NeuraPath AcademyBecome a data analyst — a job, or half your fee back
- Free 12-page brochure
- 7 modules · 118 live hours
- Weekday or weekend batch
- The complete analyst stack, taught live — advanced Excel, SQL and Power BI, then Python pipelines, then the AI layer that does the repetitive part for you.
- You also learn to check the AI — spotting when a model is confidently wrong is the skill this programme is built around.
- No coding experience required — the Python block starts at syntax and assumes nothing.
- Taught by a Sr. Data Scientist working in the industry, not a content team.
- The 12-page brochure below has all seven modules, the 14 portfolio pieces and both batch cadences.
Your lead instructor
- Currently at
- Previously
Crimson Energy
- Has trained for
Pankit Kumar
Lead Instructor, NeuraPath Academy
Ten-plus years shipping data science in industry, a hand in training frontier AI models — and a habit of teaching the part nobody writes down.
Sr. Data Scientist at Parexel (a Goldman Sachs–backed company)
Currently working on
- 01Frontier AI modelsHelps train frontier AI models and improve how they perform on benchmarks.
- 02Regulated production systemsSr. Data Scientist at Parexel — production systems in regulated pharma and clinical environments.
- 03This programmeLead Instructor at NeuraPath Academy, on the programme this page is about.
Fig. 02 — Data Analytics with Generative AI brochure cover12 Pages
The programme brochure
Take the whole programme with you
Twelve pages covering all seven modules — the analyst stack, the Python block and the generative-AI block — plus the 14 portfolio pieces, how the weekday and weekend batches run, and the roles it prepares you for.
Name and mobile first — the PDF opens the moment you submit.
More about Pankit
In industry, in the classroom, in his own words.
Sr. Data Scientist at Parexel, a Goldman Sachs–backed company, with ten-plus years in Data Science & AI across industry — earlier at Vitrana, Crimson Energy and MyMoneyMantra.
50+ production systems shipped across industry, including regulated pharma and clinical environments — and helping train frontier AI models and improve how they perform on benchmarks.
Career path
Two lanes, earliest first. Select a stop.
Industry — 04 — now
Parexel
Sr. Data Scientist
A Goldman Sachs–backed company. Builds and ships production systems in regulated pharma and clinical environments, and helps train frontier AI models and improve how they perform on benchmarks.
Want the whole programme he teaches?
Download the brochureThe differentiator
AI said it. Can you prove it?
An illustrative drill — the figures are invented for the exercise. Run the three checks.
Revenue grew 38% in Q3 versus Q2. Here is the query I used:
1SELECT SUM(p.amount) AS revenue2FROM orders o3JOIN payments p ON p.order_id = o.id4WHERE o.order_date >= '2025-07-01';
0 of 3 checks run
Run a check
What just happened
The SQL ran clean and the claim was still wrong — a join that multiplies rows, a filter with no end date, and nobody asked a second source. Three checks, a few minutes. That habit is what Module 6 builds: eval sets, hallucination checks and a written verification protocol you hand over with the pipeline.
See how Module 6 teaches it — in the brochure →What the programme is, and what the brochure gives you
You learn to prove the AI's output, not just prompt it
Anyone can ask a model for a SQL query. The employable skill is knowing whether to trust the answer. You work on hallucination checks, cost and latency, and disproving a result before it reaches a decision-maker — so you can use GPT, Claude, Gemini and Llama on real analyst work and still defend the number in a review.
Two months, on the weekday cadence
Two genuinely different commitments, not the same course stretched: 15 live hours a week over two months on weekdays, or 8 live hours a week over 3–4 months on weekends if you are working. Same 118 live hours, same 14 portfolio pieces, same capstone demo day.
The whole stack, in the order employers ask for it
Seven modules. Advanced Excel, MySQL and cloud SQL, Power BI with DAX get you employable on the standard analyst stack. Python, NumPy and Pandas are what separate an analyst from a report-writer. Then statistics, introductory ML, and a GenAI block covering agents (LangChain, CrewAI, LangGraph), retrieval over business data, and MCP tool building.
Interviews, an internship and interview practice
Job interviews arranged through our hiring network until you are placed, a post-course internship on real problems, mock interviews covering live SQL rounds and Python take-homes, and alumni access. No prior programming experience is assumed — the Python block starts from syntax.
What the brochure gives you
All seven modules with their topics and hours, the 14 portfolio pieces, how the weekday and weekend batches run week by week, and the roles the programme prepares you for. Twelve pages you can read at your own pace — no call needed to get it.
Taught by practitioners, not a content team
Pankit Kumar is a Sr. Data Scientist at Parexel with ten years in the field. Ishaan Sharma is a Senior Data Scientist at Nuvo AI (Meril Group) with roughly a decade in NLP, computer vision and GenAI. You are taught by the people doing the work, not by a content team.
Live and recorded, from anywhere in India
Every session is live and mentor-led, and recorded within 24 hours with 12-month access, so you can attend from anywhere in India — with optional in-person labs and capstone days at our Noida centre. Nothing here is pre-recorded coursework.
The stack path
Seven modules, in the order employers ask for them
118 live hours. Select a module.
Module 01 / 07 · Block 1 · The analyst stack at depth
Excel + SQL + Power BI Core 34 live hours
- Excel at depth: Power Query, advanced formulas, scenario modelling, dashboards
- SQL from relational fundamentals to window functions, CTEs and query tuning
- Cloud SQL: connecting to hosted databases, credentials and safe querying
- Power BI: star-schema modelling, DAX measures, time intelligence, RLS
- Publishing, scheduled refresh and sharing dashboards with stakeholders
You buildTwo BI dashboards and an e-commerce SQL case study.
Two batches, one programme
The same 118 live hours, arranged two ways
Two genuinely different commitments, not the same course stretched. Pick the weekday batch only if your days are actually free.
- Live hours a week
- 15
- Sessions
- Mon–Fri, 3 h each
- Finishes in
- about 2 months
- Best for
- Students, freshers and full-time learners
Same 118 live hours, same 14 portfolio pieces, same capstone demo day. Every session is live, mentor-led and recorded.
40 sessions of 3 h — the last one shorter, 8 weeks.
Two-minute fit check
Which batch, and where do you start? Four questions.
No sign-up to see the result. Nothing is saved unless you ask for the brochure.
What's inside the brochure
Tap the parts you'd read first — then take the whole thing with you.
Still deciding?
That's what the brochure is for. Seven modules, page by page — what you'd learn, how the two batches run and where it leads. Read it first, decide later.