Python for Data Analysis and Visualisation

Entry requirements

This course is suitable for those who are competent in programming using Python (including notebooks, packages, data manipulation, design and use of pipelines, model evaluation functions) but are not expert programmers.

Coursework involves creating code to solve a specific problem, together with a short report that describes the approach taken and critically evaluates the results. This code can be developed either using learners’ equipment (such as a laptop or PC), or with cloud-based tools such as CoLab and Kaggle Notebooks, or Jupyter notebook. A good internet connection is more important than powerful computational equipment.

Months of entry

January, April, July, October

Course content

Python is a coding language used around the world. This is an ideal short course for professionals who want to use Python to improve their workflow.

Special Offer

You can study any of our Python short courses this July for just £950 by using the code PythonJuly25 at checkout. Book before 7 July to get access to the course for this discounted price.

Course details

In this course you will learn about good practices of developing Python code for working with data through the following topics:

• Structuring Python code: functions, classes, exceptions, modules
• Software engineering practices: testing, debugging, profiling, documenting, organising, storing under version control
• Using Python for data analytics: collecting data (API interaction, web scraping, interfacing databases) and using popular Python libraries (numpy, pandas, matplotlib) for their processing and visualisation

Python code is supplied and explained for each topic. Your key learning outcomes are:

• Master concepts of modelling, design, and programming in Python and gain practical skills in applying these concepts
• Be confident with effective documentation, layout, debugging and testing
• Be able to use Python programming and development tools
• Be able to load into Python data from standard formats and perform some descriptive data analysis

Who is this course for?

The course is aimed at professionals with a high level of numeracy who are seeking to understand the core programming skills needed for data analytics.

Teaching format

This is a self-paced online learning short course with lecture content, interactive elements, and access to a masterclass with the course leader after completion of the course.

Fees and funding