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Read More →Munger residents can enrol in Uncodemy's Data Science with Generative AI programme — an 8–9 month, instructor-led course spanning Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are conducted live online for Munger learners, and classroom access is available at the Delhi and Noida centres for those travelling to Delhi NCR. The programme features real project work, recorded lessons and career-support services. The present course fee is ₹21,500 + GST, bringing the total fee to ₹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
Those who complete Uncodemy's Data Science training develop practical 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 Munger 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, programming and domain understanding to transform data into meaningful insights and predictions. The discipline covers gathering and preparing data, constructing models, assessing their performance and communicating results clearly. Organisations use it to study customer behaviour, forecast demand, identify fraud, tailor recommendations and automate decisions that once required manual effort.
What does a data scientist do? A data scientist collects information from databases and business systems, cleans and explores it, builds and tests machine learning models, and translates the findings into business recommendations. Daily work includes writing Python and SQL, training and refining models, discussing metrics with stakeholders, and deploying or monitoring models in production.
Data analytics studies past events and their causes. Data science forecasts possible future outcomes. Business analytics applies analysis to guide 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.
The Data Science course for Munger learners runs for 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, with dedicated attention to everyday use of AI tools in data science. Every module involves practical work on real datasets, and the programme concludes with guided projects and a capstone project for your portfolio. Munger 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 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.
Select a batch timing that fits your routine. Book a free demo class or join an upcoming weekday or weekend live batch, with flexible timings and practical instruction for students and working professionals. Batch dates, schedules and seat availability are updated regularly. Contact Uncodemy for the latest Munger/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 organised 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 concludes with a graded assignment based on a real dataset, while the final module brings everything 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 | |
After completing all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. It records the programme name, duration, tools taught and completion date, along with a verification reference. Certification is awarded once the required coursework and assessment are complete, documenting successful completion of the Uncodemy Data Science programme.
The certificate is supplied together with the practical work completed during the programme. Learners use 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 allows learners to put the training concepts into practice.
Uncodemy's Data Science course in Munger 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
Python
SQL
Statistics
Pandas
NumPy
Excel
Power BI
Tableau
ChatGPT
Copilot
Uncodemy operates training centres in Delhi and Noida and reaches learners throughout India, including Munger, through live online classes. The courses cater to beginners, graduates, freshers and working professionals who want practical skills that apply to real jobs.
In this Data Science programme, learners practise Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects using real datasets. The training demonstrates how businesses identify patterns, build models, generate forecasts and support decisions with data. You can review the full module-by-module curriculum before enrolling.
Uncodemy also provides instructor-led lessons, practical assignments, project work, interview preparation and career support. Our career support policy explains what that assistance includes and excludes, together with the eligibility conditions published before enrolment.
If you are considering another career route, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for Munger learners. Data Science and Data Analytics share some basics but lead to different career roles, so compare both curricula before selecting one.
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 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 programme ends for learners who stay engaged with the process.
The people who actually teach this course
Uncodemy keeps two roles separate. Trainers conduct the live lessons, while domain reviewers are specialists who do not teach the batch and independently check that the curriculum is accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science programme, so the teaching delivery is not the only quality check.
The names, areas of expertise and backgrounds of Uncodemy's trainers and domain reviewers are published, allowing learners to research them 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 programmes 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.
Munger is a historic town on the Ganga in eastern Bihar, with the railway workshop at Jamalpur next door, a long-established cigarette factory, the Bihar School of Yoga and Munger University. It is not a technology hub, and most data careers that begin here will continue in Patna, Kolkata or larger metros. Studying online lets you build the skills first, at home, before deciding where to work. This page explains how.
Private data jobs inside Munger are rare. Data work exists in bank branches, the district administration's programmes, hospitals, colleges and larger industrial establishments in the district, but usually under titles such as data entry operator, MIS assistant or accountant.
That does not make Munger a bad place to learn. Living costs are low, there are fewer distractions, and you can take your time to build a portfolio. The key is to plan your job search for Patna, Kolkata, Bengaluru, Delhi NCR or remote roles from the start.
Uncodemy's classrooms are only in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Learners in Munger and Jamalpur study in live online batches — the same trainers, syllabus and projects as the classroom batches, with recordings to revise.
Total payable with GST: ₹25,370. The 11 modules lead to 5 guided projects and 1 capstone project. A laptop with 8 GB RAM, a stable internet connection and a power backup make a real difference in Bihar's summer. Check your setup during a free demo class.
No coding background is needed; Python and SQL start from zero.
Write a short brief for a district-level reader. Public-sector consultancies and NGOs in Patna value exactly this kind of work.
Expect your first job search to take time. Keep improving your portfolio while applying.
Learners in smaller towns often hesitate to ask questions in a live class with participants from big cities. Do not. Trainers expect questions, and the learners who ask most usually finish strongest. Write your question in the chat if speaking feels hard.
Keep a simple weekly routine — class days, two practice evenings, one project block on Sunday — and track it on paper. Over 8–9 months, consistency matters more than talent.
| Where | Role | Indicative range |
|---|---|---|
| Munger / Bhagalpur | MIS / data assistant | ₹1.8–3 LPA |
| Patna | Data analyst | ₹2.5–4.5 LPA |
| Metro city | Data analyst / junior data scientist | ₹3.5–7 LPA |
Indicative ranges based on the general level of public listings, not promises. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
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 in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Munger and Jamalpur learners study online.
Fee: ₹21,500 + GST. With GST: ₹25,370. EMI: from ₹4,622 a month for 6 months (final plan confirmed by a counsellor).
8–9 months in total, with 150+ hours and 90+ live sessions; the 11 modules end with 5 guided projects and 1 capstone project.
Yes, many learners do both, but the course needs regular practice each week. Choose a batch that does not clash with your exam study.
Very few with a data title. Most learners look for jobs in Patna, Kolkata, metros or remote roles.
A stable broadband or 4G/5G connection works. Recordings help if a class is missed.
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.
Munger 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 Munger-based learners, online classes remove travel while preserving the same curriculum and teaching team.
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