Become a Data Analyst: Excel, SQL & Tableau Course Syllabus

Overview: This course provides a comprehensive introduction to data analytics using Excel, SQL, and Tableau. Designed for beginners, it guides learners through foundational concepts, core techniques, and real-world applications. With approximately 15–17 hours of content, the course combines theory, hands-on exercises, and project-based learning to build practical skills essential for entry-level data analyst roles.

Module 1: Introduction & Foundations

Estimated time: 4 hours

• Introduction to key concepts in data analytics
• Discussion of best practices and industry standards
• Case study analysis with real-world examples
• Overview of Excel, SQL, and Tableau in data workflows

Module 2: Core Concepts & Theory

Estimated time: 2.5 hours

• Introduction to key concepts in core concepts & theory
• Discussion of best practices and industry standards
• Hands-on exercises applying core concepts & theory techniques
• Interactive lab: Building practical solutions

Module 3: Practical Application & Techniques

Estimated time: 3 hours

• Guided project work with instructor feedback
• Review of tools and frameworks commonly used in practice
• Hands-on exercises applying practical application & techniques

Module 4: Advanced Topics & Methods

Estimated time: 2 hours

• Introduction to key concepts in advanced topics & methods
• Guided project work with instructor feedback
• Quiz and peer-reviewed assignment

Module 5: Case Studies & Real-World Projects

Estimated time: 3.5 hours

• Interactive lab: Building practical solutions
• Review of tools and frameworks commonly used in practice
• Case study analysis with real-world examples
• Guided project work with instructor feedback

Module 6: Capstone Project & Assessment

Estimated time: 1.5 hours

• Assessment: Quiz and peer-reviewed assignment
• Introduction to key concepts in capstone project & assessment
• Guided project work with instructor feedback

Prerequisites

• Basic computer literacy
• Familiarity with spreadsheets (no prior experience required)
• Willingness to learn analytical thinking and problem-solving

What You'll Be Able to Do After

• Evaluate best practices and emerging trends in data analytics
• Master core concepts and fundamental principles of data analysis
• Build a professional portfolio demonstrating your competency
• Develop practical skills through hands-on projects and assignments
• Design data-driven solutions that meet professional standards