6 Months that take you from python, sql joins & windows and excel to pandas to a real, portfolio-ready Data Science project you can show in an interview — Python, SQL and Pandas from the ground up, then hands-on practice. No prior experience needed.
Rated on Google
4.9
556+ reviews
Enrol in the 6 Months Data Science program after 12th at techcadd Chandigarh (4.9★, 556+ reviews). Learn Python, SQL, Pandas, scikit-learn with a hands-on capstone project. No prior background required.
Key Highlights:
This is the 6-month Data Science programme, built for someone starting straight after 12th who wants real data science skills without assuming any coding or technical background. Statistics, Python, SQL, visualisation and machine learning combined into a complete analyst-to-scientist path.
Months 1–2 covers foundations — Toolkit and Statistics: Python, SQL joins & windows, Excel to Pandas, Git, Distributions, Hypothesis testing, A/B tests and Regression. Each topic is taught hands-on, in the order a real data science project actually needs it.
Months 3–4 covers core skills & practice — Visualisation and Modelling: Matplotlib & Seaborn, Power BI, Storytelling, Dashboards, Supervised learning, Time series, NLP basics and Model evaluation. Each topic is taught hands-on, in the order a real data science project actually needs it.
Months 5–6 covers scaling & capstone project — Capstone: Real dataset, Stakeholder brief, Presentation and Portfolio. Each topic is taught hands-on, in the order a real data science project actually needs it.
Every module ends with something you actually build — a script, a working setup, a deployed piece of the final project. By the end of the programme, these add up to a complete portfolio project with documentation you can show in interviews and on your CV.
Every module ends in something you have built and a trainer has reviewed, so the list below is work you will have done rather than topics you will have heard about.
python, sql joins & windows and excel to pandas are covered in the first stage, so when you reach applied work you already understand the system underneath.
You work in a real environment with Python, SQL and Pandas rather than watching a recorded demo.
matplotlib & seaborn, power bi and storytelling are covered before the advanced modules, because that is the order real work actually happens in.
The final project combines the full programme into one deployment, with documentation, a demo and interview practice.
The course is divided into three months. Each month builds on the previous one, moving from basics to real, portfolio-ready projects.
Tools covered: Python · SQL · Pandas · scikit-learn · Power BI · Tableau.
Projects: Toolkit + Statistics.
These are the tools and platforms you will actually work in — hover any node to see what it does and where it shows up in the curriculum.

Data Science
6 Months
Advanced CertificateWhether you’re a student, graduate, or working professional, this program is designed to help you build practical, job-ready skills and start your career in technology.
Join from any stream — Science, Commerce, or Arts. No technical background is required. Learn industry-relevant skills through practical training and real-world projects.
Ideal for BCA, B.Sc, B.Com, BBA, BA, B.Tech and other graduates looking to gain practical skills, strengthen their portfolio, and improve placement opportunities.
Perfect for individuals looking to transition into the tech industry. Learn in-demand skills and become job-ready without needing prior experience.
Build practical projects, gain certification, prepare for interviews, and develop the confidence needed to secure entry-level technology roles.
The first stage covers python, sql joins & windows and excel to pandas. Once these basics are clear, every later module is easier to understand because you already know how the system underneath works.
You work with Python, SQL and Pandas by actually building and configuring, not watching slides.
Every topic ends with a deliverable — labs, reports, a hosted application and a final capstone. You leave with work you can show in interviews.
This 6 months programme is the foundation of the longer tracks. If you want to go deeper later, you continue from where you left off — nothing is repeated.
Complete the course with a portfolio of live projects and receive an industry-recognised certificate, plus a documented internship letter.
Industry certificate
Verifiable online, issued on completion of your assessment and project.
Internship letter
Issued for real client work you contributed to — not for attendance.
Live client projects
Actual briefs with deadlines, reviews and a deployment at the end.
