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🔥 Most Popular in Nagpur

Data Science Training Course in Nagpur With Gen AI by Uncodemy

Nagpur learners can join Uncodemy’s 8–9 month instructor-led Data Science and Generative AI program. The syllabus covers Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI through live online classes, with classroom access at the Delhi and Noida centres. The fee is ₹21,500 plus 18% GST, for a total of ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

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₹21,500/-
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EMI AVAILABLE
Starts at ₹4,622/M
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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 with AI — Training & Placement Program A practical course designed to develop Data Science skills and interview confidence.
The program delivers 8–9 months of instructor-led learning in 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 (for 6 months)
🚀 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 Nagpur — 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 Nagpur; Offline/Hybrid available only at Delhi & Noida centres
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
15 September 2026

List of Placed Students Trained by Uncodemy

Completing the Uncodemy Data Science program gives learners practical ability in Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. After their training and career preparation, eligible learners may apply for roles such as Data Scientist, ML Engineer, Data Analyst, or Business Intelligence Analyst. Nagpur placement information is updated regularly at uncodemy.com/placement.

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

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

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics 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 Analytics 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 Analytics Batch
Batch: DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

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

What is Data Science?

Data Science combines programming, statistics, and domain knowledge to convert data into useful insight and predictions. It covers data collection, cleaning, exploration, model building, and deployment, and helps organisations forecast demand, identify risk, personalise services, and automate decisions.

What does a data scientist do? A data scientist gathers and prepares data from databases and business systems, studies it for patterns, develops and tests machine learning models, and explains findings to product, marketing, risk, or engineering teams. Regular tasks include SQL queries, Python notebooks, model evaluation, and clear business communication.

Data Analytics vs Data Science vs Business Analytics

Data analytics explains past outcomes, data science predicts possible next outcomes, and business analytics focuses on the action the business should take.

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

Nagpur learners complete this course over 8–9 months with 90+ live sessions and more than 150 hours of learning. Eleven modules cover Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a capstone. Real-dataset exercises and guided projects help build a portfolio. Classes are live online, while classroom access is available in Delhi and Noida.

Who should join this course:

  • Fresh graduates from any stream — B.Sc, B.Tech, B.Com, BBA, BA, BCA — who want an entry into data science.
  • Working professionals in analytics, reporting or software roles who want to move into machine learning.
  • Career changers moving from non-technical or semi-technical roles into a data science role.
  • MIS and reporting executives who want to move up from Excel and SQL into Python, ML and model deployment.
  • Nagpur-based learners who want live instructor-led training with recordings, without relocating for a classroom batch.

Eligibility: Graduates from any discipline may apply. No prior programming experience is required, as Python and SQL start with the basics. Basic mathematical comfort is helpful but optional; the statistics module builds the foundation. A laptop with 8GB RAM and stable internet is recommended.

Upcoming Data Science Course Batches in Nagpur

Choose a batch schedule that fits your routine and attend a free demo before enrolling. Weekday and weekend live batches are available for students and working professionals, with flexible timing and practical learning.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seats
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seat
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seats
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seat

Weekends

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

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

Curriculums for Data Science Training Courses In Nagpur

Data Science Course Syllabus in Nagpur

The Nagpur syllabus has eleven modules and more than 150 hours of learning, following a practical Data Science workflow: collect the data, clean it, analyse it, model it, deploy it, and communicate the result. Each module includes a graded real-dataset assignment, and the final module combines the skills 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
  • Bayesian thinking for business problems

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

  • Supervised vs unsupervised learning, train-test split, cross-validation
  • Linear and logistic regression
  • Decision trees, random forests, gradient boosting (XGBoost, LightGBM)
  • KNN, Naive Bayes, SVM
  • K-means, hierarchical clustering, PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC, RMSE
  • Scikit-learn pipelines and hyperparameter tuning

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions, backpropagation
  • Feedforward neural networks in TensorFlow/Keras
  • Regularisation: dropout, batch normalisation, early stopping
  • Convolutional Neural Networks (CNN) for image data
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning with pre-trained models

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

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and embeddings
  • Sentiment analysis and text classification
  • Named entity recognition
  • Introduction to transformer architectures
  • Hugging Face pipelines for practical NLP tasks

