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Read More →Learners from Gwalior may join Uncodemy's Data Science with Generative AI program, an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are conducted live online for Gwalior learners, with access to the Delhi and Noida centres for those travelling to Delhi NCR. The program offers practical projects, session recordings and career guidance. The current course fee is ₹21,500 + GST, making the total payable fee ₹25,370.
Learn alongside professionals with 8+ years of experience
Build skills through live projects and case studies
Keep lifetime access to recordings and learning materials
Resume development, mock interviews and career support
Receive an Uncodemy completion certificate
Online and classroom batches on weekdays or weekends
Learners who finish Uncodemy's Data Science training build hands-on ability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After completing the learning and career-preparation work, eligible learners may pursue positions such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for Gwalior learners are refreshed regularly — view verified outcomes at uncodemy.com/placement.
Placed at:Makeo
Placed at:HSBC
Placed at:Fiserv
Placed at:Fis
Placed at:Access Meditech
Placed at:Genpact
Placed at:Capgemini
Placed at:Allsoft Solutions
Placed at:Vitraya Technologies
Data Science brings together statistics, coding and industry knowledge to create useful insights and predictions from data. It involves collecting and arranging information, building models, checking performance and presenting conclusions clearly. Businesses use it to study customers, predict demand, uncover fraud, personalise recommendations and automate tasks once handled manually.
What does a data scientist do? A data scientist retrieves information from databases and business systems, prepares and explores it, creates and tests machine learning models, and turns the outcomes into business recommendations. Daily tasks include writing Python and SQL, training and enhancing models, discussing measures with stakeholders, and deploying or supervising models in production.
Data analytics explains previous events and the reasons for them. Data science predicts likely future outcomes. Business analytics uses those findings to guide operations 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.
The Data Science course for Gwalior learners spans 8–9 months and includes 90+ live sessions with 150+ hours of learning. Its eleven modules progress through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, including a dedicated focus on everyday use of AI tools in data science. Each module contains practical work on real datasets, and the program ends with guided projects and a capstone project for your portfolio. Gwalior learners attend live online sessions, with classroom access at our Delhi and Noida centres when travelling to Delhi NCR.
Who should join this course:
Eligibility: Graduates from any field may apply. No previous programming background is necessary because Python and SQL begin with the essentials. Basic mathematics can be useful but is not mandatory, since the statistics module builds the foundation. Practical work is best completed with an 8GB RAM laptop and reliable internet.
Select a batch timing that fits your routine. Book a free demo class or join a forthcoming weekday or weekend live batch, with flexible hours and hands-on instruction for students and working professionals. Batch dates, timings and seat availability are updated regularly. Contact Uncodemy for the latest Gwalior/online batch schedule. All timings are in IST.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seat | |
| 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats | |
| 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat | |
| 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 01Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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.
The syllabus is divided into eleven modules with 150+ hours of learning, following the practical data science workflow: obtain the data, prepare it, analyse it, build models, deploy them and explain the results. Each module finishes with a graded assignment based on a real dataset, while the final module brings the learning together in portfolio projects.
| # | 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 | |
Once all eleven modules, assignments and the capstone project are complete, you receive the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools covered and completion date, along with a verification reference. Certification follows completion of the required coursework and assessment and records successful completion of the program.
The certificate comes with the practical work produced during training. Learners apply Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI in assignments and projects. The capstone provides a final opportunity to demonstrate the concepts learned.
The Data Science course from Uncodemy in Gwalior includes a verified Uncodemy Data Science Program Certificate, available for checking through the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy operates centres in Delhi and Noida and teaches learners across India, including Gwalior and the wider Madhya Pradesh region, through live online classes. The programs suit beginners, graduates, freshers and working professionals seeking practical workplace skills.
During this Data Science program, learners use Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps while completing projects with real datasets. The lessons demonstrate how businesses find patterns, develop models, forecast outcomes and make data-informed decisions. Review the full module-by-module curriculum before enrolling.
The program combines instructor-led lessons, practical assignments, project work, interview preparation and career support. Our career support policy explains the scope and limits of that assistance, together with the eligibility conditions published before enrolment.
If you are exploring another direction, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for Gwalior and Madhya Pradesh learners. Data Science and Data Analytics share some fundamentals but prepare learners for different roles, so compare both curricula before choosing.
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.
The people who actually teach this course
Uncodemy assigns two distinct responsibilities. Trainers lead the live lessons, while domain reviewers are specialists who do not teach the batch and independently confirm that the curriculum remains accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, adding a separate quality check to the teaching process.
Uncodemy publishes each trainer's and domain reviewer's name, expertise and background, enabling learners to examine their experience before enrolling.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Science & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Science & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Science Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the data science and analytics track at Uncodemy, working with learners on Python, SQL, Excel and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Science Trainer
Expertise
Data Science Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Gwalior sits between two job markets: Delhi NCR to the north and Madhya Pradesh's own IT cities, Indore and Bhopal, to the south. The city itself has strong institutions — ABV-IIITM, Jiwaji University, MITS — but a small private analytics sector. That shapes the plan: learn from home at Gwalior's cost of living, build a portfolio with real data, and choose which of the two markets you are aiming at early on.
More openings and higher pay, especially in analytics firms, banks and product companies; also more competition. Gwalior is a few hours away on the fastest trains, so interviews and relocation are practical.
