- Installation
- Overview of Data Science
- Data Science Process
- How to use Jupyter Notebook
- Intro to Data Structures in R
- Case 1: Peeling the Onion
- Exploring Onion Price and Quantity
- Fun visualization exercise
- Modelling the Onion data
- Communicating the Onion Insights
##3 Session 4 (1550 - 1730)
- Acquiring the Onion data (Web Scraping)
- Refining the Onion Data
- Working with SQL to Acquire and Refine Data
- Real life Scraping
- Office Hours
- Reflections
- Intro to Machine Learning
- Case 2: Kitna Deti Hain
- Linear Regression
- Case 2: Continued
- Fun Demo : Music Visualization
- Case 5: Bank Marketing
- Decision Trees for Classification
- Logistic Regression for Classification
- Bank Marketing (contd.)
- Recap and Way Forward
- Feedback