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Read More →faridabad learners can join Uncodemy's Data Science with Generative AI program, an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Lessons are delivered live online for faridabad learners, with classroom access at the Delhi and Noida centres for learners travelling to Delhi NCR. The program also provides real projects, recorded sessions and career-support services. The current course fee is ₹21,500 + GST, with the total fee at ₹25,370.
Learn with professionals who bring 8+ years of experience
Build experience through live projects and case studies
Keep lifelong access to recordings and learning materials
Resume preparation, mock interviews and career assistance
Receive an Uncodemy course completion certificate
Online and classroom batches on weekdays or weekends
Learners who complete Uncodemy's Data Science training gain practical ability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing the training and career preparation, eligible learners may pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for faridabad learners are updated 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 subject expertise to turn data into insights and predictions. It includes gathering and preparing information, building and testing models, and presenting the results clearly. Organisations use it to study customer behaviour, forecast demand, identify fraud, tailor recommendations and automate decisions that were once manual.
What does a data scientist do? A data scientist collects information from databases and business systems, cleans and examines it, develops and assesses machine learning models, and turns the findings into business recommendations. Regular work includes writing Python and SQL, training and refining models, reviewing metrics with stakeholders, and deploying or monitoring models in production.
Data analytics studies what happened and the reasons behind it. Data science estimates what could happen next. Business analytics applies analysis to business processes and strategic planning.
| 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 faridabad learners lasts 8–9 months and includes 90+ live sessions with 150+ hours of learning. Its eleven modules progress through Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with dedicated guidance on using AI tools in everyday data science work. Each module includes practical exercises on real datasets, and the program ends with guided projects and a capstone project for your portfolio. faridabad learners attend live online sessions, with classroom access at our Delhi and Noida centres if they travel to Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline may apply. Previous programming experience is not needed because Python and SQL begin with the basics. Familiarity with elementary mathematics is useful but optional, as the statistics module develops the foundation step by step. Practical sessions require an 8GB RAM laptop and a reliable internet connection.
Choose a batch schedule that suits your routine. Book a free demo class or join an upcoming weekday or weekend live batch, with flexible timings and practical training for students and working professionals. Batch dates, timings and seat availability are updated regularly. Contact Uncodemy for the latest faridabad/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 contains eleven modules and 150+ hours of learning, arranged around the practical data science workflow: obtain data, clean it, analyse it, build models, deploy them and communicate the results. Each module concludes with a graded assignment using a real dataset, while the final module brings the learning together through 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 | |
After completing all eleven modules, assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools taught and completion date, along with a verification reference. Certification is issued after the required coursework and assessment are complete, documenting successful completion of the program.
The certificate is provided with 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. The capstone project gives them an opportunity to apply the concepts developed throughout the course.
Uncodemy's Data Science course in faridabad includes a verified Uncodemy Data Science Program Certificate that can be checked online through the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com
Python
SQL
Statistics
Pandas
NumPy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy runs training centres in Delhi and Noida and reaches learners throughout India, including faridabad, through live online classes. The programs are designed for beginners, graduates, freshers and working professionals who want practical skills relevant to employment.
In this Data Science program, learners practise Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps through projects based on real datasets. The training explains how businesses find patterns, create models, generate forecasts and use data to support decisions. Read the full module-by-module curriculum before enrolling.
The program includes instructor-led lessons, practical assignments, project-based learning, interview preparation and career support. The career support policy explains what this assistance covers and what it does not, together with the eligibility conditions published before enrolment.
If you are exploring other career paths, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for faridabad learners. Data Science and Data Analytics share some basic subjects but lead to different roles, so compare both curricula before making a choice.
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 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 separates two responsibilities that many institutes combine. Trainers lead the live sessions, while domain reviewers are independent specialists who do not teach the batch but verify that the curriculum is technically accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, giving it an additional quality check beyond the teaching sessions.
Uncodemy publishes the names, fields and backgrounds of its trainers and domain reviewers, so learners can review their experience 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.
Plenty of Faridabad graduates already do data work without the title — preparing dispatch reports for a component maker, reconciling sales for a distributor, keeping the MIS sheet in a hospital or a school. Data science builds on exactly that habit of working with numbers. This page explains how a Faridabad learner can turn it into a data-analyst or data-scientist role, which employers are within reach, how attending works, and what the long 8–9 months programme asks of you.
