Introduction to Data Science in R

This is a repository for the data science workshop in R conducted by Unnati | Hasgeek

• Curriculum - The scope of the workshop.
• Installation - To get yourself ready for the workshop.
  • Installation for Windows
  • Installation for OSX
  • Installation for Linux
• Schedule - The broad schedule for the workshop
• Introduction - The overall introduction to the workshop.
• Overview - The overview presentation for the workshop. (Overview Slides)
• Intro to Data Structures in R - Get started with R.
• Intro to Visualisation in R - Get started with visualisation in R.

Case Studies

• Case #1 - Peeling the Onion - Price & Quantity of Onion across in India.
  • Frame the Problem
  • Acquire the Data
  • Refine the Data
  • Explore the Data
  • Model the Solution
  • Insight Communication
• Case #2 - Cars: Kitna Deti Hain - Price & Mileage for Cars in India
  • Frame the Problem
  • Acquire the Data
  • Refine the Data
  • Explore the Data
  • Model the Solution
• Case #3 - Bank Marketing - Bank Marketing
  • [Model - Logistic Regression](/bank-marketing/notebook/1. Bank Marketing - Logistic Regression.ipynb)
  • [Model - Decision Trees](/bank-marketing/notebook/2. Bank Marketing - Decision Tree.ipynb)
  • [Model Complexity](/bank-marketing/notebook/4. Model Complexity.ipynb)

You may also be interested to check out the Introduction to Data Science in Python repo.