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🔥 Most Popular in Vadodara

Data Science Training Course in Vadodara With Gen AI by Uncodemy

Uncodemy's Data Science with Generative AI program for Vadodara learners is an eight-to-nine-month instructor-led course that builds practical command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Vadodara learners attend live online classes, with classroom access available at our Delhi and Noida centres for anyone who travels to Delhi NCR. The program includes hands-on projects, session recordings and full career support. The current fee is ₹21,500 + GST, with total payable at ₹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 Gen AI — Training & Placement Program Practical, hands-on learning built around real Data Science work and interview preparation.
A structured 8–9 month instructor-led program that covers Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau and Gen AI through live sessions, guided projects, mentoring and dedicated 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 Vadodara — 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 (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 program build working proficiency in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing the training and career preparation, eligible candidates typically apply for roles such as Data Scientist, Data Analyst or Machine Learning Engineer.

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
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
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
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
Student Image
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
Student Image
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 is the discipline of turning raw data into actionable insight and accurate predictions by applying statistics, programming and domain knowledge together. The work spans gathering and cleaning data, building and evaluating models, and communicating findings so that decisions get made. Companies rely on it to decode customer behaviour, forecast demand, catch fraud early, drive personalised recommendations and replace manual decisions with data-driven ones.

What does a data scientist do? A data scientist pulls data from databases and business systems, cleans and explores it, trains and evaluates machine learning models, and converts the findings into business recommendations. A typical week is spent writing Python and SQL, tuning models, reviewing metrics with stakeholders, and keeping a deployed model healthy in production.

Data Analytics vs Data Science vs Business Analytics

Data analytics answers what already happened and why. Data science predicts what will happen next. Business analytics focuses on the decision the business should take.

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 Vadodara learners spans 8–9 months, includes 90+ live sessions and 150+ hours of learning, and is structured into eleven progressive modules — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps — with an entire module dedicated to how AI tools fit into day-to-day data science work. Every module includes practical exercises on real datasets, and the program closes with capstone projects that form your portfolio. Vadodara learners attend live online sessions — a format that suits working professionals across Alkapuri, Gotri, Waghodia Road, Manjalpur, Karelibaug, Makarpura GIDC and the wider central Gujarat region, as well as anyone preparing for analytics roles in Vadodara, Ahmedabad, Mumbai or Pune — and can attend classroom sessions at our Delhi and Noida centres if they travel to Delhi NCR.

Who should join this course:

  • Vadodara and central Gujarat learners who want live online classes paired with a structured career path into analytics.
  • Fresh graduates from any stream — B.Com, BBA, B.Sc, B.Tech, BA, BCA — looking for a first entry into data science or analytics.
  • Working professionals in pharma, petrochemicals, power and electrical equipment, engineering, chemicals, BFSI or education who already handle data and want to formalise the skill.
  • Career changers moving from non-technical roles into a data role, including those working in Makarpura, Gorwa, Nandesari and Savli GIDC industrial belts.
  • MIS and reporting executives who want to move up from Excel into Python, SQL, ML and BI tooling.

Eligibility: A graduate degree in any discipline. No prior programming experience is required — Python and SQL are taught starting from the very first line of code. Basic mathematics comfort helps but is not essential; the statistics module builds it from the ground up. A laptop with 8GB RAM and a stable internet connection is recommended for practical sessions.

Upcoming Data Analytics Course Batches in vadodara

Choose a batch timing that fits your schedule. Book a free demo class first-hand, or join our upcoming weekend and weekday live batches — designed for both working professionals and students, with flexible timings and hands-on training

Weekdays

Date Time Trainer Seats Left
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
19Oct 07:30 PM – 08:30 PM Mr. Upendra Kumar tiwari 02Seat

Weekends

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

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

Curriculums for Data Science Training Courses In Vadodara

Data Science Course Syllabus in Vadodara

The syllabus is split across eleven modules and totals more than 150 hours of learning, ordered the way data scientists actually work — acquire the data, clean it, analyse it, build models, deploy them and report the outcome. Every module closes with a graded practical assignment on a real dataset, and the final module pulls everything together into portfolio-ready capstones.

