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🔥 Most Popular in Hisar

Data Science Training Course in Hisar With Gen AI by Uncodemy

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.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

Now Pay Only
₹21,500/-
+GST
2-Class Trial
Attend 2 Classes
No Hidden Charges
100% Transparent
EMI AVAILABLE
Starts at ₹4,622/M
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Expert Trainers

Learn alongside professionals with 8+ years of experience

Live Projects

Build skills through live projects and case studies

Lifetime Access

Keep lifetime access to recordings and learning materials

Dedicated Career & Placement Assistance

Resume development, mock interviews and career support

Certified Course

Receive an Uncodemy completion certificate

Flexible Batches

Online and classroom batches on weekdays or weekends

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Hiring Network
54,000+
Learners Trained
200+
Corporate Associations
100%
Placement Support
Online & Offline Classes
Weekend & Weekday Batches
100% Practical Training
Affordable Fees
EMI Options Available
Dedicated Support

Program Details

Data Science course included AI— Training & Placement Program Hands-on learning focused on practical Data Science skills and interview preparation.
A comprehensive 8–9 month instructor-led training program covering Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI with practical projects, mentoring and career support.
📚 Learning:
150+ Hours of Learning
⏱️ Program Duration:
8–9 Months
🎓 Live Training:
90+ Live Sessions
🛠️ Technology Coverage:
15+ Tools & Technologies
💼 Practical Learning:
Hands-on Projects & Case Studies
💰 Program Fee:
₹21,500 + 18% GST
💰 Total Fee:
₹25,370
💳 EMI:
Starting From ₹4,622/Month*
🚀 Career Support:
Dedicated Career & Placement Assistance
🏢 Hiring Network:
850+ Companies in Our Hiring Network
🎯 Career Support Includes:
Resume Building & LinkedIn Optimization, Mock Interviews & Interview Preparation, Career Guidance & Job Opportunity Assistance

Data Science Course in Hisar — Quick Facts

🎓 Course:
Data Science with Gen AI
🏢 Provider:
Uncodemy Edutech Pvt. Ltd.
📚 Total Learning:
150+ Hours
📖 Curriculum:
11 Modules
💼 Projects:
5 Guided + 1 Capstone
🛠️ Tools:
Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, Gen AI
🌐 Modes:
Live Online for Hisar (Offline available only at Delhi & Noida centres)
✅ Prior Coding:
Not Required
📜 Certificate:
Uncodemy Program Certificate
🗓️ Last Reviewed:
15 September 2026

List of Placed Students Trained by Uncodemy

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.

Ankit Singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Science Batch
Batch: DS/09/0823/S WD 7PM
Read placement record
Ashish Butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Science Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Rajat Kashyap
4.0 LPA
Delhi

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar B. Shembade
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Science Batch
Batch: DS/WD/S 08:00 PM 08 JAN-UC
Read placement record
Priyanka Kumari
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Science Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Shruti Saxena
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

Data Science Batch
Batch: DS/09/UP WD 12:30 PM
Read placement record

What is Data Science?

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 vs Data Science vs Business Analytics

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.

Course Overview

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:

  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — who want an entry into data science or analytics.
  • Working professionals in operations, sales, finance, HR or marketing who already work with data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tools.
  • Hisar-based learners who prefer live online training or can travel to Delhi/Noida for classroom training.

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.

Upcoming Data Science Course Batches in Hisar

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.

Weekdays

Date Time Trainer Seats Left
22Sept 07:30 PM – 08:30 PM Mr. Upendra Kumar Tiwari 02Seat
28Sept 02:00 PM – 03:00 PM Mr. Irshad Khan 01Seats
02Oct 10:30 AM – 11:30 AM Ms. Rachna Verma 02Seat
06Oct 12:00 PM – 01:00 PM Mr. Syed Najeeb 01Seats

Weekends

Date Time Trainer Seats Left
27Sept 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.

Curriculums for Data Science Training Courses in Hisar

Data Science Course Syllabus in Hisar

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 1: Python for Data Science — 20 Hours

  • Python fundamentals: variables, data types, loops, functions
  • Lists, tuples, dictionaries, sets, file operations
  • NumPy: arrays, vectorised operations, broadcasting
  • Pandas: Series, DataFrames, indexing, filtering, merging, grouping
  • Handling missing values and duplicates
  • Matplotlib, Seaborn and Jupyter Notebook

Module 2: SQL & Database Management — 15 Hours

  • Relational database concepts, ER diagrams, normalisation
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • All join types: inner, left, right, full outer, self, cross
  • Subqueries and Common Table Expressions
  • Window functions: ROW_NUMBER, RANK, LEAD, LAG
  • Connecting SQL databases to Python

Module 3: Statistics & Probability for Data Science — 15 Hours

  • Descriptive statistics: mean, median, variance, standard deviation
  • Probability fundamentals and data distributions
  • Sampling methods and the Central Limit Theorem
  • Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
  • Correlation and regression basics
  • A/B testing in a business context

Module 4: Data Cleaning & Exploratory Data Analysis — 12 Hours

  • Data quality assessment and profiling
  • Handling missing values: deletion, imputation, flagging
  • Outlier detection and treatment
  • Feature creation and binning
  • Univariate, bivariate and multivariate analysis
  • Correlation heatmaps and structuring an EDA report

