You can learn Big Data Analytics, and I would say it has a marvellous future. In the coming days, every business decisions would be based on data. We are generating a huge amount of data each day, and the companies require people to analyze these data so that they can stay one step ahead of their competitors.

Getting a job in Data Science is simple: you need to know the subject well (like a professional). Whenever any recruiter goes for an interview (I also go for recruitment for Data Science) they look for knowledge in the candidate, so that they can handle the clients properly.

The real challenge is most of the training institutes are having some fancy website and gorgeous marketing campaign. However, they will be teaching you very basic of the analytics rather than going into the real depth, which is actually needed in the industry. However, you couldn’t possibly say in your interview that something wasn’t covered in the syllabus. Usually, they also charge quite a hefty amount ranging from 40k-80k for the modules.

Check if your trainer is a working professional in the analytics domain. Don’t try to enrol yourself in all the modules they try to sell you. Usually, enrol yourself maximum 1–2 software (SAS or R or Python). First, you should be learning the coding part of the software (all types of data handling part). Then you should be learning the machine learning techniques - at least 4–6 of them. Reasonable course fees should be around 25K - 30K.

One more caveat is beware of the technologies what you are learning. If you are learning something like click view or Spotfire (which adds lower value since they are visualization software) or if you learn MS Access or VBA (which adds almost 0 value since these are old technologies and are hardly used now). SAS, Python and R are presently dominating the market along with machine learning and deep learning.