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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

2.8 Rounds average
Average Typical difficulty
79.6% Positive experience

Which role are you interviewing for?

30 roles · 147 reports

Candidate interview experiences

First-hand accounts from people who interviewed at Great Learning.

Showing 4 of 147
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Data Scientist

Analytics · nearly a year ago

Mid Difficult Positive experience Accept offer 3 rounds
Interview process
Technical screen Take home Technical screen Recruiter call Background check Offer
Interview formats
Technical Coding Behavioral

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.

Confirmed questions1 question
  • Machine Learning Metrics and also some questions based on resume
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Great Learning

Research Analyst

Research · a year ago

Mid Average Positive experience Accept offer 3 rounds
Interview process
Take home Recruiter call Onsite
Interview formats
Presentation Technical Behavioral

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.

Confirmed questions4 questions
  • 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?
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Great Learning

Associate

Sales · a year ago

Entry Difficult Negative experience No offer 2 rounds
Interview process
Recruiter call Background check
Interview formats
Behavioral Other

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.

Confirmed questions1 question
  • What makes you want to join our company?
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Great Learning

Program Manager

Operations · a year ago

Senior Difficult Positive experience Accept offer 4 rounds
Interview process
Take home Recruiter call Technical screen Technical screen
Interview formats
Technical Behavioral

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.

Confirmed questions3 questions
  • 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.

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What is the F1-score, and why might it be preferred over precision or recall in certain situations?

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What is the general rule of thumb for determining if a dataset is imbalanced?

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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.

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If a dataset has imbalanced categories, what accuracy metric would you suggest using?

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If the data is perfectly linear, is deep learning still a suitable approach?

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In which scenarios would you use a Z-test, and in which would you use a T-test?

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If you were to train a data model on an imbalanced dataset, how would you evaluate its performance on the validation set?

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Formats, difficulty and experience

Across all 147 Great Learning interview reports.

Interview formats

Behavioral 43.4%
Technical 28.8%
Presentation 11.7%
Case 8.4%
Coding 3.6%

Interview difficulty

Easy 15%
Average 58.5%
Difficult 26.5%

Candidate experience

Negative 12.2%
Positive 79.6%
Neutral 8.2%

Reports by job function

Sales 38
Operations 36
Other 19
Marketing 13
Analytics 13
Consulting 12