Learn to Code for Data Analysis
Duration 4 weeks
Weekly study 5 hours
Learn to code in Python and analyse real, open data
This hands-on course will teach you how to write your own computer programs, one line of code at a time. You’ll learn how to access open data, clean it and analyse it, and produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.
You will install free software to learn to code in Python, a widely used programming language. You will write up analyses and do coding exercises using the popular Jupyter Notebook platform. And you will look at real data from the World Health Organisation, the World Bank and other organisations.
What topics will you cover?
- Python: variables, assignments, expressions, basic data types, if-statement, functions
- Programming: using Jupyter Notebooks, writing readable and documented code, testing code
- Data analysis: using pandas to read CSV and Excel files, to clean, filter, partition, aggregate and summarise data, and to produce simple charts
Who is the course for?
The course does not assume prior experience in programming or data analysis. Basic familiarity with a spreadsheet application will be an advantage.
The course does not require any knowledge of statistics, but you need to have basic numeracy skills, like writing arithmetic expressions, using percentages and understanding scientific notation. If you wish to brush up on your numeracy skills, we recommend the FutureLearn course Basic Science: Understanding Numbers from The Open University.
Who will you learn with?
Who developed the course?
The Open University (OU) is the largest academic institution in the UK and a world leader in flexible distance learning, with a mission to be open to people, places, methods and ideas.
- LocationMilton Keynes, UK
- World rankingTop 510Source: Times Higher Education World University Rankings 2020
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