Purpose
Data Analytics and Visualization in Tableau is a course that teaches individuals how to use Tableau software to analyze and visualize data. Tableau is a powerful data visualization tool that allows users to easily connect to various data sources, create interactive visualizations, and share insights with others.
The course will cover the basics of Tableau, including connecting to data sources, working with data, creating visualizations, and sharing insights. Participant will learn how to use Tableau’s drag-and-drop interface to create charts, maps, and dashboards, as well as how to use advanced features such as calculated fields, groups, and hierarchies. The course will cover how to create interactive dashboards and reports that allow users to explore data and discover insights.
The course will also cover best practices for data visualization, such as choosing the right chart type for the data, using color and design to effectively communicate information, and creating interactive dashboards that allow users to explore data.
The course is intended for individuals who are new to Tableau and want to learn how to use the software to analyze and visualize data. It’s a great course for data analysts, business analysts, data scientists, and anyone who wants to gain proficiency in Tableau for data analytics and visualization.
The course will have a mix of lectures, hands-on exercises, and projects that will give participant the opportunity to apply their knowledge and skills to real-world data.
Course Objectives
- Familiarizing participant with the Tableau interface and how to connect to different data sources.
- Teaching participant how to use Tableau’s drag-and-drop interface to create charts, maps, and dashboards.
- Providing hands-on experience in working with data in Tableau, including data cleaning, preparation, and analysis
- Introducing participant to advanced features of Tableau, such as calculated fields, groups, and hierarchies, and how to use them for more complex data analysis and visualization.
- Showcasing how to create interactive dashboards and reports that allow users to explore data and discover insights.
- Discussing best practices for data visualization, such as choosing the right chart type for the data, using color and design to effectively communicate information.
- Creating a complete project with data analytics and visualization in Tableau.
- Giving participant the ability to analyze and visualize large datasets and make data-driven decisions using Tableau.
- Providing participant with the skills and knowledge they need to apply Tableau to real-world problems and make informed decisions.
- Introducing participant to Tableau’s integration with other software such as R and Python
- Covering the basics of data storytelling and how to use Tableau to effectively communicate insights to others.
Program Outline
- Introduction to Tableau and its interface
- Connecting to various data sources (e.g., Excel, CSV, SQL databases)
- Data cleaning and preparation techniques
- Creating basic visualizations (e.g., bar charts, line charts, scatter plots)
- Advanced visualization techniques (e.g., mapping, treemaps, heat maps)
- Creating dashboards and worksheets
- Advanced calculations and analytics (e.g., trend lines, clustering)
- Creating stories and interactive dashboards
- Best practices for data visualization and design
- Preparing and publishing visualizations to Tableau Server or Tableau Public
Note that this is a general outline and can be adjusted depending on the duration of the course and the skill level of the participant.