Doubt-clearing sessions
Scheduled weekly, plus open lab hours whenever a trainer is on the floor.
techcadd
Computer Education
CERTIFICATE
of Project Excellence
This is to certify that
Student Name
★techcadd
Computer Education
CERTIFICATE
of Course Completion
This is to certify that
Student Name
★The roles this opens and who is hiring for them — the same figures our free salary estimator publishes, not a brochure number.
The most common starting role. You work hands-on with Python and SQL and configure the systems this course covers. Your projects from this course serve as proof of your skills.
A natural next step as you gain experience — the same Data Science fundamentals apply, with more ownership over the systems you work on.
A natural next step as you gain experience — the same Data Science fundamentals apply, with more ownership over the systems you work on.
A natural next step as you gain experience — the same Data Science fundamentals apply, with more ownership over the systems you work on.
The syllabus is arranged so every module produces something you keep rather than a set of notes. Modules run in the order a real project runs: foundations first, then applied work, then supervised client work, then the portfolio piece that turns all of it into an offer letter.
Your first working piece, applying python and sql joins & windows end to end rather than as isolated exercises.
Work with a real, messier brief covering distributions and hypothesis testing, and defend the choices you made to a trainer.
A genuine requirement from techcadd's delivery pipeline, scoped, built and shipped under supervision. This is the one interviewers ask about.
A data science project you specify yourself, covering real dataset and stakeholder brief, presented as your final piece.
Every project moves through the same loop: understand the brief, build with guidance, then explain the decisions behind your work.
Break a real requirement into a clear plan and the right tools.
Toolkit build
Work hands-on with trainer feedback while the decisions are still easy to change.
Statistics challenge
Turn the finished work into a portfolio story you can defend in an interview.
Live client brief
7 campuses across the region, 4.9★ from 556+ reviews, and a syllabus that is updated every year to match current industry needs.
You advance when your work passes review, not when the calendar says so. If you need extra time on a topic, you get it — nobody is rushed ahead.
Every hands-on session runs in a real account or environment — under trainer supervision, so mistakes become learning moments rather than surprise bills.
The people teaching this syllabus are the same people doing this work for real clients, which is why the course covers problems that actually happen.
Finish with a certificate and a capstone, or continue into the longer tracks later. You pick up from where you left off — nothing is repeated.
Learn from industry trainers on the tracks students most often take next.
Machine learning, deep learning and generative AI on real datasets.
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Machine learning, deep learning and generative AI on real datasets.
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Machine learning, deep learning and generative AI on real datasets.
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Autonomous agents that plan, use tools and finish multi-step work.
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Find answers to the questions students ask before enrolling.
6 Months (≈ 380 hours). Weekday, evening and weekend batches cover the same syllabus, and 1-on-1 training is available if you prefer your own pace. Every class runs for 2 hours, whichever format you choose.
No. This programme is built for students straight after 12th from any stream — Science, Commerce or Arts. It starts from the basics.
Real work. You build hands-on with Python and SQL under a trainer's supervision — that is what the internship letter is issued against.
A complete capstone project that combines the full syllabus, plus the smaller projects from each module — all documented for your CV and interviews.
Graduates typically move into Data Scientist, Data Analyst, Business Analyst.
Pay depends on the portfolio you can show more than the certificate alone. Use the free salary estimator for an honest range by role and experience. Open the salary estimator
Yes. This programme is the foundation of the longer tracks, so you continue from where you left off — nothing is repeated or charged for twice.
No genuine institute can guarantee a job. What we do run is a placement cell: CV review, mock interviews and drives with our 500+ hiring partners, continuing after your course finishes.
Yes. Every student finishes with an industry-recognised certificate and a documented internship on real work.
Send your question and a counsellor will call you back about batch timings, fees, EMI options, placement record, or whether this course fits your background.
Not sure if Data Science is the right fit?
One call with a counsellor is usually enough to find out. Book a free demo class and see the lab before you decide.