Month 01
Data science foundations & Python basics
Understand what data science is and start writing Python with no coding background assumed.
- Python
- Jupyter Notebook
- Microsoft Excel
Project: First Python notebook
After 12th · 6-month trackMost chosen
You collect, clean and analyse data, then build models that predict what may happen next, such as future sales or which customers may leave.
4.9 on Google750+ reviews
Certificate Program
Data Science
6months
Half a year, finishing with a portfolio.
Data Science is taught from the fundamentals, so you do not need a coding background to begin. You learn Python, statistics and SQL first, then move to data cleaning, visualisation and machine learning, with each module building on the one before it. Every major topic is followed by hands-on work on real-style datasets, and doubts are cleared during the class. By the end you understand the full workflow, from framing a business question to presenting insights, and have projects to show for it.
The 6-month certificate program takes you from zero to a portfolio. You move forward when a project is finished and reviewed, not when the calendar says so — by the end you have six projects, an industry certificate and placement support for entry-level Data Science roles.
Your 6 months at a glance
By the end of the data science certificate program you can do each of these on your own.
You can describe data with statistics and test whether a result is meaningful.
You can write queries that join, filter and aggregate business data from a relational database.
You can turn a messy dataset into a prepared one and describe the patterns inside it.
You can create charts and a dashboard that help non-technical people make a decision.
Month 01
Understand what data science is and start writing Python with no coding background assumed.
Project: First Python notebook
Month 02
Use the core Python data libraries to load and reshape real datasets.
Project: Dataset preparation notebook
Month 03
Learn the statistics that every analysis and model depends on.
Project: A/B test analysis
Month 04
Pull business data from relational databases with SQL.
Project: Business data query report
Month 05
Prepare messy data properly and find the patterns in it before building any model.
Project: Exploratory data analysis
Month 06
Present what the data shows through charts, dashboards and a clear story.
Project: Dashboard report
Pick a month to see exactly what is taught, which tools you use and what you ship.
Month 1 of 6
Understand what data science is and start writing Python with no coding background assumed.
Tools this month
You ship
First Python notebook
Write a Jupyter notebook that reads a small dataset and answers simple questions with basic Python.
Month 2 of 6
Use the core Python data libraries to load and reshape real datasets.
Tools this month
You ship
Dataset preparation notebook
Load two related datasets, merge them and prepare a tidy table with Pandas.
Month 3 of 6
Learn the statistics that every analysis and model depends on.
Tools this month
You ship
A/B test analysis
Compare two versions of a campaign using statistics and state which one performed better and why.
Month 4 of 6
Pull business data from relational databases with SQL.
Tools this month
You ship
Business data query report
Answer a set of business questions from a practice database using joins, subqueries and window functions.
Month 5 of 6
Prepare messy data properly and find the patterns in it before building any model.
Tools this month
You ship
Exploratory data analysis
Clean a real-style dataset, engineer useful features and write up the trends you find.
Month 6 of 6
Present what the data shows through charts, dashboards and a clear story.
Tools this month
You ship
Dashboard report
Build an interactive dashboard from a business dataset and present its insights in plain language.
12 tools across 6 months — introduced only when a project needs them.
Everything is installed in our labs. On your own laptop, a mentor helps you set it up in the first week.
Arts, commerce, medical or non-medical — start Data Science from zero, before or alongside your degree.
BCA, B.Tech, B.Sc or B.Com students who want real project work next to their syllabus.
Finished a degree in another field? Build job-ready Data Science skills with a portfolio to prove them.
Learn enough Data Science to take paid work or bring the skill into your own business.
Most learners stop at: Python or statistics studied in isolation
You get to: The full data science workflow
Most learners stop at: Explaining what already happened
You get to: Predicting what may happen next
Most learners stop at: A certificate on its own
You get to: Portfolio projects you can show
Most learners stop at: Results only you can follow
You get to: Insights presented to non-technical people
Ten minutes on a call is enough to know whether 6 months of Data Science fits your stream, your college plans and your goal.

6 reviewed projects
You finish the data science certificate program with proof of what you built — not only a piece of paper.
Online-verifiable certificate that lists your modules, projects and grade.
Issued for live-project work on the longer tracks and accepted for college credit.
One reviewed project per month that you can walk an interviewer through.
Resume review, mock interviews and referrals to our hiring partners.
Four roles Data Science learners grow into — each one builds on the last.
Role 1 of 4
Prepares data and builds and tests predictive models for business problems.
Role 2 of 4
Explores data and reports the insights that guide decisions.
Role 3 of 4
Uses data to study business questions and explain findings to teams.
Role 4 of 4
Supports the building and evaluation of machine learning models.
Every topic in every month runs through the same three steps.
Step 1
A short concept class with a worked example — you see why before you see how.
Step 2
You build it yourself in the lab while a mentor reviews your work and unblocks you.
Step 3
You demo the result and answer questions — practice for every interview to come.
A first course after 12th should leave you with skills you can show, not notes you can't use.
You move on when your project is reviewed and working — not when the month ends.
The same tools, devices and accounts that working teams use every day.
Mentors who deliver client projects, so what you learn is what is used.
Start with 3 months and continue to 6 or 9 without repeating a single class.
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
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:
Working through this cycle repeatedly is what builds job-ready confidence.
02
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
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
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
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
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
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.
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:
A data science course in Punjab helps learners from Ludhiana's manufacturing and export units apply analytics to demand forecasting and production planning.
A data science course in Haryana suits professionals in Gurugram's MNC, e-commerce and logistics sectors who want to move into analytics roles.
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.
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.
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.
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.
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.
A data science course in Rajasthan benefits Jaipur's tourism, jewellery and textile businesses, where seasonal demand analysis matters.
A data science course in Uttar Pradesh suits learners targeting IT, electronics, retail and government-sector analytics roles in Lucknow and Meerut.
22 questions
6 months, with one module and one reviewed project per month. Classes are practical first: most of every session is spent building.
They share one roadmap. 3 months covers the foundations with guided projects, 6 months reaches portfolio level with an industry certificate and placement support, and 9 months adds specialisation, an internship-style capstone and placement preparation.
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, and regular practice matters more than prior experience.
Yes. 12th-pass students can join if they are comfortable with basic school-level maths and ready to learn step by step. A coding background is not needed because the program starts from the fundamentals.
Data analytics mainly studies past data to explain what happened, while data science goes further and builds models to predict what may happen next. The two overlap in practice, and this roadmap covers both.
Industry certificate, a portfolio of 6 reviewed projects and placement support with resume review, mock interviews and referrals.
Yes. The program starts from zero and is open to arts, commerce, medical and non-medical students. You only need basic computer skills.
Yes. Morning, evening and weekend batches are available, and live online classes come with recordings for revision.
No institute can honestly guarantee a job. We give placement support — resume and portfolio reviews, mock interviews and referrals — and keep helping until you are placed.
Book a free counselling session or message us on WhatsApp. A counsellor will share the current fee, instalment options and scholarships for your chosen program.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Tell us your stream and goal — we will suggest the right duration, share fee 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
Sit in a free demo class first. If Data Science is not for you, a counsellor will help you find what is.