Steps to Become a Data Scientist

Data Science has become one of the most demanded jobs in today’s digital world. “Every organization is increasingly realizing that in order to maximize their benefit they required the magic of data science”. And here the role of Data Scientist comes into play, they deals with the data in order to assist companies for better decision making, promotional offers and predictive analytics for any business.

“The Goal is to turn data into information, and information into Insights”

Go through these steps to achieve your dream job-

First: Ask the Question to yourself – Do I really enjoy solving problems? Am I intrigued by statistics and programming? Am I willing to constantly upskills? If answer of these questions is yes that mark my word you will become a proficient data scientist.

Second: Make sure you have a Qualifying Degree because data science is a highly quantitative field that requires a higher degree. According to a research – 88% of the Data Scientists have a Master Degree and 46% have PhDs.

Third: To start your career as data scientist you must possess technical skills as well as non-techincal skills mentioned below

  • Learn statistics, probability and mathematical analysis- Some of the important topics you need to master as a data scientist are: Descriptive and Inferential Statistics, Linear Algebra, Calculus, Discrete Math, and Optimization Theory.
  • Good Knowledge of Programming language- Programming is the most important skills, You must be skilled at least one programming language. Some of the essential programming languages and tools that you must know as a data scientist are-
    • Python: It is the first choice of data scientist because of its versatility, scalability and code-readability. The best part about python is, it has amazing libraries such as – Pandas, Numpy, Matplotlib, SciPy, scikit-learn etc. If you haven’t yet started with Python I suggest you to take a tour to

      . Or if you are

    • R: R is one of the programming languages that provide an intensive environment for you to analyze, process, transform and visualize information. If you are looking to take a plunge into this career you can learn R for free here-


  • Business and Domain Knowledge- As a data scientist you are going to assist your organization for making smarter decisions and to predict outcomes. hence you should have a good business knowledge and predictive analytics skills.
  • Excellent Communication Skills-Communication skills is important as data scientist. Read the best books for data science like- Data science for business, Doing Data Science , introducing data science, etc.

Fourth: Go for Data science certifications- certifications are proof of your skills. Some of the top data science certifications are-

  • SAS Certified Data Scientist
  • Microsoft Certified Azure Data Scientist Associate
  • Data Science Certificate – Harvard Extension School

Fifth: Work on a project of your own- As a newbie It is essential to work on Projects of your own in order to become an Expert! Once you are good in theory start practising data science real project. Refer my previous answer here you will find some best data science projects with source code – Anurag Pandey’s answer to What are some good data science projects?

Sixth: Apply for job – This is the final step toward becoming a data scientist. Apply for job and crack the data science interviews. Below I have also shared some responsibilities of a Data Scientist.

  • Perform exploratory data analysis
  • Process, cleanse, and verify the integrity of data
  • Identify trends in data and predictions
  • Generate insights using machine learning techniques.

So these were the 6 steps that will help you the same way it helped me to achieve my dream job.

Hope this Helps you!! Happy Learning 😉

Author: Aditya Bhuyan

I am an IT Professional with close to two decades of experience. I mostly work in open source application development and cloud technologies. I have expertise in Java, Spring and Cloud Foundry.

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