Tableau 2022 AZ HandsOn Tableau Training for Data Science

Learn Tableau 2022 for data science step by step. Real-life data analytics exercises & quizzes included. Learn by doing!
Tableau 2022 AZ HandsOn Tableau Training for Data Science
File Size :
4.77 GB
Total length :
8h 39m



Kirill Eremenko


Last update

Last updated 11/2022



Tableau 2022 AZ HandsOn Tableau Training for Data Science

What you’ll learn

Install Tableau Desktop 2022
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)

Tableau 2022 AZ HandsOn Tableau Training for Data Science


Basic knowledge of computers


Learn data visualization through Tableau 2022 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 AccordinglyConnect Tableau to a Variety of DatasetsAnalyze, Blend, Join, and Calculate DataVisualize Data in the Form of Various Charts, Plots, and MapsConvert Raw Data Into Compelling Data Visualizations Using Tableau 2022Because 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 OverviewThis 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.


Section 1: It’s super easy to get Started

Lecture 1 Welcome! What is Tableau & Course Overview

Lecture 2 Installation

Lecture 3 Exercise – Get Excited!

Lecture 4 Get the Datasets here

Lecture 5 Extra Resources

Section 2: Tableau Basics: Your First Bar chart

Lecture 6 The Business Challenge – Who Gets the Annual Bonus?

Lecture 7 Connecting Tableau to a Data File – CSV File

Lecture 8 Navigating Tableau

Lecture 9 Creating Calculated Fields

Lecture 10 Adding Colors

Lecture 11 Adding Labels and Formatting

Lecture 12 Exporting Your Worksheet

Lecture 13 Get The Viz

Section 3: Time series, Aggregation, and Filters

Lecture 14 Section Intro

Lecture 15 Working with Data Extracts in Tableau

Lecture 16 Working with Time Series

Lecture 17 Understanding Aggregation, Granularity, and Level of Detail

Lecture 18 Creating an Area Chart & Learning About Highlighting

Lecture 19 Adding a Filter and Quick Filter

Section 4: Maps, Scatterplots, and Your First Dashboard

Lecture 20 Section Intro

Lecture 21 Relationships vs Joins (v. 2020.2 update)

Lecture 22 Joining Data in Tableau

Lecture 23 Creating a Map, Working with Hierarchies

Lecture 24 Creating a Scatter Plot, Applying Filters to Multiple Worksheets

Lecture 25 Let’s Create our First Dashboard!

Lecture 26 Adding an Interactive Action – Filter

Lecture 27 Adding an Interactive Action – Highlighting

Section 5: Joining, Blending and Relationships; PLUS: Dual Axis Charts

Lecture 28 Section Intro

Lecture 29 Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work

Lecture 30 Joins With Duplicate Values

Lecture 31 Joining on Multiple Fields

Lecture 32 The Showdown: Joining Data v.s. Blending Data in Tableau

Lecture 33 Data Blending in Tableau

Lecture 34 Dual Axis Chart

Lecture 35 Creating Calculated Fields in a Blend (Advanced Topic)

Lecture 36 New challenge and dataset!

Lecture 37 The Data Model (v2020.2 update)

Lecture 38 Working with Relationships in Tableau (v2020.2 update)

Lecture 39 Section Recap

Section 6: Table Calculations, Advanced Dashboards, Storytelling

Lecture 40 Section Intro

Lecture 41 Downloading the Dataset and Connecting to Tableau

Lecture 42 Mapping: how to Set Geographical Roles

Lecture 43 Creating Table Calculations for Gender

Lecture 44 Creating Bins and Distributions For Age

Lecture 45 Leveraging the Power of Parameters

Lecture 46 How to Create a Tree Map Chart

Lecture 47 Creating a Customer Segmentation Dashboard

Lecture 48 Advanced Dashboard Interactivity

Lecture 49 Analyzing the Customer Segmentation Dashboard *

Lecture 50 Creating a Storyline

Section 7: Advanced Data Preparation

Lecture 51 Section Intro

Lecture 52 What Format Your Data Should Be In

Lecture 53 Data Interpreter

Lecture 54 Pivot

Lecture 55 Splitting a Column into Multiple Columns

Lecture 56 MetaData Grid

Lecture 57 Fixing Geographical Data Errors in Tableau

Section 8: Clusters, Custom Territories, Design Features

Lecture 58 The Challenge: Startup Expansion Analytics

Lecture 59 Custom Territories Via Groups

Lecture 60 Custom Territories Via Geographic Roles

Lecture 61 Adding a Highlighter

Lecture 62 Clustering In Tableau

Lecture 63 Cross-Database Joins

Lecture 64 Modeling With Clusters

Lecture 65 Saving Your Clusters

Lecture 66 New Mobile Features

Lecture 67 Section Recap

Section 9: What’s new in Tableau

Lecture 68 Section Intro

Lecture 69 Data From PDF Files

Lecture 70 Connecting to PDF

Lecture 71 Connecting to Spatial Files

Lecture 72 Joining to Spatial Files

Lecture 73 Putting it All Together

Lecture 74 Step and Jump Line Chart

Lecture 75 Viz in Tooltip

Section 10: Conclusion

Lecture 76 Course overview and roadmap download

Lecture 77 THANK YOU Video

Lecture 78 EXTRA: Interview With A Graduate Of This Course

Lecture 79 Some Additional Resources!!

Lecture 80 ***YOUR SPECIAL BONUS***

You should take this course if want to learn Tableau completely from scratch,You should take this course if you know some Tableau skills but want to get better,You should take this course if you are good with Tableau and want to take your skills to the next level and truly leverage the full potential of Tableau

Course Information:

Udemy | English | 8h 39m | 4.77 GB
Created by: Kirill Eremenko

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