Mock Analysis Link​

Edit:

This community has helped me a lot while prepping for GATE CS. It's my time to give back to the community!

Edit 2:

Some random ahh tips:
- Bucket your subjects (Programming, Systems, Maths, Misc.)
- Bucket your attempts (Sure-Shot, 50-50, random guess)
- Analyze mocks, exactly know from which topic or which bucket you're bleeding marks
- Try to control the bleed, don't over attempt
- Don't take mocks too seriously, focus more on PYQs.
- Mocks are deliberately lengthier, harder and have more edge cases, to make you resilient against difficult papers.
- Prioritise Consistent patterns over Edge cases, Consistent patters are 95% of the paper
- Only go after aptitude if you're weak, else pyqs are more than enough.. i mean most of the students don't remember 8th std geometry..
- Don't pay for anything unless you can't get it for free
- Your own-notes are not a 100% necessary, there are handwritten notes on GitHub, if you're comfortable wjth those, you don't need your own.
- You can't complete 100% syllabus
- Focus on Converting your strong subjects to have 90%+ accuracy, and try to have over 30-40% accuracy in your weaker subjects..
- Always attempt MSQs for subjects you don't know if you have time
- Not every question in the exam was made to attempt, some were deliberately designed to ruin your confidence and waste your time
- Don't get too personally attached with a question, I mean its not your girlfriend, leave it if you can't solve it..
- MSQs are sometimes designed to have all 4 options to be correct or to have only 1 correct. Have proper reasoning before you eliminate or select an option.

I wanted to know good resources paid ones preferably, but open to all.

1. Need to cover all 3 subjects for GATE DA.

2. How is Dhulipala Venkata Sridhar for ai from geeks for geeks I currently have UA subscription with me.

3. How are the subject only courses by go classes for ML, DBMS and warehousing and AI, should I follow them and are those outdated in any sense? and are the video lectures old? Like do they add any new content?

Please drop your review and thoughts on where should I cover them, I need a strong GATE oriented course for these subjects.

I spoke to a person from a Tier-2 college last night, and what he told me about his GATE prep genuinely broke my heart. He’s not failing because of his brain. He’s failing because of the "Tier-2 Trap." A thread on the brutal reality of the "Average Indian Engineer." 👇.

• "Bhai, my college has 9 am to 5 pm attendance. By the time I reach my room, I’m mentally dead. But I still open Discrete Math because I know my college placements only offer 4LPA 'Support' roles."

​He’s fighting for his life while his college treats him like a school kid.

​

• The worst part? The isolation.

​While his friends are out at cafes or celebrating "Mass Recruiter" offers, he’s in a library corner solving 15-year-old PYQs. "They think I’m being arrogant or obsessed. I’m just scared of being stuck here forever."

• He told me the "IIT/IISc" dream feels like a fairy tale.

​"When I watch a topper interview, they talk about 'concepts' and 'research.' I’m just struggling to find one person in my hostel who knows what an Eigenvalue actually represents."

​He’s not just competing against the syllabus; he’s competing against his environment.

​

• "Is a 3-digit rank even possible for someone like me?" he asked.

​The system makes these kids feel like they are "late to the party" just because they didn't crack JEE at 17. He’s carrying the weight of his family’s expectations and his own "Tier-3/2" guilt every single day.

​

• To every Tier-2 student grinding in silence: Your struggle is 10x harder than any IITian who has the environment.

​The GATE score isn't just a number; it’s your exit ticket. Don't let the "system" convince you that you aren't built for the top.

​Stay strong. 🚀 #GATE2027 #EngineeringLife #BTech

As a dropper, how important is it to prepare for both GATE DA and GATE CSE? I’m interested in pursuing an M.Tech in AI, but since I’m taking a drop, I want to choose the best possible strategy.

Should I prepare for both exams, or focus only on GATE CSE? Is GATE CSE alone enough for getting into AI-related M.Tech programs?

Also, if I start preparing for GATE DA from October, is it realistically possible to crack it?

(i have completed c and ds)

please suggest me best Best Online Course For DA (AI ML) for 2028 Gate EXAM

https://preview.redd.it/m0nf0esjddyg1.png?width=1574&format=png&auto=webp&s=8a24577422d32796cbb6bdec945bf09c20b163bb

I purchased RBR’s GATE DA course, and honestly this looks extremely misleading.

Inside the course, I can still see Probability content that appears to be Jay Bansal’s lectures/material. But as far as I know, Jay Bansal and The ML Hub are now operating independently and are not part of RBR’s current setup.

So my question is simple:

Is Jay Bansal actually teaching with RBR right now, or is RBR still showing old content while students think they are buying a current course?

Because if old educator content is being used without clearly telling students the current situation, then this feels like a scam to me. Students pay money expecting clarity, updated teaching, and active support — not confusion about who is actually teaching the course.

I’m attaching the screenshot from inside the course.

Anyone who is planning to buy RBR’s GATE DA course should first ask them clearly:

* Who is actually teaching the course right now?

* Is Jay Bansal officially associated with this course or not?

* Are these old recorded lectures being reused?

https://preview.redd.it/o72dwcvcddyg1.png?width=3024&format=png&auto=webp&s=02bb5f89de4464981f53d40ccbb48f61f2c27040

I am third year cs student preparing for gate 2027 need some advice from the people who cracked gate from online coaching with college. How did you balanced the college and gate prep and ensure consistency

This might sound controversial, but sometimes I genuinely feel people are underestimating GATE DA way too much.

Everyone keeps running behind the traditional CS route, while the industry is rapidly moving towards AI, ML, data, and automation. Yet a lot of students still ignore GATE DA as if it has no future.

The funny part is that many people who say “DA has less scope” are the same ones trying to enter AI/ML later through courses and certifications.

I’m not saying CS is bad at all — it’s still an amazing and safe option. But completely ignoring DA right now feels like missing where the industry is heading.

What do you all think?

Is GATE DA still underrated, or are people avoiding it for valid reasons?

I also used to think that I’m too old now for the IIT route. But the beauty of M.Tech is that there’s no age limit.

At the end of the day, it’s more about where you want to go rather than when you start. So maybe the right time is actually now.

Anyone else felt the same?