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 155+ 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 Vadodara

Once all eleven modules, the assignments and the capstone project are complete, you receive the Uncodemy Data Science Program Certificate. The certificate records the program name, duration, tools covered, completion date and a verification reference. Certification is issued only after the required coursework and assessment are completed, serving as a formal record of your successful completion of the Uncodemy Data Science program.

The certificate is issued alongside the practical work completed during the program. Learners work on assignments and projects using every Data Science tool taught in the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project is the final opportunity to apply everything covered during the training.

Key Benefits of Our Data Science Certification:

  • Program Completion :Acts as a formal record of successfully finishing the Data Science program.
  • Online Verification :Each certificate carries a verification reference that can be checked online at any time.
  • Practical Learning :The training includes assignments, guided projects and a capstone project built on real Data Science tools.

The Data Science course in Vadodara from Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be verified 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 refined into a data science portfolio an interview panel will find credible.

Resume & LinkedIn:Your resume is rebuilt around the keywords and measurable outcomes that matter to recruiters, and your LinkedIn profile is aligned to match.

Interview preparation:Focused Python and SQL problem sets, ML case studies and behavioural 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, along 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

Live online sessions for Vadodara learners are taught by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years of experience spanning Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off on the curriculum published on this page.

Uncodemy deliberately separates two roles that most institutes lump together. Trainers run the live sessions. Domain reviewers — specialists who do not teach the batch — independently verify that the curriculum is technically accurate and up to date. For this program, the technical content is reviewed by Upendra Kumar Tiwari. That means the person teaching the course is not the only person checking whether its content is correct.

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

Enroll in Our Data Science Training in Vadodara Today!

Join Uncodemy's Data Science Training for Vadodara learners today. Build practical, job-ready Data Science skills through instructor-led sessions, real projects, graded assignments and structured career preparation.

Data Scientist Jobs and Career Scope in Vadodara+

Vadodara — historically known as Baroda — is one of Gujarat's most industrialised cities and a key node on the Delhi–Mumbai Industrial Corridor. It carries a dense manufacturing base across Makarpura GIDC, Gorwa, Nandesari, Savli and Waghodia industrial belts, with especially strong clusters in pharmaceuticals and life sciences (Alembic, Sun Pharma, Zydus, Sarabhai, Concord Biotech), petrochemicals and oil & gas (the Koyali refinery and the broader Vadodara–Ankleshwar–Bharuch chemical corridor), power and electrical equipment (ABB, Schneider Electric, Siemens, L&T), engineering and auto-components, plus fertilisers and chemicals (GSFC). The city is also home to Maharaja Sayajirao University (MSU), a large education and healthcare ecosystem, and a growing IT and IT-enabled services sector. Sitting between Ahmedabad (~110 km) and Mumbai (~400 km) on the expressway, Vadodara gives learners direct access to two of India's largest job markets. Local employers hire analysts and data scientists for manufacturing quality analytics, pharma R&D and regulatory analytics, supply-chain and demand forecasting, energy and process analytics, BFSI back-offices and IT-services reporting. Employers consistently look for working Python, SQL and at least one ML project — and this program is designed to deliver that portfolio.

Job Roles After This Course+

The roles this program maps to include Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. These roles overlap heavily in their underlying skill set — Python for data manipulation and modelling, SQL for pulling and shaping data, and a BI tool for dashboards that stakeholders can self-serve from — but they differ in who you report to and what decisions your output feeds into.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow
Machine Learning Engineer Python, TensorFlow, MLflow, Cloud
Data Analyst SQL, Excel, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer Python, SQL, ETL, Cloud
AI/ML Research Associate Python, PyTorch, NLP
Most graduates start as a Data Analyst or Junior Data Scientist and move into the others within two to four years, as they build domain knowledge in a specific function such as manufacturing, pharma, energy, supply chain or finance. For Vadodara learners, Data Analyst and Business Intelligence roles are often the easiest to enter locally — pharma plants, chemical and petrochemical firms, power-equipment companies and engineering units in Makarpura, Gorwa, Nandesari and Savli GIDC hire analysts for quality, production and supply-chain reporting. Remote roles and roles in Ahmedabad, Mumbai, Pune or Bengaluru are also common paths.

