How to Become a Data Scientist Infographic – Start Your Career

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Do you want to be a data scientist? “The world is one Big Data problem’ – Andrew McAfee. In this world of data, reasons to want to become a Data Scientist could be many, ranging from money and honor to a quest for solving problems and making the world a better place.

If you truly long to be one of them and trust you have what it takes to be one, then this post “Data Scientist Infographic” is for you.

Data Scientist Infographic

Data Scientist Infographic

Here are some questions to ask yourself before proceeding:

  • Am I intrigued by statistics and programming?
  • Am I willing to constantly upskill?
  • Do I really enjoy solving problems?
  • If data science wasn’t an extremely popular and lucrative option, would I still go for it?

Next, you must satisfy some prerequisites before you can get used to calling yourself a data scientist. These include technical skills like maths and statistics, languages like Python and Scala, database skills, and experience with Big Data tools and Machine Learning techniques.

You will also need to hone non-technical skills like curiosity and communication skills and adopt a strong business acumen. This infographic goes on to discuss the qualities a good data scientist must possess.

Then, you should strengthen your basics by reading books on Data Science, and give yourself an edge by going for one or more industry-recognized certifications. Now, it’s time to apply for jobs to both- put to test your newly-acquired skills and get started in the career you have chosen.

Your future is in your hands, and this is the time to turn it around. Follow these steps and pave yourself a path to victory; be the one to write your own story. We have a series of Data Science tutorials, you can refer them to get success in your life.

The DataFlair family wishes you all the luck in the world.

Got more tips for this “Data Scientist Infographic”? Tell us in the comments and help others like you!

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10 Responses

  1. Pratik Patil says:

    Can computer engii freshers are eligible for data science course?

    • DataFlair Team says:

      Hello Pratik,
      Thanks for the comment. The eligibility in Data Science is determined through your sheer curiosity. Data Science is a quantitative subject that requires the knowledge of computer science, statistics and mathematics. Since you already have a background in CS, then you will require additional knowledge of stats and math to augment your data science skills.
      Please check our latest article on Top Data Science Skills. We hope it helps you!

  2. elysiumacademy says:

    Very energetic infographic!!! Keep Sharing

  3. Muraleedhar Gunjeri says:

    Hello sir, i’m elecronics and communication engineering and i learned python (pandas, numpy, matplotlib) , can I go for data science field?

    • DataFlair Team says:

      Hi Muraleedhar,
      Yes, you can go for Data Science field. Python is the key player in it. There are few more Data science skills, which are important prerequisties.
      Please refer to our Data Science Prerequisites article and get ready to dive into this field.

  4. Racheal Chapman says:

    To become a specialist you need:
    1 . Machine learning – Retrieving accuracy in all theoretical data

    2. Signal processing – Improving and analyzing the digital signals

    3. Data mining – Finding data which can be used to create predictable solutions

  5. NAVNEET SHARMA says:

    Nice article sir, but i have a query i am computer science engineer and MBA (International Business) and working with export firm and want to become a data scientist so please provide me the suggestion.

  6. Himanshu Sharma says:

    Can i embed this Infographic on my website Present Slide? I will be giving the credit to you.

  7. Nitesh Madhavi says:

    Can Digital marketer(Commerce Background) go for Data Science Course? If yes the which one is best suitable to be able to successful data scientist.

  8. Talha Afzal says:

    a data scientist is also a data analytics? means data analytics is in junior level than data scientist ?

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