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Course Details
Information Brochure: Pharma Data Science Bootcamp - Python, Analytics and AI
Scope of Pharma Data Science (Python, Analytics and AI) | A Detailed Discussion with Aditya Jindal | 11/10/2025 | 22:00-23:00 Hrs.
Data Science Bootcamp - Orientation Session | 13/10/2025 | 22:00 Hrs. | By Aditya Jindal
Session 1 - Introduction to Python
Session 1 - Python and VS Code Installation
Session 1 - Introduction to python
Session 2 - Python Strings and Numbers
Session 2 - Python strings and numbers
Session 3 - Numbers, Operators and Lists
Session 3 - Numbers, Operators and Lists
Session 4 - Python Dictionaries and loops
Session 4 - Dictionaries and Loops
Session 5 - Conditional statements
Session 5 - Conditional statements
Session 6 - Functions, Modules and Libraries
Session 6 - Functions, Modules and Libraries
Session 7 - Pandas and Numpy Part 1
Session 7 - Pandas and Numpy Part 1
Session 8 - Pandas and Numpy Part 2
Session 8 - Sample Claims Data
Session 8 - Pandas and Numpy part 2
Session 9 - Pandas and Numpy part 3
Session 9 - Pandas and Numpy part 3
Session 10 - Introduction to Machine Learning
Session 10 - Example Data
Session 11 - Data Preprocessing, linear regression and evaluation
Session 11 - MultiMix Marketing Data
Session 11 - Data Preprocessing, linear regression and evaluation
Session 12 - Logistic Regression, Classification evaluation Metrics
Session 12 - Iris data
Session 12 - Logistic Regression and Classification evaluation metrics
Session 13 - KNN, Test Train Split, Cross validation and Bias-variance tradeoff
Session 13 - pima-indians-diabetes data
Session 13 - KNN, Test Train Split, Cross validation and Bias-variance tradeoff
Session 14 - Support Vector Machines and cross-validation deep dive
Session 14 - Support Vector Machines and CV deep dive