What is a Career in Data Science?


A Career in Data Science has always intrigued me. Internet is brimming with pages on How to get into Data Science, while I want to first understand What is a Career in Data Science. In my quest to learn more about a Career in Data Science, I found this amazing page: https://www.lifepage.in/career/20181130-0008/Science/Statistics/Career-in-Data-Science/english

Aayushi Verma's professional point of view!

Aayushi Verma is an experienced professional with 5 years in Data Science. Aayushi Verma has worked in Data Science as Data Scientist in EdGE Networks Pvt Ltd. In Aayushi Verma's own words, this is how Aayushi Verma got into Data Science: "After completing my M Tech in Data Analytics, I joined a start-up in Delhi as a Data Scientist. After that I have worked for few companies as a Data Scientist, in 2018, I joined EdGE Networks Pvt Ltd as Data Scientist. I have also published few Research Papers in Journals like IEEE & Springer."

Career Video on Data Science

In a video, Aayushi Verma has talked about various aspects of a Career in Data Science. Aayushi Verma started by explaining Data Science as: "Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems. At the core is data. Troves of raw information keep streaming in and stored in enterprise data warehouses as there is much to learn by mining it." It was an amazing video with great information.


In this video Education was discussed as theoretical topics needed to excel at Data Science, and not as Qualifications needed to enter Data Science. Aayushi Verma touches upon these in the Education section of the Video:
  • Domain Knowledge
  • Programming Languages
  • Mathematics
90% success in real life depends on Skills. It is crucial to understand these.
Aayushi Verma then explains why these Skills are essential for a Career in Data Science:
  • Data Exploration
  • Analytical & Logical Thinking
  • Reading
It is important to get an understanding of the Positives of this Career.
Aayushi Verma believes that the following are some of the Positives of a Career in Data Science:
  • Interesting Job
  • Positive Social Impact
  • Huge Demand
  • High Paying Profession
It is important that one develops a fair understanding of the Challenges of this Career.
And, Aayushi Verma believes that one needs to prepare for following Challenges of a Career in Data Science:
  • Interpretability Issues
  • High Expectations
  • Lack of High Quality Data

In the final section of the video Aayushi Verma talks about How a day goes in a Career in Data Science. This video is by far the best video on a Career in Data Science, that I have ever come across. To see the full Talk, one needs to install the LifePage Career Talks App. Here is a direct deep link of the Video: https://lifepage.app.link/20181130-0008

Career Counseling 2.0

This video on a Career in Data Science opened my eyes to a completely new perspective and got me interested in LifePage. Career Counseling has a new meaning with LifePage. LifePage is the world’s most evolved Career Platform. You can use LifePage to find your Career Objective. LifePage also offers the most comprehensive Career Planning process. You can use LifePage to explore more than a thousand Career Options. LifePage has the most exhaustive Career List. It is truly Career Counseling 2.0 I think LifePage is doing an amazing job of connecting real professionals with Career seekers. It is truly an amazing innovation in the area of Career Counseling. You can learn more about LifePage on: https://www.lifepage.in

Similar Career List on LifePage

I continued with my research on LifePage and thoroughly studied these links to gain more perspective:


Information about other Career Options

There are innumerable Career options in the world and these are definitely worth exploring:



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Another very interesting website is created by the leading architecture, interior, landscape design consulting practice in Dehradun A K Associates: http://www.aka.net.in

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