Data Science and Machine Learning Internship Program Course Syllabus

Overview: This 4-month, live instructor-led internship-style program provides a comprehensive journey through data science and machine learning, combining theoretical knowledge with hands-on project work. With approximately 96 hours of structured learning, participants will progress from foundational programming and data manipulation skills to advanced topics like deep learning, natural language processing, and data visualization. Each module emphasizes real-world applications through projects, quizzes, and mentorship, culminating in a capstone project that integrates all learned skills. Weekly live sessions ensure continuous support and engagement.

Module 1: Python for Data Science

Estimated time: 24 hours

• Python basics and programming constructs
• NumPy for numerical computing
• Pandas for data manipulation and analysis
• Data visualization with Matplotlib and Seaborn
• Probability, statistics, and exploratory data analysis (EDA)

Module 2: Database Management

Estimated time: 18 hours

• SQL fundamentals and querying with T-SQL
• Microsoft SQL Server and relational database design
• Stored procedures and database functions
• Concurrency and transaction management
• HR management system project implementation

Module 3: Machine Learning

Estimated time: 24 hours

• Supervised learning: regression and classification
• Unsupervised learning: clustering and dimensionality reduction
• Time series forecasting and evaluation metrics
• Recommendation systems and model tuning
• Heart disease prediction model project

Module 4: Deep Learning & NLP

Estimated time: 18 hours

• Convolutional Neural Networks (CNNs) for image data
• Recurrent Neural Networks (RNNs) and LSTMs for sequences
• NLP pipelines: preprocessing, tokenization, embeddings
• Sentiment analysis and text classification models

Module 5: Data Visualization with Tableau

Estimated time: 12 hours

• Tableau fundamentals and dashboard creation
• Data connection and transformation in Tableau
• Interactive visual analytics and reporting

Module 6: Final Project

Estimated time: 20 hours

• Build an end-to-end Netflix-style movie recommender system
• Integrate data collection, cleaning, modeling, and deployment
• Create interactive Tableau dashboards for model insights and presentation

Prerequisites

• Basic understanding of programming concepts
• Familiarity with high school-level mathematics and statistics
• Access to a computer with required software and internet connection

What You'll Be Able to Do After

• Analyze and visualize complex datasets using Python and Tableau
• Design and manage relational databases using SQL Server
• Build, evaluate, and tune machine learning models for real-world problems
• Develop deep learning and NLP applications for text and sequence data
• Deploy end-to-end data science projects with professional dashboards