Smaller markets with IT-services campuses, start-ups and state-government projects; lower living costs and closer to home for many learners.
Decide early because it changes your portfolio: NCR analytics firms like business and finance projects; Madhya Pradesh employers often work on government, agriculture and services projects. Remote roles are a third option once you have some experience.
Inside the city, data work appears as MIS and reporting in banks, hospitals, the Malanpur and Banmore industrial areas, distribution firms and educational institutions. Tourism around the fort and heritage sites, and the city's role as a regional trading and education centre, add some analytics needs, but rarely full data-science roles.
Be realistic about local options: most learners who stay in Gwalior use data skills to move up within an existing employer rather than to land a new data-scientist title in the city.
Uncodemy's classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar); Gwalior learners take the live online batch. Classes are live, with recordings for revision, and the same trainers and projects as the classroom batches.
The fee including GST is ₹25,370. Across 11 modules you go from Python and SQL to machine learning and Generative AI, and finish with 5 guided projects and 1 capstone project. Summer afternoons in Gwalior are very hot, and power cuts happen; many learners prefer early-morning or evening batches. Sit in on a free demo class first.
No coding background is assumed.
Many Gwalior learners have spent a year or two preparing for SSC, banking or state-service exams. That preparation is not wasted. Quantitative aptitude, data interpretation and reasoning practice translate directly into the statistics module and into the logic of SQL queries; the discipline of a daily study timetable is exactly what a 8–9 months programme needs.
What does not carry over is coding. Exam aspirants are often used to reading and solving, not to building and debugging, so expect the first Python weeks to feel unfamiliar. Write code every day, make mistakes deliberately, and read the error messages — that habit, more than any formula, decides how quickly you progress.
Two project ideas that draw on public information:
Keep the notebook tidy and add a one-page summary with charts; that is what you will show in interviews.
| Where | Role | Indicative range |
|---|---|---|
| Gwalior | MIS / reporting analyst | ₹2–3.5 LPA |
| Indore / Bhopal | Data analyst | ₹3–5.5 LPA |
| Delhi NCR | Data analyst / junior data scientist | ₹3.5–7 LPA |
Indicative ranges, not promises; they come from the general level of public listings and vary by employer and interview. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
First-round interviews for analyst jobs are increasingly online, which helps Gwalior candidates — you can attend from home. Prepare a quiet room and a reliable connection. Expect SQL on a shared screen, an Excel or Power BI task, and questions about statistics and your capstone.
Practise with data science questions for freshers and the mock interview. If you are aiming at NCR, be ready to say when you can relocate.
Uncodemy
An end-to-end data science project that builds a content-based and collaborative filtering recommendation engine using Python, Pandas and Scikit-learn. It includes data cleaning, feature engineering, similarity calculation and an interactive recommendation interface.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete machine learning project that detects fraudulent credit card transactions using classification algorithms. It covers data imbalance handling, feature selection, model training, evaluation metrics and real-time fraud prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A predictive analytics project that forecasts employee attrition using machine learning models. It includes exploratory data analysis, feature engineering, model building, hyperparameter tuning and actionable HR insights for reducing attrition.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An advanced agentic AI project that autonomously researches topics, gathers information from multiple sources, summarizes findings and generates structured research reports using large language models and tool calling.
Python
Jupyter Notebook
GitHub
SQL
Uncodemy
An intelligent AI-powered interview agent that conducts technical interviews, evaluates candidate responses in real time, provides feedback scores and generates detailed performance reports using natural language processing and LLMs.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
An end-to-end regression project that predicts house prices using advanced machine learning techniques. It covers data preprocessing, feature engineering, model selection, evaluation and deployment-ready prediction pipeline.
Python
Pandas
Jupyter Notebook
SQL
Uncodemy
A comprehensive healthcare analytics project that explores patient data, disease trends, treatment outcomes and hospital performance using Python, SQL and advanced visualization techniques to generate actionable medical insights.
Python
Pandas
Jupyter Notebook
GitHub
Uncodemy
A complete end-to-end recommendation system project that combines collaborative filtering and content-based techniques to suggest personalized movies. Built with Python, Pandas and machine learning algorithms for accurate user preference matching.
Python
Pandas
Jupyter Notebook
GitHub
No. Classrooms are only in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Gwalior learners attend live online batches.
₹21,500 + GST, or ₹25,370 with GST. EMI: from ₹4,622 a month for 6 months (final plan confirmed by a counsellor).
8–9 months: 150+ hours, 90+ live sessions and 11 modules, with 5 guided projects and 1 capstone project.
NCR has more roles and higher pay but more competition; Indore and Bhopal are smaller and closer to home. Decide early and shape your projects for that market.
Yes, many learners do, but the course needs regular weekly practice. Choose a batch time that does not clash with your exam preparation.
Classes are recorded, so a missed session can be watched later. A laptop with good battery life helps.
No. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
No. Prior coding is not required: Python and SQL are taught from the basics, and the statistics module builds the maths step by step.
Gwalior learners can join online batches that follow the same syllabus and use the same trainers and projects as classroom training. Learners who want face-to-face study or are moving to Delhi NCR can attend the Delhi or Noida centres. For most Gwalior-based learners, online classes avoid travel while retaining the same curriculum and teaching team.
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