Module 2: Data Analysis & Visualization Tools
Description: Introduction to MySQL, Installation and Setup
Description: Writing, Running, Saving SQL Query and Customising Workbench
Description: Connecting MySQL with Python and AWS RDS using VS Code and Terminal
Description: Working with Data Processing and Data Visualization Tools
Description: Clean Your Data Fast in Excel!
Description: Using Formulas to Clean and Summarize Data
Description: Learn how to import CSV files and perform basic data cleaning in Google Sheets
Description: Learn how to organize, filter, and visualize your data beautifully in Google Sheets!
Description: Collaborate, share, and export your work — see how Google Sheets connects to real-world use cases!
Description: Discover why Power BI is essential for ML projects — from setup to saving your first report!
Description: Turn ML results into clear, interactive dashboards — with filters, slicers, and insights!
Description: Discover why Tableau is a favorite for ML projects — from setup to your first data visualization!
Description: Communicate insights visually — hands-on chart creation and data storytelling in Tableau!
Description: Build interactive dashboards, apply filters, and share your Tableau insights with the world!
Description: Discover how to visualize ML data easily — connect, explore, and start building in Google Data Studio!
Description: Create real-time, web-based reports and stunning visual charts in Google Data Studio!
Description: Customize, filter, and share — turn your dashboards into real-world ML insights!
