Learn how to analyze data, generate insights, and work with real-world datasets using Python.
PART-1: Python for Data Analytics (5 Sessions)
â–¶Session-1: Python Basics for Data Analytics
â–¶ Session-2: Python Control Flow for Analytics
â–¶Session-3: Python Functions for Automation Session-3: Functions for Automation Framework
â–¶Session-4: Python Data Structures for Data Analytics
â–¶Session-5: File Handling for Data Analytics
PART-2: Data Handling \& Processing (5 Sessions)
â–¶Session-6: NumPy for Data Processing
â–¶Session-7: Pandas Basics
â–¶Session-8: Pandas Advanced Data Processing
â–¶Session-9: Data Cleaning Techniques
PART-3: SQL for Data Analytics (5 Sessions)
PART-4: Data Visualization \& Dashboard (5 Sessions)
PART-5: END-TO-END DATA ANALYTICS PROJECT (5 Sessions)
Key Outcomes After Training: Candidates will be able to: