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🔥 Most Popular in Roorkee

Data Science Training Course in Roorkee With Gen AI by Uncodemy

Uncodemy's Data Science with Generative AI course, built for Roorkee learners, runs 8–9 months as an instructor-led track covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Roorkee participants study live online and can optionally attend classroom batches at our Delhi and Noida centres if they travel to Delhi NCR — with practical projects, recordings and full career-support services included. The current fee is ₹21,500 + GST, with total payable ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

Now Pay Only
₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
No Hidden Charges
100% Transparent
EMI AVAILABLE
Starts at ₹4,622/M
Fill Your Details
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Expert Trainers

Learn from 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Science course included AI— Training & Placement Program Practical, project-first learning designed to build genuine interview-ready Data Science capability.
A fully structured 8–9 month instructor-led track spanning Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI along with real projects, mentoring and dedicated career support.
📚 Learning:
150+ Hours of Learning
⏱️ Program Duration:
8–9 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹21,500 + 18% GST
💰 Total Fee:
₹25,370
💳 EMI:
Starting From ₹4,622/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Science Course in Roorkee — Quick Facts

🎓 Course:
Data Science with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
150+ Hours
📖 Curriculum:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Modes:
Live Online (Offline available only at Delhi & Noida centres)
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
27 September 2026

List of Placed Students Trained by Uncodemy

Graduates of Uncodemy's Data Science program come away with demonstrable capability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are finished, eligible candidates can move into roles such as Data Scientist, Data Analyst or Machine Learning Engineer.

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
Read placement record

What is Data Science?

Data science is the field that turns raw, messy data into decision-grade insight and forward-looking predictions, bringing together statistics, programming and sector knowledge. In practice, it moves from gathering and tidying data, through model building and validation, to explaining what the numbers actually say. Businesses lean on it to decode customer behaviour, forecast demand, spot fraud early, personalise offers and replace manual workflows with automated ones.

What does a data scientist do? Day-to-day, a data scientist draws data from databases and business systems, cleans and explores it, trains and validates machine learning models, and turns the output into advice decision-makers can act on. A typical week includes writing Python and SQL, tuning models, presenting metrics to stakeholders, and keeping a live model healthy in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics explains what happened and why. Data science predicts what will happen next. Business analytics focuses on business processes and strategy.

Aspect Data Analytics Data Science Business Analytics
Core question What happened, and why? What will happen next? What should the business do?
Coding depth Low to moderate High Low
Typical entry salary ₹3–6 LPA ₹4–8 LPA ₹4–7 LPA
Time to job-ready 6–7 months 8–9 months 5–6 months

Salary ranges are indicative and vary by role, skills, experience, location and employer.

Course Overview

Roorkee participants move through this Data Science program across 8–9 months, with 90+ live sessions and 150+ learning hours delivered through eleven modules that stack on one another — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, plus a focused module on how AI tools fit into day-to-day data science. Every module wraps with hands-on exercises on real datasets, and the program closes with capstone projects that become your interview portfolio. Roorkee learners attend live online sessions — a format that fits working professionals across Civil Lines, Ramnagar, Gangnahar, Adarsh Nagar, Jhabrera Road, Salempur and the wider Upper Ganga Canal belt, and anyone aiming at analytics roles in Roorkee, Haridwar, Dehradun, Noida or Delhi NCR — with classroom access at our Delhi and Noida centres if you travel to Delhi NCR.

Who should join this course:

  • Roorkee and Upper Ganga Canal belt learners who want live online classes with a structured career path into analytics.
  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into data science or analytics.
  • Working professionals in engineering, manufacturing, education, healthcare, sugar and agro-processing, canal and irrigation works, PSUs or family businesses who already work with data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role, including those working in the SIDCUL Haridwar and BHEL Haridwar industrial belts and the Laksar–Roorkee sugar and agro-processing corridor.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.

Eligibility: Any graduate from any discipline can join. No programming background is assumed — Python and SQL start from the very first line of code. Basic comfort with mathematics is helpful but not required, since the statistics module builds it up from scratch. For the practical sessions, we recommend an 8GB RAM laptop and a reliable internet connection.

