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Read More →Uncodemy's Data Science with Generative AI program for Muzaffarpur is an 8–9 month instructor-led course spanning Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Training is delivered live online for Muzaffarpur learners, with classroom access at our Delhi and Noida centres for those heading to Delhi NCR. Practical projects, recorded sessions and career-support services are included. Fee: ₹21,500 + GST (₹25,370 total).
Learn from 8+ years experienced professionals
Work on real-time projects & case studies
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
After finishing the Data Science training program at Uncodemy, learners build practical command over Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are complete, eligible candidates can apply for roles such as Data Scientist, Data Analyst or Machine Learning Engineer.
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Placed at:Jepius Healthcare
Data science is the discipline of drawing insight and predictions out of data by combining statistics, programming and domain knowledge. It spans collecting and cleaning data, building and evaluating models, and communicating findings. Organisations apply it to understand customer behaviour, forecast demand, detect fraud, personalise recommendations and automate decisions that were once made manually.
What does a data scientist do? A data scientist pulls data from databases and business systems, cleans and explores it, builds and evaluates machine learning models, and turns findings into business recommendations. A typical week involves writing Python and SQL, training and tuning models, walking stakeholders through metrics, and deploying or monitoring a model in production.
Data analytics is mostly about understanding what already happened and why it happened. Data science pushes further, predicting what's likely to happen going forward. Business analytics, meanwhile, is centred on business processes and strategy.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹4–8 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 8–9 months | 5–6 months |
Salary ranges are indicative and vary by role, skills, experience, location and employer.
The Data Science course for Muzaffarpur spans 8–9 months and 90+ live sessions across 150+ learning hours, organised into eleven modules that build on each other — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps — with a dedicated module on how AI tools show up in day-to-day data science work. Every module includes exercises on real datasets, and the program closes with capstone projects that become your portfolio. Muzaffarpur learners can attend live online sessions from home — practical for working professionals across North Bihar — or join classroom sessions at our Delhi and Noida centres if they relocate to Delhi NCR.
Who should join this course:
Eligibility: A graduate degree in any discipline. No prior programming experience is required — Python and SQL are taught from the first line of code. Comfort with basic mathematics is helpful but not essential; the statistics module builds this from the ground up. A laptop with 8GB RAM and a stable internet connection is recommended for practical sessions.
Pick a batch timing that fits your schedule. Book a free demo class to experience the teaching first-hand, or join one of our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training. Live online batches are open to all.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Irshad | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The syllabus is organised into eleven modules covering 150+ hours of learning, following the sequence data scientists actually work in — acquire the data, clean it, analyse it, build models, deploy them and communicate results. Each module closes with a graded practical assignment on a real dataset, and the final module consolidates everything into 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 you complete all eleven modules, the assignments and the capstone project, Uncodemy issues the Data Science Program Certificate. It records the program name, duration, tools covered and completion date, together with a verification reference — and is issued only after the required coursework and assessment are cleared.
This certificate is issued alongside the practical work you complete during the program. You'll be working on assignments and projects using the Data Science tools from the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI — and the capstone project gives you a chance to apply everything covered in the training.
The Data Science course in Muzaffarpur provided by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified online through the official Uncodemy Certificate Portal.
Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
Numpy
Excel
Power BI
Tableau
ChatGPT
CopilotUncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida and live online classes reaching learners across India including Muzaffarpur and the wider North Bihar belt. Our courses are built for beginners, graduates, freshers and working professionals who want practical, job-relevant skills rather than theory alone.
In this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps and complete projects on real datasets. The training covers how businesses actually use data — identifying trends, building models, generating predictions and supporting decisions — so you can do the work, not just describe it. You can read the full module-by-module curriculum before you enrol.
Alongside training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is set out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Muzaffarpur and Bihar learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it is worth comparing 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
Live online sessions for Muzaffarpur learners are taught by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off the curriculum on this page.
Uncodemy keeps trainers and domain reviewers separate, unlike most institutes that combine both roles. Trainers teach the live batches. Domain reviewers — specialists who don't teach the batch — verify the curriculum is technically accurate and up to date. For this program, that technical review is handled by Upendra Kumar Tiwari. It means the trainer isn't the sole person vouching for what's being taught.
