MBA Courses on Udemy

Tableau 2022 A-Z: Hands-on Tableau Training for Data Science is one of the best-selling Udemy courses on Tableau. This course will help the students to gain knowledge of data visualization with Tableau and will give the students or decision-makers the chance to see data patterns like customer purchasing habits, sales trends, or manufacturing bottlenecks. Students will become familiar with all of Tableau’s capabilities that make it simple, quick, and beautiful to explore, experiment with, correct, prepare, and present data.

Each segment of this course offers a fresh data set and challenging exercises so you may learn instantly about putting it into practice. Students will learn how to use the software, link it to a data file, and export a worksheet, so even new users won’t have any trouble. Students will also discuss how to utilize aggregations to summarise data so that it is easier to understand. Currently, Udemy is offering Tableau 2022 A-Z: Hands-on Tableau Training for Data Science Course course for up to 87 % off i.e. INR 449 (INR 3,499).

Who all can opt for this course?

  • If you want to study Tableau totally from scratch, you should enroll in this course
  • If you already have some knowledge of Tableau but wish to improve, you should enroll in this course
  • If you are proficient with Tableau and want to advance your knowledge and fully utilize Tableau’s capabilities, you should enroll in this course

Course Highlights

Key HighlightsDetails
Registration LinkApply Now!
PriceINR 449 (INR 3,49987 % off
Duration08 Hours
Student Enrollment325,763 students
InstructorKirill Eremenko
Topics CoveredConnecting Tableau to a Data File – CSV File, Adding Labels and Formatting, Joining Data in Tableau
Course LevelBeginner
Total Student Reviews85,590

Learning Outcomes

  • Place Tableau Desktop 2022 in place
  • Connect Tableau to other datasets, including CSV and Excel files
  • Publish bar charts
  • Make maps of the area
  • Build maps
  • Construct scatterplots
  • Construct pie charts
  • Build treemaps
  • Establish interactive dashboards
  • Establish storylines
  • Know the various types of joins and how they function
  • Work with Tableau’s Data Blending feature
  • Make calculations in tables
  • Utilize parameters
  • Dual-axis charts should be made
  • Construct Calculated Fields
  • In a Blend, create calculated fields
  • Tableau results can be exported to Word, PowerPoint, and other programs
  • Employ Timeseries Data (two methods)
  • Making Tableau Data Extracts
  • Recognize the level of detail, granularity, and aggregate
  • Including Quick Filters and Filters
  • Organize data using hierarchies
  • Making Dashboard Actions (filters & highlighting)
  • Giving Data Elements Geographical Roles Higher Level Data Preparation (including latest updates in Tableau)

Course Content

S.No.Module (Duration)Topics
1.It’s super easy to get Started (17 minutes)Welcome! What is Tableau & Course Overview
Exercise – Get Excited!
Get the Datasets here
Extra Resources
2.Tableau Basics: Your First Bar chart (51 minutes)The Business Challenge – Who Gets the Annual Bonus?
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
3.Time series, Aggregation, and Filters (47 minutes)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
4.Maps, Scatterplots, and Your First Dashboard (01 hour 01 minute)Section Intro
Relationships vs Joins (v. 2020.2 updates)
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
Maps, Scatterplots, and Your First Dashboard
5.Joining, Blending, and Relationships; PLUS: Dual Axis Charts (01 hour 41 minutes)Section Intro
Understanding how LEFT, RIGHT, INNER, and OUTER Join Work
Joins With Duplicate Values
Joining 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
6.Table Calculations, Advanced Dashboards, Storytelling (01 hour 06 minutes)Section Intro
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
Table Calculations, Advanced Dashboards, Storytelling
7.Advanced-Data Preparation (37 minutes)Section Intro
What Format Your Data Should Be In
Data Interpreter
Splitting a Column into Multiple Columns
MetaData Grid
Fixing Geographical Data Errors in Tableau
Advanced-Data Preparation
8.Clusters, Custom Territories, Design Features (01 hour 07 minutes)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
Section Recap
9.What’s new in Tableau (54 minutes)Section Intro
Data From PDF Files
Connecting to PDF
Connecting to Spatial Files
Joining Spatial Files
Putting it All Together
Step and Jump Line Chart
Viz in Tooltip
10.Conclusion (14 minutes)Course overview and roadmap download
EXTRA: Interview With A Graduate Of This Course
Some Additional Resources!!

