You can score a 99%ile by attempting just 55% of the questions!
The easiest QA questions are the last 5 questions of the section
There are some sitters in each even the most seemingly difficult DI sets
You would have always been advised by your mentors to analyze each mock that you take. However, an analysis like that can only share with you the story of how you performed and how you could have performed.
Just imagine, if you could analyze the actual CAT the same way in which you analyze your mocks? This is now possible as our team of data scientists bring you in-depth analysis of the actual attempts of CAT 2018!
In our CAT insights, we cover the most important data points that will open your eyes towards what it takes to crack an exam like CAT.
Mr Sujit, founder of CL Educate and head of the technology and innovation efforts in CL for 18 years. He's a hands-on technologist, loves coding and Data Science initiatives in CL. Mr Sujit is known for developing many data driven models for business and out of which one was patented.
Dr Subhrajit Bhattacharya holds a PhD from Duke University with over 25 years of industry experience. He has extensively worked in major domains, like Machine Learning, Big Data, Digital Twin Framework, and much more:
Keep yourself updated with the latest news and insights related to CAT 2019 with CL's CAT Page for Exam Day & beyond.
Watch GP, Arkss, Shivku, Gejo and GB unfold what CAT 2019 was like in Slot 1 and Slot 2 webinars
Detailed CAT 2019 section-wise analysis with our predicted cutoffs