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🔥 Most Popular in Kolhapur

Data Science Training Course in Kolhapur With Gen AI by Uncodemy

Uncodemy’s Kolhapur offering is an 8–9 month instructor-led course in Data Science with Generative AI. It teaches Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI through live online classes. Practical projects, recordings, and career support are included. The course fee is ₹21,500 plus 18% GST, making the total ₹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 from 8+ years experienced professionals

Live Projects

Work on real-time projects & case studies

Lifetime Access

Get lifetime access to recorded sessions & materials

Dedicated Career & Placement Assistance

Resume Building, Mock Interviews & Job Support

Certified Course

Certificate of Completion from Uncodemy

Flexible Batches

Weekday & Weekend Online & Offline

Why Choose
Uncodemy?

14+
Years of Training Excellence
850+
Companies in Our 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 with AI — Training & Placement Program A practical, career-focused program for developing Data Science capability and preparing for interviews.
The program includes 8–9 months of instructor-led learning in Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI with practical projects, mentor guidance, 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 Kolhapur — 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
🌐 Mode:
Live Online for Kolhapur learners
🏢 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 the Uncodemy Data Science training gain practical ability in Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI. After completing training and career preparation, eligible candidates may pursue roles such as Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer, and AI/ML Research Associate.

Kolhapur placement information is refreshed regularly. Verified learner outcomes are available at uncodemy.com/placement

ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Analytics Batch
Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

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

Rajat Kashyap

Data Analyst

Placed at:Hexalog

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Sagar
3.25 LPA
Pune

Sagar B. Shembade

Data Analyst

Placed at:SmartStudy

Data Analytics Batch
Batch: DA/WD/S 08:00 PM 08 JAN-UC
Read placement record
ankit singh
4.8 LPA
Hyderabad

Ankit Singh

Data Analyst

Placed at:FINELABS

Data Analytics Batch
Batch: DA/09/0823/S WD 7PM
Read placement record
ashish-butola
4.8 LPA
India

Ashish Butola

Data Analyst

Placed at:Allsoft Solutions

Data Analytics Batch
Batch: DS/12/0823/IR WE 12 PM
Read placement record
Student Image
3.0 LPA
Noida

Priyanka Kumari

Data Analyst

Placed at:CloudFirst Digital

Data Analytics Batch
Batch: DS/DA Weekend July Batch 10 AM
Read placement record
Student Image
3.0 LPA
Delhi

Shruti Saxena

Data Analyst

Placed at:Jepius Healthcare

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

What is Data Science?

Data Science combines statistical methods, programming, mathematics, and domain expertise to turn structured and unstructured data into useful understanding. It helps discover patterns, create predictive models, and support evidence-based decisions. Healthcare, finance, retail, manufacturing, and technology organisations use it to improve products, operations, and customer insight.

What does a data scientist do? A data scientist brings data together from multiple sources, cleans and organises it, develops and evaluates machine learning models, and communicates conclusions to stakeholders. The role requires Python, SQL, statistics, and machine learning skills, plus the ability to turn technical analysis into clear business guidance. Data preparation and exploration usually happen before model building.

Data Analytics vs Data Science vs Business Analytics

Data analytics explains past events, data science forecasts potential future events, and business analytics uses the findings to guide business processes and 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.

Course Overview

The Kolhapur course runs for 8–9 months and provides 90+ live sessions with more than 150 hours of learning. Across 11 modules, learners study Python, SQL, statistics, data cleaning, machine learning, deep learning, NLP, Power BI/Tableau, Gen AI, MLOps, and capstone projects. Real-dataset practice is included throughout, and the final capstone can become part of a portfolio. Classes are live online, with recordings available for revision.

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.
  • Working professionals in operations, sales, finance, HR or marketing who want to upskill into data science.
  • Career changers moving from non-technical roles into a data role.
  • MIS and reporting executives who want to move up from Excel into SQL, Python and ML.
  • Kolhapur-based learners who want structured Data Science training through live online classes.

Eligibility: Graduates from any discipline are eligible. No earlier programming experience is necessary because Python and SQL are introduced from the beginning. Basic mathematics may help but is not required; the statistics module develops the foundation. A laptop with 8GB RAM and reliable internet is recommended for practical sessions.

Upcoming Data Science Course Batches in Kolhapur

Choose a batch schedule that works for you and attend a free demo before joining. Weekday and weekend live classes are available for students and working professionals, with flexible timing and practical learning.

Weekdays

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

Weekends

Date Time Trainer Seats Left
27Sept 03:00 PM – 05:00 PM Mr. Kunal Arora 02Seats

Seats are limited and updated daily. All timings are in IST.

