From non-tech to Data Engineer with proof on GitHub. The complete stack — SQL to Spark to Snowflake to Kafka to AWS — taught the 2026 way: with AI woven into every module, now with a dedicated interview & systems-readiness module, ending in Agentic AI.
4.6★ · 14 student reviews from Cohorts 1–3 · founders @ 7-Eleven · 7-day refund
Cohort 4 Price
One-time payment. Counting the included 6-month Pro Auto-Pilot (₹29,699), the 192 live hours effectively cost ₹29,301.
Free 6-Month Pro Auto-Pilot Subscription
Worth ₹29,699(the 6-month Pro Auto-Pilot plan) — included free with every seat
Gives you the full PrepNPlaced product for 6 months: Rewrite My Resume & Resume Score, Find Jobs, Find Referrals, Auto Apply, unlimited AI Mock Interviews, My Study Plan, Message Writer, and recruiter inbound.
Discounts on this cohort
Message before you pay — discounts are applied manually, not at checkout.
4-Month Internship · Unpaid · Freshers only
A four-month training internship where you learn the stack and ship real projects on the product itself — the kind of work you can put on a resume and talk through in an interview, instead of another tutorial repo.
The terms, plainly
192
Live Lecture Hours
32 topics × 6 hrs (2 classes each), across 8 modules
9
Project Hours
Three real projects you build end-to-end
3
GitHub Projects
Public proof recruiters can open and verify
40
Seats This Cohort
Small by design — every learner gets doubt support and project review
Founder & lead instructor
Senior Data Engineer @ 7-Eleven · ex-Target, Coforge · Instructor @ Scaler, Bosscoder, Newton School, GeeksforGeeks & Masai
Bosscoder
4.85/5
535 ratings · 160 learners
Live cohort teaching
Newton School
4.7/5
Python lecture series
Live lectures
Topmate
4.3/5
503 ratings · 350+ reviews
1-on-1 mentorship
Durgesh isn't just a mentor, he's more like a brother to me. His wisdom and kindness have taught me things money can't buy. I've grown so much under his guidance — he knows how to make it click for each person individually.
An amazing, eye-opening experience for anyone confused as a fresher or experienced person about what to learn or which domain to switch into. Durgesh gave a clean, clear view, understood everything with patience, and shared very useful tips to crack companies within 3-4 months.
The most informative and best session. Durgesh genuinely tries to guide you according to your preferences — his candid suggestions and precise insights are value-driven. It was an absolute delight talking to him.
The way he guides you and shows you the right path using his knowledge and experience is really amazing. You feel charged up after a chat with him. I'd really recommend this for anyone who wants to make a mark in this domain.
A wonderful and amazing session — so informative and motivating throughout. Thanks for helping me with the whole roadmap of data analytics and your guidance. I would recommend a 1-on-1 session with Durgesh!
A great conversation with Durgesh. He gave me a clear guidance path as well as free resources for self-learning. Hats off to the work you're doing for novice aspirants who want to come into this data world.
Co-founder & lead instructor
Co-Founder, PrepNPlaced · Data Engineer @ 7-Eleven · SQL, PySpark, Power BI & Excel Instructor
Bosscoder
4.9/5
127 class ratings · 83% perfect 5★
Live DSML & DE cohorts
Topmate
4.5/5
697 ratings · 518 reviews
1-on-1 mentorship
Newton School
4.8/5
Live lecture series
Live lectures
Learning with PR as my SQL trainer has been an absolute game-changer. As a complete novice I approached SQL with trepidation, but her expertise, patience and dedication transformed my experience entirely — a rare combination of deep knowledge and the ability to make it click.
Practical live lessons are very useful and the teaching method is clear and straightforward — the interview-based questions with every topic are very useful!
Had a very insightful session within a stipulated time. Her experience helps in bringing tough SQL concepts simpler even for a layman.
I like her teaching. She explains everything very well and clears every doubt.
The demo session was truly amazing — I loved it. I'm really looking forward to this course and would love to keep the session to revisit in future.
Pragya's way of teaching is so good. She explained all the topics in depth with simpler examples. JUST AMAZING.
Learn directly from the founders — working data professionals at 7-Eleven and Target who have trained thousands of learners.
Founder · Senior Data Engineer @ 7-Eleven
Previously at Target and Coforge. Has taught 10,000+ engineers — as an instructor at Scaler, Bosscoder, Newton School, GeeksforGeeks and Masai, and through his own communities — plus 500+ rated 1:1 sessions. Builds most of what you see on this site.
Co-Founder · Data Engineer @ 7-Eleven
Made the switch from a non-tech background herself, which is why the teaching starts from zero. Has taught 127 live classes (rated 4.9/5) and leads the AI-Powered Data Engineering cohort.
Five unedited recordings from our live Data Engineering webinars — Snowflake, AWS, Big Data, Spark, and how Netflix & Uber run at scale. Press play to bank each class's XP — this is exactly how the cohort is taught.
These are unedited recordings from our live webinars — the cohort classes go deeper, with assignments and projects.