Upcoming Data Science Course Batches in Roorkee

Choose a batch timing that fits your work or study schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training

Weekdays

Date Time Trainer Seats Left
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seats
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seat
06Oct 12:00 PM – 01:00 PM Mr. syed Najeeb 01Seats
19Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar tiwari 02Seat

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Irshad 02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculums for Data Science Training Courses In Roorkee

Data Science Course Syllabus in Roorkee

The syllabus breaks down into eleven modules covering 150+ hours of learning, arranged in the sequence data scientists actually operate in — acquire data, clean it, analyse it, build models, deploy them, and communicate findings. Each module ends with a graded practical assignment on a real dataset, and the closing module brings everything together into portfolio projects.

Module 1: Python for Data Science — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 2: SQL & Database Management — 15 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Statistics & Probability for Data Science — 15 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 4: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 5: Machine Learning (Supervised & Unsupervised) — 25 Hours

  • Linear and logistic regression
  • Decision trees, random forests and ensemble methods
  • Support Vector Machines and K-Nearest Neighbours
  • K-Means clustering, hierarchical clustering and PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation, hyperparameter tuning and pipelines

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions and backpropagation
  • TensorFlow and Keras basics
  • Feed-forward neural networks and regularisation
  • Convolutional Neural Networks (CNN) for images
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning and model fine-tuning

Module 7: Natural Language Processing (NLP) — 10 Hours

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Topic modelling with LDA
  • Introduction to transformers and BERT

Module 8: Power BI & Tableau for Data Science — 15 Hours

  • Power BI: connecting to Excel, SQL, CSV and web sources
  • Data modelling, relationships and DAX measures
  • Dashboard design, filters, slicers and drill-through
  • Tableau: dimensions, measures, calculated fields
  • Filters, groups, sets, parameters and dashboards
  • Publishing dashboards for business stakeholder review

Module 9: Generative AI, LLMs & Prompt Engineering — 10 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model versioning and experiment tracking with MLflow
  • Packaging models with Flask/FastAPI
  • Deploying models to cloud (AWS/GCP/Azure basics)
  • Monitoring model performance and drift
  • CI/CD basics for ML pipelines
  • Retraining strategies and data versioning

Module 11: Capstone Projects & Career Preparation — 10+ Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Data science resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy
2 SQL & Database Management 15 MySQL
3 Statistics & Probability for Data Science 15 Excel, Python
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning (Supervised & Unsupervised) 25 Scikit-learn
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing (NLP) 10 NLTK, spaCy
8 Power BI & Tableau for Data Science 15 Power BI, Tableau
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 MLflow, Flask, Cloud
11 Capstone & Career Prep 10+ All tools
Total 150+ Hours 15+ tools

Contacted by

UT

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization:Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

Get Your Data Science Certification In Roorkee

Once you finish all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools covered and completion date along with a verification reference. The certificate is issued after the required coursework and assessment are completed, giving you a formal record of finishing the Uncodemy Data Science program.

The certificate is bundled with the practical work you produce during the program. Learners complete assignments and projects using every Data Science tool covered in the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project gives you a chance to apply everything you have learned to one real-world problem.

Key Benefits of Our Data Science Certification:

  • Program Completion :Provides a record of successful completion of the Data Science program.
  • Online Verification :The certificate includes a verification reference that can be checked online.
  • Practical Learning :The training includes assignments, projects and a capstone project using Data Science tools.

The Data Science course in Roorkee provided by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified online through the official Uncodemy Certificate Portal.

Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com
 IIBA Endorsed Education Provider certificate — Uncodemy
 Uncodemy Data Science Program Certificate
 Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


Portfolio review:Your experience and guided projects are reviewed and refined into a data science portfolio an interview will find credible.

Resume & LinkedIn:We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.

Interview preparation:Python and SQL problem sets, ML case studies, and behavioral questions specific to data science hiring.

Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.

