Data Visualization with Tableau

Tableau is a renowned data visualization and BI tool that enhances your skills in visualizing and analyzing data. Taking a Tableau course offers multiple benefits, including proficiency in its features, connecting with diverse data sources, and creating dynamic visualizations. You’ll learn best practices for effective chart types, color schemes, filtering, and layout design. Mastering Tableau enables you to generate accurate insights, automate tasks, and create interactive dashboards that tell compelling data stories. Alongside your course, you’ll delve into real-world Case-Studies, gaining practical insights into how Tableau is applied in various industries and scenarios.

The course covers the following topics: 

• Introduction to Tableau and Tableau Workflow: This section provides an overview of the Tableau Platform, Application Terminology, Visual Cues for Fields, Understanding Permissions in Tableau, Navigating a Tableau Site, Architecture, Understanding the Tableau Workflow, Understanding Elements of Visualization. 
• Setting up connections and data sources: This section covers the process of establishing connections with various data sources in Tableau, including an overview of Tableau file types and extensions. You will learn how to create live data connections, save and edit data sources, modify data attributes, and understand. 
• Changes in the data.: This section teaches how to create groups, sorting of data, understand Data Filtering, Date Filters, Creating Hierarchies, Creating Crosstabs, Grand Totals, Subtotals, and Changing Aggregation, Creating Highlight Tables. 
• Tableau data analysis: This section teaches how to use Discrete Date Parts and Continuous Date Values, Using Measure Names and Measure Values in a view. 
• Creating Sets and Parameters: This section teaches how to use Sets, Combined Sets, and Create Parameters. 
• Creating and Connecting to Data Sources: This section provides an overview of Joins, Unions, merging fields, Relationships between tables, Data Blending, using Data extracts. 
• Calculations in Tableau: This section teaches you how to create Number functions, String functions, Date Functions, Type conversion Functions, Logical Functions, Aggregate functions, Considerations for Calculated Fields, Advanced Table Calculations, Table Calculation Types, Customizing Table Calculations, using Quick Table calculations, using Rank to show biggest to smallest, understanding Level of Detail (LOD) Expressions. 
• Data Analysis in Tableau: In this section, you will learn valuable techniques for comparing measures in Tableau. You’ll explore how to utilize a bar in a bar chart to compare two measures effectively. Additionally, you’ll discover the power of a bullet graph in comparing progress toward a goal. The use of reference lines, along with parameters, will be covered to provide further insights. You’ll also learn how to incorporate reference bands and scatter plots for displaying correlations and outliers and leverage the analytics pane for advanced analysis. Finally, the section will delve into the application of trend lines and models to uncover patterns and make predictions. 
• Viewing Distributions in Tableau: This section covers how to create Bins and Histograms, Box and Whisker Plots, Pie Charts, and Tree Map. 
• Mapping and analyzing Data Geographically using Tableau: This section teaches Mapping, Navigation, and selections using Marks layers for Maps. 
• Dashboards and Stories: This section covers the development process for Dashboards and Stories to visualize data meaningfully, adding Interactivity with Filters and Actions, Tooltips, and publishing Dashboard Online.