Course Overview

Data Science with Python:

The Data Science with Python internship program provides a comprehensive foundation in data analysis, machine learning, and data-driven decision-making using Python. This program focuses on transforming raw data into meaningful insights through practical tools and techniques.

During the internship, participants gain hands-on experience with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn. Interns work on real-world datasets to perform data cleaning, visualization, and predictive modeling.

Interns will:

1. Understand core concepts of data science and analytics
2. Perform data cleaning, preprocessing, and feature engineering
3. Visualize data using Matplotlib and Seaborn
4. Build and evaluate machine learning models
5. Work with real-world datasets for analysis and prediction
6. Use Python for statistical analysis and data manipulation

By the end of the internship, participants will have practical experience in handling data, building predictive models, and generating insights, preparing them for careers in Data Science, Data Analysis, and Machine Learning.