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Tableau Course - Basics to Advanced

person icon Rahul Tiwari

4.4

Tableau Course - Basics to Advanced

Learn Tableau Desktop, Tableau Prep and Tableau Online with real time case studies. Get Tableau certified with ease

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Rahul Tiwari

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -54

Resources -17

Quizzes -15

Duration -22 hours

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4.4

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Course Description

Learn data visualization through Tableau 2024.3 and create opportunities for you or key decision-makers to discover data patterns such as customer purchase behaviour, sales trends, production bottlenecks, comparative sales, and many more.

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 and data sources.

  • Analyze, Blend, Join, and Calculate Data, Cross-database joins.

  • Visualize Data in the Form of Various Charts, Plots, and Maps.

  • Convert Raw Data Into Compelling Data Visualizations Using Tableau 2024.3.

  • Detailed understanding of Level of detail (LOD) with 15 practical examples.

  • A clear understanding of Table calculations with 10 business examples.

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 time series.

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.

By completing this course, you'll be a highly proficient Tableau user. You will be using your skills as a data scientist to extract data knowledge so you can easily analyze and visualize complex questions.

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.

Last but not least, you will be able to clear Tableau Specialist and Tableau Certified Associate certifications as well. 

Who should take this course?

  • 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.

Goals

  • How to install Tableau Desktop and Prep.

  • Create various different basic charts.

  • Create advanced dashboards.

  • Detailed understanding of the Level of detail and 15 practical examples.

  • Detailed understanding of Table calculations with 10 practical examples.

  • Usage of sets and parameters.

  • Advanced data preparation.

  • Detailed understanding of time series.

  • Aggregation and Granularity.

  • Tableau online in detail.

  • Various amazing dashboard features.

  • How to connect to the database.

  • Detailed understanding of data blending, cross-database joins and data joining.

  • Get ready for Tableau certifications.

Prerequisites

  • Basic knowledge of computers.

Tableau Course - Basics to Advanced

Curriculum

Check out the detailed breakdown of what’s inside the course

Tableau An Introduction

1 Lectures
  • play icon Tableau - An Introduction 38:33 38:33

Tableau - Business Case 1 (Calculated Field and Functions (Left, if else))

2 Lectures
Tutorialspoint

Tableau - Business Case 2 (Extract vs Live and Union)

2 Lectures
Tutorialspoint

Tableau - Business Case 3 (Data from heterogeneous source - Crossdatabasejoin)

2 Lectures
Tutorialspoint

Tableau - Business Case 4 (Data Blending)

2 Lectures
Tutorialspoint

Tableau - Business Case 5 (Bins and Parameters)

5 Lectures
Tutorialspoint

Tableau - Business Case 6 (Filters, Aggregation, Granularity and Date Dimension)

2 Lectures
Tutorialspoint

Tableau - Business Case 7 (Sets and Parameters)

4 Lectures
Tutorialspoint

Tableau - Business Case 8 (Animations in Tableau)

4 Lectures
Tutorialspoint

Tableau - Level of Details

5 Lectures
Tutorialspoint

Tableau - Table Calculations

6 Lectures
Tutorialspoint

Tableau - Background Image

3 Lectures
Tutorialspoint

Misc Topics

5 Lectures
Tutorialspoint

Custom Charts in Tableau

3 Lectures
Tutorialspoint

Tableau Dashboard Techniques

5 Lectures
Tutorialspoint

Tableau Online

3 Lectures
Tutorialspoint

Instructor Details

Rahul Tiwari

Rahul Tiwari

I train and give consultation to organizations and individuals on Business Analytics, Data Science, and Machine Learning. For 14 years I have been helping Professionals and organizations in various domains like retail, telecom, life sciences, finance, etc. in solving their business problems using Data Science, Business Analytics, and Machine Learning.


After starting my career 14 years back in Data Warehousing I moved onto the Data Science domain and held various roles. Mostly working with CTOs, Key IT decision-makers, and Professionals, I have always focused on building capacity, knowledge, and solutions in Data Science, Business Analytics, and Machine Learning.

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Feedbacks

P

Pulkit Varshney

ghy

S

Somak Banerjee

I really liked this course. It is designed in such a way that different business problems were solved which I feel was the best way to learn Tableau.

D

Dhruval Dalwadi

this instructor is good !

V

Vijayakumar Gopi

Nice course

A

Azhar Metkari

good

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