Excel, Power BI & Python for Data Analytics by Gayazuddin Sheik

1. Introduction to Data Analytics

• Importance of data analytics in business

• Overview of Excel, Power BI, and Python for analytics

• Career opportunities in AI and data analytics

2. Excel for Data Analytics

• Advanced Excel functions and formulas

• Data cleaning and preparation

• Pivot tables and charts

• Conditional formatting and dashboards

3. Power BI for Data Visualization

• Introduction to Power BI interface

• Creating interactive reports and dashboards

• Data modeling and relationships

• Connecting Excel and Power BI

4. Python for Data Analytics

• Python basics for data manipulation

• Libraries: Pandas, NumPy, Matplotlib, Seaborn

• Data analysis and visualization projects

• Automating data workflows with Python

5. AI & Data Analytics Applications

• Introduction to AI and machine learning concepts

• Practical data analytics projects

• Predictive analysis using Python

• Real-world business scenarios

6. Hands-on Projects

• Data cleaning and analysis projects

• Interactive dashboards in Power BI

• Python data analytics mini-projects

7. Career Guidance & Next Steps

• Resume and portfolio preparation for data analytics roles

• Interview tips for analytics positions

• Roadmap to advanced analytics and AI