Data Analytics placements are coming up and I’m scared about DSA — how should I actually prepare?

I’m currently sitting for campus placements, and my target field is Data Analytics.

The thing that’s stressing me out is DSA.

Almost every company’s OA seems to have DSA questions. Honestly, I can sometimes get through the OA by taking shortcuts/cheating, but I know that’s not going to help me in the long run because the technical interview comes next — and they ask DSA again.

And this is where I feel completely stuck.

I’ve studied DSA before, but I have a really hard time remembering everything. I’ll understand a topic, solve a few questions, and then after some time I forget the approach or get confused about which data structure/algorithm to use.

At the same time, since I’m targeting Data Analytics, I’m also supposed to prepare:

• SQL
• Python
• Excel
• Statistics
• Power BI/Tableau
• Projects
• Basic ML
• And now DSA 😭

I’m honestly overwhelmed and scared that I’m preparing for everything but becoming good at nothing.

For people who have already gone through campus placements, especially in Data Analytics/Business Analytics:

1. How much DSA should I realistically prepare?
2. Which DSA topics are absolutely necessary for technical interviews?
3. How do you remember DSA patterns instead of just memorizing solutions?
4. Should I focus more on SQL/Python/Statistics/projects since my target role is Data Analytics?
5. What would you do if you had only 2–3 months left before placements?

I’m not looking for a “just practice LeetCode every day” answer. 😭
I genuinely want to know how to prioritize everything without burning myself out.

And one more thing — if anyone here works in Data Analytics/Data/Tech and knows of any entry-level opportunities, I’d really appreciate a referral or even just a lead. I’m actively looking and would be happy to share my resume/LinkedIn in DM.

Any advice, guidance, referrals, or leads would genuinely mean a lot. ❤️