If you want to become a data scientist, there are many things that are necessary. Along with hard work and skills a good training institute. Knowledge regarding various components of data science like R and python can be included. One can learn one of them and even both. Online training regarding data science is also provided. One can take the advantage of that.

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Rajeev Sharma
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#GlobalAIandDataScience
#GlobalDataScience

Data scientists come from a wide range of educational backgrounds, but the majority of them will have technical schooling of some kind. Data science degrees include a wide range of computer-related majors, but it could also include areas of math and statistics.  and you must learn python and R language

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rajesh kumar
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Data Science is a broad area and it is a journey to become data scientist. There are various dimensions to it. Some of the areas that are critical and are needed as follows:

1) Skills part -
a) Background and Foundation of Math and Statistics, Probability
b) Programming knowledge (R, Python etc)
c) Industry / Domain knowledge for one or multiple area
d) Story telling ability (End to End) / Data Visualisation / Exploratory Data Analysis - this is data understanding part in CRISP-DM mostly
e) Work with data - data munging, data wrangling, feature engineering - this is the data preparation part in CRISP-DM mostly
f) Fundamentals around Big Data

2) Professional Experience part -
a) Applying skills in a project or multiple projects
b) Lessons learnt and continuous improvement from areas experienced

3) Professional Development / Giveback part -
a) Mentoring
b) Thought leadership using the experience gathered

Of course, above is not an exhaustive list, but intent is to capture some important themes. 

Thanks

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Kamal
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I don't agree to the above idea of data science by the user above as data science is a technology which can be learned by both technical as well as non-technical background student. Thus if you also want to enhance your skills you can learn data science course with the help of different modules such as R programming, python, AI and many more. It is too easy to learn data science just with the basic knowledge of statistics and mathematics.

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Reema Paul
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