Module 5: Machine Learning (Supervised & Unsupervised) — 25 Hours

  • Linear and logistic regression
  • Decision trees, random forests and ensemble methods
  • Support Vector Machines and K-Nearest Neighbours
  • K-Means clustering, hierarchical clustering and PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation, hyperparameter tuning and pipelines

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions and backpropagation
  • TensorFlow and Keras basics
  • Feed-forward neural networks and regularisation
  • Convolutional Neural Networks (CNN) for images
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning and model fine-tuning

Module 7: Natural Language Processing (NLP) — 10 Hours

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Topic modelling with LDA
  • Introduction to transformers and BERT

Module 8: Power BI & Tableau for Data Science — 15 Hours

  • Power BI: connecting to Excel, SQL, CSV and web sources
  • Data modelling, relationships and DAX measures
  • Dashboard design, filters, slicers and drill-through
  • Tableau: dimensions, measures, calculated fields
  • Filters, groups, sets, parameters and dashboards
  • Publishing dashboards for business stakeholder review

Module 9: Generative AI, LLMs & Prompt Engineering — 10 Hours

  • Prompt engineering for data tasks
  • Generating and debugging SQL and Python with AI assistance
  • Copilot in Excel and Power BI
  • AI-assisted insight summaries and report drafting
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy and what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model versioning and experiment tracking with MLflow
  • Packaging models with Flask/FastAPI
  • Deploying models to cloud (AWS/GCP/Azure basics)
  • Monitoring model performance and drift
  • CI/CD basics for ML pipelines
  • Retraining strategies and data versioning

Module 11: Capstone Projects & Career Preparation — 10+ Hours

  • End-to-end capstone project on a real business dataset
  • Building a GitHub portfolio and dashboard showcase
  • Data science resume writing and LinkedIn optimisation
  • SQL and case-study interview practice
  • Mock interviews with feedback
# 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

Contacted by

UT

Upendra Kumar Tiwari

Senior Data Science Trainer

15+ Years Experience

Specialization: Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud, NLP

Get Your Data Science Certification In Hisar

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.

Key Benefits of Our Data Science Certification:

  • Program Completion: Provides a record of successful completion of the Data Science program.
  • Online Verification: The certificate includes a verification reference that can be checked online.
  • Practical Learning: The training includes assignments, projects and a capstone project using Data Science tools.

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
IIBA Endorsed Education Provider certificate — Uncodemy
Uncodemy Data Science Program Certificate
Uncodemy MSME registration certificate

Tools and Technologies Covered

Apply Now

Introducing Uncodemy


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.

Instructors

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.

Enroll in Our Data Science Training in Hisar Today!

Join Uncodemy's Data Science Training for Hisar learners and build practical Data Science and Gen AI skills through live online instruction, real project work and dedicated career guidance. Book a demo or trial class to understand the teaching approach before enrolling.

Data Scientist Jobs and Career Scope in Hisar+

Hisar is an important education and business centre in Haryana, with opportunities across manufacturing, education, healthcare, retail, finance, logistics and business services. Data Science skills can help these sectors with demand prediction, quality analysis, customer insights, operational reporting and automation. Learners may pursue local roles, remote positions with companies in Delhi NCR, Noida, Bengaluru, Hyderabad and Mumbai, or on-site work in nearby commercial centres. Employers increasingly seek practical Python, SQL and at least one ML project, and this program is designed to help build that portfolio. Hisar learners generally attend live online batches with the same syllabus, trainers and projects as classroom training.

Job Roles After This Course+

This course supports roles including Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. These paths share Python, SQL, statistics and visualisation, but require different levels of modelling and AI expertise.
RoleCore Tools
Data ScientistPython, SQL, Machine Learning
ML EngineerPython, ML, MLOps
Data AnalystSQL, Python, Power BI/Tableau
Business Intelligence AnalystSQL, Power BI, Tableau
Data EngineerSQL, Python, Data Engineering tools
AI/ML Research AssociatePython, ML, Deep Learning
Many graduates begin as Data Analysts or Junior Data Scientists and move into specialised positions with experience. The course cannot promise a specific job title, since outcomes depend on skills, experience, interview performance and hiring conditions.

Data Scientist Salary in Hisar — Experience-wise+

The salary table offers an Indicative / Hisar realistic expectation. These figures are not verified Hisar-specific salary data. Actual pay may vary according to the role, skills, experience, employer, interview performance and market conditions.
LevelSalary 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
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: September 2026. Salary ranges are indicative and vary by role, skills, experience, location and employer. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Hisar+