Every module covers the sub-topics that hiring teams actually screen for, and carries an ⚡ AI in Practice thread that builds toward the Agentic AI capstone. Expand a topic to see exactly what you will master, from SQL and Spark to Snowflake, dbt, Kafka, and Agentic AI.
Module 1Quest 1 of 8
The querying, modeling, and BI base every data role is screened on.
ProofWrite and explain window-function queries and speed up a slow query from its execution plan.
AI in Practice
LLM-assisted query writing and explaining execution plans with AI — and learning to verify what the AI got wrong.
Module 2Quest 2 of 8
Process data at scale the way product companies actually run it.
AI in Practice
Using AI to diagnose shuffle-heavy jobs and read Spark query plans faster.
Module 3Quest 3 of 8
Snowflake, dbt, and Airflow — the modern data stack employers ask for.
AI in Practice
AI-generated dbt tests and documentation, reviewed like a pull request.
Module 4Quest 4 of 8
Kafka and Spark Structured Streaming — the in-demand real-time skillset.
AI in Practice
AI-assisted incident debugging on streaming failures — checkpoint recovery, lag analysis.
Module 5Quest 5 of 8
Ship data workloads on the cloud platform most job posts require — built around 5 core services: S3, Glue, Redshift, Kinesis, Lambda.
AI in Practice
Infrastructure-as-prompt — drafting Glue jobs and IAM policies with AI, then hardening them by hand.
Module 6Quest 6 of 8
Legacy big data and the Azure stack — the platforms enterprise interviews still cover.
AI in Practice
Interview prep with AI — drilling the legacy-stack questions interviewers still ask.
Module 7Quest 7 of 8New in Cohort 4
System design, coding rounds, NoSQL, and DevOps — the rounds that decide the offer.
AI in Practice
AI-assisted system design critique — feeding your pipeline design to AI for a mock architecture review before the real interview.
Module 8Final bossThe Capstone
Use LLMs and AI agents to automate real data work — the 2026 edge.
The Capstone
Every "AI in Practice" thread from Modules 1–7 converges here: you go from using AI inside data work to building the agents that do it.
See who should enroll, who should skip it, how each module maps to skills, and how projects become resume and interview evidence.
Learners moving toward data analyst, analytics engineer, or data engineering roles
Freshers who need SQL, Power BI, Python, PySpark, and project proof in one sequence
Working professionals who want structured assignments, real projects, and interview practice
Anyone looking for a passive certificate without assignments or project work
Candidates expecting guaranteed placement, salary, or interview outcomes
Learners who are not ready to revise, submit work, and practice explanations
The curriculum is useful only when the learner can explain what skill was built, where it appears in a project, and how it becomes interview proof.
Module 1 · SQL & Analytics Foundation
Resume/interview proof: Dashboard, SQL analysis, and business-metric explanation
Module 2 · Big Data & Apache Spark
Resume/interview proof: PySpark transformation notebook and lakehouse explanation
Module 3 · Modern Data Engineering
Resume/interview proof: Tested dbt models, orchestrated DAGs, and failure-handling story
Module 4 · Real-Time Streaming
Resume/interview proof: Streaming pipeline, live dashboard, and latency/throughput tradeoffs
Module 5 · Data Engineering on AWS
Resume/interview proof: A cloud pipeline (S3 → Glue → Redshift) and AWS architecture explanation
Module 6 · Hadoop, Hive & Azure Data Engineering
Resume/interview proof: Legacy-stack interview answers and an Azure pipeline architecture explanation
Module 7 · Interview & Systems Readiness
Resume/interview proof: A whiteboard pipeline design and coding-round answers you can defend live
Module 8 · AI Automation & Agentic AI
Resume/interview proof: An AI-assisted data workflow and a working data agent you can demo
Beyond the 192 lecture hours, you build three production-style projects (9 guided hours). Each one ships to GitHub so recruiters can open the repo and verify your work — not just read a resume bullet.
A real-time e-commerce lakehouse: stream orders and clickstream through a bronze → silver → gold medallion and serve live revenue analytics.
Event ingestion, exactly-once streaming, medallion modeling, and live dashboards you can defend in an interview.
View on GitHubEnd-to-end retail analytics: model the data, compute revenue, cohort, and retention metrics, and ship an executive dashboard.
SQL metrics, EDA, revenue and customer analysis, and stakeholder-ready BI storytelling.
View on GitHubA modern ELT warehouse: build tested, documented dbt models and incremental pipelines into dimensional marts on Snowflake.
dbt models, tests, docs and lineage, incremental loads, and warehouse cost/performance tradeoffs.
View on GitHubAfter a learner builds proof in the cohort, the next step is to convert that proof into a resume, check JD fit, and practice the interview explanation.
Rewrite course projects into honest resume bullets after you build them.
Check whether the course proof matches a target job description.
Practice explaining SQL, dashboards, PySpark, pipelines, and projects.
Use free lessons to strengthen foundations before or during the cohort.
Verify Durgesh Yadav's public profile, projects, and teaching topics.
Real learners who moved from operations, mechanical, career-gap, and non-tech backgrounds into data roles at companies like Deloitte, Target, and 7-Eleven.
