Essentials of Computer Science, Probability and Statistics
"I’m coming away from this weekend thinking about some of the things we have missed when developing solutions in my team, and how we can look at the problems differently."
Rupert Prescot, Product Manager
EDA, Feature Engineering and Unsupervised Learning
"You learn the theory, try it out in Python to make sure you know how to apply techniques, then the homeworks provide the opportunity to really go in depth. I think it’s great."
David Illes, Vice President
Supervised and Semi-Supervised Learning
“We’re actually doing things practically through projects - which I think i really good. Especially the last project which was a Kaggle style competition, where we had implement and evaluate our model against the tests.”
Freddie Odukomaiya, Analytics Advisor
Regression Models and Time‑Series
"I most enjoyed working on regressions. It’s an area I have not been involved with in my company, but by learning the techniques I have a better understanding of these models and can start using them myself as it’s so relevant.”
Jan Cuppens, Business Intelligence
Ensemble Models, SVM's and Cambridge Formal Dinner
"A nice evening spent with some prominent players in the industry. We had a great time networking and had some very interesting discussions happening over the dinner table while being catered with good food and wine.
Nargess Dadkhah, Specifications Account Manager
Cloud Computing and Databases
“The biggest value in the course is the communication. You get to see different approaches to data science problems which is extremely useful, as well as push your code to a git lab repository where you get a an automated evaluation and feedback.”
Dmitriy Podkopaev, Compliance Manager
Big Data Systems
“Today was the eureka moment, bringing together the prediction and modelling we have learned about to apply these algorithms at scale, on a real-world distributed architecture.”
Gian Bombardieri, Management Consultant
Neural Networks and Deep Learning
“We’ve covered RNN’s and CNN’s, which are cutting edge projects and it’s great to get them up an running to classify images, turn paramedics and get understanding of how they work, going beyond the ‘black box’.”
Bradley Barnes, Investment Performance
Natural Language Processing
"The whole course was structured really well and as we come to the end, everything now makes sense. I’m really excited to start the final round - the capstone projects."
Mattias Franchetto, Data Scientist