maintain websites and web applications. They work with clients and other stakeholders to gather requirements and develop web solutions. This Tableau Advanced course may be useful for those interested in pursuing a career as a Web Developer. The course provides a strong foundation in data visualization and data mining, which are essential skills for Web Developers.

See salaries and explore the career path for Web Developer

Database Administrator

Database Administrators design, implement, and maintain databases. They work with data analysts and other stakeholders to ensure that data is clean, accurate, and accessible. This Tableau Advanced course may be useful for those interested in pursuing a career as a Database Administrator. The course provides a strong foundation in data visualization and data mining, which are essential skills for Database Administrators.

See salaries and explore the career path for Database Administrator

IT Manager

IT Managers plan, implement, and maintain IT systems. They work with other stakeholders to ensure that IT systems meet the needs of the organization. This Tableau Advanced course may be useful for those interested in pursuing a career as an IT Manager. The course provides a strong foundation in data visualization and data mining, which are essential skills for IT Managers.

See salaries and explore the career path for IT Manager