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🔥 Most Popular in dehradun

Data Science Training Course in dehradun With Gen AI by Uncodemy

Aspirants based in dehradun can enrol in Uncodemy's Data Science with Generative AI program — an 8–9 month instructor-led course that spans Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes run live online for dehradun participants, and classroom access is provided at the Delhi and Noida centres for those who travel to Delhi NCR. The program carries real project work, recorded lessons and career-support services. At present, the course fee is ₹21,500 + GST, making the total ₹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
🔒 Your information is safe and secure.

Expert Trainers

Learn alongside professionals with 8+ years of experience

Live Projects

Build skills through live projects and case studies

Lifetime Access

Keep lifetime access to recordings and learning materials

Dedicated Career & Placement Assistance

Resume development, mock interviews and career support

Certified Course

Receive an Uncodemy completion certificate

Flexible Batches

Online and classroom batches on weekdays or weekends

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in 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 Hands-on learning focused on practical Data Science skills and interview preparation.
A comprehensive 8–9 month instructor-led training program covering Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI with practical projects, mentoring and 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 dehradun — 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 for dehradun (Offline available only at Delhi & Noida centres)
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
3 October 2026

List of Placed Students Trained by Uncodemy

Those who finish Uncodemy's Data Science training gain practical command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Having completed the learning and career-preparation stages, eligible learners can target positions such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for dehradun learners are updated on a regular basis — authenticated outcomes can be viewed at uncodemy.com/placement.

Rahul Gupta
4.5 LPA
India

Rahul Gupta

Data Scientist

Placed at:Makeo

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Aarav
5.5 LPA
India

Aarav

Data Scientist

Placed at:HSBC

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Manjeet Pathak
6.5 LPA
India

Manjeet Pathak

Data Scientist

Placed at:Fiserv

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Aman
6.8 LPA
India

Aman

Data Scientist

Placed at:Fis

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
Shahid
4.8 LPA
India

Shahid

Data Scientist

Placed at:Access Meditech

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar Thakur
6.0 LPA
Noida

Sagar Thakur

Data Scientist

Placed at:Genpact

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
Read placement record
Abhay
5.5 LPA
dehradun

Abhay

Data Scientist

Placed at:Capgemini

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

Ashish Butola

Data Scientist

Placed at:Allsoft Solutions

Data Science Batch
Batch: (DS/12/0823/IR) WE 12 PM
Read placement record
Sahil
3.8 LPA
Mohali

Sahil

Data Scientist

Placed at:Vitraya Technologies

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record

What is Data Science?

Data Science combines statistical methods, programming and subject expertise to turn raw data into meaningful insights and predictions. The domain covers gathering and preparing data, constructing models, judging their performance and communicating results clearly. Companies use it to understand customer behaviour, anticipate demand, uncover fraud, personalise suggestions and automate choices that once needed manual handling.

What does a data scientist do? A data scientist pulls information from databases and business systems, cleans and investigates it, develops and validates machine learning models, and turns the outcomes into business recommendations. Daily responsibilities include writing Python and SQL, training and tuning models, reviewing metrics with stakeholders, and deploying or tracking models in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics studies past events and what caused them. Data science predicts what may happen next. Business analytics applies analysis to steer processes and business 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

The Data Science course designed for dehradun learners extends across 8–9 months and delivers 90+ live sessions alongside 150+ hours of learning. Its eleven modules move through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with dedicated attention to routine use of AI tools in data science. Every module carries practical work on real datasets, and the program closes with guided projects and a capstone project for your portfolio. dehradun learners attend live online sessions, with classroom access at our Delhi and Noida centres when travelling to Delhi NCR.

Who should join this course:

  • 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 operations, sales, finance, HR or marketing who already work with data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.
  • dehradun-based learners who prefer live online training or can travel to Delhi/Noida for classroom training.

Eligibility: Graduates from any discipline can apply. Previous programming experience is not needed because Python and SQL are introduced from the fundamentals. Basic mathematical familiarity is helpful but optional, as the statistics module develops the foundation step by step. Practical sessions are best supported by an 8GB RAM laptop and a stable internet connection.