Senthilkumar
Deloitte
From
Operations and Accounts
To
Data Analyst
Ritesh Gandhare
Infor
From
Mechanical Field
To
Data Analyst
Sneha Kulkarni
7-Eleven
From
Career Gap
To
Data Engineer
Lipika Gupta
Target
From
EduTech Domain
To
Data Analyst
Om Rai
People INC.
From
Service Company
To
Data Analyst
Mohit Dudeja
Wells Fargo
From
Ericsson
To
Data Analyst
Every path works; they differ in how much is done with you. The cohort is the only one that includes live teaching — and it bundles 6 months of Pro.
| What you get | Free | Job Seeker ₹4,499/mo | Pro ₹8,999/mo | Cohort ₹59,000 |
|---|---|---|---|---|
| Resume Score + Rewrite | 3 + 2 free | Unlimited | Unlimited | Unlimited (6 mo Pro) |
| Find Jobs + Auto Apply | Taste caps | 40/day | 75/day | 75/day (6 mo Pro) |
| AI Mock Interviews | 2 free | 8/mo | Unlimited | Unlimited (6 mo Pro) |
| 192h live classes + 3 GitHub projects | — | — | — | ✓ the core of it |
| Human mentor & doubt support | — | — | Mentor | Instructors, every weekend |
Plan caps from the live pricing page · cohort includes the 6-month Pro plan (₹29,699) at no extra cost.
Real feedback from learners across cohorts, live sessions, and mentorship calls.
Jahnavi P
Structure
The Cohort is well structured to learn the new tools and provide an extensive platform access which helps you to boost you career.
S Venkata Sai Prudhivi Kumar
Practical Approach
I liked the structured learning and practical approach of the cohort. It made learning much easier and more engaging
Gowtham Chandrasekaran
Curriculum
Structured curriculum & learning path
Hemanth Korubilli
Small Batches
Less people per cohort like 0-30 and mic access (this is the best) and clear explanation
Naveen
Basics To Advanced
You can learn from basics to advanced topics
Prasanna G
Explanation
Topics are well explained.
Shaik Sameer Malik
Teaching
The way teaching is done.
Tanush
Experience
Teaching skills nd experience
Shanu
Depth
explain in detail
Mohan Sahu
Assignments
assignments
Ronak
Live Classes
Live class
Hamad Mohammed Bahadi
Mentors
Durgesh and Pragya have shown up, consistently, for people at their most vulnerable career moments. That kind of patience and reliability builds more than skills — it builds confidence. Still a long way to go
Darshani Teltumbade
Course Value
Honestly, I don't know what Durgesh was thinking while pricing this course. Power BI, SQL, Python, EDA, projects, interview prep — all in one super-affordable package. This is not a course, it's a full data analytics universe. Other institutes charge a fortune for half this content.
Moumita Debbarma
Big Data Session
The session on Big Data was extremely insightful. Durgesh explained complex concepts in a simple, beginner-friendly manner. I now feel much more confident about exploring Big Data further. Highly recommended for anyone starting their journey.
Shreyansh Panwar
SQL Teaching
Durgesh sir is the best teacher — the way he teaches complex SQL queries so easily is very commendable. He teaches with such ease that everyone can understand. Once you study from him, there is no looking back.
Taniya Loomba
Course Structure
I really love the structure in which the course is designed. I feel even a complete beginner can learn it very well.
Anonymous
Clarity
Durgesh explains every concept in depth and with great clarity. The session was really interesting and helpful, and it motivated me to learn even further.
4.4
1,200+ ratings · 850+ testimonials on Topmate
Combined Topmate rating of the cohort instructors — Durgesh 4.3/5 (503 ratings) and Pragya 4.5/5 (697 ratings). The featured reviews below are a small sample of 850+ testimonials.
In their own words
4.4 · Excellent · 14 reviews on Trustpilot4.4 out of 5 is Trustpilot’s own score across all 14 reviews. Below are 9 of them in full — every card links to the original.
I had a Very Good learning experience. People who interested in Transition the career to Data Analyst and Data Engineering it will be helpful for them.
Prepnplaced is a best website in the market, where you can find everything in it, the courses are led by Durgesh, one of the best tutors, i strongly recommend Prepnplaced.
Prepnplaced is a good start point if you want to transition your career into data engineering or data analytics. Best tutor and best way to explain the concept.
All sessions are very helpful. Durgesh is very supportive and provide resolution with lot patience to all queries.
Awesome platform to learn and upskill. Great explanation by mentors with interactions and engaging during the live sessions. Good part is all the sessions are live and handon.
I am a non Tech Student I have never done any Tech Degree just done class 12 If I can learn from them anybody can learn instructors here are not like all instructors in big institute they are real teachers which help and support you I really Thanks Prep placed Team
…And Along with Course I got Job Hunt Product which changed the way I seek for Jobs in 2026
It's a great platform, provide you complete guidance and support. And Pragya Rathi is amazing teacher for SQL 💯
This platform has been a great support in improving my resume and interview preparation. Bringing so many valuable resources together in one place is truly commendable. Congratulations and appreciation to the entire team for their hard work and dedication.