This course is the first in a suite of courses that make up our Fundamentals of Data Science for Social Scientists package for institutional purchase.
This is the introductory course to our Fundamentals of Data Science for Social Scientists package. It will give you an understanding of data science methods and tools, all from a social science perspective
By the end of the course you will:
Understand how data science is changing social science
Have knowledge of data science tools used for social science research
Understand the value of open-source programming languages, specifically R and Python
Know about Jupyter notebooks, a browser-based tool for creating interactive documents with live code
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 comes in our Fundamentals of Data Science for Social Scientists package for institutional purchase, along with nine other courses. You can find out about and enquire about purchasing the full package here.
Insitutions can purchase a 6 month subscription to the Fundamentals of Data Science for Social Scientists package that this course is part of. Learners will have full access to this and all of the other courses for the duration of the subscription.
Your institution’s subscription will be tailored depending on the number of learners you have. We can accommodate anything from 10-100 learners.
Yes! If you would like to see the courses before purchasing your institution’s subscription you can trial free demos of the courses. Simply ask for this when you make your enquiry.
Only if you want to! All that’s needed to complete the courses is a web browser and an internet connection. We do all our programming using JupyterHub, which means that you can code in your browser window.
Jupyter notebooks offer a seamless integration of code with explanatory markdown text. It will allow you to read the narrative of the programming task, and write code of your own to fit into the larger narrative. If you’d like to find out more about Jupyter notebooks, see our blog post 'What is a Jupyter notebook'.
However, if you wish to install R or Python, please do!
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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