Tableau Tutorial for Beginners

Tableau Tutorial for Beginners, available at $49.99, has an average rating of 4, with 40 lectures, based on 9 reviews, and has 860 subscribers.

You will learn about How to get started with Tableau The different types of Tableau products and how to use them How to download and install Tableau Desktop How to import and extract data in Tableau The basics of the Tableau interface and how to build custom visualizations Advanced Tableau techniques like creating dual axis charts, hierarchies, groups, and parameters How to create and use sets, work with calculations, and publish and share reports in Tableau How to create various types of charts and maps in Tableau, including pie charts, scatter plots, packed bubble charts, and filled maps How to create animated data visualizations and apply conditional formatting in Tableau How to use Tableau for data science, including cluster analysis and linear regression modeling using the Iris dataset This course is ideal for individuals who are Data analysts, data scientists, or business intelligence professionals who want to learn how to use Tableau or Anyone interested in creating interactive and visually appealing data visualizations or Students or professionals who want to learn how to use Tableau for data science and machine learning applications It is particularly useful for Data analysts, data scientists, or business intelligence professionals who want to learn how to use Tableau or Anyone interested in creating interactive and visually appealing data visualizations or Students or professionals who want to learn how to use Tableau for data science and machine learning applications.

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Summary

Title: Tableau Tutorial for Beginners

Price: $49.99

Average Rating: 4

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

How to get started with Tableau

The different types of Tableau products and how to use them

How to download and install Tableau Desktop

How to import and extract data in Tableau

The basics of the Tableau interface and how to build custom visualizations

Advanced Tableau techniques like creating dual axis charts, hierarchies, groups, and parameters

How to create and use sets, work with calculations, and publish and share reports in Tableau

How to create various types of charts and maps in Tableau, including pie charts, scatter plots, packed bubble charts, and filled maps

How to create animated data visualizations and apply conditional formatting in Tableau

How to use Tableau for data science, including cluster analysis and linear regression modeling using the Iris dataset

Who Should Attend

Data analysts, data scientists, or business intelligence professionals who want to learn how to use Tableau

Anyone interested in creating interactive and visually appealing data visualizations

Students or professionals who want to learn how to use Tableau for data science and machine learning applications

Target Audiences

Data analysts, data scientists, or business intelligence professionals who want to learn how to use Tableau

Anyone interested in creating interactive and visually appealing data visualizations

Students or professionals who want to learn how to use Tableau for data science and machine learning applications

Welcome to “Tableau Tutorial for Beginners”! In this course, you will learn everything you need to know to get started with Tableau.

We will begin by introducing you to the different types of Tableau products and how they can be used. You will then learn how to download and install Tableau Desktop, and how to import data into the software.

Next, we will cover the basics of the Tableau interface, and show you how to build custom visualizations. We will also delve into advanced topics like creating dual axis charts, hierarchies, groups, and parameters.

You will learn how to create and use sets, as well as how to work with calculations in Tableau. We will also teach you how to publish and share your reports (dashboards) with others.

In addition, we will show you how to create various types of charts and maps in Tableau, such as pie charts, scatter plots, packed bubble charts, and filled maps. We will also teach you how to create animated data visualizations and apply conditional formatting to your data.

Finally, we will demonstrate how to use Tableau for data science by walking you through a cluster analysis and linear regression model using the Iris dataset.

By the end of this course, you will have a solid foundation in Tableau and be able to confidently create powerful and interactive data visualizations.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction – Getting Started with Tableau

Lecture 2: Tableau Products | Types of Tableau Products

Lecture 3: Tableau Working and Usage

Lecture 4: How to Download and Install Tableau Desktop

Lecture 5: Importing Data in Tableau

Lecture 6: Undestanding Data Source in Tableau.

Lecture 7: How to extract Data from Data source in Tableau

Lecture 8: Understanding Tableau Interface

Lecture 9: Building Custom Visualizations in Tableau

Lecture 10: Format at the Worksheet Level

Lecture 11: How to Create Dual Axis Charts in Tableau

Lecture 12: Working with inbuilt hierarchies and multiple axis in Tableau

Lecture 13: Creating a Custom Hierarchy

Lecture 14: Hierarchies in Tableau

Lecture 15: Groups in Tableau : Create Groups

Lecture 16: How to Create and Use Parameters in Tableau.

Lecture 17: What are Sets in Tableau and How to Create sets in Tableau

Lecture 18: Get Started with Calculations in Tableau

Lecture 19: Calculated Field in Tableau

Lecture 20: Publishing and Sharing Reports (Dashboards) in Tableau

Lecture 21: Working with Pie Chart in Tableau

Lecture 22: Scatter Chart and Histogram

Lecture 23: Packed Bubbles and Gantt Chart

Lecture 24: TreeMap and WordMap in Tableau

Lecture 25: Working with Maps and Filled Maps

Lecture 26: Tableau Tutorial for Beginners

Lecture 27: Working with Map Groups in Tableau

Lecture 28: Tableau Tutorial for Beginners

Lecture 29: Importing multiple tables in Tableau

Lecture 30: Reference Lines in Charts

Lecture 31: Reference Boxes and Distribution Points

Lecture 32: Donut and Multiple Shape Charts

Lecture 33: Animations in Charts

Lecture 34: Conditional Formatting in Tableau

Lecture 35: Conditional Formatting with Viz

Lecture 36: Dashboard Creation in Tableau

Lecture 37: Iris Dataset Clustering Analysis

Lecture 38: Data Science with Tableau Iris Data

Lecture 39: Completing the Analysis on Iris Data

Lecture 40: Linear Regression Analysis

Instructors

Programming Knowledge
ProgrammingKnowledge

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5 stars: 3 votes

Frequently Asked Questions

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