| | Anonymous | The Bootcamp was overall good, and provided a well-rounded view of the Data Science (specifically Machine Learning) application space. You are definitely expected to either know some coding already or to catch up very fast, but at the same time the course doesn't go too deeply into programming skills (perhaps that's not even possible in such a short period).
The machine learning part focuses a lot on supervised (and a few unsupervised) algorithms, with applications both in R and Python. Note that optimization, experiment design and advanced topics in Statistics are not covered. So, if you're looking for something heavy on Maths and Stats, this is probably not for you.
What I probably enjoyed the most was that we got to work on real data sets and collaborate with data scientists from actual companies. What I didn't like on the other hand, is that because the data is proprietary, you can't publish your projects on GitHub and therefore build a small portfolio. Effectively, if you want to use the bootcamp to find a job, it is quite skewed to the companies/ connections that IE has because you won't be able to show anything you produced in the course outside of this cycle.
Overall I recommend the course and I think it was a good investment for me. But I would only recommend it to others if they can get a scholarship (i.e. 14k I think is too much) |