Hisar's economy creates demand for data capability across several industries. Employers in these fields commonly look for working Python and SQL skills plus at least one ML project.
  • Manufacturing — quality analytics, production forecasting and supply-chain reporting in the agro-processing, engineering and hardware industries.
  • Education — student performance analytics, enrolment forecasting and operational reporting for schools, colleges and coaching institutes.
  • Healthcare — clinical data analysis, patient-flow reporting and hospital operations analytics.
  • Retail and e-commerce — sales analytics, inventory forecasting and customer segmentation for local and regional businesses.
  • Financial services, logistics and business services — credit analytics, risk reporting, route optimisation and MIS automation.
Uncodemy does not claim verified employer partnerships or Hisar-specific hiring figures. Learners should confirm current openings directly with employers.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist requires building skills in stages, not completing one course and stopping. Skipping important foundations often leads to gaps during interviews or workplace assignments.
  • Learn Python — data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn Statistics — descriptive statistics, probability, distributions and hypothesis testing, so your conclusions hold up when questioned.
  • Learn SQL — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn Machine Learning — regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Learn Deep Learning — neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build Portfolio Projects — three to five projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare for Interviews — Python and SQL practice, ML case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools.
Typical timeline: 8–9 months of consistent practice to become interview-ready, assuming focused study on most days instead of occasional bursts.

How This Course Compares to Other Data Science Courses in Hisar+

Hisar and the wider Haryana region provide several data science training options, which differ in depth, cost and teaching quality. The comparison below can help you decide which option matches your needs.
FactorUncodemy
Duration8–9 Months
Learning Hours150+ Hours
Live Sessions90+
Tools15+
Gen AI ModuleYes
Projects5 Guided + 1 Capstone
Career SupportDedicated Career & Placement Assistance
Uncodemy is not necessarily the cheapest option. Learners should compare curriculum depth, live teaching, project work, tools, trainer experience, career support, fees and learning format before enrolling.

Online vs Offline vs Hybrid — Which Should You Choose?+

For Hisar learners, live online is typically the most convenient format. Classroom sessions are available at the Delhi and Noida centres, while most Hisar learners choose online study.
FormatBest forConsiderations
Live OnlineHisar learners, working professionals, studentsNo commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects
Offline (Delhi/Noida)Learners who can travel to NCRIn-person doubt clearing, classroom environment, but requires commute or relocation
HybridLearners splitting time between Hisar and NCROccasional classroom sessions plus live online
Every format provides live instructor interaction, recordings for revision, doubt-clearing help and the same career support. Where a format change is allowed, switching midway does not remove any part of the program.

Is this course right for you?+

If you want...Course format / suitability
Learn Data Science from basicsSuitable
Build Python + ML skillsSuitable
Learn Gen AISuitable
Work on guided projectsSuitable
Attend live classes from HisarLive Online
Attend physical classroom trainingDelhi/Noida centres
Switch career into Data ScienceRequires consistent practice
Guaranteed employmentNot guaranteed

Frequently Asked Questions

1. What is the duration of the Data Science course in Hisar?

The program runs for 8–9 months and provides 150+ hours of learning through over 90 live sessions. Hisar learners can select weekday or weekend live online batches.

2. Can I learn data science without a coding background?

Yes. You can start without earlier programming experience. Python and SQL begin with the basics, while the first month introduces Python fundamentals and Excel without assuming conventional coding knowledge.

3. What tools are covered in this course?

15+ tools including Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.

4. Does the course include a Gen AI module?

Yes. Module 9 is a 10-hour unit on Generative AI, LLMs and prompt engineering, including AI-assisted coding, model evaluation, RAG fundamentals and ways to check AI output.

5. How many projects will I complete?

You complete five guided projects across retail, banking, HR, e-commerce and healthcare, plus one capstone project chosen by you. The finished work can be arranged into a portfolio for interviews.

6. Are the classes live or pre-recorded?

All 90+ sessions are delivered live by instructors, with recordings available afterward for revision. Online and classroom learners use the same syllabus.

7. What is the fee for the Data Science course in Hisar?

The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.

8. Are EMI options available?

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.

9. Is there a demo class before I enrol?

Yes. A free live online demo lets you see the teaching style, meet the trainer and review the curriculum before enrolling. Contact us to schedule a demo.

10. Do you provide placement assistance?

Dedicated career and placement support covers resume preparation, LinkedIn optimisation, portfolio feedback, interview preparation, mock interviews and opportunities shared through our network of 850+ companies. Employers make the final hiring decisions, so employment is not guaranteed.

11. Can a fresher get a data scientist job after this course?

Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in Hisar are indicatively ₹4–8 LPA.

12. What is the salary of a data scientist in Hisar?

Indicative ranges for Hisar are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. Uncodemy does not guarantee any specific salary outcome.

13. What job roles can I apply for after this course?

Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.

14. Who is eligible for this Data Science course?

Graduates from every discipline may enrol, and previous coding or analytics experience is not necessary. Final-year students, working professionals and career changers are welcome.

15. Are the salary, placement and review figures on this page guaranteed?

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.

16. Is classroom training available in Hisar?

Hisar has no physical centre. Hisar learners can join live online batches with the same syllabus, trainers and projects as classroom training. Delhi and Noida are the nearest classroom centres for learners travelling to Delhi NCR, though most Hisar learners prefer online study.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

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.

Open now
Noida Centre
B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Delhi Centre
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Free demo class Walk-ins welcome
📍 Nearest classroom centres: Noida & Delhi — Open Noida in Google Maps | Open Delhi in Google Maps