Is Datascience Overhyped?

Yes, Data Science is overrated. Data science is a “concept to unify statistics , data analysis , informatics , and their related methods” in order to “understand and analyze actual phenomena” with data.

Is data science a good career option?

Data science might be ‘the sexiest job of the 21st century’ with fat salaries, but that does not mean it is the right career choice for you. As per AIM Research, 1,400 data science professionals working in India are paid more than INR 1 crore. Data science is about defining and solving business problems.

Is it worth to be a data scientist?

Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.

Is a data science career easy or hard?

It’s really important to clarify these questions because many articles on the topic imply that a data science career is an easy way to become rich, happy and smart for good. In fact, it’s not easy at all; it requires continuous learning and practicing of difficult and complex concepts, technically during your entire career.

Where can I work as a data scientist?

As a data scientist you can easily find yourself at an IT startup, at a logistics company, at a trading company or wherever. And every time you change domain (because you go to another company), you have to pick up the domain knowledge…

What subjects do you need to study to become a data scientist?

Needless to say, if you are looking for a data science career, you will work a lot with numbers. So you will have to enjoy mathematics and statistics. I see mathematical and statistical calculations as sudoku or crossword puzzles.

Can I learn data science without losing motivation?

Simply put: if you want to learn data science, you can learn data science. I’ve found that one can only work on a specific skill without losing motivation if she enjoys the process of learning and practicing.