Curriculums for Data Science Training Courses In Kolhapur

Data Science Course Syllabus in Kolhapur

The Kolhapur syllabus has 11 modules and more than 150 hours of learning, arranged around a practical Data Science workflow: collect the data, clean it, study it, model it, interpret it, visualise it, and communicate the result. Each module includes a graded assignment on a real dataset, and the final module turns the combined learning into portfolio projects.

Module 1: Python for Data Science — ~20 hrs

  • 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 hrs

  • 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 hrs

  • 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 hrs

  • 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 hrs

  • Supervised learning: linear regression, logistic regression, decision trees, random forests
  • Unsupervised learning: k-means clustering, hierarchical clustering, PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC
  • Cross-validation and hyperparameter tuning
  • Feature engineering and selection
  • Ensemble methods: bagging, boosting, XGBoost

Module 6: Deep Learning & Neural Networks — ~15 hrs

  • Neural network fundamentals: perceptrons, activation functions
  • Backpropagation and gradient descent
  • TensorFlow and Keras for building models
  • Convolutional Neural Networks (CNNs) for image data
  • Recurrent Neural Networks (RNNs) for sequential data
  • Regularization: dropout, batch normalization

Module 7: Natural Language Processing (NLP) — ~10 hrs

  • Text preprocessing: tokenization, stemming, lemmatization
  • Bag of Words, TF-IDF and word embeddings
  • Sentiment analysis and text classification
  • Named Entity Recognition (NER)
  • Introduction to transformer models
  • NLP applications in business

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

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Tableau architecture, data connection and blending
  • Visual types, filters, slicers, bookmarks and drill-through
  • Publishing dashboards and scheduling refresh

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

  • Introduction to Large Language Models (LLMs)
  • 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

Module 10: MLOps & Model Deployment — ~8 hrs

  • Introduction to MLOps and the ML lifecycle
  • Model versioning and experiment tracking with MLflow
  • Building ML pipelines
  • Model deployment: Flask, FastAPI, cloud services
  • Monitoring model performance in production
  • CI/CD for machine learning

Module 11: Capstone Projects & Career Preparation — ~10+ hrs

  • 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, Jupyter
2 SQL & Database Management 15 MySQL, PostgreSQL
3 Statistics & Probability 15 Excel, Python
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning 25 Scikit-learn, XGBoost
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing 10 NLTK, spaCy
8 Power BI & Tableau 15 Power BI Desktop, Tableau Public
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 MLflow, Flask
11 Capstone Projects & Career Preparation 10+ All tools
Total 150+ Hours 15+ tools

Contacted by

UK

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 Kolhapur

After completing the 11 modules, required assignments, and capstone project, learners receive the Uncodemy Data Science Program Certificate. It records the program name, duration, technologies covered, completion date, and verification reference. The certificate is issued after the required coursework and assessment are completed.

The certificate is supported by the practical work produced during the course. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI in assignments and projects, while the capstone demonstrates the combined concepts.

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.

Kolhapur learners who complete Uncodemy’s Data Science course receive a verified Program Certificate. Its details can be checked online through the official Uncodemy Certificate Portal.

Uncodemy Certificate VerificationOnline Certificate Verification & Downloadcertificate.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 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:SQL problem sets, Python coding tasks, 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 separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.

Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.

Enroll in Our Data Science Training in Kolhapur Today!

Enroll in Uncodemy's Data Science Training for Kolhapur learners today! Develop practical Data Science skills through live online instructor-led training, hands-on projects, Gen AI exposure and dedicated career preparation. Start learning Data Science through structured live online classes designed for Kolhapur learners.

Data Scientist Jobs and Career Scope in Kolhapur+

Kolhapur — a historic city in south-western Maharashtra, known for its foundry and engineering industry, Kolhapuri chappals, sugar belt and pilgrimage tourism — has become a growing market for data-driven roles. The city's traditional strengths in foundries and castings, engineering, textiles, sugar and jaggery processing, dairy, education and pilgrimage tourism are increasingly intersecting with analytics and AI, creating demand for data professionals in areas like manufacturing analytics, agri-supply-chain optimisation, dairy analytics, retail analytics and public-sector data work.

The IT and software services sector accessible to Kolhapur learners — via Pune's major IT corridor (Hinjewadi, Magarpatta, Kharadi, Baner) and Mumbai's IT/ITeS ecosystem — includes established firms, GCCs and a growing startup base, all of which need data professionals who can work with Python, SQL and machine learning frameworks. BFSI — banking, insurance, NBFCs and cooperative banks — hires for credit risk, fraud detection, customer segmentation and regulatory reporting. Manufacturing in Kolhapur's foundry and engineering clusters uses predictive analytics for quality control, demand forecasting, preventive maintenance and supply-chain optimisation. Sugar factories, dairy cooperatives and food processing units — a major part of the Kolhapur and western Maharashtra economy — hire data scientists for crop-yield forecasting, cold-chain analytics, quality control and pricing models.

