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Read More →Uncodemy's Data Science with Generative AI course for Agra learners is an 8–9 month instructor-led program covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Training is delivered live online for Agra learners, with classroom access at our Delhi and Noida centres if you travel to Delhi NCR — plus practical projects, recordings and career-support services. The current course fee is ₹21,500 + GST, Total fees is ₹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
Learners who finish the Uncodemy Data Science program build hands-on ability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are complete, eligible candidates can pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer.
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 is the discipline of drawing insight and predictions out of raw data by blending statistics, programming and domain knowledge. It spans collecting and cleaning data, building and evaluating models, and communicating what the results actually mean. Businesses rely on it to decode customer behaviour, forecast demand, catch fraud early, personalise recommendations and automate decisions that used to be manual.
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 translates the findings into recommendations that business teams can act on. A typical week involves writing Python and SQL, training and tuning models, reviewing metrics with stakeholders, and deploying or monitoring a model 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 Agra batch of our Data Science course runs for 8–9 months across 90+ live sessions and 150+ learning hours, broken into eleven modules that build on one another — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, closing with a dedicated module on how AI tools fit into everyday data science work. Every module includes practical exercises on real datasets, and the program ends with capstone projects that become your interview portfolio. Agra learners join live online sessions — a format that works especially well for working professionals across Sanjay Place, Kamla Nagar, Dayalbagh, Sikandra and the wider Braj region, and for anyone aiming at analytics roles in Agra, Noida, Gurgaon or Delhi NCR — with classroom access at our Delhi and Noida centres if you travel to Delhi NCR.
Who should join this course:
Eligibility: Any graduate from any discipline. No programming experience is needed — Python and SQL are taught from the very first line of code. Basic comfort with mathematics helps but is not required; the statistics module builds it up from scratch. For practical sessions, an 8GB RAM laptop and a stable internet connection are recommended.
Pick a batch timing that fits around your work or study schedule. Book a free demo class first, or join one of our upcoming weekend and weekday live batches — built for working professionals and students alike, with flexible timings and hands-on training.
| 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 | 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, you are awarded the Uncodemy Data Science Program Certificate. The certificate carries the program name, duration, tools covered and completion date along with a verification reference. It is issued only after the required coursework and assessment are successfully finished, giving you a formal record of completing the Uncodemy Data Science program.
Along with the certificate, you also receive the practical work completed during the program. Learners work on assignments and projects using every Data Science tool covered in the curriculum, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project gives you the chance to bring together everything you have learned on a single real-world problem.
The Data Science course in Agra 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
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-focused IT training institute run by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida, and live online classes reaching learners across India including Agra and the wider Braj region. Our courses are designed 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 reflects how businesses actually use data — spotting 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 Agra 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 people who actually teach this course
Live online sessions for Agra learners are taught by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, with 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 separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.
Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol 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.
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.
Agra's economy rests on two very different industries: tourism built around the Taj Mahal, Agra Fort and Fatehpur Sikri, and leather and footwear manufacturing and export. Both generate data — bookings, reviews, footfall, orders, costing — and both are still largely run on experience and spreadsheets. This page shows how an Agra learner can build data-science skills online and use them locally or in Delhi NCR, a few hours away on the Yamuna Expressway.
Hotels, travel agents, tour operators and restaurants deal with seasonal demand, online reviews, pricing and repeat guests.
Manufacturers and exporters, many family-owned, manage designs, materials, orders and buyer seasons.
Retail and wholesale businesses around Sanjay Place, Kamla Nagar and the main markets, plus banks and hospitals.
Few of these employers hire "data scientists", but all of them benefit from someone who can clean data, build dashboards and forecast demand. Uncodemy has no tie-up with any Agra business.
No coding background is required.
Uncodemy's classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar); there is no Agra centre. Agra learners study in live online batches. Noida is roughly a three-hour drive on the Yamuna Expressway, so an occasional weekend classroom visit is possible but not practical weekly.
The fee is ₹25,370 with GST, for 11 modules and 5 guided projects and 1 capstone project. Tourism workers should plan their hardest modules for the summer off-season rather than the October–March peak. Start with a free demo class.
This uses Python, NLP, machine learning and Power BI in one project, and the business story is instantly clear to interviewers. Do not scrape review sites against their terms.
Most analyst and data-science jobs for Agra learners are in Noida, Greater Noida, Delhi and Gurugram. Many study from home, travel for interviews, and move once they have an offer. Locally, data-heavy roles exist in larger hotels and travel firms, exporters, banks and hospitals, usually under MIS or analyst titles.
The local market for data-scientist titles is very small. Plan for an NCR or remote role, or for using the skills within a family or local business.
| Setting | Role | Indicative range |
|---|---|---|
| Agra business | MIS / data executive | ₹2–3.5 LPA |
| NCR | Data analyst | ₹3.5–6 LPA |
| NCR, strong projects | Junior data scientist | ₹5–8 LPA |
Indicative only, based on the general level of public listings; actual offers vary. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
Expect SQL, Excel or Power BI, statistics and a project walkthrough. An NLP reviews project leads naturally to questions about text cleaning, class imbalance in sentiment data, and how you judged the model's errors.
Practise with NLP-focused questions and fresher questions.
Agra's tourism follows strong seasons — winter peaks, summer lows, holiday spikes. Footwear exports follow buyers' seasons abroad. Learning to model seasonality properly, in the time-series and forecasting parts of the course, is the single most useful local skill.
Practise by decomposing any monthly series you can find into trend, season and noise, and explain each part in one sentence. Local business owners understand seasons intuitively; showing them a clean chart of it is often the first step to trust.
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). Agra learners attend live online batches.
₹21,500 + GST; total ₹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, 11 modules and 5 guided projects and 1 capstone project.
Yes. Booking, pricing and review analysis are directly useful in hospitality, and the NLP module helps with review data.
Occasionally, by the Yamuna Expressway. Weekly travel is not practical, so most Agra learners study online.
Few with that title. Analyst and MIS roles exist in larger businesses; most data-science jobs are in NCR.
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.
Agra 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. Agra is roughly 200 km from Noida via the Yamuna Expressway, so in-person attendance is practical for learners who travel to Delhi NCR regularly. For most Agra-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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