python-data-analysis

This is a repository for the Big Data in Python: Q-Step Workshop (November 2018)

A two hour hands-on workshop led by Dr Diarmuid McDonnell, University of Edinburgh.

Topics:

The course introduces participants to the skills required to discover data sources and organise raw data for data analysis. Practical operations such as scraping data from the web, organising and processing large datasets, and exporting files for analysis in other software packages will be covered. There will be an emphasis on developing accurate, efficient, transparent and reproducible code.

Python basics

Data Analysis in Python - http://www.data-analysis-in-python.org/
Installation - Python 3 - https://www.python.org/downloads/
Sublime Text - https://www.sublimetext.com/3

Tutorials

Data Analysis in Python - http://www.data-analysis-in-python.org/ [FREE]
Python Essential Training - https://www.lynda.com/Python-tutorials/Python-Essential-Training/614299-2.html [SUBSCRIPTION - try your university]

Useful resources

https://www.dataschool.io/python-or-r-for-data-science/ A Byte of Python - https://python.swaroopch.com/ [FREE - excellent, brief textbook that covers the basics] Big Data - http://www.tadawiki.org/index.php?title=Big_Data_(Topic)

Cheat Sheets

https://ehmatthes.github.io/pcc/cheatsheets/README.html