Overview
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Nearly one in four job postings in the US alone require some data science skills and employers are paying up to 14% more for those skills. (Report : ExcelinEd & the Burning Glass Institute).
This powerful specialisation from the University of London and IBM gives you the perfect academic and industry-informed practical introduction to data science. You get:
- Progress transfer for the University of London’s BSc in Computer Science
- The foundational skills and knowledge you need to get a job in a data-rich environment.
During this specialisation, you’ll be introduced to data science, statistics, programming, computational thinking, machine learning, and more. You’ll discover the role of data science in today’s data-driven world. Plus, you’ll get hands-on using IBM’s data science tools, giving you practical experience to talk about in interviews.
Half the teaching is provided by Goldsmiths, University of London, giving you a strong academic foundation. The other half, designed by IBM, provides real-world professional insight supported by practical projects and a capstone project for your resume.
The “Problems and Algorithms in Data Science” course is a great preview of the BSc Computer Science degree with the opportunity to roll your progress into the degree, if you successfully apply and register.
If you’re looking for a solid, practical understanding of data science that unlocks academic and career opportunities, ENROLL today!
Syllabus
- Course 1: The Data Science Profession – Student View
- Course 2: What is Data Science?
- Course 3: Tools for Data Science
- Course 4: Problems, Algorithms and Flowcharts
- Course 5: Python for Data Science, AI & Development
- Course 6: Statistics and Clustering in Python
- Course 7: Data Science Project Capstone: Predicting Bicycle Rental
- Course 8: Python Project for Data Science
Taught by
Aije Egwaikhide, Alex Aklson, Azim Hirjani, Joseph Santarcangelo, Maureen McElaney, Rav Ahuja, Robert Zimmer, Romeo Kienzler and Svetlana Levitan