Data Scientist Salary in Vadodara — Experience-wise+

Salaries for Vadodara-based data roles depend heavily on whether you work locally, remotely, or after relocating to Ahmedabad, Mumbai or Pune. Local pharma, petrochemical, power and engineering employers typically pay in the middle of national ranges — lower than the Mumbai, Pune, Ahmedabad or Bengaluru metros, but offset by a lower cost of living. Because Vadodara sits on the Delhi–Mumbai Industrial Corridor and many employers are large multinationals with standardised pay bands, some roles (especially in pharma and power equipment) pay closer to metro rates than a typical tier-2 city. Remote roles for companies in Ahmedabad, Mumbai, Pune, Bengaluru or international clients usually pay close to metro levels for the same skill set. A candidate who can only build dashboards typically sits at the lower end of a band; one who can also build and deploy ML models, write efficient SQL and present a clear recommendation tends to move to the top of the same band — and progress out of it faster.
Career Level / Role Indicative 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. For Vadodara specifically, pharma, petrochemical, power-equipment and engineering roles tend toward the middle or upper-middle of each band, and remote or Ahmedabad, Mumbai, Pune and Bengaluru roles typically pay closer to the top. Salary ranges are indicative and may vary based on role, skills, experience, location, employer and market conditions. Uncodemy does not guarantee any specific salary or employment outcome.

Top Hiring Sectors for Data Scientists in Vadodara+

Uncodemy works with 850+ companies in our hiring network across India, covering 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 Vadodara and the wider central Gujarat region, data science demand is strongest in:
  • Pharma, life sciences and healthcare— quality, R&D, regulatory, batch and supply-chain analytics across pharma and life-sciences companies operating from Vadodara's industrial belts and the wider Gujarat pharma corridor
  • Petrochemicals, oil & gas and chemicals— process, energy, quality and supply-chain analytics across the Vadodara–Ankleshwar–Bharuch chemical corridor and the Koyali refinery ecosystem
  • Power, electrical equipment and engineering— production, quality, warranty and after-sales analytics across power-equipment, electrical and heavy-engineering firms with large operations in Vadodara
  • IT services, IT-enabled services and BFSI back-offices— a growing base of IT firms, GCCs and BFSI operations across Vadodara and the wider Gujarat region, hiring for reporting, BI and analytics roles
  • Education, BFSI and remote roles for Ahmedabad/Mumbai/Pune firms— universities, edtech, banks and NBFCs hire analysts for reporting and operations; Ahmedabad, Mumbai, Pune and Bengaluru companies hire remote-first analysts and data scientists, which is a common high-paying path for Vadodara learners
Each of these sectors weights 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, especially when employers expect practical skills, problem-solving ability, and real-world experience.
  • Build Python depth— data types, loops, functions, Pandas and NumPy, since Python is the working language of almost every data science role.
  • Learn SQLto a working standard — joins, aggregations, subqueries and window functions, because almost every role starts with pulling and shaping data from a database.
  • Learn statistics— enough to run a hypothesis test and read a regression output, so your conclusions hold up when someone questions them.
  • Master machine learning— regression, classification, clustering and model evaluation, using Scikit-learn on real datasets.
  • Add deep learning— neural networks, CNNs and RNNs, using TensorFlow or Keras, to handle image, text and sequence data.
  • Build three to five portfolio projects, each with a business question and a model or recommendation, ideally drawn from a sector you want to work in.
  • Prepare and apply— 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 study to reach interview-ready standard, assuming a few focused hours most days rather than occasional binge sessions.

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

Vadodara has a moderate number of local data science training options, and they vary widely in depth and price. 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, ML 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 or online-only courses cost less. If your goal is a quick Excel and Power BI refresher rather than a full career transition, a shorter program may suit you better, 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. Live Online is the format that suits Vadodara learners best — you join live sessions from home after work, fit classes around a job, and don't need to travel. This is what almost every Vadodara learner chooses, and it works well for working professionals across Alkapuri, Gotri, Waghodia Road, Manjalpur, Karelibaug, Makarpura GIDC and the wider central Gujarat region. Classroom at our Delhi and Noida centres suits learners who travel to Delhi NCR regularly or are relocating there — but Vadodara is roughly 950 km from Delhi NCR, so this is only practical for learners with a specific reason to be in NCR. Hybrid (occasional in-person sessions at Delhi/Noida plus live online) suits learners who split their time between Gujarat and Delhi NCR. 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
Only Excel + Power BI basics A shorter course may be sufficient
Full data science career transition This program
Analytics role in Vadodara's pharma/petrochemical/power sector This program
Remote or Ahmedabad/Mumbai/Pune analytics role This program
Business-focused analytics Consider Business Analytics
Self-paced learning Recorded course

