12th-pass students
An early start if you are comfortable with basic maths and ready to learn step by step.
Admissions open · Internship & TrainingPython & ML
Data Science Training in Jalandhar
Collect, clean, analyse and visualise data, then build predictive models for real business problems with Python, SQL, statistics and machine learning.
- Live client projects
- Practitioner trainers
- Placement support
- Certificate + internship
Program snapshot
Data Science · Intermediate
- 1Python, statistics & SQL
- 2Cleaning, analysis & visualisation
- 3Machine learning & capstone
- Classroom, online & 1-on-1
- Mode
- Live client work
- Projects
- Industry recognised
- Certificate
- Internship letter
- Includes
Choose your track
One program, three depths
Same trainers and live projects on every track. Pick the length that fits your semester or career plan — a counsellor shares fees and scholarships.
3months
Fast track
3-Month Training
Core skills and guided projects for students on a short timeline or professionals upskilling.
- Core modules & tools
- 2 guided projects
- Training certificate
6months
Most chosen
6-Month Industrial Training
University-approved industrial training with a live project, training report and internship letter.
- Full syllabus + live project
- University report & letter
- Placement assistance
9months
Job-ready
9-Month Diploma + Internship
Everything in the 6-month track plus advanced modules and an internship on real client work.
- Advanced specialisation
- Internship with experience letter
- Priority placement support
- Students trained since 2007
- 50,000+
- Google rating
- 4.9★
- Practical, project-based
- 100%
- Hiring partners
- 500+
Overview
Industry-ready, lab-first training
This practical, career-focused training covers the full data science workflow, from framing a business question to presenting insights. You learn to collect, clean, analyse and visualise data, then build predictive models, using Python, SQL, statistics, machine learning and modern visualisation tools.
The curriculum starts from the fundamentals, so it works for technical and non-technical backgrounds alike, and each module builds on the one before it. Every major topic is followed by hands-on work on real-style datasets, leading to portfolio projects you can show to employers or clients.
- Python for data
- Statistics & probability
- SQL & databases
- Data cleaning & EDA
- Feature engineering
- Visualisation & dashboards
- Machine learning
- Model evaluation
What you get
Included on every track.
- Practical, lab-first learning in every class
- AI tools built into your daily workflow
- Live client projects you can show employers
- An internship letter on the 6 and 9-month tracks
- Small batches with same-day doubt clearing
Who can join: Graduates or final-year students; basic maths and logic recommended.
Syllabus
What you will actually build
3 phases, each ending in work you can show. Tap a phase or use the arrow keys to explore.
Phase 1 of 3
Python, statistics & SQL
Learn the data science lifecycle and the programming, statistics and query skills it rests on.
- Data science lifecycle, data types & basic data ethics
- Python basics: variables, loops, functions & data structures
- NumPy & Pandas in Jupyter Notebook
- Probability, hypothesis testing & confidence intervals
- SQL queries, joins, subqueries & window functions
By the end: You can load, query and summarise data and back your findings with statistics.
Phase 2 of 3
Cleaning, analysis & visualisation
Prepare real-style data, find the patterns in it and present them so managers and clients understand.
- Missing values, duplicates & outliers
- Feature engineering & data preparation
- Finding patterns & trends before modelling
- Charts with Matplotlib & Seaborn
- Dashboards in Power BI or Tableau & data storytelling
By the end: You can prepare a messy dataset, explore it and present what it shows in plain language.
Phase 3 of 3
Machine learning & capstone
Build, evaluate and explain supervised and unsupervised models, then complete end-to-end projects.
- Linear & logistic regression
- Decision trees & random forests
- Clustering & customer segmentation
- Model evaluation, cross-validation & avoiding overfitting
- Capstone project & GitHub portfolio
By the end: You can build and evaluate a basic machine learning model and defend your approach.
Why learn it now
Why learn Data Science now
Businesses in almost every sector now rely on data for decisions, so these skills fit analyst and junior data science roles and form a strong base for machine learning, deep learning and artificial intelligence.
Python for dataStatistics & probabilitySQL & databasesData cleaning & EDAFeature engineeringVisualisation & dashboardsMachine learningModel evaluation
PythonJupyter NotebookNumPy & PandasMatplotlib & SeabornPower BI / TableauSQL (MySQL or PostgreSQL)Scikit-learnMicrosoft ExcelGit & GitHub
Eligibility
Built for where you are now
Graduates or final-year students; basic maths and logic recommended.
Graduates & postgraduates
Technical and non-technical streams alike, adding a skill employers actively look for.
Working professionals
Use data for better decisions in IT, finance, marketing, operations or HR, or move into analytics.
