Intro


SCROLL DOWN

Intro


Short Bytesize Courses

Intermediate

SAGE Campus Bytesize courses are a series of short online courses that provide social scientists with core data management and data analysis skills. Each course is between 2 and 5 hours long, so you can complete it over an evening or a weekend.
If you would like to take an introductory level course, try out Introduction to Python for Social Scientists or Introduction to R for Social Scientists.

EARLY BIRD DISCOUNT:Sign up to a Bytesize course before September 9th and save 25%. Enter discount code EARLYBIRD25 at the checkout. 

Course List


Course List


FAQs


FAQs


What do I need to know before taking this course?

To successfully complete this course, you will need knowledge of Python and/or R.

Do I need to install any software?

No. All you need to complete this course 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.

What do I need to participate on this course?

A computer or laptop with the suggested software and a modern browser e.g. Internet Explorer 10+ or the latest versions of Chrome and Firefox.

How long will I have access to the course for?

You will have access to the course for 3 months.

Do learners get a certificate?

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.

Can I buy these courses outside of the US?

Yes, SAGE Campus are available outside of the US. At time of purchase, the current exchange rate will change the price of this course in to your local currency

What introductory course can I take if I don’t have experience with Python or R?

We have several introductory courses for Python and R including Introduction to Data Science with Python, Introduction to Data Science with R, Introduction to Python, and Introduction to R.

Can't find what you're looking for? Contact Us

Settings


Settings


V2 Course List Tag

Banner Section settings

Banner color - values = light or dark