Upcoming Data Science Course Batches in dehradun

Choose a batch slot that fits your daily routine. Reserve a free demo class or enter an upcoming weekday or weekend live batch, with adaptable timings and practical teaching for students and working professionals. Batch dates, schedules and seat availability are refreshed on a rolling basis. Get in touch with Uncodemy for the latest dehradun/online batch schedule. All timings are in IST.

Weekdays

Date Time Trainer Seats Left
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seats
19Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seat
26Oct 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seats
02Nov 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seat

Weekends

Date Time Trainer Seats Left
28Nov 03:00 PM – 05:00 PM Mr. Irshad Khan 02Seats

Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before enrolling.

Curriculums for Data Science Training Courses in dehradun

Data Science Course Syllabus in dehradun

The syllabus is arranged into eleven modules covering 150+ hours of learning, mirroring the practical data science workflow: acquire the data, prepare it, analyse it, construct models, deploy them and communicate the results. Every module concludes with a graded assignment built on a real dataset, and the final module ties the learning together in 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 dehradun

On completing all eleven modules, the assignments and the capstone project, you are awarded the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools taught and completion date, and includes a verification reference. Certification is granted after the required coursework and assessment are done, serving as evidence of successfully finishing the Uncodemy Data Science program.

The certificate is provided alongside the practical work produced during the program. Learners apply the curriculum's Data Science tools, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI, in their assignments and projects. The capstone project gives learners a chance to apply training concepts in practice.

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.

Uncodemy's Data Science course in dehradun includes a verified Uncodemy Data Science Program Certificate that learners can check online through the official Uncodemy Certificate Portal.

Uncodemy Certificate Verification Online Certificate Verification & Download certificate.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

Uncodemy maintains a clear split between two roles. Trainers deliver the live lessons, whereas domain reviewers are specialists who do not teach the batch and independently confirm that the curriculum is accurate and up to date. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so teaching delivery is not the sole quality checkpoint.

The names, areas of expertise and backgrounds of Uncodemy's trainers and domain reviewers are published, so learners can research them before enrolling.

Enroll in Our Data Science Training in dehradun Today!

Enrol in Uncodemy's Data Science Training for dehradun learners and pick up practical Data Science and Gen AI skills via live online instruction, real project work and targeted career support. Book a demo or trial class to get a feel for the teaching style before you enrol.

Data Scientist Jobs and Career Scope in dehradun+

dehradun stands as a notable education and commercial hub in Maharashtra, with activity spanning manufacturing, IT, education, healthcare, retail, financial services, logistics and business services. Data Science skills can be applied across these sectors for demand forecasts, quality analysis, customer insights, operational reporting and process automation. Learners may chase local roles, work remotely for companies in Delhi NCR, Noida, Bengaluru, Hyderabad and Mumbai, or travel to nearby commercial centres for on-site positions. Employers increasingly expect practical Python, SQL and at least one ML project, and this program is built to help assemble that portfolio. dehradun learners generally join live online batches with the same syllabus, trainers and projects as classroom training.

Job Roles After This Course+

This course links to roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. All of these roles rely on core skills like Python, SQL, statistics and visualisation, but differ in how much modelling and AI work they involve.
RoleCore Tools
Data ScientistPython, SQL, Machine Learning
ML EngineerPython, ML, MLOps
Data AnalystSQL, Python, Power BI/Tableau
Business Intelligence AnalystSQL, Power BI, Tableau
Data EngineerSQL, Python, Data Engineering tools
AI/ML Research AssociatePython, ML, Deep Learning
Many graduates start as Data Analysts or Junior Data Scientists and progress into specialised roles as they gain experience. Completing the course does not guarantee a particular job title, since outcomes depend on skills, experience, interview performance and hiring conditions.

