The Applied Data Science Journey
Explore the most comprehensive Data Science curriculum
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.”
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.”
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.”
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.”
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.
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.”
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.”
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’.”
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.”
Interested? We would love to discuss your learning objectives.
Learn more about our London Applied Data Science Bootcamp
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