Build the foundations before they join. Start role training, not remedial training.
We build your freshers' foundation through real business scenarios in real tools, so onboarding starts with foundation-ready hires, not another round of basics.
Four real data roles
One foundation. Every data role is built on it.
At offer time you rarely know which track a hire will land in. So we build the base every data role shares, and you assign the track later, during onboarding, without paying for lost time.
One common foundation
The shared base under every data role
Most teams burn months while hires guess and relearn. Build the shared base first, then assign the track during onboarding. Data Analyst, Engineer, Scientist or ML, assigned once you see where each hire fits.
The complete foundation, module by module.
Eight modules and a comprehensive exam, built from masterclasses, hands-on scenarios and timed assessments.
Here is the path, start to foundation-ready.
Data & business foundations
The core skills every role uses
Big data and the cloud
Where data science begins
Comprehensive exam
Pick the path per cohort. Same finish line, either way.
Both paths start at the same point and reach the exact same foundation readiness. The accelerated path simply skips the Programming Foundations module and moves faster.
Business Landscape & Data Foundations
How real data teams think: KPIs, data modelling, quality and governance.
Excel Primer
From messy spreadsheets to clear business answers, in the tool every team uses.
SQL Primer
From first query to joins, CTEs and customer segmentation on a real retail database.
Programming Foundations
Writing and debugging Python from scratch, no prior coding assumed.
Python for Data Analytics & Data Science
End-to-end analysis in Python: wrangling, cleaning, visualising and finding the insight.
PySpark Foundations
Data too big for one machine, handled with Spark, the engine behind modern platforms.
Cloud Primer
Hands-on where real data actually lives: the cloud.
Data Science Foundations
Where data science and machine learning begin.
Comprehensive Exam
Every module tested together on one real-world challenge. The result is the readiness signal your team acts on.
This is the shape of the program. The downloadable curriculum has the full lesson-by-lesson breakdown, every masterclass, scenario and assessment, with timings for both paths.
See exactly where every hire stands, before and after.
Continuous assessment produces a per-skill readiness map for the whole cohort, before anyone is onboarded. Not "percent complete," but actual foundation readiness per skill, per hire.
Cohort readiness map
Day 1 → After the program| Skill | Start | End | Gain |
|---|---|---|---|
| Business & Data Foundations | A | ✓ | +2 |
| Excel | A | ✓ | +2 |
| SQL | ! | ✓ | +3 |
| Programming Foundations | ! | ✓ | +3 |
| Python for Data Analytics | ! | P | +2 |
| PySpark | ! | P | +2 |
| Cloud | ! | P | +2 |
| Data Science & ML | ! | P | +2 |
Critical gaps at intake
The batch arrives not-yet-exposed across SQL, Programming Foundations, PySpark and Cloud, the bases every data role needs first. Pre-boarding closes them before day one.
Where the cohort lands
Foundation-ready on the skills you staff for first, and at least practitioner level across all eight. A consistent, scored baseline for the whole batch.
Composite readiness
A single score per cohort, so you can fast-track the ready, support the gaps and plan allocation before day one.
What L&D and delivery leaders say.
Heads of L&D and delivery at the firms that hire data talent at scale, on training freshers with Enqurious.
"They bridge the gap between academic knowledge and real-world application, so our campus hires come in with the right skills and are truly industry ready."
"We have been more than impressed with their program design and delivery. The quality is top-notch, and they keep the audience genuinely engaged and participating."
"Detailed, practical and application-focused. For newbies, exactly what they need before stepping into real business situations they have to navigate without much clarity."
Traditional onboarding burns months before a fresher delivers a single billable hour.
Campus hires arrive with uneven basics and spend their first quarter relearning fundamentals on full salary, before role-specific training can even begin.
Months lost to the basics
The first quarter goes to relearning what college already covered. Deeper, role-specific training cannot even start until it is done.
Full cost, zero contribution
You pay a full salary, plus the training, through those months while the hire produces nothing billable.
Readiness you cannot see
Without a per-skill readiness signal, staffing, bench and project allocation decisions stay guesswork.
Built to drop into your hiring calendar, not disrupt it.
We run delivery, mentoring and assessment. You receive a ready cohort and a per-hire readiness map. Pricing is tailored to your batch size and timeline.
What your team gets
- 8 modules plus the comprehensive exam, the full foundation under every data role.
- Hands-on scenarios in real tools, so hires arrive having done the work, not just watched it.
- Delivery, mentoring and assessment run by Enqurious, with a low load on your team.
- A per-hire, per-skill readiness map and cohort reporting, before anyone is onboarded.
- A clean handoff into your DE, DA, DS or ML onboarding, no overlap and no gaps.
Scales from a single squad to a large campus intake. Runs in the gap between offer and joining, or as onboarding. ~6 weeks (accelerated) to ~10 weeks (full).
Hiring is complete. Readiness is not.
Between offer acceptance and meaningful contribution lies a gap that many organizations underestimate. We help close it before your hires walk through the door.