
Great Learning Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 147 interview experiences · FREE TO READ
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30 roles · 147 reportsCandidate interview experiences
First-hand accounts from people who interviewed at Great Learning.
Data Scientist
We started with an AI proctored interview and an online assessment (OA). After that, there were 3 rounds. The first round was a technical and logical aptitude test. The second round was an interview, and the third was an HR interview. Each round was an elimination round. The OA and AI interview covered deep learning, transformers, ML concepts, and aptitude. The technical and logical round included some tough puzzles and a coding aptitude question where I had to describe the workflow and pseudocode on paper. Everything was graded, and marks were assigned based on resume, tests, and interviews.
- Machine Learning Metrics and also some questions based on resume
Research Analyst
So the selection process for the Research Analyst role at Great Learning was pretty detailed. First off, there were two assignments. One was to make a 5-10 minute video talking about any IT topic. The other was to put together a detailed Table of Contents for a Web Development course. After sending those in, the first interview was with a Content Department Manager to see if I was a good fit, checking my analytical thinking, how well I understood content, and if I could explain things clearly. Then, a second interview with a different manager, this one was to check both my technical knowledge and how I communicate. The last step was an in-person interview at their office. They kept checking my technical skills and communication throughout to make sure I was the right person for the job.
- Could you present on any IT topic for 5-10 minutes?
- Please create a comprehensive Table of Contents for a Web Development course.
- Could you walk me through your past projects?
Associate
Hr discussion and ops rounds check on stability, industry level understanding, process knowledge, sales experience, comprehension difficulties to generate sales, how to handle irate customers, all nothing related to your last experience.
- What makes you want to join our company?
Program Manager
The Great Learning interview process was tough but super smooth and easy to go through. First, there was an aptitude test, then an HR chat, and after that, two technical interviews. They kept me in the loop about each step, so I always knew what was coming. The tests were demanding, especially the technical parts, but the interviewers were really professional and helpful. I also liked how fast they got back to me with feedback after each round. It was a challenging process that made me bring my A-game, but it was structured so well it was simple to follow.
- Could you share some information about yourself that isn't on your resume?
- What motivates your interest in joining our company?
- Can you describe your key strengths and areas where you need improvement?
Great Learning Interview Questions
Quoted word for word from Great Learning interview reports.
“Given a DataFrame with column A containing a series from 1 to 10, provide the pandas syntax to extract the even numbers.”
Read reports →“Can the Adjusted R2 value ever exceed the R2 value?”
Read reports →“What is the F1-score, and why might it be preferred over precision or recall in certain situations?”
Read reports →“What is the general rule of thumb for determining if a dataset is imbalanced?”
Read reports →“Given two tables, A and B, both with two columns. In Table A, one column has categories with duplicate values, linked to a number in the second column. Table B has the same columns but the categories are unique, with added values for each unique category. Explain how to derive Table B from Table A using pandas.”
Read report →“If a dataset has imbalanced categories, what accuracy metric would you suggest using?”
Read report →“If the data is perfectly linear, is deep learning still a suitable approach?”
Read report →“In which scenarios would you use a Z-test, and in which would you use a T-test?”
Read report →“If you were to train a data model on an imbalanced dataset, how would you evaluate its performance on the validation set?”
Read report →Formats, difficulty and experience
Across all 147 Great Learning interview reports.