Any data scientist here please share your thoughts on learning it much more efficiently.l

1. SQL is the language of databases, so you'll eventually need it anyway, always worth learning. Between Python and R, I would of course lean towards Python. 2. SQL can be practiced at sqlzoo.net, while Python - I'd advise you to audit online courses at coursera.org - they have something better there - specific assignments that you do while learning. 3. For now, I'd focus on learning, not earning certificates. Take a look at my code below to find links to recommendable sources: (scroll down for free online courses) https://code.sololearn.com/W2nvcMqTRi4q/?ref=app

You should not be discouraged. This field is *hard* to grasp at first. Anything particular you are having troubles with?

Yeah, Thank you very much for answering. 1. Picking a language: I have been learning Python, R and SQL simultaneously which of these should I prefer as in order to become a good data scientist. 2. Practicing: some sites that you know that I can practice each skill. 3. Financial: I do not save much (as I just started earning) to pay for an institution fees so is it necessary to get certified from somewhere to get a job in this field. Sorry for the long post.

Thanks, always appreciate people like you.

Many companies look for someone with 3, 5 or 10 years of experience, then start now...