Tableau Tutorial for Beginners | Tableau Full Course

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This course will teach you everything you need to know to create stunning data visualizations in Tableau using sets, groups, and combine sheets to build dashboards! 💻Content💻 00:00:01 1 - Getting Started with Tableau 00:10:01 2 - Tableau Products | Types of Tableau Products 00:20:02 3 - Tableau Working and Usage 00:30:05 4 - How to Download and Install Tableau Desktop 00:39:59 5 - Importing Data in Tableau 00:50:02 6 - Understanding Data Source in Tableau 01:00:15 7 - How to Extract Data from Data Source in Tableau 01:10:25 8 - Understanding Tableau Interface 01:20:30 9 - Building Custom Visualizations in Tableau 01:30:27 10 - Format at the Worksheet Level 01:40:30 11 - How to Create Dual Axis Charts in Tableau 01:50:32 12 - Hierarchies in Tableau 02:00:35 13 - Creating a custom hierarchy 02:10:51 14 - Hierarchies in Tableau 02:20:54 15 - Groups in Tableau: Create Groups 02:31:04 16 - How to Create and Use Parameters in Tableau 02:40:57 17 - What are Sets in Tableau And How To Create Sets in Tableau 02:50:56 18 - work with the sets and data combinations in Tableau 03:01:04 19 - Get Started with Calculations in Tableau 03:11:13 20 - Publishing and Sharing Reports (Dashboards) in Tableau 03:21:07 21 - How to Create Pie Chart in Tableau 03:31:09 22 - Creating Scatter Plots in Tableau 03:41:10 23 - How to Build a Packed Bubble Chart in Tableau 03:51:03 24 - How to Make a Tree Map in Tableau 04:01:13 25 - How to Make a Filled Map in Tableau 04:11:29 26 - How to Make a Custom Map in Tableau 04:21:41 27 - Working with Map Groups in Tableau 04:31:22 28 - How to Make Funnel Charts 04:40:45 29 - How to use Multiple Tables in Tableau 04:50:38 30 - Create a Reference Line in Tableau 05:00:36 31 - Create a Reference Distribution in Tableau 05:10:35 32 - How To Create a Donut Chart in Tableau 05:20:44 33 - Create Animated Data Visualizations in Tableau 05:30:56 34 - How to Conditionally Format Table Columns 05:40:54 35 - Conditional Formatting on Visual Charts 05:50:44 36 - Dashboard Creation in Tableau 06:00:45 37 - Iris Dataset Clustering Analysis| Cluster Analysis using Tableau 06:10:24 38 - Data Science with Tableau Iris Dataset 06:20:09 39 - Completing the Analysis on Iris Dataset 06:29:34 40 - How To create Linear Regression Model in Tableau What exactly is Tableau? Tableau resolves all of the aforementioned issues! The beauty of Tableau is its intuitive nature, which makes it simple to learn. When first starting out, it's mostly drag-and-drop visualisations. What would normally take me hours/days in Excel can now be completed in a matter of minutes in Tableau. Another advantage is that you don't need any programming or data experience, as I did a few years ago! In fact, there is no programming required, which is why this tool is so appealing to beginners like you!!! Here you will find a "Tableau Tutorial for Beginners." You will learn everything you require to begin using Tableau in this course. We'll start by describing the many categories of Tableau products and their potential applications. After that, you'll discover how to download and set up Tableau Desktop and import data into the program. Following that, we'll go over the fundamentals of the Tableau interface and demonstrate how to create unique representations. In-depth discussions on complex subjects such generating dual axis charts, hierarchies, groupings, and parameters will also be covered. You'll discover how to use sets in Tableau and how to work with calculations. Additionally, we'll show you how to distribute and publish your reports. Additionally, we'll demonstrate how to make a variety of charts and maps in Tableau, including filled maps, packed bubble charts, scatter plots, and pie charts. Additionally, we'll show you how to arrange your data with conditional formatting and produce animated data visualizations. Finally, we'll walk you through a cluster analysis and linear regression model using the Iris dataset to show you how to use Tableau for data science. You will have a strong understanding of Tableau by the end of the course and be competent to produce dynamic, interactive data visualizations.