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Coursera

Data Science Foundations

University of London via Coursera Specialization

Overview

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
- Offered by University of London and IBM. This course is primarily aimed at individuals who want to learn how Data Science is applied in the ... Enroll for free.

Course 2: What is Data Science?
- Offered by University of London and IBM. Do you want to know why data science has been labeled the sexiest profession of the 21st century? ... Enroll for free.

Course 3: Tools for Data Science
- Offered by University of London and IBM. In order to be successful in Data Science, you need to be skilled with using tools that Data ... Enroll for free.

Course 4: Problems, Algorithms and Flowcharts
- Offered by University of London and IBM. This course is the fourth of eight courses aiming to help you to become confident working with ... Enroll for free.

Course 5: Python for Data Science, AI & Development
- Offered by University of London and IBM. Kickstart your learning of Python with this beginner-friendly self-paced course taught by an ... Enroll for free.

Course 6: Statistics and Clustering in Python
- Offered by University of London and IBM. This course is the sixth of eight courses. This project provides an in-depth exploration of key ... Enroll for free.

Course 7: Data Science Project Capstone: Predicting Bicycle Rental
- Offered by University of London and IBM. This course is the seventh of eight. In this project, we will tackle a prediction problem: ... Enroll for free.

Course 8: Python Project for Data Science
- Offered by University of London and IBM. This mini-course is intended to for you to demonstrate foundational Python skills for working with ... Enroll for free.

Courses

Taught by

Aije Egwaikhide, Alex Aklson, Azim Hirjani, Joseph Santarcangelo, Rav Ahuja, Robert Zimmer, Romeo Kienzler and Svetlana Levitan

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