Opportunity sharing:Relevant openings from our hiring network of 850+ companies are shared with you, with support through the application and interview process.

Continued support:This is active assistance, not a guarantee of employment — no training institute can honestly promise a job. Support continues after your program ends for learners who stay engaged with the process.

Instructors

The people who actually teach this course

Live online sessions for Roorkee learners are delivered by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, with 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off the curriculum on this page.

Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our Data Science Training in Roorkee Today!

Register today for Uncodemy's Data Science Training designed for Roorkee learners! Build practical Data Science skills through live instructor-led sessions, real projects, hands-on assignments and structured career preparation. Begin your Data Science journey with practical training and guided interview readiness.

Data Scientist Jobs and Career Scope in Roorkee+

Roorkee is a compact but strategically important city in Haridwar district, Uttarakhand — globally recognised as the home of IIT Roorkee (established 1847, Asia's oldest engineering institution) and for the Upper Ganga Canal headworks at Haridwar, which made the town a historic hub for canal and irrigation engineering. The city sits on the Delhi–Dehradun national corridor (NH-334/NH-58), roughly 30 km from Haridwar, 65 km from Dehradun, 100 km from Meerut and about 180 km from Delhi NCR. The regional economy stretches across the SIDCUL Haridwar industrial estate (pharma, auto components, FMCG, packaging), BHEL Haridwar (one of India's biggest PSU engineering units), a sugar and agro-processing belt across the Laksar–Roorkee–Manglaur corridor, paper and engineering units, and a very strong education and coaching ecosystem driven by IIT Roorkee, the University of Roorkee legacy, and surrounding coaching institutes. Employers in the wider Roorkee–Haridwar–Dehradun belt hire data analysts and data scientists for manufacturing and quality analytics (SIDCUL and BHEL belts), pharma quality and supply-chain analytics, energy and process analytics, education and edtech analytics, agri-processing and sugar-mill analytics, and BFSI/back-office reporting. Because Roorkee sits on the Delhi–Dehradun corridor, learners here can also access remote roles or commute to Delhi NCR more easily than most tier-3 cities. Employers consistently expect working Python, SQL and at least one ML project, and this program is designed to deliver that portfolio.

Job Roles After This Course+

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate are the roles this course maps to. These roles overlap heavily in the underlying skill set — Python for data manipulation and modelling, SQL for pulling and shaping data, and a BI tool for building dashboards that stakeholders can self-serve from — but they differ in who you report to and what decisions your output feeds into.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow
Machine Learning Engineer Python, TensorFlow, MLflow, Cloud
Data Analyst SQL, Excel, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer Python, SQL, ETL, Cloud
AI/ML Research Associate Python, PyTorch, NLP
Most graduates start as a Data Analyst or Junior Data Scientist and move into the others with two to four years of experience, as they build domain knowledge in a specific function such as manufacturing, pharma, education, energy or finance. For Roorkee learners, Data Analyst and Business Intelligence roles are often the easiest to enter locally — SIDCUL Haridwar plants, BHEL Haridwar, sugar and agro-processing units in the Laksar–Roorkee– Manglaur corridor, engineering firms, and education institutions hire analysts for quality, production, supply-chain and reporting work. Remote roles and roles in Dehradun, Noida, Gurgaon or Delhi NCR are also common paths.

