NEED FOR DATA SCIENCE
A few years ago, the problem was storing a large amount of big data. Now that problem is solved, and the current dilemma is how to make sense of it. And the answer is data science and analysis.
It is used for various purposes:
For predictive analysis of future patterns.
To understand a customer's ideas.
Optimizing business processes.
For medical and public health purposes.
Also for personal use, such as bracelets and smart watches that collect data provide information about an individual's health.
For defense and law purposes.
For financial trading and analysis, to find out the current trend of investment and returns.
NEED FOR DATA SCIENTIST:
Now that we have big data, data science tools, and the purpose specified for us. The only need is to have qualified, hard-working data, scientists who have the ability to solve problems. To become a successful scientist, you don't necessarily need to have a Ph.D. One should only have some mathematical and technological background and the rest can be learned. But one of the most important things is having a strong strategic mind and insight. Because a data scientist will not only create a data product from raw information, but should also be able to provide solutions to core business problems. Mahdi Mamouri
TO BECOME A DATA SCIENTIST:
If you aspire to become a data scientist, the basic skills will include:
Mathematical knowledge
Technical and software knowledge
Knowledge of data science tools and algorithms.
Strategic vision.
All this can be learned, but the most important thing will be your mentality. A data scientist must have the intellectual curiosity to know about the problem. Data scientists must be very inquisitive to see new problems, ask new questions, and try to find solutions to them.
GET THE CERTIFICATION:
It is a field where one must be trained and practiced. Without proper training and application skills, one cannot succeed as a data scientist. There is much to learn about various data science tools and techniques. Earning the certification will not only help you hone your skills, but will also confirm your future as a data scientist.
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