Building a career in Data Science can prove to be extremely beneficial. Recruiters are looking to hire individuals with Data Science skills, and there is a great scope to build your career in this domain. Let us look at Chinmay’s journey with Great Learning’s PGP Data Science and Engineering Course. (Now this program has become Data Science Course with Gen AI program)
Tell us about your professional background.
Before joining Great Learning’s PGP Data Science and Engineering, I worked at Reliance Jio as an Assistant Manager. I worked there for two years and seven months. Currently, I am working as a Senior Data Analyst at Eclerx.
Why Great Learning?
When I decided to venture into Data Science and upskill myself, I noticed that several institutions were offering online courses. However, not many were offering an offline course. I wanted to join an offline program since it would be easier for me to clear any doubts and get my queries answered quickly. After some research, I decided to opt for Great Learning.
Also Read: 100+ Data Science Interview Questions.
Why did you choose to upskill?
For the two years that I was working, I felt that my career growth was quite stagnant. If I wanted to grow in my career, it was necessary to upskill and keep up with the changing market. This is why I decided to upskill in the field of Data Science.
What did you like the most about the course?
One of the best parts of the course was the faculty. They are highly knowledgeable and were able to solve all my queries within no time. When COVID-19 hit, and we were forced to enter the lockdown situation, I was worried that we might not be able to finish the exams. However, the exams were conducted online, and I was able to enter the placements pool soon after that. The course curriculum was structured well, and it helped me start my Data Science journey in the right manner.
Advice to future PGP- DSE aspirants.
To build a career in Data Science, you need to be enthusiastic about it. You must have the interest to learn more about the concepts, tools and techniques. There is no prior knowledge required for you to enter the field of Data Science.
For more such success stories, watch this space.
