Data Analysts Toolbox: Excel, SQL, Python, Power BI, Tableau Course Syllabus

Overview: This course provides a comprehensive introduction to the essential tools used by data analysts, including Excel, SQL, Python, Power BI, and Tableau. Designed for intermediate learners, it combines theoretical knowledge with hands-on practice to build job-ready skills. The curriculum is structured into six modules, totaling approximately 17-21 hours of learning. Each module focuses on key data analysis technologies, featuring real-world case studies, interactive labs, and assessments to reinforce learning. Ideal for aspiring data analysts seeking to master multiple platforms and enhance career prospects in analytics and business intelligence.

Module 1: Development Environment & Tools

Estimated time: 3 hours

• Introduction to key concepts in development environment & tools
• Discussion of best practices and industry standards
• Case study analysis with real-world examples

Module 2: Core Programming Concepts

Estimated time: 2-3 hours

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

Module 3: Data Structures & Algorithms

Estimated time: 4 hours

• Case study analysis with real-world examples
• Discussion of best practices and industry standards
• Hands-on exercises applying data structures & algorithms techniques

Module 4: Application Architecture

Estimated time: 1-2 hours

• Introduction to key concepts in application architecture
• Discussion of best practices and industry standards
• Case study analysis with real-world examples

Module 5: Testing & Quality Assurance

Estimated time: 3-4 hours

• Review of tools and frameworks commonly used in practice
• Interactive lab: Building practical solutions
• Discussion of best practices and industry standards

Module 6: Deployment & DevOps

Estimated time: 2 hours

• Introduction to key concepts in deployment & devops
• Guided project work with instructor feedback
• Interactive lab: Building practical solutions

Prerequisites

• Familiarity with basic computer operations
• Basic understanding of data concepts
• Willingness to learn multiple data tools

What You'll Be Able to Do After

• Use Excel, SQL, Python, Power BI, and Tableau for data analysis tasks
• Apply industry best practices in data processing and reporting
• Build and present data visualizations using Power BI and Tableau
• Analyze data with Python and SQL for actionable insights
• Complete end-to-end data analysis projects using multiple tools