Business owners
Understand your sales, customer and inventory data without depending on others.
Job switchers
A structured path into data analyst, business analyst or junior data scientist roles.
Freelancers
Offer analytics, dashboards and reporting services to clients.
Toolchain
Real tools, not slideware
You install, configure and ship with every one of these in the lab — the stack employers expect on day one.
Python
Core data science language
Jupyter Notebook
Writing & running analysis code
NumPy & Pandas
Loading, filtering & transforming data
Matplotlib & Seaborn
Charts & statistical visualisation
Power BI / Tableau
Interactive dashboards
SQL (MySQL or PostgreSQL)
Pulling data from relational databases
Scikit-learn
Machine learning models & evaluation
Microsoft Excel
Quick spreadsheet analysis
Git & GitHub
Version control & project portfolio
Industry recognised
Course Completion Certificate
QR-verifiable certificate with your course, duration, registration number and certificate ID.
Live project
Project Completion Certificate
Names the live project you built, its tools and dates — issued with your internship letter for university training credit.
Certification
Proof you can put on the table
Every certificate has a unique number that anyone can verify on techcaddjalandhar.com.
Industry certificate
Online-verifiable certificate listing your modules, projects and grade.
Internship letter
Experience letter for your live-project internship, accepted for university credit.
Portfolio of projects
Four reviewed projects on GitHub or Behance that you can walk an interviewer through.
Placement support
Resume and portfolio review, mock interviews and referrals until you are hired.
Future scope
Where Data Science can take you
Straight answers to the career questions students ask us most.
01Which job roles can I apply for?
Data analyst, business analyst, junior data scientist, BI developer, reporting analyst and machine learning associate are the roles this training prepares you for.
02How does a data science career grow?
With experience you can grow into senior data scientist, analytics manager or AI specialist roles.
03Can I freelance in data science?
Yes. Many learners offer data cleaning, dashboard creation, reporting and analysis on freelance platforms. A portfolio of two or three solid projects makes it much easier to win your first clients.
04Who hires data scientists in North India?
In Punjab, manufacturing, exports and agri-tech use analytics for demand planning, quality control and supply chain decisions, and the Mohali IT cluster hires analysts. Across North India, e-commerce, logistics, automobile, fintech, tourism and pharma businesses need people who understand data, and remote roles let you apply beyond your home state.
05What should I learn next?
Data science connects directly to machine learning, deep learning and artificial intelligence. Once you are comfortable with Python, statistics and modelling, moving into these advanced areas becomes much easier.
Portfolio projects
Four builds, one portfolio
Each project is reviewed by a trainer and published to your portfolio before you move on.
- Fundamentals build
Exploratory analysis of a sales dataset
Clean a real-style dataset in Pandas, test simple hypotheses and visualise the patterns in a notebook.
- Pandas
- Statistics
- EDA
- Real-world challenge
Customer churn prediction
Build and compare classification models that predict which customers are likely to leave, and explain the result.
- Scikit-learn
- Classification
- Live client brief
Customer segmentation & dashboard
Work from a business brief: query the data with SQL, group customers with clustering and present the segments in a dashboard.
- SQL
- Clustering
- Dashboard
- Portfolio capstone
End-to-end sales forecasting project
Frame the question, prepare the data, build and evaluate a forecasting model, and publish the work on GitHub.
- Python
- Regression
- GitHub
How every class runs
The working loop
Repeated for every module, so the job feels familiar before you get it.
- 1
Understand the brief
Every task starts like a real job: a brief, a deadline and a clear definition of done.
- 2
Build with guidance
You build it yourself in the lab while a mentor reviews your work and unblocks you.
- 3
Present & defend
Demo your work and answer questions — practice for interviews and client calls.
Why TechCADD
Why students pick TechCADD
Practising trainers
Mentors who still ship real projects for clients.
Live project coursework
Real briefs, not copy-paste sample projects.
Small batches
Personal attention and same-day doubt clearing.
Internship included
Longer tracks include an internship and experience letter.
Placement support
Resume, mock interviews and referrals to 500+ partners.
Since 2007
Nearly two decades of training students across North India.
Compare
TechCADD vs other institutes
What changes when training is built around live work.
| What matters | TechCADD | Typical institute |
|---|---|---|
| Training style | Hands-on labs every class | Mostly theory & slides |
| Projects | Live client briefs & capstone | Sample projects only |
| Batch size | Small batches | Large classrooms |
| Trainer background | Working industry professionals | Full-time trainers only |
| Internship | Included in longer tracks | Rarely offered |
| Placement support | Resume, mock interviews & referrals | Job list on request |
| Doubt clearing | Same day, 1:1 if needed | Weekly, if at all |
| Certification | Verifiable certificate + internship letter | Paper certificate |
Why This Program
Why Choose This Data Science Course?
