Python for Data Analytics
Go beyond what Excel can handle.
Practical Python for analysts who already know Excel and want more. Covers Pandas, NumPy, Matplotlib and seaborn — taught with business datasets from finance, operations and sales.
Duration
6–8 weeks
Format
Live, Instructor-led
Level
All levels
Language
English / Hindi
What you will achieve
✓Read, clean and reshape data with Pandas
✓Automate repetitive analysis tasks with Python scripts
✓Create publication-quality charts with Matplotlib and seaborn
✓Join and merge DataFrames from multiple sources
✓Write reusable functions for analysis workflows
✓Handle datasets too large for Excel comfortably
Who this is for
Excel analysts who want to add Python to their toolkit
Analysts dealing with large files that slow down Excel
Data professionals who want to automate repetitive analysis
Graduates or career changers adding Python to their CV
Curriculum
Python Foundations
Variables and data types
Lists, dicts and tuples
Loops and conditions
Functions
File reading and writing
Jupyter notebooks setup
Pandas for Data Analysis
Series and DataFrame
Reading CSV and Excel files
Filtering and selecting
Groupby and aggregation
Merging and joining
Pivot tables in Pandas
Visualisation and Automation
Matplotlib basics
Seaborn for statistical charts
Customising charts for reports
Automating repetitive tasks
Scheduling scripts
Capstone project