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Read More →Students based in Lucknow can enrol in Uncodemy's Data Science with Generative AI program — an 8–9 month instructor-led course spanning Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Classes are conducted live online for Lucknow participants, while classroom access is available at the Delhi and Noida centres for those who commute to Delhi NCR. The curriculum features hands-on project work, recorded lessons and career-support services. The current course fee stands at ₹21,500 + GST, making the total fee ₹25,370.
Learn alongside professionals with 8+ years of experience
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
Learners who complete Uncodemy's Data Science training develop practical ability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing the learning and career-preparation work, eligible learners may pursue positions such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for Lucknow learners are refreshed regularly — view verified outcomes at uncodemy.com/placement.
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 combines statistics, programming and domain knowledge to transform data into meaningful insights and predictions. The discipline covers data collection and preparation, model building, performance evaluation and communicating findings clearly. Organisations use it to study customer behaviour, forecast demand, detect fraud, personalise recommendations and automate decisions that once required manual effort.
What does a data scientist do? A data scientist collects information from databases and business systems, cleans and explores it, builds and tests machine learning models, and converts the results into business recommendations. Their daily tasks involve writing Python and SQL, training and improving models, discussing metrics with stakeholders, and deploying or monitoring models in production.
Data analytics examines past events and their causes. Data science forecasts possible future outcomes. Business analytics uses analysis to guide processes and business 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 Lucknow learners spans 8–9 months and features 90+ live sessions delivering 150+ hours of learning. Its eleven modules advance through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with dedicated emphasis on using AI tools in day-to-day data science work. Every module includes practical exercises on real datasets, and the program concludes with guided projects and a capstone project for your portfolio. Lucknow learners attend live online sessions, with classroom access at our Delhi and Noida centres when visiting Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline can apply. Previous programming experience is not needed because Python and SQL are introduced from the fundamentals. Basic mathematical familiarity is helpful but optional, as the statistics module develops the foundation step by step. Practical sessions are best supported by an 8GB RAM laptop and a stable internet connection.
Select a batch time that fits your schedule. Reserve a free demo class or join an upcoming weekday or weekend live batch, with flexible timings and practical instruction for students and working professionals. Batch dates, schedules and seat availability are updated regularly. Contact Uncodemy for the latest Lucknow/online batch schedule. All timings are in IST.
| 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 Khan | 02Seats |
Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before enrolling.
The syllabus comprises eleven modules with 150+ hours of learning, following the practical data science workflow: obtain the data, prepare it, analyse it, build models, deploy them and explain the results. Each module concludes with a graded assignment based on a real dataset, while the final module brings the learning together in 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 will receive the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools covered and completion date, along with a verification reference. Certification is granted after the required coursework and assessment are finished, documenting successful completion of the Uncodemy Data Science program.
The certificate is provided together with the practical work completed during the program. Learners apply the curriculum's Data Science tools — including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI — in their assignments and projects. The capstone project allows learners to apply the training concepts in practice.
Uncodemy's Data Science course in Lucknow includes a verified Uncodemy Data Science Program Certificate that learners can check online through 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
Excel
Power BI
Tableau
ChatGPT
Copilot
Uncodemy operates training centres in Delhi and Noida and serves learners across India, including Lucknow, via live online classes. The courses are designed for beginners, graduates, freshers and working professionals seeking practical skills that apply to real jobs.
In this Data Science program, learners practise Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects using real datasets. The training demonstrates how businesses identify patterns, build models, generate forecasts and support decisions with data. You can review the full module-by-module curriculum before enrolling.
Uncodemy also provides instructor-led lessons, practical assignments, project work, interview preparation and career support. Our career support policy explains what that assistance includes and excludes, together with the eligibility conditions published before enrolment.
If you are considering another career route, Uncodemy also provides Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for Lucknow learners. Data Science and Data Analytics share some basics but lead to different career roles, so compare both curricula before selecting one.
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
Uncodemy keeps two roles separate. Trainers conduct the live lessons, while domain reviewers are specialists who do not teach the batch and independently check that the curriculum is accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, so the teaching delivery is not the only quality check.
