Data Analysis: SQL, Tableau, Power BI & Excel Course Syllabus

Overview: This course provides a practical, hands-on introduction to data analysis using SQL, Tableau, Power BI, and Excel. Through real-world projects and case studies, learners will gain job-ready skills in data querying, visualization, and reporting. The course spans approximately 15–18 hours of content, structured across six modules that progress from foundational concepts to a final capstone project. Each module includes hands-on exercises, quizzes, and guided project work to reinforce learning and build a professional portfolio.

Module 1: Introduction & Foundations

Estimated time: 2-3 hours

• Introduction to key concepts in data analysis
• Overview of SQL, Tableau, Power BI, and Excel
• Setting up the tools and environments
• Hands-on exercises applying foundational techniques

Module 2: Core Concepts & Theory

Estimated time: 2 hours

• Understanding core principles of data analysis
• Introduction to data types, structures, and relationships
• Best practices in data organization and cleaning
• Interactive lab: Building practical solutions

Module 3: Practical Application & Techniques

Estimated time: 4 hours

• Introduction to practical application techniques
• Data querying with SQL for analysis
• Creating basic reports in Excel and Power BI
• Discussion of best practices and industry standards

Module 4: Advanced Topics & Methods

Estimated time: 3 hours

• Introduction to advanced data analysis methods
• Advanced SQL queries and joins
• Enhanced visualizations in Tableau and Power BI
• Case study analysis with real-world examples

Module 5: Case Studies & Real-World Projects

Estimated time: 3-4 hours

• Hands-on exercises using real-world datasets
• End-to-end data analysis workflow
• Discussion of best practices and industry standards

Module 6: Capstone Project & Assessment

Estimated time: 1-2 hours

• Introduction to capstone project requirements
• Guided project work with instructor feedback
• Final assessment and portfolio submission

Prerequisites

• Basic familiarity with data analysis tools
• Understanding of spreadsheets and basic formulas
• Willingness to learn through hands-on practice

What You'll Be Able to Do After

• Apply theoretical knowledge to real-world data scenarios
• Master core concepts of SQL, Excel, Power BI, and Tableau
• Evaluate best practices in data analysis and visualization
• Build a professional portfolio of real-world projects
• Analyze complex business problems using structured methodologies