Data Science Myths That You Should Stop Believing in Now

 Data science is gaining a lot of limelight lately. Students who want to make it big in the domain of AI should enrol themselves for the B tech admission 2020. Data scientists are involved in solving vexing issues with the combination of modelling, computer science, analytics, statistics, and maths along with sound business acumen.

Innovation, creativity, and problem-solving are the pillars of this subject. Students who have these qualities can become a successful data scientist in the future. Just like any other booming industry, data science is also continuously hounded by a couple of myths.

Let us have a look at the top myths that are doing rounds in the market and debunk them.


●       Ph. D is a must for a data scientist – Having a Ph.D is a great thing for data science students, but it is not a mandate in all the subjects. For instance, students of Applied Data Science can easily get a good job without a Ph. D. But if you are aiming to bag a position in Research Role, Ph. D is a must. 

●       Data Science is all about Science – It is one of the most baseless myths doing rounds in the market. Data science is a combination of science and art. The art thing is all about creative thinking, devising potential solutions, and assessing its benefits. Whereas, the science part deals with verifying the data, writing codes, and expressing data in scientific terms. Data science is all about practice as a whole.

●       Data Science is all about making Predictions – This is again a half-baked truth. Although prediction is a crucial part of data science, it is much more than that. Business understanding, data mining, data cleaning, data exploration, data visualisation, feature engineering, and predictive modelling are also a part of this stream.

●       Data Scientists are becoming rare – There are thousands of students out there who aim to become a successful data scientist. They are pursuing relevant courses from the best placement college in Rajasthan. Companies who look forward to hiring dynamic data scientists train them further as per the existing industry standards. So, there is no truth in this myth.

These were some of the common myths about data science that are hampering the confidence and enthusiasm of the students. All these myths are busted and you should stop believing in them now. Remember, the sky is the limit for a deserving candidate. Make your every effort count.


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