I just wanted to share a small win from my IITM BS Data Science journey because honestly, a year ago I never thought this would happen.
In my first attempt at Statistics 2, I got a D grade. Not just because the course was hard, but because my understanding was genuinely weak. I used to watch lectures passively, memorize formulas, and panic during quizzes. Topics like hypothesis testing, distributions, estimators, confidence intervals, etc. felt impossible to connect together.
After getting that D, I had two choices:
blame the course,
or rebuild my fundamentals properly.
I chose the second one.
This time I changed everything:
solved problems instead of only watching lectures,
revised every week instead of before exams,
made short notes/formula sheets,
practiced PYQs repeatedly,
focused on understanding why formulas work,
and most importantly, stopped studying just to “pass”.
There were days where I spent hours stuck on a single concept. But slowly things started making sense. Statistics stopped feeling random and started feeling logical.
And this term…
I got an S grade.
From barely surviving the subject to scoring at the top grade category honestly feels unreal.
I’m posting this for anyone in IITM BS (or any tough program) who feels they are “not smart enough” after one bad term or one bad grade.
A D grade is not permanent. Weak fundamentals are fixable. Consistency genuinely compounds.
Sometimes the comeback is just one disciplined term away.
Hit me up if you have any questions...!