Data, AI & Digital Marketing
Python for Data
Programming foundations with a clear path into data analysis.
- Duration
- 40 hrs
- Modules
- 7
- Level
- PU & Degree (Grade 11 to UG)
- Mode
- Online, offline or hybrid
- Certificate
- Skillern course certificate
- Fees
- On request
About this course
A first programming course that moves from Python fundamentals to analysing and visualising data with pandas and Matplotlib.
- 1. Python basics — 6h
- 2. Control flow and functions — 6h
- 3. Data structures — 6h
- 4. Files and libraries — 4h
- 5. NumPy and pandas — 8h
- 6. Visualisation with Matplotlib — 5h
- 7. Mini project — 5h
Who it's for
- PU science and commerce students
- Degree students in any stream
Prerequisites
- None; logical thinking helps
Curriculum
7 modules, 40 hours standard.
Learning objective
Write and run simple programs.
Hands-on lab
Unit converter.
Topics covered
- Variables and data types
- Input and output
- Operators
What students can do by the end
- Write Python programs with functions and data structures
- Analyse data with pandas
- Create charts with Matplotlib
Career outcomes
- Junior Data Analyst (entry)
- Python Trainee
Tools and software
Python, Jupyter or Google Colab, pandas, Matplotlib
Signature project
Data story. A short analysis of a public dataset with charts.
Assessment and certification
Students who pass receive a Skillern course completion certificate. NSDC and EMax certification are available for eligible courses.
Trainer profile
Software or data professional
Delivery and scheduling
| Format | Schedule |
|---|---|
| Semester (recommended) | About 20 weeks at 2 hours a week |
| Intensive | 7 days at 6 hours a day, or weekend batches |
| School version | Not offered |
| Session length | 2-hour sessions |
Frequently asked questions
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