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🔥 Most Popular in Ahmedabad

Data Science Training Course in Ahmedabad With Gen AI by Uncodemy

Uncodemy presents a live, instructor-led Data Science with Generative AI course for Ahmedabad learners, spanning 8–9 months. It covers Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI, Tableau, and Gen AI. The training is conducted online for Ahmedabad students, along with access to classroom sessions at our Delhi and Noida centres. The current fee is ₹21,500 plus 18% GST, making the total ₹25,370.

⚡ LIMITED TIME OFFER

Special Offer: Data Science with AI

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₹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 experience 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 course with AI integration — Training & Placement Program Practical, career-focused learning designed to build strong Data Science skills and interview readiness.
This is a well-structured 8–9 month instructor-led training program that covers Python, SQL, Statistics, Machine Learning, Deep Learning, Power BI/Tableau, and Gen AI through guided projects, mentoring, and career assistance.
📚 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 (for 6 months)
🚀 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 Ahmedabad — 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 Ahmedabad; Offline/Hybrid 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

Those who finish the Uncodemy Data Science program gain practical skills in Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. Upon completing the course and career prep modules, eligible candidates may pursue roles like Data Scientist, ML Engineer, Data Analyst, and Business Intelligence Analyst. Placement results for Ahmedabad learners are refreshed frequently and 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
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 blends statistics, programming, and domain expertise to convert raw data into valuable insights and predictive models. The process involves collecting data, cleaning it, exploring it, building models, and deploying them in real-world situations where organisations need to forecast, evaluate risk, personalise offerings, or automate decisions at scale.

What does a data scientist do? A data scientist handles data from business systems and databases, cleans and prepares it, spots patterns, builds and tests machine learning models, and then communicates findings to teams like product, marketing, risk, or engineering. A typical week might include writing SQL queries, working in Python notebooks, assessing model performance, and presenting results clearly and practically.

Data Analytics vs Data Science vs Business Analytics

Data analytics examines what has already occurred, data science forecasts what is likely to happen next, and business analytics centres on what the organisation should do in response.

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 figures are approximate and can differ based on the role, experience level, skill set, location, and employer.

Course Overview

The Data Science course for Ahmedabad learners runs for 8–9 months, features 90+ live sessions, and offers 150+ hours of teaching. It comprises eleven modules that move from basics to advanced topics — Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a final capstone. Every module has hands-on tasks using real datasets, and the course ends with guided projects and a capstone suitable for a portfolio. Ahmedabad learners attend live online classes, while classroom sessions are available at our Delhi and Noida centres.

Who should join this course:

  • Fresh graduates from any stream — B.Sc, B.Tech, B.Com, BBA, BA, BCA — seeking a start in data science.
  • Working professionals in analytics, reporting, or software roles aiming to transition into machine learning.
  • Career changers moving from non-technical or semi-technical backgrounds into data science.
  • MIS and reporting executives wanting to advance from Excel and SQL to Python, ML, and model deployment.
  • Ahmedabad-based learners who prefer live instructor-led training with recordings, without moving for a classroom batch.

Eligibility: A graduate degree in any discipline is required. No prior programming knowledge is needed, as Python and SQL are taught from the beginning. Basic mathematical comfort is helpful but not essential, since the statistics module builds that foundation. A laptop with at least 8GB RAM and a stable internet connection is advised.

Upcoming Data Science Course Batches in Ahmedabad

Choose a batch that matches your schedule and reserve a free demo session before enrolling. Our upcoming weekday and weekend live batches cater to both students and working professionals, offering flexible timings and practical, hands-on training.

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. Irshad 02Seats

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

Curriculums for Data Science Training Courses In Ahmedabad

Data Science Course Syllabus in Ahmedabad

The syllabus consists of eleven modules and spans 150+ hours of learning, mirroring the real workflow of data scientists — gather data, clean it, analyse it, build models, deploy them, and share results. Each module features a graded practical assignment using a real dataset, and the final module unites all learning via portfolio-focused 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
  • Bayesian thinking for business problems

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

  • Supervised vs unsupervised learning, train-test split, cross-validation
  • Linear and logistic regression
  • Decision trees, random forests, gradient boosting (XGBoost, LightGBM)
  • KNN, Naive Bayes, SVM
  • K-means, hierarchical clustering, PCA
  • Model evaluation: accuracy, precision, recall, F1, ROC-AUC, RMSE
  • Scikit-learn pipelines and hyperparameter tuning

Module 6: Deep Learning & Neural Networks — 15 Hours

  • Perceptrons, activation functions, backpropagation
  • Feedforward neural networks in TensorFlow/Keras
  • Regularisation: dropout, batch normalisation, early stopping
  • Convolutional Neural Networks (CNN) for image data
  • Recurrent Neural Networks (RNN) and LSTMs for sequences
  • Transfer learning with pre-trained models

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

  • Text preprocessing: tokenisation, stemming, lemmatisation
  • Bag of Words, TF-IDF and embeddings
  • Sentiment analysis and text classification
  • Named entity recognition
  • Introduction to transformer architectures
  • Hugging Face pipelines for practical NLP tasks