Data Scientist Salary in Roorkee — Experience-wise+

What you earn in a Roorkee-based data role depends on whether you work locally, remotely, or after relocating to Dehradun, Noida, Gurgaon or Delhi NCR. Local Roorkee, Haridwar and SIDCUL employers typically pay in the middle of national ranges — lower than the Delhi NCR and Bengaluru metros, but with a materially lower cost of living and shorter commutes. Because Roorkee is only about 180 km from Delhi NCR on a good expressway corridor, many learners can credibly target Noida, Gurgaon or Delhi roles — either commuting or working remotely — and those roles typically pay close to metro rates for the same skills. A candidate who can only build dashboards typically sits at the lower end of a band; one who can also build and deploy ML models, write efficient SQL and present a clear recommendation tends to move to the top of the same band, and progress out of it faster.
Career Level / Role Indicative Salary Range
Internship / Trainee ₹10k–30k/month
Fresher Data Analyst ₹3–6 LPA
Fresher / Junior Data Scientist ₹4–8 LPA
Strong fresher with good projects + skills ₹6–10 LPA
Data Scientist (1–3 years) ₹8–15 LPA
Data Scientist (3–5 years) ₹12–20+ LPA
Strong experienced candidate / product company ₹20–30+ LPA
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. For Roorkee specifically, local pharma, engineering, education and PSU-adjacent roles tend toward the middle of each band, and remote or Dehradun, Noida, Gurgaon and Delhi NCR roles typically pay closer to the top. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Roorkee+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Roorkee and the wider Haridwar–Dehradun belt, data science demand is strongest in:
  • Pharma, healthcare and life sciences— quality, batch, R&D and supply-chain analytics across pharma units in SIDCUL Haridwar and the wider Uttarakhand pharma corridor
  • Engineering, manufacturing and PSU-adjacent units— production, quality, warranty and after-sales analytics across BHEL Haridwar and the auto-component, FMCG and packaging units in SIDCUL Haridwar and the Roorkee–Haridwar belt
  • Sugar, agro-processing and FMCG— production, yield, energy and supply-chain analytics across sugar mills and agro-processing units in the Laksar–Roorkee–Manglaur corridor and the wider Upper Ganga Canal belt
  • Education, edtech and coaching— analytics for universities, coaching institutes and edtech firms driven by IIT Roorkee, the University of Roorkee legacy and the wider education ecosystem in and around Roorkee
  • BFSI, IT services and remote roles for NCR/Dehradun firms— banks, NBFCs and IT firms hire analysts for reporting and operations; Dehradun, Noida, Gurgaon, Delhi and Bengaluru companies hire remote-first analysts and data scientists, which is the most common high-paying path for Roorkee learners
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job, especially when employers expect practical skills, problem-solving ability, and real-world experience.
  • Build Python depth— data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn SQLto a working standard — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn statistics— enough to run a hypothesis test and read a regression output, so your conclusions hold up when someone questions them.
  • Master machine learning— regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Add deep learning— neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build three to five portfolio projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare and apply— Python and SQL practice, ML case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools.
Typical timeline:8–9 months of consistent study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

How This Course Compares to Other Data Science Courses in Roorkee+

Roorkee has a limited number of local data science training options because it is a smaller city — most of what is available locally is either IIT-affiliated academic programs or small coaching centres. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 8–9 months
Learning hours 150+ hours
Tools covered 15+ tools
Gen AI module Dedicated 10-hour module
Projects 5 guided + 1 capstone
Career support Resume, LinkedIn, mock interviews, hiring network
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Python, SQL, ML and a BI tool depending on the task, rather than being strong in only one. Where we are not the cheapest option: shorter self-paced or online-only courses cost less. If your goal is a quick Excel and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it's worth being honest with yourself about which of the two you actually need.

Online vs Offline vs Hybrid — Which Should You Choose?+

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality. Live Online is the format that most Roorkee learners choose — you join live sessions from home after work, fit classes around a job or coaching schedule, and don't need to travel. This works well for working professionals and students across Civil Lines, Ramnagar, Gangnahar, Adarsh Nagar, Jhabrera Road, Salempur and the wider Upper Ganga Canal belt. Classroom at our Delhi and Noida centres is more achievable from Roorkee than from most tier-3 cities, because Roorkee is roughly 180 km from Delhi NCR on the Delhi–Dehradun corridor — so learners who travel to Delhi NCR regularly for work, family or coaching can reasonably attend classroom sessions. Hybrid (occasional in-person sessions at Delhi/Noida plus live online) suits learners who split their time between Roorkee and Delhi NCR. All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

If you want... Recommend
Only Excel + Power BI basics A shorter course may be sufficient
Full data science career transition This program
Analytics role in Roorkee/Haridwar pharma, engineering or education sector This program
Remote or Dehradun/Noida/Gurgaon analytics role This program
Business-focused analytics Consider Business Analytics
Self-paced learning Recorded course

Frequently Asked Questions

1. What is the duration of the Data Science course in Roorkee?▼

The full duration is 8–9 months, with 150+ learning hours delivered through 90+ live classes. Both weekday and weekend live online batches are available to Roorkee learners.

