Tableau For Beginners: Master Data Visualization

Unlock the Power of Data Visualization with Tableau - From Beginner to Pro!

What you'll learn

The fundamentals of Tableau and its applications in data visualization.

How to navigate the Tableau interface and configure settings.

Building a variety of basic and advanced visualizations such as bar charts, line charts, scatter plots, maps, heat maps, treemaps, and more.

Creating interactive dashboards with filters and interactivity.

Storytelling with data by creating data narratives and adding annotations.

Sharing and collaboration features in Tableau, including publishing to Tableau Server or Tableau Public.

Exporting and embedding Tableau visualizations in other applications.

Requirements

Computer Skills: Basic computer literacy, including proficiency in operating a computer, navigating the file system, and installing software.

Tableau Software: Students should have access to Tableau software. The course will provide guidance on downloading and installing Tableau Desktop, the main software used throughout the course. A trial version or a licensed copy of Tableau Desktop can be used.

Data Sources: It is helpful to have access to various data sources such as spreadsheets (e.g., Excel) or databases (e.g., SQL). However, sample datasets will be provided throughout the course, so having real data sources is not mandatory.

Description

The Tableau for Beginners: Master Data Visualization course is a comprehensive and detailed program designed to provide individuals with little to no prior experience with Tableau the necessary knowledge and skills to effectively utilize this powerful data visualization and business intelligence tool.Throughout this course, participants will embark on a hands-on learning journey, guided by step-by-step tutorials, practical exercises, and real-world examples. The course begins by introducing students to the Tableau interface, helping them become familiar with its features and functionalities.One of the primary focuses of the course is teaching participants how to connect Tableau to diverse data sources. Students will gain proficiency in importing data from various file formats, including Excel spreadsheets, CSV files, and databases. They will learn how to navigate Tableau's data types and roles, allowing them to properly manipulate and analyze the imported data.The Tableau for Beginners: Master Data Visualization course culminates in a final project, where students can apply their newly acquired skills to a real-world scenario. This project provides an opportunity to showcase the knowledge gained throughout the course and present a polished and insightful data visualization.By the end of the course, participants will have a solid foundation in Tableau and will be proficient in creating visually compelling and informative data visualizations and dashboards. They will possess the confidence and skills necessary to explore and present data effectively, making informed decisions and conveying insights in a clear and impactful manner.

Overview

Section 1: Introduction to Tableau

Lecture 1 Course Overview

Lecture 2 Understanding the Role of Tableau in Data Visualization

Lecture 3 Introduction to Tableau and Installing Tableau

Lecture 4 Understanding the Tableau Interface and Navigation

Section 2: Connecting to Data

Lecture 5 Connecting to Data Sources

Lecture 6 Understanding Tableau Data Types

Lecture 7 Filtering and Sorting Data

Lecture 8 Handling Missing Values

Lecture 9 Combining Data from Multiple Sources

Lecture 10 Joining Data in Tableau

Lecture 11 Blending Data in Tableau

Section 3: Data Manipulation and Analysis

Lecture 12 Tableau Order of Operation

Lecture 13 Creating Calculated Fields and Using Basic Functions

Lecture 14 Creating Calculated Fields and Using Basic Functions 2

Lecture 15 Creating Calculated Fields and Using Basic Functions 3

Lecture 16 Using Hierarchies for Data Organization

Lecture 17 Using Group and Set for Data Organization

Section 4: Building Visualizations

Lecture 18 Exploring Tableau Visual Interface

Lecture 19 Building Basic Charts

Lecture 20 Formatting and Customizing Charts 1

Lecture 21 Formatting and Customizing Charts 2

Lecture 22 Formatting and Customizing Charts 3

Lecture 23 Building Other Charts in Tableau

Lecture 24 Dual Axis Charts and Shared Axis Charts

Lecture 25 Using Analytics Tab in Tableau

Lecture 26 Working with Hierarchies

Lecture 27 Working with Maps

Lecture 28 Working with Maps 2

Lecture 29 Working with Filters

Lecture 30 Context Filter

Lecture 31 Working with Parameters

Lecture 32 Display Multiple Dimensions using a single measure

Lecture 33 Display Multiple measures using a single dimension

Section 5: Dashboards

Lecture 34 Dashboard and It's Components

Lecture 35 Steps to Designing Your Dashboard

Lecture 36 Building Dashboards From Scratch 1

Lecture 37 Building Dashboards From Scratch 2

Lecture 38 Adding Interactivity to Dashboards

Lecture 39 Working With Dashboard Actions Part 1

Lecture 40 Working With Dashboard Actions Part 2

Section 6: Sharing and Collaboration

Lecture 41 Publishing and Sharing Dashboards With Others

Lecture 42 Exporting & Embedding Tableau Visualizations

Lecture 43 Protecting Your Work on Tableau Public

Section 7: Advanced Topics and Tips

Lecture 44 Tableau Tips and Best Practices

Section 8: Final Project and Conclusion

Lecture 45 Final Project Guidelines and Instructions

Lecture 46 Reviewing and Presenting Your Tableau Project

Lecture 47 Course summary and Next Steps

Beginners: Individuals who are new to Tableau and data visualization and want to acquire a solid foundation in using Tableau for creating compelling visualizations and dashboards.,Data Analysts: Data analysts who want to enhance their data visualization skills and leverage Tableau's capabilities to present data in a more impactful and interactive way.,Business Professionals: Business professionals who work with data and want to learn how to analyze and present it effectively using Tableau. This includes professionals from fields such as marketing, finance, operations, and human resources.,Data Enthusiasts: Individuals who have a passion for data and want to explore Tableau as a tool for exploring and visualizing data in a dynamic and engaging manner.,Students and Researchers: Students and researchers who need to analyze and present data as part of their academic or research projects can benefit from learning Tableau to create visually appealing and informative visualizations.,Anyone Seeking Career Advancement: Individuals who want to enhance their job prospects and career advancement opportunities in roles related to data analysis, business intelligence, data visualization, or data-driven decision making.