Data Science & Data Analytics Using Python Internship
Analyze data, build insights, and solve real-world problems using Python.
📚 Curriculum Overview
- Introduction to Data Science & Analytics
- Python Programming for Data Analysis
- Data Preprocessing & Cleaning Techniques
- Exploratory Data Analysis (EDA)
- Data Visualization using Matplotlib & Seaborn
- Statistical Analysis & Business Insights
- Introduction to Machine Learning Concepts
- End-to-End Data Analytics Project
🛠️ Case-Based Project Experience
Work on real-world datasets to analyze trends, uncover patterns,
and generate meaningful insights for decision-making.
📦 Learning Resources
Access downloadable Jupyter notebooks, datasets, cheat sheets,
and project files to support hands-on learning.
🎓 Internship Details
Duration: 8–12 Weeks (Self-Paced)
Mode: 100% Online
Internship Type: Case Study & Project-Based
Certification: Provided upon successful project submission