Even though it's still hard to agree on a precise definition of data science or the role of a data scientist, the interest in the field keeps on rising: numerous blogs prescribe how to "really" learn data science, hot topics in forums such as Quora deal with discussions that relate to "becoming a data scientist". Naturally, these recommendations and discussions boil down to two essential questions: what is data science exactly and how can one learn it? Leaving the first question for what it is at the moment, DataCamp wanted to focus on the second one in this post. Because maybe right now, you don't have the need to hear yet another definition of what data science is and what it can mean to you. Maybe you want to learn about it and get your first job or to switch your career. You also don't want just another guide that lists 50 resources to check out. You want a list of resources you possibly haven't considered yet! With the popularity of the field comes a whole variety of recommendations from all sides: beginners as well as experts, all with different backgrounds, give their view on what it means to actually learn data science. In the end, considering all these resources and how they might fit your learning style is the key to learning data science. It's about puzzling together the existing resources and making them fit for you. That's why DataCamp presents to you the mystic square of data science learning resources: we already hand you some pieces of the puzzle that you can use to make your learning complete. The best thing about this mystic square is that it contains resources that you might not have considered. That means that the mystic square includes resources that are all complimentary to the ones that you have already encountered and registered to, as learning data science doesn't limit itself to just one resource. Even though the initial search interest for projects was already high to begin with, the demand for data science projects has been particularly high this year. Many users are looking to put their knowledge into practice or to advance their skills even further.
Nov-28-2016, 10:10:15 GMT