2. Can I learn data science without a coding background?▼

Yes, absolutely no coding background is needed. The opening month builds Python fundamentals and Excel from zero, and SQL only starts once you are comfortable with basic Python.

3. What tools are covered in this course?▼

You will practise 15+ tools, including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow

4. Does the course include a Gen AI module?▼

Yes — Module 9 devotes 10 hours to Generative AI, LLMs and prompt engineering, covering AI-assisted coding, checking AI output, data-privacy limits and responsible daily usage.

5. How many projects will I complete?▼

You will complete five guided projects covering retail, banking, HR, e-commerce and healthcare, plus one capstone project of your own. All six become portfolio pieces you can show in interviews.

6. Are the classes live or pre-recorded?▼

All 90+ sessions are live and taught by instructors. Recordings are provided afterwards for revision, and both live online and classroom batches cover exactly the same syllabus.

7. What is the fee for the Data Science course in Roorkee?▼

The program fee is ₹21,500 plus 18% GST, taking the total to ₹25,370. Every session, study resource, project, certificate and career-support service is included — no separate charges. EMI starts at ₹4,622 per month across 6 months.

8. Are EMI options available?▼

Yes — EMI begins at ₹4,622 per month on a 6-month tenure. The exact amount, tenure and eligibility vary by the payment or financing plan, and your counsellor will confirm the option that applies to you.

9. Is there a demo class before I enrol?▼

Yes — you can join a free live online demo session first to experience the trainer's teaching style and go through the curriculum before paying anything. Just get in touch to book a slot.

10. Do you provide placement assistance?▼

Yes — we provide dedicated career and placement assistance covering resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing across our 850+ company network. We do not guarantee employment because hiring decisions rest with employers.

11. Can a fresher get a data scientist job after this course?▼

Yes, freshers regularly step into entry-level positions. Employers look for working Python and SQL skills, at least one ML project and a demonstrable portfolio — this program delivers all three. Indicative entry-level Data Scientist pay in Roorkee and across Uttarakhand is ₹4–8 LPA.

12. What is the salary of a data scientist in Roorkee?▼

Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local Roorkee and Haridwar roles in pharma, engineering, education and PSU-adjacent companies typically sit in the middle of these bands, while Dehradun, Noida, Gurgaon and Delhi NCR roles usually pay closer to the top. Uncodemy does not guarantee any specific salary outcome.

13. What job roles can I apply for after this course?▼

The course maps to roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates start as a Data Analyst or Junior Data Scientist.

14. Who is eligible for this Data Science course?▼

Any graduate from any discipline can apply. No prior coding or analytics experience is required. Final-year students, working professionals and career changers are all welcome.

15. Are the salary, placement and review figures on this page guaranteed?▼

All statistics come from Uncodemy's internal records and publicly available review-platform information. Ratings and review counts can change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.

16. Is classroom training available in Roorkee?▼

There is no physical Uncodemy centre in Roorkee. Roorkee learners join live online batches, which carry the identical syllabus, trainers and projects as classroom. The nearest physical centres are in Delhi and Noida — Roorkee sits roughly 180 km from Delhi NCR, so classroom attendance is more achievable from here than from distant cities, though most Roorkee learners still choose live online.

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Nearest Classroom Training Centres

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Delhi Centre (nearest — for travel)
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre
B 14-15, Udhyog Marg, Block B, Sector 1, Near Noida Sector-15 Metro Station, Uttar Pradesh 201301
Free demo classWalk-ins welcomeWheelchair accessible
📍 Delhi (Head Office) — Open in Google Maps
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