• Post Graduate Program in Business Management with NMIMS
    Co-created with NMIMS
    4.8 out of 5 by 6071 learners
    4x Industry Demand
  • Post Graduate Program in Banking and Credit Underwriting
    4.7 out of 5 by 1376 learners
    12 X industry demand
  • Post Graduate Program In Finance And Accounting
    Co-created with Grant Thornton
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  • Professional Certification in FinTech
    Co-created with SP Jain School of Global Management
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  • Credit Risk and Underwriting Prodegree
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    4X industry demand
  • Banking And Wealth Management Bootcamp
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  • Post Graduate Program In Capital Markets
    4.7 out of 5 by 807 learners
    3X industry demand
  • Certified Investment Banking Operations Professional
    4.8 out of 5 by 7600 learners
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  • Post Graduate In New Age Banking
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    4X industry demand
  • Financial Analysis Prodegree
    Co-created with KPMG
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    4X industry demand

A data scientist is a new trend, and everyone has been working to find a stable place in it. It is ranked on the top as one of the hottest jobs in the Harvard business review. This guide will help you to know about the details of becoming a data scientist.

Who is a Data Scientist?

Before going towards the steps, it is mandatory to know what it means: Data scientists are people expert in analyzing data and have practical technical skills to tackle complex technical problems. They are a unique blend of a mathematician, computer scientist, and trend spotter.
They are professionals in both it and business sector, and that’s why they earn more than enough.

Also Read: What is the Role of a Data Scientist?

How to become one?

Learn statistics, ml, and algebra. A good data scientist can solve any problem better than a computer science engineer. They are well learned in the statistics and algebra. That is why deepening the knowledge about the mentioned subject is a fundamental need to start the journey as a data scientist.

Learn more about databases

The database is a frequent subject in computer science. A data scientist, however, makes you safer in securing your high paying job. This can only happen if a thorough study of databases is done.

Coding

It is a common part of the computer science world. It is, however, important to note that unless one becomes a better coder, they cannot become a data scientist. A data scientist has efficient experience in coding, and they have deep knowledge about it.

Practice and Work on Projects

Whosoever has achieved the status of becoming a data scientist; they will recommend you to start practising your coding and programming skills in real time. Practice makes a man perfect, and a data scientist is an ideal computer science engineer.

Practice on big data software

The data scientist has to deal with various non-segregated and segregated data. To make things easy, many data scientist use big data software such as MapReduce or Hadoop. Becoming an expert in using the software can help you in achieving your desired goal.

Become expert in data munging

It is a process in which raw data is further converted into easy to study and well-analyzed form. A data scientist is an expert in it. You have to practice more to become one.

Learn more!

It is one of the critical processes of becoming a data scientist. It is known to everyone that a computer scientist has to be updated about the new languages in the field. A data scientist is also the same. They have to be well learned in their area and become experts. This can happen by being in the association of like-minded people and developing the curiosity to learn more.

Development of Powerful Communication Skills

How will you communicate with people if you fear to go in front of an audience? Communication skills, therefore, most important part of any job profile. An expert data scientist has practical communication skills that separate them from others.

Apply for Jobs

After learning, practising and studying thoroughly, if you are sure of your talent and skills, you can start applying for the jobs by making an attractive portfolio.

Conclusion

Becoming a data scientist is not an easy task.
However, the situation can be tackled by using the process of learning and practice. The more you practice, the better you become. Even if you fail in interviews, you can still practice and learn. Who knows? You can be the next data scientist expert.
Related Article: What a Data Scientist Could Do?

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About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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