As a programmer you’re spoilt for choice when it comes to programming languages. You can choose from any of a dozen really powerful languages to get the job done. When it comes to Data Science programming though, there are really only 2 choices – Python and R. Sure, there are lots of other languages that are useful and can be used to…
If you’re making the switch to Data Science, you might have come from a programming route or from science. It would be all too easy to learn a few new skills in data handling and machine learning and neglect statistics. After all, many of the new breed of Data Scientists are declaring stats to be dead. They are…
Artificial Intelligence, Machine Learning and Deep Learning are all the rage in the press these days, and if you want to be a good Data Scientist you’re going to need more than just a passing understanding of what they are and what you can do with them. They’ve been around since the 1970s, and until recently have only really been…
Earlier this year R was overtaken by Python as the most used programming language for Data Science. I guess that R is dead then. Absolutely not! R is still a superb language for Data Science, and while it may not be as easy to learn as Python or as quick, if you choose R you can enjoy these benefits:Loads of Third-Party packagesUnmatched graphics…
If you’re into R or Python, this months FREE eBooks should really hit the spot. They’re really proving to be very popular. On the other hand, maybe you’re already an accomplished Data Science programmer and you’re looking to improve your mathematics skills. If so, how about a book about differential equations? We’ve got one of those…
If you’ve been following our blog for a while you’ll know that every month we produce a blog post where we showcase and review 3 FREE Data Science eBooks that we’ve found out there on the web. We’ve been doing this for quite a long time now and we’ve built up a sizeable collection of links…