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Read More →Uncodemy presents an 8–9 month instructor-led Data Science with Generative AI program crafted for Mau learners, covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions run live online for Mau students, with the option of classroom access at our Delhi and Noida centres for those who travel to Delhi NCR. The course bundles real projects, session recordings and career assistance. Fee: ₹21,500 + GST, total ₹25,370.
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
Mau students who finish Uncodemy's Data Science training pick up hands-on skills in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career prep wrap up, eligible candidates can pursue opportunities as a Data Scientist, Data Analyst or Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
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Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science is about turning raw data into useful insight and forecasts using statistics, programming and domain context. It spans the entire pipeline — sourcing and tidying data, designing and testing models, and explaining the findings clearly. Businesses use it to decode customer behaviour, anticipate demand, catch fraud early, refine recommendations and automate decisions that once required manual effort.
What does a data scientist do? In practice, a data scientist gathers data from databases and operational systems, cleans and examines it, builds and evaluates machine learning models, and converts the results into business recommendations. A typical week involves Python and SQL coding, model tuning, discussing metrics with stakeholders, and either shipping a new model or watching over one already in production.
Data analytics helps explain what already took place and why. Data science goes beyond that, forecasting what might happen next. Business analytics, in contrast, centres on the organisation's 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 Mau learners runs for 8–9 months across 90+ live sessions and 150+ hours of learning, arranged in eleven modules that progress logically — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, plus a module on how AI tools are used in daily data science work. Each module has practical exercises on real datasets, and the program finishes with capstone projects you can showcase as a portfolio. Mau learners join live online sessions — a convenient format for students in the Mau–Ghazipur–Azamgarh belt, working professionals, and anyone aiming for analytics roles in Varanasi, Delhi NCR or a metro — with classroom access at our Delhi and Noida centres if you travel 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.
Select a batch schedule that fits your day. Try a free demo class first, or enrol directly into an upcoming weekend or weekday live batch — both are designed with flexible timing for students and working professionals alike.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 06Oct | 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 01Seat |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 26Oct | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seat |
| 02Nov | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 28Nov | 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 order data scientists actually work in — get the data, clean it, analyse it, build models, deploy them, and communicate results. Each module ends 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, the Uncodemy Data Science Program Certificate is awarded. It documents the program name, duration, tools covered and completion date, along with a verification reference. The certificate is issued only after the required coursework and assessment are completed — providing a formal record of successful completion of the Uncodemy Data Science program.
The certificate arrives alongside the practical work you have produced during the program. Learners build assignments and projects using the Data Science tools covered in the curriculum, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project gives you a chance to apply the concepts learned throughout the training.
The Data Science course in Mau 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 Edutech Pvt. Ltd. operates Uncodemy, a career-focused IT training institute with classroom centres in Delhi and Noida, plus live online batches reaching learners across India including Mau and the wider Purvanchal region of Uttar Pradesh. Courses at Uncodemy are designed for beginners, graduates, freshers and working professionals who want hands-on, job-relevant skills rather than theory alone.
Through this Data Science program, learners gain practical exposure to Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, building projects on real datasets throughout. The training focuses on how businesses actually use data in practice — spotting trends, building models, generating predictions and supporting decisions — so you walk away able to do the work, not just talk about it. You can read the full module-by-module curriculum before you enrol.
Alongside the coursework, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support covers, and what it does not, is detailed in our career support policy, alongside the eligibility conditions shared prior to enrolment rather than once payment is made.
If a different path suits you better, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Mau and Uttar Pradesh learners. Data Science and Data Analytics share several foundational modules but end up in different roles, so comparing both curricula before deciding is a good idea.
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
Mau learners attend live online sessions led by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, whose 15+ year career spans Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He is also the person who reviewed and greenlit the curriculum you see on this page.
Uncodemy deliberately splits two functions that most training institutes roll into one. The trainers run the live classes. The domain reviewers — specialists who are not part of that batch's teaching team — independently check that the curriculum is technically sound and current. On this program, that technical review is handled by Upendra Kumar Tiwari, so the course material is not just self-approved by whoever happens to be teaching it.
Every trainer and every domain reviewer at Uncodemy is listed publicly, with their specialisation and experience — which means you can check their backgrounds before you pay, not 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.
Uncodemy's Data Science course is now open for Mau learners. It blends instructor-led teaching with live projects, regular assignments and structured career preparation, so you leave with Data Science skills you can actually put to work.
| 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 |
| Varanasi / Delhi NCR analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program runs for 8–9 months and delivers 150+ hours of learning through 90+ live sessions. Both weekday and weekend batches are available in live online mode.
Yes. No prior programming experience is necessary. Python and SQL are introduced from the ground up, and month one covers Python basics and Excel — both approachable without any coding history.
Over 15 tools are taught — 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 dedicated 10-hour block covering Generative AI, LLMs and prompt engineering — including AI-assisted coding, model evaluation, RAG fundamentals and methods to verify AI output.
You will work on five guided projects across retail, banking, HR, e-commerce and healthcare, plus one capstone project of your choosing. All of them feed into a portfolio you can present in interviews.
Every session — all 90+ of them — is delivered live by instructors, and recordings remain accessible for revision. The live online and classroom tracks follow the same syllabus.
The program fee is ₹21,500 plus 18% GST, totalling ₹25,370. This includes every live session, study material, project, certification and career-support service — no hidden add-ons. EMI options begin at ₹4,622 per month for 6 months.
Yes, EMI starts at ₹4,622 per month over 6 months. The precise amount, tenure and eligibility depend on the financing plan selected — your counsellor can walk you through the options.
Yes. A free live online demo class lets you experience the teaching style, meet the trainer and review the curriculum before you commit. Reach out to us to book yours.
We provide structured career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview coaching, mock interviews and opportunity sharing through our network of 850+ companies. Hiring decisions rest entirely with employers, so we do not promise a job.
Yes, freshers are eligible for entry-level roles. Employers typically expect working Python and SQL skills, one ML project and a portfolio — this program is designed to deliver all three. Indicative entry-level Data Scientist pay across India is ₹4–8 LPA, with remote-first and Delhi NCR positions often landing at the upper end of that band.
Indicative bands are ₹4–8 LPA for entry level, ₹8–15 LPA mid-level and ₹12–20+ LPA for senior data scientists. Pay within Mau itself tends to sit at the lower end of these bands, though remote roles with companies in Delhi NCR, Varanasi, Bengaluru, Hyderabad or Pune can come closer to metro-level pay. Uncodemy does not guarantee any specific salary outcome.
You can target roles like Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates enter as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol. No prior coding or analytics experience is required. Final-year students, working professionals and career changers are welcome.
The figures shown are drawn from Uncodemy's internal records and publicly available review-platform information — both subject to change over time. Placement and salary outcomes vary based on the learner, skills, experience, location, employer and market conditions. Career and placement assistance is not a guarantee of employment or a fixed salary. EMI terms are subject to applicable financing conditions.
Mau does not have a physical Uncodemy centre. Mau learners join the live online batches, which use the same syllabus, trainers and projects as classroom. The nearest classroom centres are in Delhi and Noida, accessible if you travel to Delhi NCR — although most Mau learners find live online more convenient.
Mau does not 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 Mau 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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