This is a repository for the data science workshop in Python to be conducted by Unnati | Hasgeek

• Curriculum - The scope of the workshop.
• Installation - To get yourself ready for the workshop.
• 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 Python - Get started with Python.

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 - Hard Disk Failure - Hard Disk Failure Rates @ Backblaze
  • Frame the Problem
  • Acquire the Data
  • Refine the Data
  • Explore the Data
• Case #3 - Shining Diamonds - Price of Diamonds based on 4Cs (Carat, Colour, Cut and Clarity)
• Case #4 - Wine Selection - Selecting a good Red Wine to drink
• Case #5 - Kaggle Competition - Entering your first kaggle competition