The names, areas of expertise and backgrounds of Uncodemy's trainers and domain reviewers are published, allowing learners to research them 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 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.
As Uttar Pradesh's capital, Lucknow holds an enormous amount of public data: state departments, development programmes, large hospitals and medical institutes, cooperative and public-sector banks, and the consultancies that support them. Much of that data is still handled in spreadsheets. This page looks at data science from that angle — where Lucknow's data work really is, who in the city takes up the subject, how to study it here, and how to build projects that local employers recognise.
State departments and the consultancies, monitoring agencies and NGOs that run development and health programmes need MIS, dashboards and data quality checks — often through contractual project roles.
Large hospitals and medical institutes, plus private hospital chains, need patient-flow, billing and outcome analysis.
Regional offices of banks and insurers, IT-services offices in the city, and remote teams of NCR companies hire analysts.
Data-scientist titles are less common in Lucknow than analyst, MIS or monitoring-and-evaluation titles. Read job descriptions, not titles: many "MIS officer" roles in programmes now expect SQL, Power BI and some Python.
Python and SQL are taught from scratch, so no coding background is needed.
There is no Uncodemy centre in Lucknow; the classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Lucknow learners join live online batches, taught by the same trainers as the classroom, with recordings for revision.
With GST, the fee is ₹25,370. The 11 modules take you from Python and SQL to machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, ending with 5 guided projects and 1 capstone project. Gomti Nagar and Hazratganj offices tend to finish late, so working learners often choose weekend batches. Start with a free demo class.
Public data in Uttar Pradesh is plentiful but messy: district names spelt several ways, figures revised months later, formats that change between years, and PDFs instead of spreadsheets. Handling that is a skill Lucknow employers value highly.
Choose one public dataset family and go deep rather than wide:
Present it as a two-page brief with a Power BI dashboard. Programme managers and consultancies in Lucknow read briefs, not notebooks.
| Role | Typical employer | Indicative range |
|---|---|---|
| MIS / data executive | Programmes, hospitals, businesses | ₹2.5–4 LPA |
| Data analyst | Banks, IT offices, consultancies | ₹3.5–6 LPA |
| Junior data scientist (remote or NCR) | Analytics and product firms | ₹5–9 LPA |
Indicative ranges, based on the general level of public listings; actual offers vary by employer and interview. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
Programme and consultancy interviews often include a practical test: clean a messy spreadsheet, build a quick dashboard, and explain one surprising number. Bank and IT-services interviews test SQL and statistics more formally. Remote roles with NCR firms add a deeper machine learning discussion.
Prepare with Lucknow data science interview questions and fresher questions, and keep a two-minute explanation of your capstone ready in both English and Hindi — some local panels switch between the two.
The long programme is easiest to finish when it is tied to something concrete. Set a target in the first week — an analyst role in a specific kind of organisation, a move inside your current employer, or a remote role — and choose your projects to match it.
Many Lucknow learners also form small study circles with classmates from the same batch; meeting at a library or café in Gomti Nagar or Aliganj once a fortnight to review each other's code keeps momentum through the middle months.
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. Uncodemy's classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Lucknow learners take live online classes.
₹21,500 + GST; including GST it is ₹25,370. EMI: from ₹4,622 a month for 6 months (final plan confirmed by a counsellor).
8–9 months, with 150+ hours and 90+ live sessions in 11 modules, ending with 5 guided projects and 1 capstone project.
Yes. SQL, Power BI, Python automation and statistics are directly useful for monitoring and reporting work, and help you move to analyst roles.
There are analyst, MIS and monitoring roles in programmes, hospitals, banks and IT offices, plus remote roles with NCR firms. Pure data-scientist roles are fewer.
Some analyst roles allow it, usually after a period of experience. Many first jobs still expect you to be in the office.
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.
Lucknow learners can attend live online batches using the same syllabus, trainers and projects as classroom training. Those who prefer in-person study or plan to relocate to Delhi NCR can attend the Delhi or Noida centres. For most Lucknow-based learners, online classes remove travel while preserving the same curriculum and teaching team.
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