Learners in Delhi can join Uncodemy's Data Science with Generative AI program in person at our classroom centre in Shakarpur, or live online from anywhere in the city — an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The program includes real project work, recorded lessons and career-support services. The current course fee is ₹21,500 + GST, with the total fee at ₹25,370.
Learn from 8+ years experienced professionals
Build skills through live projects and case studies
Keep lifetime access to recordings and learning materials
Resume development, mock interviews and career support
Receive an Uncodemy completion certificate
Online and classroom batches on weekdays or weekends
Uncodemy's Data Science learners gain hands-on experience with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. Once they complete the training and career-readiness activities, eligible learners can explore opportunities such as Data Scientist, Data Analyst and Machine Learning Engineer. Our placement records are updated from time to time; verified outcomes are available at uncodemy.com/placement.
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 combines coding, statistics and subject knowledge to turn raw data into useful explanations, predictions and business decisions. It covers the complete journey from collecting and preparing data to developing models, checking their performance and presenting results clearly. Companies use these methods to understand customers, forecast demand, identify fraud, personalise experiences and streamline work that was once handled manually.
What does a data scientist do? A data scientist works with information from databases and business applications, cleans and investigates it, creates machine learning models and converts the findings into practical recommendations. Typical work includes using Python and SQL, improving model quality, explaining metrics to stakeholders and deploying or tracking models after they go live.
Data analytics mainly explains what has already happened and why. Data science uses patterns in data to estimate what may happen next, while business analytics turns those findings into operational and strategic actions.
| 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.
This Delhi Data Science program is an 8–9 month learning journey with 90+ live classes and more than 150 hours of instruction. The eleven modules move from Python, SQL and statistics to data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps. AI tools are also explored through practical data-science use cases. Students work with real datasets in each stage and finish with guided projects plus a portfolio-ready capstone. Learners in Delhi may attend at the Shakarpur classroom centre or join the same live sessions online, with the same curriculum, trainers and project work in both formats.
Who can benefit from this course:
Eligibility: Applications are open to graduates from any field, and no earlier programming experience is required because Python and SQL begin with the basics. Some comfort with mathematics can help but is not essential; the statistics lessons build the required foundation gradually. For smooth practical work, students should have an 8GB RAM laptop and a reliable internet connection.
Pick a batch time that suits your routine. Visit our Shakarpur centre for a free demo class in person, or join an upcoming weekday or weekend live batch. Batch dates, schedules and seat availability are updated regularly. Contact Uncodemy for the latest Delhi/online batch schedule. All timings are in IST.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 30Sept | 07:30 PM – 08:30 PM | Mr. Upendra | 01Seat |
| 12Oct | 02:00 PM – 03:00 PM | Mr. Irshad | 02Seats |
| 19Oct | 10:30 AM – 11:30 AM | Ms. Rachna | 01Seat |
| 26Oct | 12:00 PM – 01:00 PM | Mr. Syed Najeeb | 02Seats |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Upendra | 02Seats |
Seats are limited and updated daily. All timings are in IST.
This Delhi syllabus is divided into eleven modules and represents more than 150 hours of guided learning. It starts with programming and statistics foundations, then builds through machine learning, deep learning, NLP, business intelligence and Generative AI, before covering MLOps and the final capstone. Every module includes a practical assignment based on a real dataset, giving learners an opportunity to apply the concepts as they progress.
| # | 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 the eleven modules, required assignments and capstone, Uncodemy issues a Data Science Program Certificate. It includes the program title, duration, technologies covered and completion date, along with a verification reference that can be checked at certificate.uncodemy.com.
The certificate accompanies the practical work completed throughout the course. Learners create assignments and projects with the curriculum's tools, including Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. The capstone brings these concepts together in an applied project.
Learners completing Uncodemy's Data Science course in Delhi receive a verifiable Uncodemy Data Science Program Certificate, with online checking available through the official Uncodemy Certificate Portal.
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Python
SQL
Statistics
Pandas
NumPy
Excel
Power BI
Tableau
ChatGPT
CopilotUncodemy operates classroom centres in Delhi and Noida and also teaches learners across India through live online batches. The Delhi location in Shakarpur, a short distance from Nirman Vihar Metro Station, brings the same trainer network, curriculum and career-support setup available at Noida closer to East Delhi learners.
During this Data Science course, students use real datasets to practise Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps. They learn how organisations find patterns, build predictive models, create forecasts and use evidence to make decisions. The complete module-by-module curriculum is available for review before enrolment.
The learning experience combines live instruction with practical assignments, projects, interview preparation and career assistance. Details about the scope of that support, including its limits and the eligibility conditions, are published in Uncodemy's career support policy before a learner enrols.