Every trainer and reviewer on the Uncodemy team is published by name, along with their domain and background — so you can verify them before enrolling, rather than after.
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.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and 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.
Enrol in Uncodemy's Data Science Training for Muzaffarpur learners today! Build practical Data Science skills through instructor-led training, projects, assignments and structured career preparation. Start learning Data Science through instructor-led training, practical projects and structured career preparation.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow |
| Machine Learning Engineer | Python, TensorFlow, MLflow, Cloud |
| Data Analyst | SQL, Excel, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | Python, SQL, ETL, Cloud |
| AI/ML Research Associate | Python, PyTorch, NLP |
| Career Level / Role | Indicative Salary Range |
|---|---|
| Internship / Trainee | ₹10k–30k/month |
| Fresher Data Analyst | ₹3–6 LPA |
| Fresher / Junior Data Scientist | ₹4–8 LPA |
| Strong fresher with good projects + skills | ₹6–10 LPA |
| Data Scientist (1–3 years) | ₹8–15 LPA |
| Data Scientist (3–5 years) | ₹12–20+ LPA |
| Strong experienced candidate / product company | ₹20–30+ LPA |
| 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 |
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Remote data analyst / BI role | This program |
| Patna / Bengaluru / Delhi NCR analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program takes 8–9 months to complete and packs 150+ hours of learning across 90+ live sessions. Batch options include both weekday and weekend timings in live online mode.
Absolutely. There is no coding prerequisite — Python and SQL start from absolute basics, and the opening month is dedicated to Python fundamentals and Excel, which beginners pick up comfortably.
You'll work with 15+ tools: Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
Yes — Module 9 is a focused 10-hour segment on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, model evaluation, RAG fundamentals and how to verify AI-generated output.
You'll finish five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one self-chosen capstone project. Together they become a portfolio you can show recruiters.
Every one of the 90+ sessions is live and led by an instructor. Recordings stay accessible for later revision, and both live online and classroom tracks follow the same syllabus.
Course fee is ₹21,500 plus 18% GST, so the total comes to ₹25,370. That includes all sessions, materials, projects, certification and career support — no extra charges. EMI starts at ₹4,622/month over 6 months.
Yes — EMI options begin at ₹4,622 per month over 6 months. The exact amount, tenure and eligibility depend on the financing route you pick, and a counsellor can walk you through the options.
Yes, you can book a free live online demo before committing. It gives you a feel for the trainer's teaching style and lets you review the curriculum in advance.
We offer dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview prep, mock interviews and openings shared via our 850+ company network. We cannot guarantee employment since hiring decisions belong to employers.
Yes, entry-level data roles are open to freshers. Employers usually expect practical Python, SQL, one ML project and a portfolio — this program is built around exactly that. Entry-level Data Scientist pay in India sits indicatively at ₹4–8 LPA, with remote and metro roles often higher.
Indicative bands are ₹4–8 LPA at entry, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior roles. Muzaffarpur-based roles tend to sit at the lower end of those bands, whereas remote roles for Patna, Bengaluru, Hyderabad, Pune or Delhi NCR companies can pay closer to metro levels. Uncodemy does not guarantee any specific salary outcome.
Typical roles include Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most learners start as Data Analyst or Junior Data Scientist and grow from there.
Anyone with a graduate degree in any discipline can enrol — no prior coding or analytics background is needed. Final-year students, working professionals and career changers are all welcome.
All figures come from Uncodemy's internal records and publicly available review-platform data, both of which can change over time. Salary and placement outcomes vary with the learner, skills, experience, location, employer and market conditions. Career assistance is not a guarantee of employment or a fixed pay package, and EMI terms depend on applicable financing conditions.
Muzaffarpur does not have a physical Uncodemy centre. Learners from here join the live online batches, which follow the same syllabus, trainers and projects as classroom. The nearest classroom centres are in Delhi and Noida for learners who travel or relocate to Delhi NCR.
Muzaffarpur doesn't have a Uncodemy classroom yet, so learners here join the live online batches — same syllabus, same trainers, same projects as classroom. If you are relocating to Delhi NCR or visiting often, our Delhi and Noida centres are open for in-person sessions. Most Muzaffarpur learners stick with live online through the full program and only visit a centre occasionally for a demo or a doubt-clearing session.
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