Resources Required

  • Basic familiarity with computers

Featured Review

Malgorzata Turecka (3/5): This course is a perfect example of why I wait till the end to give a review. It started off perfectly, was easy to follow along with, was fun, and had clear instructions. Further down the road, the instructor rushed, I get that to the instructor whatever he does may be intuitive, but to me, this is new stuff, it is Tableau from scratch after all. I had to pause, and rewind countless times to make sure my screen matches the instructor’s screen. The instructor often clicks on things without explaining what he’s doing, which is extremely frustrating and time-consuming. Section 9 is a joke, I was planning on signing up for the advanced course, but just imagining what the speed might be there, I’ll pass. Overall, I enjoyed all the new info, but for the future please bear in mind that since this is a course from scratch, it’s safe to assume that we are all new here, and need clearer instructions on what we are clicking on, and for what reason, instead of us pausing, rewinding, trying to figure out what you are trying to show us. Thanks, and happy analyzing!


  • Ferhan Ali (5/5): One of the best Tableau courses with a lot of topics.
  • Patrick David (5/5): His knowledge of data and Tableau is impressive and he is wonderful at sharing it in a way that a beginner like myself can grasp.
  • Ankur Dingankar (5/5): Just the perfect course you need to up your skills in the world of Data Visualization & Analytics with Tableau 2020.
  • Gopikrishnan V (5/5): thank you Udemy and the super data science team for this wonderful course.


  • Goutham Srichandhru (2/5): This was a mistake and I would not recommend it, I’m sorry!
  • Weiting Wang (2/5): I found it difficult to follow along, kinda here and there without an in-depth explanation.
  • Luis Rivera (2/5): Hate leaving negative reviews but this training feels poorly thrown together.
  • Gabe Paterson (1/5): Trying to follow along when the buttons or actions have moved is frustrating, and you must google the answers.

About the Author

The instructor of this course is Kirill Eremenko who is a Data Scientist. With a 4.5 instructor rating and 599,095 reviews on Udemy, he offers 59 courses and has taught 2,251,523 students so far.

  • Professionally, Kirill Eremenko is a data science consultant with experience in the retail, transportation, retail, and financial sectors
  • At Deloitte Australia, Kirill Eremenko received training from the top analytics mentors, and since he started teaching on Udemy, he has shared his experience with thousands of aspiring data scientists
  • Students will quickly see from his courses how he gives skilled step-by-step tutoring in the field of data science by fusing his real-world expertise and academic background in physics and mathematics

Comparison Table

ParametersTableau 2022 A-Z: Hands-On Tableau Training for Data ScienceData Science A-Z™: Real-Life Data Science Exercises IncludedTableau 2022 Advanced: Master Tableau in Data Science
OffersINR 449 (INR 3,499) 87% offINR 449 (INR 3,499) 87% offINR 449 (INR 3,499) 87% off
Duration8.5 hours21 hours10 hours
Rating4.6 /54.5 /54.6 /5
Student Enrollments325,763208,25691,666
InstructorsKirill EremenkoKirill EremenkoKirill Eremenko
Register HereApply Now!Apply Now!Apply Now!

Tableau 2022 A-Z: Hands-on Tableau Training for Data Science: FAQs

Ques. Can a beginner learn Tableau?

Ans: To learn Tableau, you don’t need any technical expertise. You will gain a thorough understanding of this leading business intelligence and Tableau data visualization tool in this Tableau dashboard training. You may use Tableau to respond to any business query as long as the necessary data is available.

Ques. Do data scientists need to learn Tableau?

Ans: Before building the model, a Data Scientist has to be able to immediately see the data they are working with. Tableau makes this possible. A useful tool for compiling success measures is Tableau.

Ques. Can I learn Tableau without coding?

Ans: According to reports, Tableau is one of the business intelligence and data visualization tools that is rapidly expanding. It can be quickly deployed, is simple to use once learned, and doesn’t require any coding or technical expertise beyond the fundamentals of using tools.

Ques. Is learning Tableau tough?

Ans: Even though most people think about Tableau as a reasonably simple program to learn, there are some difficult parts of learning: Those without experience working with data may find it challenging to comprehend how it functions.

Ques. Can I learn Tableau in 10 days?

Ans: The amount of time it takes to learn Tableau relies on a variety of factors and might differ from person to person. But according to experts, it often takes someone between two and six months to fully comprehend how to use this data visualization tool.

Ques. What prerequisites or skills do data scientists need?

Ans: Programming abilities (SAS, R, Python), storytelling and data visualization, statistical and mathematical understanding, as well as expertise with Hadoop, SQL, and machine learning, are required for data scientists.

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