SAGE Campus work with world-leading data science institutions to bring you a series of academically robust online data science courses for social scientists. Social science research is changing and we want to help you gain the skills you need to embrace the data revolution, build a successful career, and, ultimately, produce high quality research.

Social Science Focus

Developed for social scientists, with tailored content for you and your research.

Practical skills

With our courses you’ll learn through doing, and be able to start applying new skills learned even after week one.

Engaging content

Our courses are interactive: packed with engaging content, activities and video.

Trusted Quality from SAGE

Our research methods expertise and extensive review process ensures excellence.

Group purchase

SAGE CAMPUS FOR INSTITUTIONal Purchase

Upskill students, faculty, staff or groups of researchers in data science with our packages for universities, colleges, governmental departments and other institutions. Our online courses are perfect for upskilling faculty and staff in latest methods, or supplementing your existing curriculum to give students the skills to work with big data and new computational methods.

Courses available 24/7

Learners with different schedules and abilities can go at their own pace.

Enrollment is easy

Learners sign up themselves using a group enrollment code.

Learning options to suit you

Personalized options include extra learner support or group analytics.

Price is based on your needs

You get a discount for 10 or more learners, which increases with more learners.

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Try for free

Introduction to Big Data for Social Scientists is a free one hour course that will demystify big data and explore how it is impacting social research. It is a great starting point for anyone interested in big data analytics, social science and computational methods. It also provides a strong foundation for those interested in going on to develop programming skills in either Python or R.

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white paper: Teaching data science online

Teaching social researchers to work with big data presents a unique challenge for institutions. Our white paper reviews the benefits of e-Learning when teaching social research methods and data science skills. Read the white paper to find out how your institution can best use e-Learning to support its pedagogic goals when teaching data science.

Download the free white paper

Testimonials

what our learners say

Featured

Ariel Quinio - Ontario Institute for Studies in Education at the University of Toronto

I enrolled in Practical Data Management with R as I continuously seek different ways of looking at and analyzing my research data, and I want to keep abreast of the current trends in data sciences. The instructor did an excellent job. As a teacher Matt Denny was detail-oriented, and employed a variety of teaching modalities including repetition to emphasize important aspects of the lesson, and illustration using examples to apply relevant concepts or procedures to follow. Most of all. I liked the aura of politeness in the way he talked throughout the course while explaining a complex topic. I think he has the qualities of a good teacher as evident during the concluding sections where he was able to inspire, motivate and encourage students to go beyond what this course has to offer.

Learner on Practical Data Management with R

I wish I had taken this course years ago when I started learning R. I'm much more confident now and I'm not even halfway through the course.

Thank You!

Gabby Resch - Doctoral researcher at the University of Toronto

I found the course to be a thorough, structured, and well-planned-out introduction to visualizing data in the R ecosystem. Martin, the course instructor, developed appropriate examples that spanned a range of social science data visualization contexts. His detailed explanations of various components in the R ecosystem would be helpful for beginners and novices alike. Overall, this is a fantastic introduction to data visualization concepts in social science research.

Daniel Edmondson - PhD Applied Linguistics candidate at the University of Nottingham

I’m currently taking the SAGE Campus ‘Introduction to Python for Social Scientists’ course. I’m two lessons into the second module and I’m already wishing I learned this months ago. Honestly, if you work with data, beg your institutions for access to this course

Mark Dobeck - Professor at Cleveland State University

The courses are delivered by highly qualified and competent instructors. The courses are well-organized and offer considerable value to students. The price of the courses is very economical, especially when considering the benefits. I recommend the SAGE Campus course offerings to students, academics, and working professionals.

Dr. Jason Jackson - Director of Jackson Research Institute, Professor at Purdue University Global

While we cannot predict the future, we can prepare for it. I know the knowledge gained in Python continues to help me find opportunities to learn, and as a leader, solve complex problems—independent of how the future actually plays out. I would encourage social scientists, university professors, and business leaders to consider adding this emerging skillset to their own professional toolkit.

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Courses

Introduction to Python for Social Scientists

299.00

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Fundamentals of Quantitative Text Analysis for Social Scientists

299.00

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Introduction to Data Visualisation

399.00

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Introduction to R for Social Scientists

299.00

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Interactive Visualization with R for Social Scientists

299.00

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Practical Data Management with R for Social Scientists

299.00

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Introduction to Text Mining for Social Scientists

299.00

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Intermediate Python Skills for Social Scientists

299.00

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Collecting Social Media Data

99.00

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Research Design in Social Data Science

199.00

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