Education, healthcare, tourism, retail and logistics firms also hire data scientists, often for roles that blend analytics with business strategy. For Kolhapur-based learners, the advantage is that many of these roles can be pursued remotely or through companies with distributed teams, and the Pune and Mumbai job markets are accessible by rail and road — meaning the opportunity set is far larger than the local area alone. Building a strong portfolio with real projects and demonstrating practical skills in SQL, Python and at least one ML framework is what typically separates candidates in interviews.

Job Roles After This Course+

After completing the Data Science training program, learners can apply for a range of roles that require skills in Python, SQL, machine learning, statistics and data visualisation. The specific role you target will depend on your prior experience, domain interest and the depth of your project portfolio. Most graduates begin in analyst or junior data scientist positions and progress into more specialised roles with experience.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow
ML Engineer Python, TensorFlow, MLflow, Docker
Data Analyst SQL, Excel, Power BI, Python
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer SQL, Python, ETL tools, Cloud platforms
AI/ML Research Associate Python, PyTorch, TensorFlow, NLP libraries
The transition from one role to another usually happens after you have worked on end-to-end projects and developed domain knowledge in a specific industry or function. Employers hiring for data science roles typically expect evidence of practical work — a portfolio of projects, familiarity with real datasets, and the ability to explain your approach clearly.

Data Scientist Salary in Kolhapur — Experience-wise+

Salaries for data science roles vary significantly based on experience level, sector, company size and the specific skills you bring. The figures below are indicative and labelled as Noida-Delhi NCR realistic expectations; they should not be interpreted as verified Kolhapur salary data.
Level 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
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 Kolhapur+

Uncodemy works with 850+ companies in our hiring network across India, spanning large enterprises, mid-size firms and fast-growing startups, which gives learners exposure to more than one kind of hiring process and interview style. In Kolhapur and the surrounding western Maharashtra belt, data science demand is strongest in:
  • Foundry, engineering and manufacturing— Kolhapur is one of India's largest foundry and castings hubs, along with auto components and light engineering; these sectors use data science for quality control, predictive maintenance, demand forecasting and supply-chain optimisation.
  • Sugar, dairy and food processing— the Kolhapur sugar belt and dairy cooperatives are central to the region's economy; agri-businesses hire data scientists for crop-yield forecasting, cold-chain analytics, quality control and pricing models.
  • IT and IT-enabled services (Pune/Mumbai corridor)— Kolhapur's proximity to Pune and Mumbai gives learners access to those IT/ITeS ecosystems, where firms hire data scientists and ML engineers for client projects, product development and analytics delivery.
  • BFSI and cooperative banking— banks, NBFCs, insurance firms and Maharashtra's strong cooperative banking network hire for credit risk, fraud detection, customer segmentation and rural-lending analytics.
  • Education, healthcare, retail and tourism— Kolhapur is an education and pilgrimage hub for the region; colleges, hospitals, retail chains and hospitality businesses hire for learning analytics, clinical data analysis, demand forecasting and customer behaviour analysis.
Each of these sectors tends to weight skills slightly differently, so as you get closer to placement, it helps to tailor your portfolio projects toward the one or two sectors you're most interested in.

How to Become a Data Scientist — Step by Step+

Becoming a data scientist is a step-by-step skill build, not a single course, and skipping steps usually shows up later as gaps in interviews or on the job.
  1. Learn Python— Start with Python fundamentals: variables, data types, loops, functions, and then move to libraries like NumPy and Pandas for data manipulation. Python is the primary language for data science and the foundation for everything that follows.
  2. Build statistics foundations— Descriptive statistics, probability, hypothesis testing and regression are essential. You need enough statistics to run a hypothesis test, interpret a p-value and read a regression output so your conclusions hold up when questioned.
  3. Learn SQL— Almost every data science role starts with pulling and shaping data from a database. Learn joins, aggregations, subqueries and window functions to a working standard.
  4. Master machine learning— Supervised and unsupervised learning algorithms, model evaluation metrics, cross-validation and hyperparameter tuning. This is where you learn to build predictive models.
  5. Add deep learning— Neural networks, CNNs, RNNs and frameworks like TensorFlow and Keras. Deep learning is essential for image, text and sequential data problems.
  6. Build portfolio projects— Three to five projects with a business question, a clear approach and a recommendation. Ideally, these draw from a sector you want to work in. A capstone project that demonstrates end-to-end skills is particularly valuable.
  7. Prepare and apply— SQL practice, case-study rehearsal, a targeted resume and LinkedIn profile that highlights outcomes, not just tools. Mock interviews help you get comfortable explaining your work.
Typical timeline: 8–9 months of consistent study to reach interview-ready standard, assuming a few focused hours most days.

