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Udacity Data Analysis

Classes

  • Statistics
  • [Intro to Data Analysis](Intro to Data Analysis/)
  • [HTML and CSS](HTML and CSS/)
  • [Data Wrangling with MongoDB](Data Wrangling with MongoDB)

Projects

  • [P0: Chopsticks](P0 Chopsticks/)
  • [P1: Stroop Effect](P1 Stroop Effect/)
  • [P2: Baseball Managers](P2 Baseball Managers/)

Instructions for using IPython Notebooks

IPython notebooks are useful environments for mixed python and markdown usage. For more information, visit their website http://ipython.org/notebook.html.

Viewing

Viewing IPython notebooks on GitHub is very easy because GitHub renders the notebook for you. Simply view the .ipynb file on GitHub.

Creating and viewing IPython notebooks locally

  1. Download and install the python 2.7 version of Anaconda via https://www.continuum.io/downloads.
  2. Open a terminal and enter ipython notebook, this will open a notebook navigator. If you are opening an existing .ipynb, add the filename at the end of the command. For example ipython notebook Data_Analyst_ND_Project1.ipynb.