• Module 1P - Foundations of Data Science in Python | 5,7,8 Aug 2019
• Topics Covered
  • Session 1 - Programming in python
  • Session 2 - Data Wrangling
  • Session 3 - Exploratory Data Analysis
  • Session 4 - Data Science in the Real World
  • Session 5 & 6 - Mini-projects
• Steps to follow:
  • Step 1 - Logging into coding environment
    • Step 1a - Logging into Google Colab
    • Step 1b - Jupyter Notebook in Browser
    • Step 1c - Jupyter Notebook Installation
  • Step 2 - Opening a notebook
• Miscallaneous
  • Download Github folder

• Intro to Jupyter Notebook | Intro to Python | Intro to Pandas - ipynb code
• Practise Session
  • Exercise 2 - ipynb code
  • Exercise 3 - ipynb code

• Data Basics | Missing Data | Merging and Grouping - ipynb code
• Practise Session
  • Exercise 1 - ipynb code
  • Exercise 2 - ipynb code
  • Exercise 2 - ipynb code

• Matplotlib Basics | Plot from Pandas - ipynb code
• Practise Session
  • Exercise 1 - ipynb code
  • Exercise 2 - ipynb code

• Data science work flow | Case study: conversion rate analysis - ipynb code

• Mini project 1 - Movie
• Mini project 2 - Student Grade
• Mini project 3 - Camera

** If you don't have a google account, skip to Step 1b **

• Go to https://colab.research.google.com
• Sign in to your google account
• If you are new to google colab notebook, watch this Youtube video - Get started with Google Colaboratory (Coding TensorFlow)

** If the notebook disconnects/ dies often, consider Step 1c. Many students have reported that that connection is not stable**

• Go to https://jupyter.org/try
• Click on "Try Jupyter with Python". This will launch an online jupyter notebook using binder

• If you want to install jupyter notebook into your computer,
  • Go to https://www.anaconda.com/distribution/,
  • Download Anaconda and
  • Install it
  • Click Start > Anaconda > Jupter Notebook (in Windows)

• Click File > New Python 3 Notebook to create a new .ipynb file online
• Wondering what's a notebook?
  • Think of it like a word document where you can write your python code, run and see the outputs, add comments and notes, insert images, etc. in one place.

• To download entire github repository, click on Clone or Download > Download Zip

• To download a specific folder in github repo,

  • Copy the folder url as shown below and
  • Go to https://minhaskamal.github.io/DownGit/ and Paste the url
  • Hit Download to download the folder/file