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Read More →People in Hisar 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 taught live online for Hisar learners, while learners travelling to Delhi NCR can access the Delhi and Noida centres. The program includes hands-on projects, recorded classes and career-support services. The current course fee is ₹21,500 + GST, bringing the total fee to ₹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 skills 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 Hisar 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 statistical methods, programming and subject knowledge to turn data into useful insights and forecasts. The work covers gathering data, preparing it, developing models, checking results and explaining conclusions clearly. Organisations use it to analyse customer behaviour, anticipate demand, find fraud, personalise recommendations and automate tasks that once required manual effort.
What does a data scientist do? A data scientist obtains information from databases and business systems, prepares and investigates it, builds and assesses machine learning models, and turns the findings into recommendations for the business. Regular duties include writing Python and SQL, training and refining models, reviewing measures with stakeholders, and deploying or monitoring models in production.
Data analytics explains earlier events and the reasons behind them. Data science estimates likely future results. Business analytics applies analysis to operations 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 Hisar learners runs for 8–9 months, with 90+ live sessions and 150+ hours of learning. The eleven modules move from Python, SQL and statistics through data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, with practical guidance on using AI tools in everyday data work. Every module includes real-dataset exercises, and the program concludes with guided projects and a capstone project for your portfolio. Hisar learners join live online sessions, with classroom access at our Delhi and Noida centres when travelling to Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline may apply. No earlier programming knowledge is necessary because Python and SQL begin with the essentials. Basic mathematics is helpful but optional, as the statistics module builds the foundation progressively. Practical learning is best supported by an 8GB RAM laptop and a dependable internet connection.
Choose a batch time that fits your schedule. Book a free demo class or join a forthcoming weekday or weekend live batch, with flexible hours and hands-on instruction for students and working professionals. Batch dates, timings and available seats are updated regularly. Contact Uncodemy for the latest Hisar/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 is divided into 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 finishes 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 all eleven modules, assignments and the capstone project are finished, you receive the Uncodemy Data Science Program Certificate. It lists the program name, duration, tools covered and completion date, along with a verification reference. Certification follows completion of the required coursework and assessment and records successful completion of the program.
The certificate is accompanied by the practical work produced during training. Learners apply Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI in assignments and projects. The capstone gives learners a final chance to demonstrate the concepts studied.
The Data Science course from Uncodemy in Hisar includes a verified Uncodemy Data Science Program Certificate, available for checking 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 operates centres in Delhi and Noida and teaches learners throughout India, including Hisar and the wider Haryana region, through live online classes. The programs suit beginners, graduates, freshers and working professionals looking for practical workplace skills.
During this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps while completing projects based on real datasets. The lessons show how businesses recognise patterns, build models, forecast results and make data-informed decisions. Review the full module-by-module curriculum before enrolling.
The program combines instructor-led lessons, practical assignments, project work, interview preparation and career support. The career support policy describes the scope and limits of that assistance, together with the eligibility conditions published before enrolment.
If you are exploring another career direction, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for Hisar and Haryana learners. Data Science and Data Analytics share some foundations but lead to different roles, so review 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 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 assigns two distinct responsibilities. Trainers lead the live lessons, while domain reviewers are specialists who do not teach the batch and independently verify that the curriculum remains accurate and current. Mr. Upendra Kumar Tiwari reviews the technical content for this Data Science program, adding a separate quality check.
Uncodemy publishes each trainer's and domain reviewer's name, expertise and background, enabling learners to examine 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.
Hisar's economy has two strong pillars — agriculture, anchored by CCS Haryana Agricultural University, and industry, especially stainless steel and cotton. Both generate data, and both are rarely analysed beyond spreadsheets. For a Hisar learner, that is the opening: data science skills that can be used locally in agri and industrial settings, or taken to Delhi NCR and Chandigarh where most analytics jobs sit. This page sets out both paths honestly.
Few cities have as much agricultural expertise in one place. Field trials, soil and weather records, crop-variety performance, mandi prices and livestock data are all part of daily work at the agricultural university and the extension, seed, fertiliser and agri-input businesses around it.
For a data learner, this is excellent project material and occasionally a job route — research-project assistants, agri-tech start-ups and input companies need people who can run statistics, build dashboards and, increasingly, forecasting models. These roles are few and often contractual, but the experience is distinctive. Uncodemy has no tie-up with the university or any company named here.
Hisar's stainless-steel plant and the many smaller steel, pipe and cotton-processing units create production, quality and dispatch data. Larger plants have IT and MIS teams; smaller units mostly keep records in spreadsheets or basic accounting software.
A data-skilled employee in such a unit typically starts by automating reports, then moves to analysing rejection rates, energy use or inventory. It is rarely called data science, but it builds the same skills — and makes a strong story for a later move to an analytics role in NCR.
Uncodemy has no Hisar centre; classrooms are in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar), a long road or rail trip away. Hisar learners therefore join live online batches, taught live with the same trainers and projects as the classroom.
The total including GST is ₹25,370. There are 11 modules, ending with 5 guided projects and 1 capstone project. During the paddy and wheat seasons, learners from farming families are often busier; plan catch-up weeks using recordings. You can attend a free demo class first.
No coding background is assumed; the first module starts with Python basics.
Add Agmarknet mandi prices for cotton or mustard at Hisar-region markets if you want a forecasting element. State what the model cannot capture — irrigation, pests, policy changes — so the project reads as honest analysis.
Most analyst and data-science jobs for Hisar learners are in Delhi NCR — Gurugram in particular is a few hours away by road — or in Chandigarh and Mohali. Some learners take a first job in NCR and later return to work remotely. Local options exist in agri-input companies, banks, the industrial units described above and research projects.
Do not expect a data-scientist title as a first job. An analyst role in NCR or Chandigarh, or an analytics-heavy role in a local business, is the realistic first step.
| Setting | Role | Indicative range |
|---|---|---|
| Hisar business or plant | MIS / data executive | ₹2–3.5 LPA |
| Agri research project | Project assistant / analyst | Fixed project pay; varies by scheme |
| Gurugram or Chandigarh | Data analyst | ₹3.5–6.5 LPA |
Indicative only, from the general level of public listings and notices; actual pay varies. Uncodemy provides resume reviews, mock interviews and job-application support (placement assistance, not a job guarantee).
Gurugram and Chandigarh interviewers will test SQL, Excel or Power BI, statistics and one project in depth. If your project is agricultural, expect questions about data quality and causation: how do you know rainfall, not a new seed variety, drove the change? Answering that well shows maturity.
Use fresher questions and the data science roadmap to check your gaps before applying.
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. Classrooms are only in Noida (Sector 1) and Delhi (Shakarpur Extension, Laxmi Nagar). Hisar learners study in live online batches.
₹21,500 + GST, i.e. ₹25,370 with GST. EMI: from ₹4,622 a month for 6 months (final plan confirmed by a counsellor).
8–9 months, 150+ hours, 90+ live sessions and 11 modules, with 5 guided projects and 1 capstone project.
Yes. Statistics, Python and machine learning are increasingly used in crop research, agri-tech and agribusiness. Your domain knowledge makes your projects stronger.
A few, mainly in agri-input companies, banks, industrial units and research projects. Most data-science jobs for Hisar learners are in NCR or Chandigarh.
Yes, but plan ahead. Classes are recorded, so you can catch up after a busy fortnight.
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.
Hisar learners can join online batches that follow the same syllabus and use the same trainers and projects as classroom training. Learners who want face-to-face study or plan to relocate to Delhi NCR can attend the Delhi or Noida centres. For most Hisar-based learners, online classes avoid travel while retaining the same curriculum and teaching team.
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