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

Kolhapur and the surrounding region offer a range of data science training options at very different price points, ranging from short weekend workshops to multi-month bootcamps. Here is an honest comparison, so you can judge the fit yourself rather than relying on marketing claims alone.
Factor This Program
Duration 8–9 months
Learning hours 150+ hours
Tools covered 15+ tools
Gen AI module Dedicated 10-hour module
Projects 5 guided + 1 capstone
Career support Resume, LinkedIn, mock interviews, hiring network
The extra duration and tool coverage exist because most hiring managers today expect candidates who are comfortable moving between Python, SQL, statistics, ML frameworks and a BI tool depending on the task, rather than being strong in only one.

Where we are not the cheapest option: Shorter self-paced courses cost less. Uncodemy may not be the cheapest option if your goal is a quick refresher rather than a full career transition. If you want to test the waters with a short course before committing to a longer program, that is a reasonable path, and it's worth being honest with yourself about which of the two you actually need.

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

All three formats cover the identical syllabus, trainers and projects — the fee is the same, so the choice comes down to your own schedule and learning preference rather than content quality.

Online (Live Online): For Kolhapur learners, live online is the primary mode of training. You join live sessions from home, interact with trainers and batchmates, and can revisit recordings for revision. This suits working professionals and those who cannot relocate or commute to a classroom. Offline classroom is available at our Delhi and Noida centres; Kolhapur learners typically join live online.

Offline (Classroom): Classroom training is available at Uncodemy's Delhi and Noida centres. This format suits learners who want in-person doubt clearing, peer interaction and a fixed schedule that helps them stay consistent. If you are based in or can travel to Delhi or Noida, classroom training is an option.

Hybrid: Hybrid suits learners who want flexibility with occasional in-person sessions. This format may be useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. Availability may vary by batch.

All formats include live instructor interaction, recorded sessions for revision, doubt-clearing support, and the same career support, so switching formats midway (where allowed) does not mean losing any part of the program.

Is this course right for you?+

If you want... Recommend
Structured Data Science learning Yes
Live instructor-led classes Yes
Practical projects Yes
Gen AI exposure Yes
Kolhapur classroom training No — live online is the available option
Delhi/Noida classroom training Yes

Frequently Asked Questions

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

The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available for Kolhapur learners through live online classes.

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

Yes. No prior programming experience is required. Python and SQL are taught from the beginning, and the early modules focus on fundamentals that need no prior coding experience.

3. What tools are covered in this course?

15+ tools including Python, SQL, Statistics, 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 dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted SQL and Python, Copilot in Excel and Power BI, and verifying AI output.

5. How many projects will I complete?

Five guided projects across domains like retail, banking, healthcare and NLP, plus one capstone project of your own choosing. All projects go into a portfolio you can show in interviews.

6. Are the classes live or pre-recorded?

All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online is the available format for Kolhapur learners.

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

The program fee is ₹21,500 plus 18% GST, total ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges.

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. You can attend a demo session to see the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a demo.

10. Do you provide placement assistance?

We provide dedicated career and placement assistance — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through our network of 850+ companies. We do not guarantee employment, as hiring decisions rest with employers.

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 and a portfolio — this program is built to deliver all three. Entry-level salaries are indicatively ₹4–8 LPA.

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

Indicative ranges for data science roles vary by experience. Freshers can expect ₹4–8 LPA, mid-level professionals ₹8–15 LPA, and senior data scientists ₹15–25+ LPA. 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, ML 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?

Any graduate from any discipline can enrol. No prior coding or data science experience is needed. Final-year students, working professionals and career changers are all 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 Kolhapur?

Classroom training is not currently available in Kolhapur. Kolhapur learners can join Uncodemy's live online Data Science classes, while offline classroom training is available at the Delhi and Noida centres. Delhi Centre: 2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092. Noida Centre: B, 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301. Phone: +91 9818366550 / +91 8766313646.

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Nearest Classroom Training Centres

Kolhapur learners can join Uncodemy's live online Data Science classes, which deliver the same curriculum, trainers and projects as classroom training. For learners who prefer in-person classes or are based in or near Delhi-NCR, classroom training is available at Uncodemy's Delhi and Noida centres.

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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 classWalk-ins welcomeWheelchair accessible
📍 Delhi (Head Office) — Open in Google Maps