Python for Web Analytics

The Python for Web Analytics course focuses on how Python can be used in Web Analytics to simplify and accelerate data processing, manipulation and visualization. This hands-on training will provide real life examples of using Python in web analytics including connecting to API’s, manipulating DataFrames and visualisation.

What this training will cover

• Python set up: How to set up Python on your machine/ online access via Microsoft Azure Notebooks. Jupyter notebook environments & required/useful libraries.
• Input/Output: I/O from multiple data sources. Including how to connect to several common web analytics reporting API’s such as Google Analytics, Adobe Analytics and Webtrends.
• Data Manipulation: Merging, concatenating and wrangling different data sets using Series & DataFrames in Pandas
• Data Visualisation: Exploration of Matplotlib, Seaborn and Plotly and their relative abilities to clean and display data

What this training will teach you to do

• Connect and query the Google Analytics Core Reporting API/Adobe Analytics API/Webtrends reporting API
• Manipulate web analytics data to answer common analytics questions
• Introduction to multiple visualisation packages and how to build a reporting dashboard within Python.