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!
TG
It is an excellent presentation. Everyone should take this course if he/she is thinking to become a data scientist
AB
This is a great course for anyone willing to start exploring the field of Data Science. It starts with basic definitions with proper examples that helps one understand this field with a greater ease!
RG
It's a good introductory course to know all the open-source tools available for data science. However, it will not teach you how to code for these tools apart from introducing a few basic lines.
TM
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
TM
The assignment is quite easy, you just need to understand the code and rewrite the code to finish the final assignmentThis is a very useful course to help us imagin basically what a DS do
JM
I learned a lot but that might not be a good indicator as I didn't know much about Data Science in the first place. It just fueled my need to know more about the subject so on my side, it's a winner.
FC
It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.
EH
It is a very valuable course that I have learned for the Python skillset. It contains some advanced methods. It helps me to build more confidence in using Python and understand the concept in general.
CH
I enjoyed this class. It has less lecture and more figuring things out. It was not in my original certificate program, and I decided to go upgrade and pick it up. Glad I did.
AP
I throughly enjoyed the course and the fact that everything was explained thoroughly. I always enjoyed Dr. White's personal experience with Data Science as well as other Data Scientists point of view.
MA
The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.
PK
it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.
Showing: 11 of 11
It is an excellent presentation. Everyone should take this course if he/she is thinking to become a data scientist
Overall, it's a good course that provides valuable insights. However, the sections on algorithms and K-clusters are poorly structured. An introductory course on data science should clearly explain the subject area and cover data science methodology - what does data science cosstt of? -, detailing how data scientists perform their work, skills that are relevant etc. Unfortunately, this course lacks a proper introduction to the discipline and is not well-organized pedagogically.
Good for beginers to understand the datascience
I really enjoyed this class, great start
جيدة ومفيدة.
excelente
excelent
Great
Its good
Good
It was a generally good course. However, the videos are mislabelled. I would have rated it higher if the videos were aligned to the titles.