Apart from signing up for a course, it is important to go that extra mile and continue learning. Putting in extra efforts from your end will be the separating factor between you and the rest of the crowd. Take a look at Salil Trehan’s journey with Great Learning’s PGP Data Science and Engineering (PGP DSE) Course.
Tell us about your professional background.
Being a very ordinary person from an ordinary set of colleges and some very common set of qualifications, I started my journey in this program with a steady learning attitude. I am currently working at Nielsen as a Research Executive(Micro Market & Economics), Big Data.
Being curious, proactive, and stubborn to understand what Machine Learning can do for a business, I began my learning through the basics – Python Programming, NumPy, Pandas, Visualization, and then MySQL.
The secret to performing well in this domain is– Loads of Practice at HackerRank & Datacamp.
With concepts like EDA & Machine Learning, I continued practicing upon various Datasets from Kaggle, UCI Repository, and NASA’s data on different domains. Competing at websites like Kaggle, and MachineHack pushed me to learn different concepts and helped me develop my own Chemical-X to compete globally.
Advice to future PGP-DSE aspirants.
Most students didn’t give weightage to Tableau as the final residency, but visualizing datasets on Tableau helped me open up my mind towards the business sense of viewing datasets. My advice to future PGP DSE aspirants is to see what others don’t, develop that extra edge which separates you from the others. Learn what you can from what you have. If you don’t do that with interest, you’re bound to fail.
In the end, I was able to secure a 250% salary hike due to the extra efforts I had put in to separate myself from the class. Be different and go that extra mile.
For more such success stories, watch this space.3