Master Data Science: From Foundations to Real-World Expertise

Embark on a 4-month intensive Data Science journey covering Python, Statistics, Machine Learning, NLP, and MLOps. Learn by doing with hands-on projects and gain job-ready skills to thrive in the data-driven world.

Hands-on Projects

Learn by doing

Community & Support

Collaborate and grow

Cutting-Edge Topics

Stay ahead of the curve

Expert Instructors

Learn from the best

Master Data Science: From Foundations to Real-World Expertise

Course Content

Month 1: Python, Math & Data Fundamentals (~40 Hours)

Week 1: Python Programming for Data Science (10 hrs)

Week 2: Statistics & Probability (10 hrs)

Week 3: Linear Algebra & Calculus for ML (10 hrs)

Week 4: Data Wrangling & Preprocessing (10 hrs)

Month 2: Machine Learning Algorithms & Evaluation (~45 Hours)

Week 5: Supervised Learning – Regression (10 hrs)

Week 6: Supervised Learning – Classification (10 hrs)

Week 7: Model Tuning & Ensemble Learning (10 hrs)

Week 8: Unsupervised Learning (15 hrs)

Month 3: Time Series, Recommender Systems & NLP (~45 Hours)

Week 9: Time Series Analysis (10 hrs)

Week 10: Recommender Systems (10 hrs)

Week 11: Natural Language Processing (NLP) Basics (15 hrs)

Week 12: Capstone Project 1 (10 hrs)

Month 4: Data Engineering, Deployment & MLOps (~30 Hours)

Week 13: Model Deployment & APIs (10 hrs)

Week 14: MLOps Basics (10 hrs)

Optional Week: Prompt Engineering for Data Scientists (10 hrs)