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DATAVERSE
For late starters, by people who get it

It's not too late.
It's just time.

Four focused programs in data and AI. Small batches, real projects, and mentors who stay until you get it. Start from zero, finish with work you can show.

See the 4 programs
  • 4 focused programs
  • 2 to 6 months
  • Projects you can show

How it works

Every skill gives the dots a shape.

01 · Pattern

You learn to read data. The dots line up.

Excel, SQL, Python and dashboards. You stop guessing and start showing.

02 · Connections

You build things that think.

Models, AI assistants and agents that finish real work, one link at a time.

03 · Your orbit

You, with direction.

A portfolio, interview practice and people who can vouch for your work.

See the 4 programs

Sound familiar?

  • “I had fun in college. Maybe too much.”
  • “My friends have jobs. I have a gap.”
  • “I want to start, I just don't know where.”

Good. That last one is all you need. We start from zero, we move at a pace you can keep, and nobody here asks about your marks.

Not sure yet?

Three questions. One honest suggestion.

No email, no sign-up. Answer and we'll tell you where we'd start if we were you.

Question 1 of 3

Which sounds most like you?

You leave with work you can show.

Not a folder of notes. One finished piece per program that you can open in an interview and walk someone through.

Illustrations of capstone work, drawn with practice data. Not screenshots of client or company systems.

Five verbs. No shortcuts.

Every module runs the same way, so you always know what's next.

  1. 01

    Learn

    A concept, explained until it clicks.

    Notes and guided demos
  2. 02

    Practise

    Short exercises on the tools people use at work.

    An assignment per module
  3. 03

    Build

    Put the pieces together into something that works.

    Mini projects
  4. 04

    Apply

    Solve a real business problem from start to finish.

    Case studies and a capstone
  5. 05

    Present

    Explain what you did and why, to someone who will push back.

    A project walkthrough

Problems from brands you already use.

You don't practise on toy data. You work through questions real teams ask.

  • SwiggyData Analytics

    Why do some orders arrive 15 minutes late?

    Dig through delivery data to find where the time goes, and show it on one dashboard.

    • SQL
    • Power BI
    • Storytelling
  • NetflixData Science

    Who is about to cancel?

    Build a model that spots viewers drifting away, and explain what it found.

    • Python
    • scikit-learn
    • Evaluation
  • ZeptoBusiness Analytics

    Which dark store should open next?

    Weigh demand, distance and cost to make a recommendation a manager could sign off.

    • Excel
    • KPIs
    • Decision memo

Swipe for all three

Learning case studies built on public information and practice datasets. DATAVERSE is not affiliated with these companies.

What happens before your first interview.

Here is the work we do with you before you apply anywhere.

  1. From month 1

    A LinkedIn worth opening

    Profile rebuilt with a mentor, one section at a time.

  2. Every module

    Projects, reviewed

    Each one checked and sent back until it's portfolio ready.

  3. Final stretch

    Mock interviews

    Practice rounds with feedback you can act on the same day.

  4. When you're ready

    Introductions

    We share openings and refer you where your work fits.

Straight answers.

I've never written a line of code. Is that a problem?
No. Every program starts from zero. If you can use a phone and a spreadsheet, you can start.
Do you guarantee a job?
No, and be careful with anyone who does. We prepare you properly, review your work, practise interviews with you and introduce you where you fit. The job is yours to win.
I have a gap after college. Will that hurt me?
Less than you think. A portfolio of real projects answers the gap question better than any explanation.
Will I get a certificate?
Yes, a DATAVERSE certificate of completion when you finish the program. The work you can show will matter more, and we'll tell you that on day one.
Which program should I pick?
If you like spotting patterns and explaining them, start with Data Analytics or Business Analytics. If you want to build AI tools, pick Agentic AI. If you want a fast, serious taste of machine learning, pick Data Science. Still unsure? That's what the conversation is for.
How much time do I need each week?
It depends on the program and the batch, and we'll give you the exact hours in the first conversation. If that's hard to keep up, tell us and we'll help you plan around it.
How much does it cost?
It depends on the program and the batch. We'd rather tell you in a conversation, along with the payment options, than print a number here that goes out of date.

For parents

Is this a recognised degree?
No. These are skill programs, not degrees. What your son or daughter leaves with is a certificate of completion and, more usefully, finished work an employer can look at.
How will we know it's working?
Every module ends in an assignment and a reviewed project. Ask to see them. Progress here is something you can look at, not a grade on a sheet.
What does it cost, and can we pay in parts?
Fees depend on the program and the batch. We explain them, and the payment options, in the first conversation, before anyone commits to anything.

Ready when you are.

One conversation, no pressure. Tell us where you are and we'll tell you honestly where to start.

Take the quiz