Learn Data Science Feature Engineering in Mohali at techcadd. Covers understanding features and targets, handling missing values and outliers with hands-on practice and career guidance.
Flexible
1:1 session-based schedule
3 modules
7 topics covered
Advanced
Difficulty level
100%
Placement assistance
Admissions open
Next session starts in 2 weeks
Session slots
A advanced track taught at our Sector 75 campus in Mohali and live online, built around what employers in this field are hiring for right now.
Feature engineering transforms raw data into the inputs that help machine learning models perform better. The Data Science Feature Engineering masterclass at techcadd Mohali is built around in-depth coverage of one focused topic, so you finish with skills you can use, not just theory. About the Data Science Feature Engineering masterclass in Mohali If you are looking for a Data Science Feature Engineering masterclass in Mohali, techcadd Mohali offers practical, trainer-led learning with hands-on exercises and project work. The programme suits students, graduates, job seekers, career switchers and working professionals from Mohali, Chandigarh, Panchkula, Zirakpur and nearby areas. What you will learn The syllabus typically covers these topics, and your trainer shares the current, detailed curriculum at enrolment: Understanding features and targets Handling missing values and outliers Encoding categorical variables Scaling and normalisation Creating new features Feature selection Evaluating the impact on models Tools and technologies covered Python Pandas scikit-learn NumPy Jupyter Notebook Career opportunities after the Data Science Feature Engineering masterclass Learners with Data Science Feature Engineering skills can explore roles such as: Junior Data Scientist Data Analyst Machine Learning Trainee Business Analyst Actual roles and salaries depend on your skills, projects, interview performance and the employer. Why learn Data Science Feature Engineering at techcadd Mohali techcadd provides career-oriented guidance and placement assistance, including help with projects, portfolio development and interview preparation. Placement support is assistance, not a guarantee of a job. Contact techcadd Mohali for current fees, duration and batch timings.
ISO-certified certificate
Plus a project completion letter
Internship letter
Earned on live project work
Every session recorded
Kept in your student portal
Small, mentored sessions
Code reviewed by a working engineer
Data Science Feature Engineering Masterclass
AdvancedMohali & live online
4.9 / 5
556 reviews
ISO certified
Certificate + internship letter
3 modules and 7 topics. Each one closes in something you build, review and keep in your portfolio.
Where the programme starts — no prior experience assumed.
2 topicsModule 1 of 3
What this module covers
2 topics
Picks up from module 1: getting started with data science feature engineering and adds the working skills on top.
3 topicsModule 2 of 3
What this module covers
3 topics
The final stretch: the live project, the review and the portfolio hand-off.
2 topicsModule 3 of 3
What this module covers
2 topics
Every skill below is taught hands-on, in a session where you build with it rather than watch a slide about it.
6+
core skills covered
Understanding features and targets
Module 1: Getting started with Data Science Feature Engineering
Handling missing values and outliers
Module 1: Getting started with Data Science Feature Engineering
Encoding categorical variables
Module 2: Core Data Science Feature Engineering skills
Scaling and normalisation
Module 2: Core Data Science Feature Engineering skills
Feature selection
Module 3: Applied practice and project
Evaluating the impact on models
Module 3: Applied practice and project
Every session is taught by working professionals, builds on live projects from the third week, and hands over to a placement team that keeps working until you are hired.
6 reasons the Data Science Feature Engineering Masterclass track produces people who get hired, rather than people who finished a syllabus.
Book a free demo classYour Data Science Feature Engineering Masterclass sessions are taken by people who use this stack at work every week — current practice and the judgement behind it, not a syllabus written five years ago.
Concepts in the first half of a session, hands-on in the second. Every module closes with something that runs, gets reviewed and goes into your portfolio.
From the third week you join a project team with real requirements, deadlines and code review, and you leave with a documented internship letter.
An ISO-certified training certificate, a project completion letter and a portfolio you can actually show — all recognised across our hiring-partner network.
Resume and LinkedIn rebuilds, mock technical and HR rounds, aptitude practice and continuous drives with 450+ hiring partners around Mohali and Chandigarh.
Morning, evening, weekend and live-online sessions for the same programme. Every session is recorded and stays in your student portal.
12,450+
Students trained
450+
Hiring partners
98%
Placement success
15+
Years of excellence
Meet the team
Our mentors, engineers and academic leads work together to deliver industry-ready training at techcadd Mohali.
Data Science Feature Engineering Masterclass is a advanced track. These are the four kinds of people who typically sit in the session — if you recognise yourself in any of them, you are in the right place.