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

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Tableau dimensions, measures, calculated fields and parameters
  • Dashboards, actions and stories; publishing and scheduled refresh

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

  • How large language models work: tokens, context, temperature
  • Prompt engineering for data tasks
  • AI-assisted SQL, Python and model debugging
  • Copilot in Excel, Power BI and notebooks
  • Retrieval-augmented generation (RAG) basics
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy: what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model packaging and versioning
  • REST APIs for model serving with FastAPI/Flask
  • Containerisation basics with Docker
  • Experiment tracking with MLflow
  • CI/CD concepts for ML pipelines
  • Monitoring models in production: drift and retraining triggers

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, ML and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter
2 SQL & Database Management 15 MySQL
3 Statistics & Probability 15 Excel, Python, SciPy
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning 25 Scikit-learn, XGBoost, LightGBM
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing 10 NLTK, spaCy, Hugging Face
8 Power BI & Tableau 15 Power BI Desktop, Tableau Public
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 FastAPI, Docker, MLflow
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 Nagpur

After completing all eleven modules, assignments, and capstone project, learners receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools covered, completion date, and verification reference. The certificate is issued after the required coursework and assessment are completed.

The certificate is supported by the practical work completed during training. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI in assignments and projects, while the capstone applies the course concepts together.

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.

Nagpur learners completing Uncodemy’s Data Science course receive a verified Program Certificate. Its details can be checked 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 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: SQL problem sets, ML and statistics questions, 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

Classroom sessions at our Delhi and Noida centres and live online batches are taught by Uncodemy's senior trainer panel, with 10+ years average corporate training experience across data science, analytics and AI. The curriculum on this page was reviewed and signed off by Mr. Upendra Kumar Tiwari.

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 Mr. 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 Nagpur Today!

Enroll in Uncodemy's Data Science Training for Nagpur learners today. Develop practical data science skills through instructor-led live online training, real projects, assignments and structured career preparation — from Python and SQL through machine learning, deep learning and Gen AI.

Data Scientist Jobs and Career Scope in Nagpur+

Nagpur has evolved from a traditional trading and logistics city into a growing IT and analytics hub, helped by the MIHAN SEZ, the Butibori industrial belt and a steady expansion of IT parks along Wardha Road and Amravati Road. The city's data science hiring is smaller than Pune or Mumbai in absolute volume but is growing, and it rewards candidates who combine core analytics skills with domain context. IT services and global capability centres operating out of MIHAN and IT Park hire analysts and data scientists for reporting automation, forecasting and customer analytics. Manufacturing and logistics companies across Butibori and the Nagpur–Wardha belt hire for demand forecasting, supply chain analytics and quality analytics, often working with ERP and IoT data. Banking, insurance and NBFC branches and regional offices hire for credit risk, collections analytics and MIS roles. Healthcare and education — including Nagpur's large hospital and university ecosystem — hire for clinical and academic data analysis. Government and public-sector analytics projects, including smart-city initiatives, also create a steady stream of contract and full-time analyst roles. Across all of these, employers expect working Python, SQL and at least one BI tool, plus a portfolio that shows you can frame a business question and evaluate a model — not just train one. Many Nagpur-based learners also target remote-first and Pune/Mumbai-headquartered employers, where the skill bar is identical and location is not a barrier.

Job Roles After This Course+

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate are the roles this course maps to. Each overlaps in the underlying skill set — Python for modelling, SQL for data access, statistics for evaluation, and a BI tool for communicating results — but they differ in how much of the day is spent on modelling versus data infrastructure versus stakeholder communication.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow, Power BI
ML Engineer Python, TensorFlow, Docker, MLflow, FastAPI
Data Analyst SQL, Excel, Python, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer SQL, Python, ETL tools, cloud data platforms
AI/ML Research Associate Python, PyTorch/TensorFlow, NLP libraries
Most graduates start as a Data Scientist, Data Analyst or ML Engineer and specialise further with two to four years of experience, once they have owned a few end-to-end modelling or deployment projects.

