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Kirill Eremenko,
SuperDataScience Team,
and
Ligency Team
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:
Read more
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:
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/a5xqhu/tableau
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
- Show more
- Show less
- 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
Read more
Syllabus
Introduction
Welcome Challenge!
Welcome to the Tableau Advanced course
Get the Datasets here
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause 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
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
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Reviews summary
Deep dive into advanced tableau techniques
According to learners, this course offers a highly comprehensive and practical deep dive into advanced Tableau features. Students particularly appreciate the project-based approach, finding the real-life case studies and engaging exercises extremely helpful for applying complex concepts like Table Calculations, LODs, Sets, and Parameters. Many highlight the instructor's ability to explain challenging topics clearly, making the material accessible despite its advanced nature. While a few felt the course might require a solid intermediate foundation rather than being strictly 'advanced' for experienced users, the overwhelming sentiment is that it provides immense value and significantly enhances skills for those working with data. The course is seen as a solid investment for anyone looking to master advanced Tableau capabilities for professional data analysis.
Best suited for those with some prior knowledge.
"While titled 'Advanced', I felt it was more suited for intermediate users looking to step up."
"You definitely need a solid understanding of basic Tableau before taking this."
"Not for absolute beginners, but perfect if you know the fundamentals and want to go deeper."
"Some sections might be challenging without prior experience in calculated fields."
Significantly improves Tableau proficiency.
"This course significantly boosted my confidence and skills in Tableau."
"I can now create much more complex and insightful visualizations."
"A great investment if you want to take your Tableau skills to the next level for your career."
"Provided the advanced tools needed for more sophisticated data analysis at work."
Instructor explains complex ideas well.
"The instructor is fantastic at breaking down complex topics into understandable chunks."
"Great explanations, especially for the more challenging parts like nested table calculations."
"His teaching style is engaging and easy to follow."
"The step-by-step approach in the videos was very helpful."
Detailed lessons on Table Calcs, LODs, Sets, etc.
"Mastering Table Calculations and LODs was my main goal, and this course delivered."
"The sections on Groups, Sets, and Parameters were very clear and immediately applicable."
"I finally understood the nuances of Table Calculations after this course."
"Comprehensive coverage of advanced topics like LODs and blending."
Learn by doing with real-world projects.
"The best way to learn Tableau is by doing. This course is perfect for that using real-life cases."
"The project-based approach is incredibly effective. Applying concepts to real datasets solidified my understanding."
"I really appreciated the focus on practical application rather than just theory."
"The exercises are well-designed and closely mirror challenges faced in the industry."
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
Show steps
Refresh your understanding of data visualization principles and techniques to prepare for advanced concepts in this course.
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Reinforce your understanding of dashboard creation by practicing with mock data sets and experimenting with different visualization techniques.
Browse courses on
Interactive Dashboards
Show steps
-
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
Show steps
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
Show steps
-
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
Show steps
Enhance your understanding of advanced table calculations and their applications in data analysis and exploration.
Show steps
-
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
Show steps
Expand your knowledge and contribute to the Tableau community by volunteering to work on open-source projects, gaining practical experience and connection with experts.
Show steps
-
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
Show steps
Apply your Tableau skills to a practical problem, strengthening your ability to identify and solve data-driven challenges.
Browse courses on
Data Analysis
Show steps
-
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.
Review Data Visualization Fundamentals
Show steps
Refresh your understanding of data visualization principles and techniques to prepare for advanced concepts in this course.
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Reinforce your understanding of dashboard creation by practicing with mock data sets and experimenting with different visualization techniques.
Browse courses on
Interactive Dashboards
Show steps
Show steps
Show steps
- 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
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Enhance your understanding of advanced table calculations and their applications in data analysis and exploration.
Show steps
Show steps
Show steps
- 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
Show steps
Expand your knowledge and contribute to the Tableau community by volunteering to work on open-source projects, gaining practical experience and connection with experts.
Show steps
Show steps
Show steps
- 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
Show steps
Apply your Tableau skills to a practical problem, strengthening your ability to identify and solve data-driven challenges.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- 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 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.
Data Scientist
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.
Business Analyst
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.
Financial 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.
Marketing 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.
Operations Research 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.
Quantitative 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.
Risk 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.
Statistician
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.
Data Engineer
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.
Machine Learning 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.
Software 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.
Web Developer
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.
Database Administrator
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.
IT Manager
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.
For more career information including salaries, visit:
OpenCourser.com/course/a5xqhu/tableau
Reading list
We've selected 11 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 Advanced: Master Tableau in Data Science.
Provides a practical guide to data visualization and storytelling. It would be a valuable resource for students who want to learn how to communicate their data insights effectively, or for professionals who need a reference guide.
Provides a comprehensive overview of data science, with a focus on the design and implementation of data science projects. It would be a valuable resource for students who want to learn more about data science, or for professionals who need a reference guide.
Provides a comprehensive overview of data science, with a focus on using Tableau for data visualization and analysis. It would be a good choice for students who want to learn more about data science, or for professionals who need a reference guide.
Provides a comprehensive overview of causal inference in statistics. It would be a valuable resource for students who want to learn more about causal inference, or for professionals who need a reference guide.
Save
Provides a comprehensive overview of econometrics. It would be a valuable resource for students who want to learn more about econometrics, or for professionals who need a reference guide.
Provides a comprehensive overview of statistical learning. It would be a valuable resource for students who want to learn more about statistical learning, or for professionals who need a reference guide.
Provides a comprehensive overview of deep learning with Python. It would be a valuable resource for students who want to learn more about deep learning, or for professionals who need a reference guide.
Provides a comprehensive overview of natural language processing with Python. It would be a valuable resource for students who want to learn more about natural language processing, or for professionals who need a reference guide.
Provides a comprehensive overview of Python for data analysis. It would be a valuable resource for students who want to learn more about Python, or for professionals who need a reference guide.
Provides a comprehensive overview of machine learning with R. It would be a valuable resource for students who want to learn more about machine learning, or for professionals who need a reference guide.
Save
Provides a comprehensive overview of R for data science. It would be a valuable resource for students who want to learn more about R, or for professionals who need a reference guide.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a5xqhu/tableau
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