Data Science Foundations
About this course
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!
90/100
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- Who stands behind it
- 35/35
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- 16/20
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What you'll learn
- Apply statistical methods to analyze data
- Write code to solve data science problems
- Use IBM's data science tools for practical analysis
- Apply computational thinking to data problems
- Build and evaluate machine learning models
- Complete a capstone project demonstrating data science skills
Course objectives
- Build foundational knowledge in data science theory and practice
- Gain practical experience with industry-standard data science tools
- Develop skills valued in data-rich work environments
- Create portfolio projects for job interviews
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