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Read More →Uncodemy's Data Science and Generative AI course, tailored for learners in Madhyamgram, is delivered by instructors across a span of 8–9 months. The syllabus combines Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI. Students located in Madhyamgram participate in live virtual sessions, while physical classroom learning is offered at the Delhi and Noida facilities. The course charges ₹21,500 plus 18% GST, summing up to ₹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
By finishing Uncodemy's Data Science course, learners secure applied understanding of Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. Following course completion and career readiness help, eligible participants may aim for designations such as Data Scientist, ML Engineer, Data Analyst, and Business Intelligence Analyst.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science brings together coding, statistical thinking, and domain understanding to discover patterns and make predictions from data. A typical workflow moves through data collection, cleaning, exploration, model creation, and deployment. This work supports demand planning, risk identification, personalised experiences, and automated decisions for organisations.
What does a data scientist do? A data scientist brings together information from databases and business applications, makes it usable, looks for relationships, and trains and evaluates machine learning models. The results are communicated to product, marketing, risk, or engineering teams. Common tasks include SQL work, Python notebooks, model review, and explaining technical results in business-friendly language.
Data analytics interprets completed events, data science forecasts possible next events, and business analytics turns those insights into business decisions.
| 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 madhyamgram course covers 8–9 months, 90+ live classes, and more than 150 hours of study. The eleven-module sequence includes Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a capstone project. Real-data exercises are included throughout, and guided projects plus the capstone can form part of a learner’s portfolio. madhyamgram learners join online live batches, while classroom options are available in Delhi and Noida.
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. Basic mathematics comfort 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.
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 |
|---|---|---|---|
| 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. Kunal | 02Seats |
Seats are limited and updated daily. All timings are in IST.
Eleven modules make up the syllabus, providing more than 150 hours of learning in the same sequence used in practical Data Science work: acquire the data, prepare it, analyse it, build a model, deploy it, and communicate the result. Each module includes a graded task using a real dataset, and the final module turns the accumulated learning into portfolio projects.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Python for Data Science | 20 | Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter |
| 2 | SQL & Database Management | 15 | MySQL |
| 3 | Statistics & Probability | 15 | Excel, Python, SciPy |
| 4 | Data Cleaning & EDA | 12 | Python, Pandas |
| 5 | Machine Learning | 25 | Scikit-learn, XGBoost, LightGBM |
| 6 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras |
| 7 | Natural Language Processing | 10 | NLTK, spaCy, Hugging Face |
| 8 | Power BI & Tableau | 15 | Power BI Desktop, Tableau Public |
| 9 | Generative AI, LLMs & Prompt Engineering | 10 | ChatGPT, Copilot |
| 10 | MLOps & Model Deployment | 8 | FastAPI, Docker, MLflow |
| 11 | Capstone & Career Prep | 10+ | All tools |
| Total | 150+ Hours | 15+ tools | |
The Uncodemy Data Science Program Certificate is awarded after a learner completes all eleven modules, the assignments, and the capstone. It records the course title, duration, tools covered, completion date, and verification reference. The award confirms that the required coursework and assessment have been completed.
It is accompanied by the practical work completed during training. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI in their assignments and projects, with the capstone serving as the final application of the concepts taught.
madhyamgram learners completing the Uncodemy Data Science course receive a verified Program Certificate. The certificate may be checked online using the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
Power BI
Tableau
Excel
ChatGPT
Copilot
Uncodemy Edutech Pvt. Ltd. runs Uncodemy as a practical IT training institute with learning centres in Delhi and Noida. Its live online batches serve learners across India, including beginners, graduates, freshers, and working professionals who want skills relevant to real job tasks instead of theory by itself.
The Data Science program gives learners practice with Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI through projects built on real datasets. It also covers business applications such as forecasting, classification, segmentation, and model deployment. The full curriculum by module can be reviewed before enrolment.
The learning experience also includes instructor-led sessions, practical assignments, project work, interview preparation, and career assistance. The career support policy describes the assistance and its boundaries, while the eligibility conditions are made available before enrolment and payment.
For learners considering another specialisation, Uncodemy also runs Data Analytics training, Business Analyst, Machine Learning and Artificial Intelligence training courses for madhyamgram and learners throughout India. Data Science and Data Analytics overlap in some introductory topics but lead toward different roles, so comparing their curricula is useful before choosing.
Portfolio review: Your experience and guided projects are reviewed and refined into a 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: SQL problem sets, ML and statistics questions, 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
Classroom sessions at our Delhi and Noida centres and live online batches are taught by Uncodemy's senior trainer panel, with 10+ years average corporate training experience across data science, analytics and AI. The curriculum on this page was reviewed and signed off by Mr. Upendra Kumar Tiwari.
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 Mr. 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 Analytics & 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 Analytics & 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 Analytics 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 Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL 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 Analytics Trainer
Expertise
Data Analytics 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 madhyamgram learners today. Develop practical data science skills through instructor-led live online training, real projects, assignments and structured career preparation — from Python and SQL through machine learning, deep learning and Gen AI.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Scikit-learn, TensorFlow, Power BI |
| ML Engineer | Python, TensorFlow, Docker, MLflow, FastAPI |
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Data Engineer | SQL, Python, ETL tools, cloud data platforms |
| AI/ML Research Associate | Python, PyTorch/TensorFlow, NLP libraries |
| Level | 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 Python + Power BI basics | A shorter course may be sufficient |
| Full data science career transition | This program |
| Heavy analytics and dashboarding focus | Consider Data Analytics |
| 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.
Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the first modules focus on Python fundamentals and SQL, which need no traditional coding background.
15+ tools including Python, SQL, Statistics, 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 module on Generative AI, LLMs and prompt engineering, covering AI-assisted SQL and Python, Copilot in Excel and Power BI, RAG basics, and verifying AI output.
Five guided projects across BFSI, e-commerce, retail, healthcare and NLP 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 cover the identical syllabus.
The program fee is ₹21,500 plus 18% GST, total fee ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month.
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 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 framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. madhyamgram salaries often sit below Hyderabad at the same experience band, though remote roles and roles with Hyderabad-headquartered employers can pay at par. Actual salaries vary by sector, company, skills and experience.
Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Scientist, Data Analyst or ML Engineer.
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.
Uncodemy does not have a physical classroom centre in madhyamgram. madhyamgram learners join live online batches, which cover the identical syllabus, trainers and projects. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. madhyamgram is roughly 165 km from Hyderabad, about a 3.5-hour drive — learners who want classroom sessions typically travel to Delhi NCR, though for most madhyamgram learners the live online format is the practical choice.
madhyamgram learners join Uncodemy live online batches, which cover the same syllabus, trainers and projects as classroom batches. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. madhyamgram is roughly 165 km from Hyderabad, about a 3.5-hour drive — learners who want classroom sessions typically travel to Delhi NCR, though for most madhyamgram learners the live online format is the practical choice. Live online batches run on IST timings and include recorded sessions for revision.
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