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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:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
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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 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 |
|---|---|---|---|
| 22Sept | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| 06Oct | 12:00 PM – 01:00 PM | Mr. syed Najeeb | 01Seats |
| 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 | |
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.
Sign up today for Uncodemy's Data Science Training designed for Agra learners! Build practical Data Science skills through live instructor-led sessions, real projects, assignments and structured career preparation. Begin your Data Science journey with hands-on training and guided interview readiness.
| 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 |
| Analytics role in Agra's tourism/leather/handicraft sector | This program |
| Remote or Noida/Gurgaon/Delhi NCR analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available in live online mode.
Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first month focuses on Python fundamentals and Excel, which need no traditional coding.
15+ tools including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
Yes. Module 9 is a dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, verifying AI output, data privacy and how to use these tools responsibly in day-to-day data science work.
Five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.
All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats all cover the identical syllabus.
The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months.
Yes. EMI starts from ₹4,622 per month for 6 months. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor can confirm your plan.
Yes. You can attend a free live online demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.
We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.
Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in Agra and the wider Uttar Pradesh market are indicatively ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local Agra salaries tend toward the middle of these ranges for tourism, leather, handicraft and agro-processing firms, with Noida, Gurgaon and Delhi NCR roles typically paying closer to the top. Uncodemy does not guarantee any specific salary outcome.
Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol. No prior coding or analytics experience is needed. Final-year students, working professionals and career changers are all welcome.
Statistics are based on Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes vary by learner, skills, experience, location, employer and market conditions. Career and placement assistance does not constitute a guarantee of employment or a specific salary package. EMI terms are subject to applicable payment or financing conditions.
No physical centre in Agra. Agra learners join our live online batches, which cover the identical syllabus, trainers and projects as classroom. The nearest classroom centres are our Delhi and Noida centres, which you can attend if you travel to Delhi NCR — most Agra learners prefer live online.
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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