B.Com, BBA and MBA students from the city's colleges, including Aggarwal College in Ballabhgarh and the Manav Rachna and Lingaya's campuses, who are comfortable with Excel and want an analytical first job instead of a sales one.
People already building monthly reports in Faridabad's manufacturing, logistics and trading firms, who want to move from "what happened" to "what will happen".
BSc, BCA and BTech students who need a structured route through statistics, Python and machine learning before placements.
All three can start without coding: Prior coding is not required: Python and SQL are taught from the basics, and the statistics module builds the maths step by step. The difference is speed — Excel-heavy learners usually find SQL and Power BI easy and Python harder, while engineering students find the reverse.
Inside Faridabad, data roles are mostly titled MIS executive, business analyst or reporting analyst, in larger manufacturers, hospitals, retail chains and finance companies. Dedicated data-science teams are rare in the city itself. The bigger pool is a commute away: analytics and consulting firms in Gurugram, banks and insurers in South Delhi and Okhla, and IT-services and product companies in Noida.
Most people finishing this course enter as data analysts, not data scientists. That is normal: one or two years of analyst work, plus the machine learning you learn here, is the usual route to a data-scientist title. Be wary of anyone promising a direct jump.
Uncodemy has classrooms in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar); there is none in Faridabad. Of the two, Laxmi Nagar is the easier trip from the city — the Violet Line into central Delhi, a change at Mandi House, then a short ride east. For learners in Sector 15–21 or near the Old Faridabad stations that can work on weekends. From Greater Faridabad or Ballabhgarh, live online is usually more sensible.
Including GST the programme costs ₹25,370. The syllabus has 11 modules and uses Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, ChatGPT, Copilot and MLflow; you finish with 5 guided projects and 1 capstone project. Online and classroom batches follow the same syllabus, and you can try a free demo class in either mode.
Length is the real challenge of this course. Most drop-offs happen around the third month, when Python is no longer new and machine learning has not started. A few habits help Faridabad learners who also work or study:
Each project should end with a one-page business summary, not only a notebook. Interviewers in NCR analytics firms usually ask what decision your analysis supports.
| Role | Usual location | Indicative range |
|---|---|---|
| MIS / reporting analyst | Faridabad firms | ₹2.5–4.5 LPA |
| Data analyst (fresher) | Gurugram, Delhi, Noida | ₹3.5–6 LPA |
| Junior data scientist | NCR analytics and product teams | ₹5–9 LPA |
| Data scientist, 2–4 years | NCR | ₹9–16 LPA |
Indicative ranges only, drawn from the general level of public job listings. Real offers depend on employer, skills and interview performance, and Uncodemy does not guarantee a salary.
Analyst interviews in Gurugram and Delhi lean heavily on SQL (joins, group-bys, window functions) and an Excel or Power BI task. Data-scientist interviews add statistics — hypothesis tests, confidence intervals, A/B testing — and questions about one of your models: why that metric, how you handled imbalance, what you would do with more time.
Start practising interview questions from the SQL module onwards rather than at the end. Useful material: data science questions for freshers and most-asked data science questions. Uncodemy's support covers resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
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. The classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Faridabad learners either travel to the Delhi centre by Metro or study in the live online batch.
₹21,500 + GST, which is ₹25,370 with GST. EMI is available from ₹4,622 a month for 6 months (final plan confirmed by a counsellor).
It runs 8–9 months with 150+ hours and 90+ live sessions, across 11 modules: Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps, ending with 5 guided projects and 1 capstone project.
Yes. Commerce graduates often do well in the SQL, Excel and BI parts. Python takes more practice, but no prior coding is needed to begin.
Some MIS and analyst roles exist in local manufacturers, hospitals and finance companies. Most data-science openings for Faridabad residents are in Gurugram, Delhi and Noida.
On weekends it is manageable from central Faridabad via the Violet and Blue Lines. On weekdays after work, most learners prefer online classes.
There is no guarantee. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
Yes, you can join a free demo class first.
faridabad learners can attend live online batches that use the same syllabus, trainers and projects as classroom training. Learners who prefer in-person study or are relocating to Delhi NCR can attend sessions at the Delhi or Noida centres. For most faridabad-based learners, online classes remove travel while retaining the same curriculum and teaching team.
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