Module 1: Fundamentals
Introduction to Data Analytics
📚 Learning Objectives
- Understand the role of a Data Analyst
- Identify the "Big Three" tools: Excel, SQL, Power BI
- Learn the Data Analytics Lifecycle
Data Analytics is the science of analyzing raw data to make conclusions about that information. In today's industry, a Data Analyst uses specific tools to clean, query, and visualize data to help businesses make better decisions.
This course follows a professional workflow:
- Excel: Raw Data Cleaning & Initial Transformation.
- MySQL: Advanced Data Querying & Aggregation.
- Power BI: Dynamic Data Modeling & Visualization.
✨ Skills You Will Gain
- Advanced Excel Functions (VLOOKUP, Pivot Tables)
- Database Management with SQL
- DAX and Data Modeling in Power BI
- Professional Business Intelligence Dashboards
🎥 Video Explanation
Video: Coming Soon
🧠 Practical Implementation
Observe the Data Pipeline below.
DataPipeline.txt
CSV (Raw) -> Excel (Cleaned) -> SQL (Queried) -> Power BI (Visualized)🚀 Topic Challenge
List three ways data analysis can help a local coffee shop increase its sales.