4 answers
Bijan’s Answer
Data Science is very much an art of story telling. You need to be proficient in the technical side of Data Science ie getting familiar with R & Python, leveraging modules like pandas, matplotlib, etc. but also you need to tell the story of the data to non-technical audience and c level suite. Like others have said, don't underestimate the math side of things which are critical. I would recommend leveraging any free resources to develop your skills. Elon Musk has said that you can learn anything you want for free. There is a significant amount of information on the internet.
--Bijan
Heine’s Answer
There are some very good courses from Coursera presented by universities like:
- Arizona State University
- Johns Hopkins University
- University of Illinois
- University of London
https://www.coursera.org/browse/data-science
Some of those trainings you can learn for free.
Edx has some very good trainings also from: Microsoft, IBM, MIT, Harvard.
https://www.edx.org/course/subject/data-science
I recommend you to check the content and the feedbacks. With that you can filter what is best for you.
Vijayanand’s Answer
All the answers by Heine & Mingze are relevant. I would also add that if you are in school, focusing on Math - Probability and Statistics and Linear Algebra, Vector Algebra is critical for being a good data scientist. Ofcourse, the programs on coursera.org are then building on top of that.
Good luck. this is a hot field, so the industry has a lot of demand for good data scientists.
Mingze’s Answer
Hi Taeseong, I am glad you are looking to learn data science since it has become a skill in demand. I have found the answer here on quora very true. I hope it will help you: https://qr.ae/TUfzd3
Mingze recommends the following next steps: