Tableau A-Z: Hands-On Tableau Training for Data Science
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Tableau A-Z: Hands-On Tableau Training for Data Science

Learn Tableau for data science step by step. Real-life data analytics exercises & quizzes included. Learn by doing!

Created by Kirill Eremenko, SuperDataScience Team, Ligency Team
8.5 hours
Video Content
79
Lectures
408,789
Students
4.6
Rating
4.6
(408,789 students enrolled)

What you'll learn

βœ“Install Tableau Desktop
βœ“Connect Tableau to various Datasets: Excel and CSV files
βœ“Create Barcharts
βœ“Create Area Charts
βœ“Create Maps
βœ“Create Scatterplots
βœ“Create Piecharts
βœ“Create Treemaps
βœ“Create Interactive Dashboards
βœ“Create Storylines
βœ“Understand Types of Joins and how they work
βœ“Work with Data Blending in Tableau
βœ“Create Table Calculations
βœ“Work with Parameters
βœ“Create Dual Axis Charts
βœ“Create Calculated Fields
βœ“Create Calculated Fields in a Blend
βœ“Export Results from Tableau into Powerpoint, Word, and other software
βœ“Work with Timeseries Data (two methods)
βœ“Creating Data Extracts in Tableau
βœ“Understand Aggregation, Granularity, and Level of Detail
βœ“Adding Filters and Quick Filters
βœ“Create Data Hierarchies
βœ“Adding Actions to Dashboards (filters & highlighting)
βœ“Assigning Geographical Roles to Data Elements
βœ“Advanced Data Preparation (including latest updates in Tableau)

Course Content

11 sections β€’ 79 lectures β€’ 08:34:59 total length

It's super easy to get Started

5 lectures β€’ 15:45

Welcome! What is Tableau & Course Overview06:21
Installation04:06
Get the Datasets here00:05
Exercise - Get Excited!05:03
Prizes $$ for Learning00:10

Tableau Basics: Your First Bar chart

8 lectures β€’ 51:01

The Business Challenge - Who Gets the Annual Reward?03:38
Connecting Tableau to a Data File - CSV File06:05
Navigating Tableau08:53
Creating Calculated Fields06:08
Adding Colors07:46
+4 more lectures

Time series, Aggregation, and Filters

6 lectures β€’ 46:24

Section Intro02:15
Working with Data Extracts in Tableau08:06
Working with Time Series09:41
Understanding Aggregation, Granularity, and Level of Detail09:28
Creating an Area Chart & Learning About Highlighting08:53
+2 more lectures

Maps, Scatterplots, and Your First Dashboard

8 lectures β€’ 01:01:02

Section Intro01:14
Relationships vs Joins02:53
Joining Data in Tableau10:00
Creating a Map, Working with Hierarchies11:08
Creating a Scatter Plot, Applying Filters to Multiple Worksheets10:23
+4 more lectures

Joining, Blending and Relationships; PLUS: Dual Axis Charts

12 lectures β€’ 01:41:16

Section Intro04:25
Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work06:21
Joins With Duplicate Values02:35
Joining on Multiple Fields05:26
The Showdown: Joining Data v.s. Blending Data in Tableau10:48
+8 more lectures

Table Calculations, Advanced Dashboards, Storytelling

11 lectures β€’ 01:06:46

Section Intro00:56
Downloading the Dataset and Connecting to Tableau03:52
Mapping: how to Set Geographical Roles06:28
Creating Table Calculations for Gender05:00
Creating Bins and Distributions For Age06:29
+7 more lectures

Advanced Data Preparation

7 lectures β€’ 37:58

Section Intro02:09
What Format Your Data Should Be In05:11
Data Interpreter11:26
Pivot02:37
Splitting a Column into Multiple Columns03:11
+3 more lectures

Clusters, Custom Territories, Design Features

10 lectures β€’ 01:07:50

The Challenge: Startup Expansion Analytics08:06
Custom Territories Via Groups09:15
Custom Territories Via Geographic Roles04:31
Adding a Highlighter05:46
Clustering In Tableau07:08
+6 more lectures

Tableau Toolkit

8 lectures β€’ 54:38

Section Intro02:45
Data From PDF Files04:14
Connecting to PDF09:26
Connecting to Spatial Files07:02
Joining to Spatial Files09:06
+3 more lectures

Conclusion

2 lectures β€’ 11:31

Course overview and roadmap download08:51
THANK YOU Video02:40

Congratulations!! Don't forget your Prize :)

2 lectures β€’ 00:47

Find Your Career Path!00:02
Bonus Lecture00:44

Description

Learn data visualization through TableauΒ  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.

Who this course is for:

  • 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

This course includes:

  • 8.5 hours on-demand video
  • 4 articles
  • 0
  • Access on mobile and TV
  • ∞Full lifetime access
  • Certificate of completion

Instructors

Kirill Eremenko

SuperDataScience Team

Ligency Team

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