I believe we'll see a lot more vetting and systematized descriptions of the different types of data scientists (math-software, math-domain knowledge, domain knowledge-software, unicorn). We'll also likely see progress towards topological data analysis and analysis tools from fields like differential and algebraic topology with respect to algorithms and general methods in the field of data science. I guess that in ten years we’ll have had a massive influx of people that studied it for the money rather than passion and are now struggling to find work, and we’ll have seen a common acceptance by the business community that it is significant and should be taught to all graduates rather than outsourced to specialists. If you want a detailed explanation of Data Science then do check out Data Science tutorial which will help you in understanding Data Science.
You can get a hands-on project by referring to Data Science online course which will teach you Data Science from scratch to advance.
And if you are more into videos then do check out the following video tutorial which will help you in mastering in the field of Data Science:
Back