Data Science & EDA

The Data Science Full Stack Internship Program is a hands-on, industry-driven training designed to make you proficient in Data Analysis, Machine Learning, Deep Learning, Data Engineering, and Deployment. You’ll master both the analytical and engineering aspects of the data science lifecycle—from data collection to web-based model deployment.

• Module 1
• Module 2
• Module 3
• Module 4
• Module 5
• Module 6

Module 1: Python Programming for Data Science

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Month 1

• Python Basics: Variables, Control Flow, Functions
• OOP Concepts & File Handling
• Data Structures: Lists, Tuples, Dicts, Sets
• Python Libraries: Math, OS, Random, DateTime
• Git&GitHub for Version Control
• Mini Project: CLI-Based Student Management Tool

Module 2: Data Analysis & Visualization

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Month 2

• NumPy: Arrays, Operations, Broadcasting
• Pandas: DataFrames, Cleaning, Grouping
• Matplotlib&Seaborn: Bar, Pie, Line, Heatmap, Histograms
• Handling Missing Values, Outliers, Encoding, Scaling
• Exploratory Data Analysis (EDA)
• Mini Project: EDA on Retail / Sales Dataset

Module 3: Statistics, Probability & SQL

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Month 3

• Descriptive & Inferential Statistics
• Probability Distributions (Normal, Binomial, Poisson)
• Hypothesis Testing – t-test, ANOVA, Chi-Square
• Correlation vs Causation
• Introduction to SQL for Data Science – Joins, Aggregates
• Mini Project: A/B Testing Case Study

Module 4: Machine Learning – Supervised & Unsupervised

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Month 4

• Linear & Logistic Regression
• Decision Trees, KNN, Random Forest, SVM
• Model Evaluation: Confusion Matrix, ROC-AUC, F1 Score
• Clustering (KMeans, Hierarchical), Elbow Method
• Feature Engineering & Data Splitting
• Mini Project: Customer Segmentation / Churn Prediction

Module 5: Advanced ML + Deep Learning + Deployment

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Month 5

• Ensemble Models (Bagging, Boosting, XGBoost)
• Model Tuning: GridSearchCV, Cross Validation
• Intro to Neural Networks using TensorFlow/Keras
• Flask Web Framework for ML Deployment
• API Testing using Postman
• Project: Flask-Deployed ML App (e.g., Loan Prediction)

Module 6: Data Engineering + Capstone Project + Career Prep

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Month 6

• Data Pipelines using Python & Pandas
• Working with Large Datasets (Chunking, Optimization)
• Web Scraping using BeautifulSoup / Selenium
• Capstone Project: Domain-based Real-Time Project
• Resume Writing, GitHub Portfolio, LinkedIn Setup
• Mock Interviews + Internship Certificate Distribution