What You Need to Know Before
You Start
Starts 4 July 2025 10:09
Ends 4 July 2025
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Days
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Hours
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9 hours 37 minutes
Optional upgrade avallable
Not Specified
Progress at your own speed
Paid Course
Optional upgrade avallable
Overview
Are you ready to become an Expert in Data Analytics? Do you want more practical, hands-on experience in Data Visualization and tools like Tableau?
Do you want to add a portfolio of dashboards to your resume so you can land your dream job in Data?
Syllabus
- Introduction to Data Analytics and Tableau
- Getting Started with Tableau
- Data Connection and Preparation
- Building Basic Visualizations
- Advanced Visualization Techniques
- Dashboard Design and Interactivity
- Data Storytelling and Presentation
- Advanced Data Analytics with Tableau
- Integrating Data from Multiple Sources
- Sharing and Publishing Work
- Building Your Portfolio
- Case Studies and Real-World Applications
- Final Project
- Course Review and Next Steps
Overview of Data Analytics
Introduction to Tableau: Interface and Features
Importance of Data Visualization
Installation and Setup
Connecting to Data Sources
Understanding Tableau Workbooks and Projects
Importing Different Data Formats
Data Cleansing and Transformation
Managing Metadata and Data Types
Creating Bar Charts, Line Charts, and Scatter Plots
Using Tableau's Show Me Feature
Formatting and Customizing Visual Elements
Dual-Axis Charts and Combination Charts
Heat Maps and Highlight Tables
Creating Maps and Geographic Visualizations
Building Interactive Dashboards
Adding Filters and Parameters
Designing for User Experience
Crafting a Narrative with Data
Best Practices for Presenting Data Visually
Incorporating Story Points in Tableau
Calculated Fields and Table Calculations
Level of Detail (LOD) Expressions
Trend Analysis and Forecasting
Data Blending Techniques
Combining Data with Joins and Relationships
Using Tableau Prep for Data Integration
Exporting Dashboards for Different Formats
Publishing to Tableau Public and Tableau Server
Collaborating and Sharing Insights with Teams
Selecting Projects for Your Portfolio
Documenting Your Analytical Process
Presenting and Communicating Your Work
Examining Industry-Specific Case Studies
Practical Exercises and Assignments
Guest Speakers and Insights from Industry Professionals
Designing a Comprehensive Dashboard
Applying Learned Concepts and Techniques
Peer Review and Feedback Sessions
Recap of Key Learnings
Resources for Further Learning in Data Analytics
Career Pathways and Job Search Strategies in Data Analytics
Taught by
Dee Naidoo
Subjects
Data Science