Every industry now makes decisions from data, from retail and banking to healthcare, logistics and education. Companies need people who can turn raw numbers into clear decisions, and demand for these skills in India continues to grow. A well-structured data science course gives you a practical route into this field, whether you are starting fresh or upgrading your current career.
01
Learn the Full Workflow, Not Just Theory
Many learners study Python or statistics in isolation and then struggle to use them on real problems. This program follows the complete data science workflow:
- Framing a business question
- Collecting and cleaning data
- Exploring and visualising patterns
- Building and testing predictive models
- Presenting insights to non-technical people
Working through this cycle repeatedly is what builds job-ready confidence.
02
Portfolio Projects You Can Show
Employers and freelance clients trust proof of work more than certificates alone. You will build projects with real-style datasets, such as sales forecasting, customer segmentation or dashboard reporting, which you can add to your resume, GitHub profile or LinkedIn.
03
A Path for Career Switchers
You do not need to leave your job or restart from zero. Professionals from finance, marketing, operations and IT already understand business context, and that is a real advantage in analytics. The program helps you add the technical layer on top of what you already know.
04
Freelancing and Remote Work Options
Skills in data analysis, dashboards and reporting are in demand on freelance platforms and with remote teams. Learners who live outside big cities can work with clients and companies in Bengaluru, Hyderabad, Pune or Mumbai without relocating, which makes this field especially useful for those who prefer to stay close to home.
05
Flexible Learning That Fits Your Schedule
Live online classes with the option of classroom learning mean you can study alongside a job or a business. You get the structure of a guided batch without giving up your current commitments.
06
A Strong Base for Advanced Fields
Data science connects directly to machine learning, deep learning and artificial intelligence. Once you are comfortable with Python, statistics and modelling, moving into these advanced areas becomes much easier. You are building a foundation, not a dead end.
07
Is This Data Science Course Right for You?
If you want a skill with strong demand, flexible career options and clear room to grow, this program is a practical choice. You do not need to be a coding expert to begin. You need consistency, curiosity and the willingness to practise.
Learn from Anywhere
Learners from Across States
Live online classes let learners from across North India join the same batch without relocating. Each region has its own reasons to learn data science:
Punjab
A data science course in Punjab helps learners from Ludhiana's manufacturing and export units apply analytics to demand forecasting and production planning.
Haryana
A data science course in Haryana suits professionals in Gurugram's MNC, e-commerce and logistics sectors who want to move into analytics roles.
Himachal Pradesh
A data science course in Himachal Pradesh lets learners in Shimla, Solan and other hill towns build skills for remote jobs and freelancing, without leaving home.
Chandigarh
A data science course in Chandigarh suits IT and BPO professionals in the Tricity and Mohali who want to upgrade from support roles to analytics.
Delhi
A data science course in Delhi prepares freshers for the country's largest job market, with demand from agencies, fintech firms and e-commerce companies in Noida.
Jammu & Kashmir
A data science course in Jammu and Kashmir helps online sellers, tourism operators and handicraft entrepreneurs in Jammu and Srinagar study customer and sales trends.
Uttarakhand
A data science course in Uttarakhand fits learners in Dehradun's education sector and the pharma and hospitality industries who want to work with data.
Rajasthan
A data science course in Rajasthan benefits Jaipur's tourism, jewellery and textile businesses, where seasonal demand analysis matters.
Uttar Pradesh
A data science course in Uttar Pradesh suits learners targeting IT, electronics, retail and government-sector analytics roles in Lucknow and Meerut.
Student reviews
From people who trained here
4.9750+ Google reviews
Learning modes
Learn the way that fits your week
Switch modes if your schedule changes — your projects and progress move with you.
Classroom training
Lab-based batches at our North India branches.
Online live classes
Interactive live sessions with recordings for revision.
Weekend batches
Saturday–Sunday batches for college students and working people.
1-on-1 training
Personal mentoring at your pace and schedule.
FAQ
Questions about Data Science
22 questions
Do I need programming knowledge to start?
No. You can start as a complete beginner: the training begins with Python basics and builds step by step to statistics, SQL and machine learning. Regular practice matters more than prior experience.
What do I need to take part?
A laptop with a stable internet connection, basic school-level maths and curiosity about how data drives business decisions.
Which tools will I work with?
Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn, SQL, Scikit-learn, Excel, Git and GitHub, along with a dashboard tool such as Power BI or Tableau.
Can I learn online, or do I have to attend in Jalandhar?