B.Tech, BCA, MCA, B.Sc and M.Sc students who want an AI or data profile in place before campus placements begin.
Working engineers who can already code and want models, pipelines and deployment added to the stack they ship with.
Anyone living inside spreadsheets who wants Python, SQL and modern BI doing the heavy lifting instead.
Non-technical professionals starting from Python basics — the foundation module assumes nothing at all.
Eligibility
Not sure whether your background fits? A ten-minute counselling call maps your stream, marks and goal to the right session — no obligation.
Ask a counsellorThe exact stack used in the labs, the live project and — more to the point — in the jobs this course leads to.
Finishing Data Science Feature Engineering Masterclass puts three separate documents in your file — one for the syllabus, one for the project you built, and one for the weeks you spent on a project team.
Issued on attendance and the final assessment of the Data Science Feature Engineering Masterclass programme, under our ISO-certified training registration — the document employers and universities ask to see.
A separate certificate for the live project you build and defend, listing the brief, the stack and your role on the team — so the work is verifiable, not just claimed.
A dated internship letter covering the weeks you spent on a project team with real requirements and code review — accepted for university internship credit.
Official techcadd Computer Education credential with unique QR code verification, IAF, ICV, EGAC, and MSME Govt. of India institutional recognition.
How the paper is used
Every analytics team in the Tricity is now hiring for Python, SQL and a model that runs in production — and the same profile is the most portable one on remote job boards.
Junior Data Scientist
Data Analyst
Machine Learning Trainee
Business Analyst
Punjab / Tricity
Fresher
₹3 – 6 LPA
2 – 3 years in
₹6 – 13 LPA
Delhi NCR
Fresher
₹3.8 – 7.5 LPA
2 – 3 years in
₹7.5 – 16 LPA
Remote / Freelance
Fresher
₹3.2 – 6.3 LPA
2 – 3 years in
₹8 – 17.5 LPA
Ranges reported by our own alumni across the last two placement years. What you are offered depends on your interview, your portfolio and the company — we prepare you for all three, we do not promise a number. Check a role in the salary estimator.
Our placement cell runs drives with hiring partners across Mohali, Chandigarh and Panchkula, and keeps calling them until you are placed.
Talk about placementsMost Data Science Feature Engineering Masterclass courses in the region cover a similar syllabus. What separates them is who teaches it, what you build while you are there, and what happens after the last session.
Who teaches
Trainers who still work on client projects in the same stack.
Full-time faculty teaching from a fixed slide deck.
What you build
A live project with real requirements, deadlines and code review.
A demo project copied from the same manual every session uses.
Personal attention
1:1 sessions with open lab hours and daily doubt clearing.
Large halls where questions wait for the next session.
Course material
Curriculum revised against what local companies are hiring for.
Notes that have not changed in several years.
What you leave with
Certificate, project letter, internship letter and a portfolio.
A certificate, and nothing to show behind it.
After the course
Placement cell that keeps calling drives until you are hired.
A list of contacts handed over on the last day.
Compare us on the same points before you enrol anywhere — ask for the trainer’s current work, the last session’s project files and the placement record in writing.
Session alumni from this track, on what actually made the difference once they were in interviews.
4.9
556+ Google reviews
Running real ad budgets during the course was the difference. I walked into my first job already knowing how to read a campaign report and fix what was underperforming.
The cyber security lab setup let me break things safely and learn how attacks really work. Placement cell arranged three interviews within a month of finishing.
AutoCAD and SolidWorks were taught with actual production drawings, not textbook exercises. My employer noticed that my drawing sets followed proper standards from day one.
I joined the 6-month MERN track straight after B.Tech with almost no practical experience. The live project work is what changed things — I had real code to talk about in interviews instead of just a syllabus.
Still unsure? A ten-minute call with a counsellor usually settles it faster than any brochure.
Ask us directly
What the call covers
Counsellors reply within a working day. No fee is collected until you have sat through a demo session.
Data Science Feature Engineering Masterclass runs at our Sector 75 campus in Mohali. Morning, afternoon, evening and weekend sessions run in parallel, there is a live-online seat in the same session, and every session is recorded to your student portal.
Send a quick enquiry about Data Science Feature Engineering Masterclass and a counsellor from the Mohali centre will get back to you — usually the same working day.
Your details are used only to contact you about this enquiry — never sold, never added to a marketing list.
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Beyond the syllabus
Ready to get started?
Talk to a counsellor today. One call is usually enough to know which track fits your degree, your schedule and the job you want.
Call now+91 98881 22442
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