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Weekend & Evening Batches No Career Break Needed 100% Placement Support

Data Science Course for Working Professionals

Switch to Data Science without handing in your resignation letter first. Learn on evenings and weekends, keep your salary coming in, and let our placement team find your next role while you finish the program.

61%
Of Our DS Batch Are Working Professionals
0
Days of Career Break Required
3
Schedule Formats to Choose From
256+
Hiring Partners

Pick a Schedule That Actually Fits

Same curriculum, same trainers, same placement support, across all three formats. The only thing that changes is when you show up.

Weekday Evening
After-Work Batch
7:00 PM – 9:00 PM
Mon Tue Wed Thu Fri Sat Sun

Three evenings a week, timed after typical IT office hours, so you leave work and log straight into class.

Weekend
Saturday–Sunday Batch
10:00 AM – 4:00 PM
Mon Tue Wed Thu Fri Sat Sun

Full-day sessions both weekend days, ideal if your weekdays are unpredictable and you'd rather keep them fully free.

Hybrid
Online Weekdays + Classroom Weekends
Mixed Schedule
Mon Tue Wed Thu Fri Sat Sun

Online sessions midweek for flexibility, in-person Saturday sessions for hands-on project work and mentor face-time.

Why Working Professionals Choose Prime Point

Missed a Session? Catch Up.

Lifetime access to recordings means a late night at work doesn't cost you a topic.

Peer Group That Gets It

Most of your batchmates are also balancing jobs, so pacing and project timelines account for that reality.

Resume Framed Around Your Experience

Your placement team positions your prior work experience as an asset, not a gap to explain away.

No-Cost EMI, No Income Disruption

Pay monthly while you're still earning; there's no need to dip into savings or take a loan against your salary.

Switching Careers While Still Employed

No dramatic resignation required. Here's what the transition actually looks like for most of our working-professional students.

M0
Month 0
Enroll in an evening or weekend batch, keep your current job as-is
M3
Month 3
First live project completed, resume update begins with your new skills added
M5
Month 5
Mock interviews begin alongside your regular working hours
M6
Month 6
Course completes, active interview process starts with placement team support
Offer
You resign only once you've already accepted your new Data Science offer

From Working Professional to Data Scientist

I was in a support engineering role for 4 years. The weekend batch let me build my ML portfolio without ever telling my manager I was job hunting.

AK
Amit Kale
Career switcher, now Data Scientist

The evening batch meant I never had to touch my leave balance. I finished the entire course without missing a single working day.

SR
Shweta Rane
IT Analyst turned ML Engineer

My batchmates were mostly other working professionals, so nobody was surprised when I showed up tired from a late shift. That mattered more than I expected.

DJ
Devendra Jadhav
Ops Executive to Data Analyst

Before You Sign Up

Will I need to take leave for this course?
Not for regular sessions. Evening and weekend batches are timed specifically so you don't need to use your leave balance. You may want a day off around your capstone project deadline, but that's optional.
What if I have to travel for work and miss a few weeks?
You get lifetime access to session recordings, and mentors run doubt-clearing sessions to help you catch up. Students have completed the program around travel-heavy jobs before.
Is my current job experience actually useful for a Data Science role?
Often, yes. Domain knowledge from your current industry (finance, manufacturing, healthcare, etc.) is a real advantage in interviews, since companies value analysts who understand the business context, not just the tools.
Should I resign before or after I get placed?
After. Our placement process is designed to run alongside your current job, so you only resign once you've accepted a new offer, not before.
Can I switch between weekday and weekend batches mid-course?
In most cases yes, subject to seat availability in the target batch. Talk to your counsellor if your work schedule changes mid-program.

Start Without Quitting Anything

Talk to a counsellor about which schedule fits your current job, before you commit to a batch.