Data Scientist Salary in Nagpur — Experience-wise+

Salaries in Nagpur vary by experience level, sector and how strong your Python and ML engineering skills are. A candidate who can only train models in a notebook typically sits at the lower end of a band; one who can also deploy, monitor and explain a model to a business stakeholder tends to move to the top of the same band faster. Nagpur salaries for the same experience band often sit slightly below Mumbai and Pune, but remote roles and roles with Pune/Mumbai-headquartered employers can pay at par with those markets.
Level 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. 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 Nagpur+

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 Nagpur specifically, data science demand is strongest in:
  • IT services and global capability centres — MIHAN SEZ, IT Park and Wardha Road clusters, hiring for reporting automation, forecasting and customer analytics
  • Manufacturing, logistics and supply chain — the Butibori industrial belt and Nagpur–Wardha corridor, for demand forecasting, quality analytics and ERP/IoT analytics
  • BFSI — banking, insurance and NBFC regional offices, for credit risk, collections analytics and MIS reporting
  • Healthcare and education — Nagpur's hospital and university ecosystem, for clinical, operational and academic data analysis
  • Government and smart-city projects — public-sector analytics initiatives creating contract and full-time analyst and data science roles
Each sector weights skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you are 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.
  • Learn Python — syntax, data structures, functions, and then Pandas and NumPy for real data work.
  • Build statistics depth — descriptive stats, probability, hypothesis testing and regression, enough to defend your conclusions when questioned.
  • Learn SQL to a working standard — joins, aggregations, subqueries and window functions, because almost every data science role starts with pulling data from a database.
  • Learn machine learning — supervised and unsupervised algorithms, model evaluation, cross-validation and hyperparameter tuning with Scikit-learn.
  • Add deep learning — neural networks, CNNs, RNNs and transfer learning with TensorFlow/Keras, plus an introduction to transformers and NLP.
  • Build three to five portfolio projects, each with a business question, a model, an evaluation metric and a recommendation — ideally drawn from a sector you want to work in.
  • Prepare and apply — SQL and ML practice, 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.

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

Nagpur has a smaller set of data science training options than Pune or Mumbai, ranging from short weekend workshops to a handful of multi-month programs. 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, a BI tool and a deployment workflow depending on the task, rather than being strong in only one. Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick Python and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it is 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 default format for Nagpur learners, letting working professionals join live sessions from home and fit classes around a job or other commitments. Offline classroom is available at our Delhi and Noida centres; Nagpur learners typically join live online, and some choose to attend an occasional classroom session when they travel to Delhi NCR. Hybrid suits learners who want flexibility with occasional in-person sessions — useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. 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 Python + Power BI basics A shorter course may be sufficient
Full data science career transition This program
Heavy analytics and dashboarding focus Consider Data Analytics
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 Nagpur?

The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available.

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

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

3. What tools are covered in this course?

15+ tools including Python, SQL, Statistics, 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 SQL and Python, Copilot in Excel and Power BI, RAG basics, and verifying AI output.

5. How many projects will I complete?

Five guided projects across BFSI, e-commerce, retail, healthcare and NLP 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 Nagpur?

The program fee is ₹21,500 plus 18% GST, total fee ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month.

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 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 framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.

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

Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. Nagpur salaries often sit slightly below Mumbai and Pune at the same experience band, though remote roles and roles with Pune/Mumbai-headquartered employers can pay at par. Actual salaries vary by sector, company, skills and experience.

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

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

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 Nagpur?

Uncodemy does not have a physical classroom centre in Nagpur. Nagpur learners join live online batches, which cover the identical syllabus, trainers and projects. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1 — Nagpur learners who travel to Delhi NCR can attend classroom sessions there.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by: Mr. Ratan
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by: Mr. Irshad Khan
  • Technical content verified by: Mr. Upendra Kumar Tiwari
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Nagpur learners join Uncodemy live online batches, which cover the same syllabus, trainers and projects as classroom batches. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1 — Nagpur learners who travel to Delhi NCR can attend classroom sessions there. Live online batches run on IST timings and include recorded sessions for revision.

Open now
Delhi Centre — Address
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre — Address
B 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Phone9818366550
Websiteuncodemy.com
Live online for Nagpur Recorded sessions Walk-ins welcome at Delhi/Noida
📍 Nearest classrooms — Delhi (Head Office) & Noida — Open Delhi centre in Google Maps  |  Open Noida centre in Google Maps