Data analysis is becoming increasingly computational. This is true for empirical and theoretical research both in, and outside academia. The command of programming languages is gaining importance. Python provides an excellent tool for practitioners and academics to tackle this. It is simple, versatile, and, best of all, it’s for free!

This course is designed to introduce Python programming as a tool for data analysis. It is aimed at professionals using data analysis as part of their work, be it economists, financial professionals or statisticians. It gives an overview of what Python is and how it can be used. The course introduces basic programming techniques and the most useful tools that data analysts can use in their day-to-day work such as directly downloading data from online sources; managing, combining and describing datasets; and managing projects with gantt charts. The focus is on data-science applications, in particular data management, analysis and visualisation. The course shows how using Python rather than other spreadsheet or econometric packages can save you time in your daily work.

The course is delivered in person over one day 09.30am – 5pm Tuesday 5th July 2022 at the University of Westminster, Marylebone Campus, 35 Marylebone Road, London NW1 5LS. It will be presented by Paul Wohlfarth.

In addition to the one-day course, all participants will be given access to the SPE Courses’ on-demand Introduction to Python course also presented by Paul Wohlfarth.

For full details and to register please click here or on the link below.