Data Visualization with Tableau Online Course
About the Course
Tableau is one of the most rapidly advancing tools in the field of Business Intelligence (BI) and data visualization. With its powerful capabilities, Tableau transforms raw data into compelling, interactive visual stories—enabling users to communicate complex insights with clarity and impact.
This course offers a comprehensive introduction to data visualization using Tableau, starting with core concepts and gradually progressing to advanced techniques. You’ll explore essential topics such as:
- Basic and advanced calculations
- Integrating Tableau with R
- Building and formatting sophisticated visualizations
- Utilizing row-level, aggregate-level, and other advanced calculations
- Designing intuitive, interactive dashboards
As big data continues to shape industries and drive decision-making, mastering tools like Tableau is more important than ever. Through hands-on examples and real-world applications, this course will show you how to unlock the full potential of Tableau to solve analytical challenges creatively and effectively.
By the end of the course, you will:
- Gain a strong understanding of Tableau's features and capabilities
- Be able to design impactful dashboards and data visualizations
- Be prepared for success in a Data Analyst or BI role, using Tableau as your core tool
Course Curriculum
Introduction to Data Visualization and Tableau
- The Course Overview
- What Is Data Visualization?
- Why Visualize Data?
- Leading Data Visualization Tools
- Introduction to Tableau
- Tableau Products Suite
- Tableau File Types
Connecting to Data Sources
- Working on Excel Data
- Connecting to a Text Data Source
- Handling R Data
- Connecting to MS Access Database
Creating Basic Charts and Graphs
- Creating a Pie Chart
- Creating a Bar Chart
- Creating a Line Graph
- Discovering Scatter Plot
Data Management
- Handling Filter Data
- Discovering Context Filter
- Implementing Sorting
- Nested Sort
- Understanding Grouping of Data
- Manipulating Sets
- Creating Parameters
Working with Dates
- Discrete and Continuous
Table Calculation
- Percent of Total
- Running Total Calculations
- Computing "Rank"
- Moving Average
- Computing "Year on Year Growth"
Advanced Chart
- Combination Chart
- Dual Axis Chart
- Heat Map
- Tree Map
- Box Plot
- KPI Chart
- Waterfall Chart
- Bump Chart
- Level of Details (LOD)
Integrating R
- Linear Regression
- Performing "Market Basket Analysis" in Tableau
- K-means Clustering
Dashboards
- Building an Interactive Dashboard
- Best Practices for Effective Das