Data Scientist Salary in dehradun — Experience-wise+

The salary table shows an Indicative / dehradun realistic expectation. It is not verified salary information specific to dehradun. Actual compensation can change based on the role, skills, experience, employer, interview performance and market conditions.
LevelSalary 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. Salary ranges are indicative and vary by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in dehradun+

dehradun's economy sustains demand for data skills across several industries. Employers in these fields commonly seek practical Python and SQL knowledge along with at least one ML project.
  • Manufacturing — quality analytics, production forecasting and supply-chain reporting in the automotive, engineering and hardware industries.
  • IT and software services — product analytics, customer behaviour modelling and operational reporting for technology companies and startups.
  • Education — student performance analytics, enrolment forecasting and operational reporting for schools, colleges and coaching institutes.
  • Healthcare — clinical data analysis, patient-flow reporting and hospital operations analytics.
  • Retail, e-commerce and financial services — sales analytics, inventory forecasting, customer segmentation, credit analytics and risk reporting for local and regional businesses.
Uncodemy does not claim verified employer partnerships or hiring figures specific to dehradun. Learners should check current opportunities directly with employers.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist calls for gradual skill development rather than one course alone. Skipping key stages often leaves gaps that surface later in interviews or workplace assignments.
  • Learn Python — data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn Statistics — descriptive statistics, probability, distributions and hypothesis testing, so your conclusions hold up when questioned.
  • Learn SQL — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn Machine Learning — regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Learn Deep Learning — neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build Portfolio Projects — three to five projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare for Interviews — 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 regular study to reach interview readiness, assuming a few concentrated hours on most days instead of occasional intensive study.

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

dehradun and the broader Maharashtra region offer several data science training choices, with differences in course depth, cost and teaching quality. The comparison below helps you assess which option is appropriate for you.
FactorUncodemy
Duration8–9 Months
Learning Hours150+ Hours
Live Sessions90+
Tools15+
Gen AI ModuleYes
Projects5 Guided + 1 Capstone
Career SupportDedicated Career & Placement Assistance
Uncodemy is not necessarily the cheapest option. Before choosing a course, learners should compare curriculum coverage, live instruction, projects, tools, trainer experience, career support, fees and learning format.

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

For dehradun learners, live online is generally the most practical option. Classroom training is available at our Delhi and Noida centres, while dehradun learners usually attend online.
FormatBest forConsiderations
Live Onlinedehradun learners, working professionals, studentsNo commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects
Offline (Delhi/Noida)Learners who can travel to NCRIn-person doubt clearing, classroom environment, but requires commute or relocation
HybridLearners splitting time between dehradun and NCROccasional classroom sessions plus live online
Every format provides live instructor interaction, recordings for revision, doubt-clearing help and the same career support. Where a format change is allowed, switching midway does not remove any part of the program.

Is this course right for you?+

If you want...Course format / suitability
Learn Data Science from basicsSuitable
Build Python + ML skillsSuitable
Learn Gen AISuitable
Work on guided projectsSuitable
Attend live classes from dehradunLive Online
Attend physical classroom trainingDelhi/Noida centres
Switch career into Data ScienceRequires consistent practice
Guaranteed employmentNot guaranteed

Frequently Asked Questions

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

The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. dehradun learners can join live online batches held on weekdays or weekends.

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

Yes. No prior programming experience is required. Python and SQL are taught from the very beginning, and the first month focuses on Python fundamentals and Excel, which need no traditional coding background.

3. What tools are covered in this course?▼

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

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

Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, model evaluation, RAG basics and verifying AI output.

5. How many projects will I complete?▼

Five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.

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

All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats cover the identical syllabus.

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

The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.

8. Are EMI options available?▼

Yes. EMI starts from ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.

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

Yes. You can attend a free live online demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?▼

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

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

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in dehradun are indicatively ₹4–8 LPA.

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

Indicative ranges for dehradun are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.

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

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.

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

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

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

Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may 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 dehradun?▼

No physical centre in dehradun. dehradun learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. The nearest classroom centres are our Delhi and Noida centres, which you can attend if you travel to Delhi NCR — most dehradun learners prefer live online.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

dehradun learners can attend live online batches using the same syllabus, trainers and projects as classroom training. Those who prefer in-person study or plan to relocate to Delhi NCR can attend the Delhi or Noida centres. For most dehradun-based learners, online classes remove travel while preserving the same curriculum and teaching team.

Open now
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Free demo class Walk-ins welcome
📍 Nearest classroom centres: Noida & Delhi — Open Noida in Google Maps | Open Delhi in Google Maps
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