This repository contains files used for uDacity's Data Analyst Nanodegree program which I briefly worked on in April, June and July 2016.

The courses are excellent, featuring high quality lectures and interactive exercises with answers for every 5-10 minutes of lecture material. They can be accessed for free (as of 25 June 2016) via the links below or via 'Nanodegree Program Syllabus' -> Supporting Courses on the Data Analyst Nanodegree page. They may be challenging for students with no programming experience.

Courses:

Courses Included:

• Intro to Descriptive Statistics (Completed, no files)
• Intro to Inferential Statistics (Completed, one project file)
• Intro to Data Analysis: Data Analysis using NumPy and Pandas (Completed)
• Intro to Data Wrangling with MongoDB: Data Manipulation and Retrieval (In Progress)

Courses Yet to Include:

• Data Analysis with R: Visually Analyse and Summarise Data Sets
• Intro to Machine Learning: Pattern Recognition for Fun and Profit
• Data Visualisation and D3.js: Communicating with Data
• A/B Testing

Standalone Courses Included:

• Deep Learning

Note-taking:

I started taking notes while studying 2. Intro to Data Analysis, where I took notes in the form of Anki flashcards. With 3. Intro to Data Wrangling with MongoDB, I shifted to using iPython Notebooks (with the mind to add a layer of Anki flashcards on top later) so I could examine code and have a flow of the lesson I could revisit.