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Read More →Uncodemy delivers an instructor-led Data Science with Generative AI program for Mathura learners, spread over 8–9 months and covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions run live online for Mathura students, with classroom access available at our Delhi and Noida centres for those who travel to Delhi NCR — accompanied by real projects, session recordings and career assistance. Program fee: ₹21,500 + GST, total payable ₹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
Uncodemy learners who complete the Data Science training program develop practical skills in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After completing their training and career preparation, eligible learners may apply for relevant roles such as Data Scientist, Data Analyst or Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science is the discipline of drawing insight and predictions out of data by merging statistics, coding and domain knowledge. It encompasses gathering and cleaning data, building and validating models, and explaining the outcome to decision-makers. Organisations rely on it to understand customer behaviour, forecast demand, detect fraud, personalise recommendations and automate decisions that were previously manual.
What does a data scientist do? A data scientist sources data from databases and business systems, cleans and explores it, builds and evaluates machine learning models, and translates findings into business recommendations. A typical week means writing Python and SQL, training and tuning models, reviewing metrics with stakeholders, and either deploying a fresh model or monitoring one already in production.
Data analytics explains what happened and why. Data science predicts what will happen next. Business analytics focuses 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 Mathura learners runs for 8–9 months across 90+ live sessions and 150+ hours of learning, structured in 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 are used in day-to-day data science work. Every module includes practical exercises on real datasets, and the program closes with capstone projects that become your portfolio. Mathura learners join live online sessions — an ideal format for students in the Mathura–Vrindavan–Agra belt, working professionals, and anyone preparing for analytics roles in Agra, 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.
Choose a batch timing that fits your schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 26Sept | 10:30 AM – 11:30 AM | Ms. Rachna | 01Seat |
| 30Sept | 12:00 PM – 01:00 PM | Mr. Abhi | 02Seats |
| 12Oct | 07:30 PM – 08:30 PM | Mr. Upendra | 01Seat |
| 19Oct | 02:00 PM – 03:00 PM | Mr. Irshad | 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 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 | |
On completing all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. The certificate records the program name, duration, tools covered and completion date, along with verification reference. Certification is issued on completion of the required coursework and assessment, providing a record of successful completion of the Uncodemy Data Science program.
The certificate is provided along with the practical work completed during the program. Learners work on 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 provides an opportunity to apply the concepts covered during the training.
The Data Science course in Mathura 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
Scikit-learn
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotMLflowUncodemy 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 Mathura and the wider Braj region of Uttar Pradesh. 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 Mathura and Uttar Pradesh 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 instructors who actually deliver this course
For learners based in Mathura, the live online sessions are conducted by Upendra Kumar Tiwari, who serves as a Senior Data Science Trainer at Uncodemy. With over 15 years of expertise spanning Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, and NLP, he has also reviewed and approved the curriculum detailed on this page.
At Uncodemy, the responsibilities of trainers and curriculum reviewers are kept distinct, which is a departure from institutes that combine both roles into one. Trainers deliver the live sessions, whereas domain reviewers — specialists who do not teach that specific cohort — independently confirm that the syllabus remains technically sound and current. For this particular program, Upendra Kumar Tiwari acts as the domain reviewer, ensuring that the course content is not solely validated by the person delivering it.
Every trainer and domain reviewer affiliated with Uncodemy is publicly listed along with their domain and professional background — enabling you to verify their credentials prior to enrolling rather than after making a payment.
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.
Enroll in Uncodemy's Data Science Training for Mathura learners today! Build practical Data Science skills through instructor-led training, projects, assignments and career preparation. Begin your Data Science journey with instructor-led sessions, hands-on 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 |
| Agra / Delhi NCR analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The course spans 8–9 months, with 150+ hours of learning delivered through 90+ live sessions. Both weekday and weekend batches are offered in live online mode.
Absolutely. No prior coding exposure is needed. Python and SQL start from scratch, and month one is dedicated to Python basics and Excel — both beginner-friendly without any traditional coding background.
The course covers more than 15 tools — Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
Yes. A dedicated 10-hour Module 9 covers Generative AI, LLMs and prompt engineering, including AI-assisted coding, model evaluation, RAG fundamentals and how to verify AI-generated output.
You will build five guided projects spanning retail, banking, HR, e-commerce and healthcare domains, plus one capstone of your own choice — everything goes into a portfolio you can present in interviews.
All 90+ sessions are conducted live by instructors, and recordings stay available afterwards for revision. Live online and classroom tracks follow the same syllabus.
The program fee is ₹21,500 plus 18% GST, totalling ₹25,370. This covers all live sessions, study materials, projects, certification and career support — with no extra charges. EMI options start from ₹4,622/month over 6 months.
Yes, EMI begins at ₹4,622 per month for 6 months. The exact amount, duration and eligibility depend on the financing option chosen — a counsellor can confirm the plan for you.
Yes, a free live online demo class is available so you can experience the teaching approach, meet the trainer and review the curriculum before enrolling. Contact us to schedule yours.
Dedicated career and placement assistance is available — resume development, LinkedIn optimisation, portfolio review, interview coaching, mock interviews and opportunity sharing through our 850+ company network. Employment itself is decided by employers, and we do not guarantee a job.
Yes, freshers can apply for entry-level roles. Employers usually expect working Python and SQL skills, one ML project and a portfolio — this program is structured to deliver all three. Indicative entry-level Data Scientist pay across India is ₹4–8 LPA, with remote-first and Delhi NCR opportunities often landing toward the upper end of that range.
Indicative bands are ₹4–8 LPA for entry level, ₹8–15 LPA mid-level and ₹12–20+ LPA for senior data scientists. Local Mathura pay tends to sit at the lower end of these bands, but remote roles with companies in Delhi NCR, Agra, Bengaluru, Hyderabad or Pune can come close to metro-level pay. Uncodemy does not guarantee any specific salary outcome.
Roles include Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates start as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol. No prior coding or analytics background is required. Final-year students, working professionals and career switchers are all welcome.
The figures shown are drawn from Uncodemy's internal records and publicly available review-platform data, both of which can change over time. Placement and salary outcomes vary with the learner, skill level, experience, location, employer and market conditions. Career and placement assistance is not a guarantee of employment or of a specific salary. EMI terms are subject to applicable financing conditions.
There is no physical Uncodemy centre in Mathura. Mathura learners join the live online batches, which use the same syllabus, trainers and projects as classroom. The closest physical classrooms are in Delhi and Noida — accessible if you travel to Delhi NCR — though most Mathura learners find live online more convenient.
Mathura learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. If you prefer in-person learning or are relocating to Delhi NCR, the nearest classroom centres are our Delhi and Noida centres — you can attend classroom sessions there. For most Mathura-based learners, live online is the practical choice — it removes travel and lets you learn from the same trainers and curriculum.
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