Frequently Asked Questions

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

The Data Science with Gen AI program at Uncodemy runs for 8 to 9 months and covers 150+ hours of learning spread across 90+ live instructor-led sessions. Both weekday and weekend batches are available in live online mode for Vadodara learners.

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

Yes, absolutely. No prior programming experience is needed for this course. Python and SQL start from the very basics, and the opening month covers Python fundamentals along with Excel, which requires no traditional coding background.

3. What tools are covered in this course?▼

The program covers 15+ tools including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow

4. Does the course include a Gen AI module?▼

Yes. Module 9 is entirely dedicated to Generative AI, LLMs and prompt engineering, spanning 10 hours and covering AI-assisted coding, model evaluation, RAG fundamentals and the correct way to verify AI-generated output.

5. How many projects will I complete?▼

You will complete five guided projects spanning retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your own choosing. Every project feeds into a portfolio you can present during interviews.

6. Are the classes live or pre-recorded?▼

All 90+ sessions are conducted live and instructor-led. Recordings are shared after each session for revision. Live online and classroom batches cover the exact same syllabus and projects.

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

The program fee is ₹21,500 plus 18% GST, making the total payable amount ₹25,370. This covers all live sessions, study materials, projects, certification and career support with no hidden charges. EMI starts from ₹4,622/month over 6 months.

8. Are EMI options available?▼

Yes, EMI starts from ₹4,622 per month for a 6-month plan. The exact amount, tenure and eligibility depend on the payment or financing option you choose — a counsellor will confirm your final plan.

9. Is there a demo class before I enrol?▼

Yes. You can attend a free live online demo session to experience the teaching style, meet the trainer and review the curriculum before making a decision. Contact the team to book a demo slot.

10. Do you provide placement assistance?▼

Yes, Uncodemy provides dedicated career and placement assistance including resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through a network of 850+ companies. We do not guarantee employment — 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 look for working Python and SQL skills, one ML project and a portfolio — this program is built to deliver all three. Indicative entry-level Data Scientist salaries in Vadodara and the wider Gujarat market are ₹4–8 LPA.

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

Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local Vadodara salaries typically sit in the middle of these bands for pharma, petrochemical, power-equipment and engineering firms, while Ahmedabad, Pune, Mumbai and Bengaluru roles usually pay closer to the top. Uncodemy does not guarantee any specific salary outcome.

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

You can apply for Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate roles. Most graduates begin as a Data Analyst or Junior Data Scientist and grow into the others.

14. Who is eligible for this Data Science course?▼

Any graduate from any discipline can enrol. No prior coding or analytics experience is required. Final-year students, working professionals and career changers are all welcome.

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

All statistics are drawn from Uncodemy's internal records and publicly available review-platform information. Review counts and ratings may change over time. Placement and salary outcomes depend on the 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 Vadodara?▼

There is no physical Uncodemy centre in Vadodara. Vadodara learners join our live online batches, which carry the identical syllabus, trainers and projects as classroom. The nearest classroom centres are our Delhi and Noida centres, which you can attend if you travel to Delhi NCR — most Vadodara learners prefer live online.

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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Vadodara learners join our live online batches, which carry the identical syllabus, trainers and projects as classroom. If you prefer in-person learning or are relocating to Delhi NCR, the nearest classroom centres are our Delhi and Noida centres — you can attend classroom sessions there. Vadodara is roughly 950 km from Delhi NCR, so for almost all Vadodara-based learners, live online is the practical choice — it removes long-distance travel and lets you learn from the same trainers and curriculum from home.

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Delhi Centre (nearest — for travel)
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, Near Noida Sector-15 Metro Station, Uttar Pradesh 201301
Free demo classWalk-ins welcomeWheelchair accessible
📍 Delhi (Head Office) — Open in Google Maps
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