You can choose live online classes or classroom learning at the Jalandhar centre. Online learners attend the same live sessions, get doubt support and complete the same projects.
How is data science different from data analytics?
Data analytics mainly studies past data to explain what happened, while data science goes further and builds models to predict what may happen next. In practice the two overlap, and this training covers both, so you can pursue either type of role.
Who can join the data science course at Techcadd?
Graduates, postgraduates, working professionals, job switchers, freelancers and business owners can all join, and 12th-pass students can too if they are comfortable with basic maths. You do not need a coding background, because the program starts from the fundamentals.
Do I need programming knowledge to learn data science?
No, you can start as a complete beginner. The course begins with Python basics and builds up step by step to statistics, SQL and machine learning. Regular practice matters more than prior experience.
What is covered in the data science course syllabus?
The syllabus covers Python, NumPy and Pandas, statistics and probability, SQL, data cleaning and exploratory analysis, data visualisation with Power BI or Tableau, machine learning with Scikit-learn, and capstone projects. Each module includes hands-on practice, so you work with real-style datasets throughout.
Can I learn data science online, or do I have to attend in Jalandhar?
You can choose live online classes or classroom learning at the Jalandhar centre. Online learners attend the same live sessions, get doubt support and complete the same projects, so they do not need to relocate.
Will I get a certificate after completing the course?
Yes, learners who complete the program receive a Techcadd course completion certificate. It adds value to your resume, but employers will judge you mainly on your skills and portfolio projects.
Can I become a freelancer after learning data science?
Yes, many learners offer services such as data cleaning, dashboard creation, reporting and analysis on freelance platforms. A portfolio of two or three solid projects makes it much easier to win your first clients.
Which tools will I learn in this course?
You will work with Python, Jupyter Notebook, NumPy, Pandas, Matplotlib, Seaborn, SQL, Scikit-learn, Excel, Git and GitHub, along with a dashboard tool such as Power BI or Tableau. These are the tools commonly used in analytics teams today.
What is the difference between data science and data analytics?
Data analytics mainly studies past data to explain what happened, while data science goes further and builds models to predict what may happen next. In practice the two overlap, and this course covers both, so you can pursue either type of role.
Can students from Himachal Pradesh join the data science course online?
Yes, students from Himachal Pradesh can join live online classes from Shimla, Solan, Dharamshala or any other town with a stable internet connection. This route also suits those who want to work remotely or freelance without moving to a metro city.
What are the data science job opportunities in Punjab and Haryana?
In Punjab, manufacturing, exports, agri-tech and the Mohali IT cluster hire analysts, while Haryana's Gurugram and Faridabad belts offer roles in e-commerce, logistics, automobile and IT services. Remote jobs with companies in Bengaluru, Hyderabad and Pune are open to learners in both states.
Is a data science course in Delhi or Chandigarh better than learning online from Techcadd?
Location matters less than the quality of training, practice and projects. Learners in Delhi and Chandigarh can attend Techcadd's live online sessions and get the same curriculum and mentoring, while saving travel time and balancing classes with a job.
Can learners from Jammu & Kashmir and Uttarakhand take this course?
Yes, learners from Jammu, Srinagar, Dehradun, Haridwar and nearby areas can join through live online classes. Sellers, tourism operators and professionals in these regions often use data skills to understand customer and sales trends.
Can I study data science from Rajasthan or Uttar Pradesh through Techcadd?
Yes, learners in Jaipur, Lucknow, Meerut and other cities can attend the live online batches and complete the same projects as classroom students. Jobs in these states span tourism, textiles, retail and IT, and remote roles are open too.
Does Techcadd provide job or placement support?
Techcadd offers career support such as resume building, interview preparation and portfolio guidance. These services improve your chances, but they do not guarantee a job, so steady practice and project work remain essential.
Is placement guaranteed?
No institute can honestly guarantee a job. We provide placement assistance — resume and portfolio reviews, mock interviews and referrals to 500+ hiring partners — and keep supporting you until you are placed.
How do I get fee and scholarship details?
Book a free counselling session or message us on WhatsApp. A counsellor will share the current fee, EMI options and scholarships for your chosen track.
Can I attend a free demo class first?
Yes. Book a free demo using the form on this page or call us. You can attend at any branch or join a live online class.
Not sure if Data Science is the right fit?
Sit in a free demo class or talk to a counsellor about your background and goals — no obligation.
Enquire now
Start your Data Science journey
Tell us a little about yourself — we'll suggest the right track, share fee and scholarship details and book your free demo.
2nd Floor, Crystal Plaza, SCS 78, Opposite PIMS Hospital, Jalandhar, Punjab 144001Mon – Sat: 9:00 AM – 7:00 PM