- 11 Sections
- 54 Lessons
- 25 Weeks
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- SECTION 1: DATA SCIENCE FOUNDATIONS3
- Section 2: PYTHON PROGRAMMING6
- Section 3: MATHEMATICS & STATISTICS5
- Section 4: DATA ANALYSIS WITH PYTHON5
- Section 5: DATA VISUALIZATION4
- Section 6: SQL FOR DATA SCIENCE5
- Section 7: MACHINE LEARNING8
- 7.1Module 29 – Introduction to Machine Learning
- 7.2Module 30 – Supervised Learning
- 7.3Module 31 – Regression Algorithms
- 7.4Module 32 – Classification Algorithms
- 7.5Module 33 – Unsupervised Learning
- 7.6Module 34 – Clustering Techniques
- 7.7Module 35 – Model Evaluation & Validation
- 7.8Module 36 – Hyperparameter Tuning
- Section 8: DEEP LEARNING5
- Section 9: POWER BI & BUSINESS INTELLIGENCE4
- Section 10: CAPSTONE PROJECTS & CASE STUDIES5
- Section 11: CAREER PREPARATION & PLACEMENT4
Mock Interviews & Coding Rounds
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