The Complete Tableau Bootcamp for Data Scientists
Learn Tableau for Data Science from scratch, create rich visualization and share with others
Development ,Data Science,Data Analysis
Lectures -83
Resources -29
Duration -8 hours
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Course Description
All tutorials are on the latest Tableau version. Included advanced topics as well like Relationships, Level of detail (LOD) expressions, Parameters, Sets, Trend Lines, etc. Included exciting features/Viz like emoji chart, playing YouTube video in a dashboard, animations, viz in tooltips, etc.
This course is designed because you are an absolute beginner, and I will teach you even the most basic concepts in Tableau from scratch so that after completing this course you will be able to create rich visualizations easily and confidently.
What all the technical skills you will learn in this course:
Initial Setup
Software Installation (Tableau Desktop Public Edition, Tableau Desktop Professional Edition, Tableau Reader).
Creation of Tableau Public profile.
Understand the different Tableau Products.
Software Walkthrough (Tableau Desktop Public Edition, Tableau Desktop Professional Edition).
Publish the viz to Tableau Public.
Download the files from Tableau Public.
Extract the data source files from the published visualization in Tableau Public.
Tableau Core Concepts
Connect to a Data Source.
Data Types.
Update the data types.
Dimensions & Measures.
Aggregation & Granularity.
Discrete & Continuous fields.
Discrete data parts & Continuous date values.
Calculated Fields.
Logical expressions.
Ratio Calculations.
Create Live & Extract Connections.
Difference between Live & Extract Connections.
Difference between twbx & twb file types.
Tableau Fundamentals
Computed and Manual Sorting.
Dimension & Measure filters.
Date filters.
Context filters.
Organize data in Hierarchies.
Reference & Trend Lines.
Groups & Visual Groups.
Sets.
Parameters.
Add custom shapes in Tableau.
Animations.
Add Visualization in Tooltip.
Custom Dates.
Table Calculations - Introduction.
Table Calculations - Scope & Direction.
Level of Details - Fixed, Include, Exclude.
Chart Types
Bar Chart.
Line Chart.
Stacked Bar Chart.
Symbol Maps.
Filled Maps.
Scatter Plot.
Cross Tabs.
Highlight Tables.
Heat Maps.
Histogram.
Pie Chart.
Word Cloud.
Packed Bubbles.
Tree Maps.
Dual Axis.
Lollipop Chart.
Dashboard and Stories
Dashboard Introduction.
Add Actions for interactivity.
Dashboard Objects.
Navigation between dashboards.
Embed YouTube URL in dashboards.
Use Google with Tableau.
Create a story.
Format a story.
Storyboards vs dashboards.
Data Preparation
Tableau's New Data Model.
Relationships.
Joins.
Cross-database joins.
Blends.
Unions.
When to use - Relationships, Blends, Joins.
Who this course is for?
- Anyone who wants to learn Tableau from scratch.
- Already working on Tableau but want to learn concepts in a better way.
Goals
See the course description for all the technical topics we are covering in this course.
Learn Tableau for Data Science step-by-step, 100% practical course.
Prerequisites
Willingness to learn.
No prior experience in Tableau is required.

Curriculum
Check out the detailed breakdown of what’s inside the course
Getting started with Tableau
7 Lectures
-
Promo 01:45 01:45
-
What will be covered 03:10 03:10
-
How to approach this course & Udemy Review 01:33 01:33
-
Tableau Introduction 03:55 03:55
-
Different Tableau Products 07:20 07:20
-
Software Walkthrough (Tableau Desktop Public Edition) 08:09 08:09
-
Software Installation 04:05 04:05
Tableau Desktop Professional Edition
4 Lectures

Tableau Core Concepts
8 Lectures

Chart Types
15 Lectures

More Chart Types
12 Lectures

Dashboard and Stories
14 Lectures

Understand Table Calculations
6 Lectures

Level Of Details
8 Lectures

Data Preparation (Introducing Relationships)
9 Lectures

Instructor Details

Vivek P
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