You will gain an understanding of data science methods and tools, all from a social science perspective
By the end of the course you will:
How is data science changing social science and statistics?
How can we do data science in an ethical manner and what additional ethical challenges do data science techniques have beyond traditional social science methodologies?
How can I construct a survey and crowdsource responses, and which free tools can I use to build surveys?
An introduction to some commonly used data science tools: the programming languages R and Python, the version control system Git and the Jupyter Notebook environment.
This course will introduce you to Python and R - and discuss the pros and cons of both languages - but it is not intended as a comprehensive programming course. In the final module you have the opportunity to ‘have a go’ at programming code. If you find that this inspires you to learn how to code, we recommend our Introduction to R, and Introduction to Python courses.
Only if you want to! In the final module you have the opportunity to try some coding but this can take place in the JupyterHub. Using the JupyterHub means that all of your programming takes place in your web browser on your computer, tablet, or phone. However, if you wish to install R or Python please do! If you’d like to find out more about Jupyter notebooks, see our blog post “What is a Jupyter Notebook”.
You have access to the course for 3 months. For the first 8 weeks of the course there will be fortnightly video Q&A sessions. In these live sessions you will have the opportunity to ask your instructor questions, or discuss a topic you may be struggling with.
All of our courses offer a certificate of completion signed by your instructor. You will be able to download this certificate, from the Learning Platform, when you complete the course.
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