Uncodemy also runs Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses — all available at the Delhi centre. Data Science and Data Analytics share some basics but lead to different career roles, so compare both curricula before choosing.
Portfolio review:We assess your experience and guided projects, then help shape them into a portfolio that clearly demonstrates your ability.
Resume & LinkedIn:Your resume is structured around relevant keywords and measurable results, while your LinkedIn profile is aligned with the same story.
Interview preparation:Practise Python and SQL exercises, machine learning case studies and behavioural questions relevant to data science roles.
Mock interviews:Take part in trainer-led mock sessions and receive clear written feedback on areas to improve.
Opportunity sharing:Relevant openings from our network of 850+ companies are shared, along with guidance during applications and interviews.
Continued support:This is ongoing guidance rather than a promise of employment; hiring decisions remain with employers. Learners who remain engaged can continue receiving support after the program ends.
The people who actually teach this course
Uncodemy separates teaching from independent academic review. Trainers lead the live classes, while domain reviewers check that the syllabus remains accurate and relevant without teaching the batch. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, adding a separate quality check alongside classroom delivery.
The Delhi classroom batches are taught by the same faculty who support the Noida and online formats. Prospective learners may request to observe part of a live session before making a decision.
Trainer and reviewer names, areas of expertise and professional backgrounds are shared openly by Uncodemy, so learners can review the people connected with the course before enrolling.
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.
Start your Data Science learning journey with Uncodemy in Delhi or through a live online batch. Build practical skills in Data Science and Generative AI with trainer guidance, real project practice and focused career support. Schedule a demo or attend a trial class to experience the teaching approach before you enrol.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Machine Learning |
| ML Engineer | Python, ML, MLOps |
| Data Analyst | SQL, Python, Power BI/Tableau |
| Business Intelligence Analyst | SQL, Power BI, Tableau |
| Data Engineer | SQL, Python, Data Engineering tools |
| AI/ML Research Associate | Python, ML, Deep Learning |
| 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 | Uncodemy |
|---|---|
| Duration | 8–9 Months |
| Learning Hours | 150+ Hours |
| Live Sessions | 90+ |
| Tools | 15+ |
| Gen AI Module | Yes |
| Projects | 5 Guided + 1 Capstone |
| Classroom option | Taught at our own Shakarpur centre — not a rented seat or partner space |
| Career Support | Dedicated Career & Placement Assistance |
| If you want... | Recommend |
|---|---|
| Learn Data Science from basics | Suitable |
| Build Python + ML skills | Suitable |
| Learn Gen AI | Suitable |
| Attend classroom training in East Delhi | Delhi centre, classroom mode |
| Attend live classes without travel | Live Online |
| Switch career into Data Science | Requires consistent practice |
| Guaranteed employment | Not guaranteed |
The program takes 8–9 months and delivers 150+ hours of learning through more than 90 live sessions. Delhi learners can attend in person at our Shakarpur centre or join live online batches on weekdays or weekends.
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, next to DSEU Ambedkar College, Shakarpur Extension, Delhi 110092 — a 10–15 minute walk from Nirman Vihar Metro Station.
Yes. Uncodemy's Delhi centre in Shakarpur offers in-person classroom training for Data Science, using the same trainers, curriculum and career support as our Noida and online batches.
Yes. No earlier programming experience is necessary. Python and SQL are introduced from the beginning.
15+ tools including 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 focused 10-hour module covering Generative AI, LLMs and prompt engineering.
Five guided projects in retail, banking, HR, e-commerce and healthcare, plus one capstone project.
All 90+ sessions are live, with recordings available afterward. Classroom and live online formats use the same syllabus.
The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370, whether classroom, hybrid or online. EMI starts from ₹4,622/month.
Yes. EMI starts from ₹4,622 per month. Exact tenure and eligibility depend on the financing option — a counsellor can confirm your plan.
Yes. You can request an in-person demo at our Delhi centre or a live online demo, to see the teaching style before deciding.
Dedicated career and placement assistance includes resume building, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. Employment is not guaranteed — hiring decisions rest with employers.
Yes. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. 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.
Graduates from any discipline may enrol; no prior coding or analytics experience is required.
Statistics are based on Uncodemy's internal records and publicly available review-platform information, and may change over time. Career and placement assistance does not constitute a guarantee of employment or salary.
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This is Uncodemy's own training centre — not a satellite office or partner space. Delhi learners can attend in person at our Shakarpur classroom centre or join the same sessions live online. Uncodemy's Delhi centre is located on the 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Road, Shakarpur Extension — a 10–15 minute walk from Nirman Vihar Metro Station and Laxmi Nagar Metro Station. Delhi learners can also attend classroom sessions at Uncodemy's centre in Noida. Whichever centre or format you choose, you join the same batches, with the same trainers and the same curriculum.
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