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

  • Connecting to Excel, SQL, CSV and web sources
  • Power Query Editor, data modelling and relationships
  • DAX: calculated columns, measures, time intelligence
  • Visual types, filters, slicers, bookmarks and drill-through
  • Tableau dimensions, measures, calculated fields and parameters
  • Dashboards, actions and stories; publishing and scheduled refresh

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

  • How large language models work: tokens, context, temperature
  • Prompt engineering for data tasks
  • AI-assisted SQL, Python and model debugging
  • Copilot in Excel, Power BI and notebooks
  • Retrieval-augmented generation (RAG) basics
  • Verifying AI output: hallucinations, wrong aggregations, false confidence
  • Data privacy: what should never be pasted into a public AI tool

Module 10: MLOps & Model Deployment — 8 Hours

  • Model packaging and versioning
  • REST APIs for model serving with FastAPI/Flask
  • Containerisation basics with Docker
  • Experiment tracking with MLflow
  • CI/CD concepts for ML pipelines
  • Monitoring models in production: drift and retraining triggers

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, ML and case-study interview practice
  • Mock interviews with feedback
# Module Hours Tools
1 Python for Data Science 20 Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter
2 SQL & Database Management 15 MySQL
3 Statistics & Probability 15 Excel, Python, SciPy
4 Data Cleaning & EDA 12 Python, Pandas
5 Machine Learning 25 Scikit-learn, XGBoost, LightGBM
6 Deep Learning & Neural Networks 15 TensorFlow, Keras
7 Natural Language Processing 10 NLTK, spaCy, Hugging Face
8 Power BI & Tableau 15 Power BI Desktop, Tableau Public
9 Generative AI, LLMs & Prompt Engineering 10 ChatGPT, Copilot
10 MLOps & Model Deployment 8 FastAPI, Docker, MLflow
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 Ahmedabad

After completing all eleven modules, the required assignments, and the capstone project, learners receive the Uncodemy Data Science Program Certificate. The certificate includes the program name, duration, technology stack covered, completion date, and a verification reference. It is issued after successful completion of the coursework and assessment, acting as proof of achievement in the Uncodemy Data Science program.

The certification is accompanied by the practical work completed during the program. Learners apply the tools and concepts covered in the curriculum — including Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI — in assignments, projects, and the final capstone, which brings the learning together in a real-world setting.

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 for Ahmedabad learners offered by Uncodemy includes a verified Uncodemy Data Science Program Certificate that can be checked online through the official Uncodemy certificate verification 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 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, ML and statistics questions, 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

Classroom sessions at our Delhi and Noida centres and live online batches are conducted by Uncodemy's senior trainer panel, averaging 10+ years of corporate training experience in data science, analytics, and AI. The curriculum on this page was reviewed and approved by Mr. Upendra Kumar Tiwari.

Uncodemy distinguishes two roles that most institutes merge. Trainers conduct the live sessions. Domain reviewers — separate specialists who do not teach the batch — confirm that the curriculum is technically accurate and up to date. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. This means the instructor is not the only person verifying whether the content is correct.

Every trainer and domain reviewer linked with Uncodemy is listed by name, along with their domain and background — you can check them before you enrol rather than after.

Enroll in Our Data Science Training in Ahmedabad Today!

Sign up for Uncodemy's Data Science Training for Ahmedabad learners today. Build practical data science skills via instructor-led live online training, real projects, assignments, and structured career preparation — from Python and SQL to machine learning, deep learning, and Gen AI.

Data Scientist Jobs and Career Scope in Ahmedabad+

Ahmedabad, one of Gujarat's largest cities, is a key industrial and commercial centre in western India, located on the banks of the Sabarmati River. Renowned for its entrepreneurial spirit and as a hub for textiles, pharmaceuticals, and information technology, Ahmedabad has a diversified economy spanning IT and IT services (with major parks in Gandhinagar, GIFT City, and Prahladnagar), pharmaceuticals and chemicals (with major players in Sanand and Changodar), textiles, education, and a growing startup and analytics ecosystem. The city hosts a strong presence of IT services and product companies, Global Capability Centres (GCCs), and a thriving BFSI sector. Local data science hiring in Ahmedabad is substantial, with demand across IT services, BFSI, pharmaceuticals, manufacturing, and retail. Ahmedabad also benefits from its proximity to Mumbai, giving learners access to a wider set of opportunities. Many Ahmedabad learners work with employers in the city itself, or target remote-first companies where the skill bar is identical and location is not a barrier. Across all of these, employers expect working Python, SQL and at least one BI tool, plus a portfolio that shows you can frame a business question and evaluate a model — not just train one.

Job Roles After This Course+

Data Scientist, ML Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate are the roles this course maps to. Each overlaps in the underlying skill set — Python for modelling, SQL for data access, statistics for evaluation, and a BI tool for communicating results — but they differ in how much of the day is spent on modelling versus data infrastructure versus stakeholder communication.
Role Core Tools
Data Scientist Python, SQL, Scikit-learn, TensorFlow, Power BI
ML Engineer Python, TensorFlow, Docker, MLflow, FastAPI
Data Analyst SQL, Excel, Python, Power BI
Business Intelligence Analyst Power BI, Tableau, SQL, DAX
Data Engineer SQL, Python, ETL tools, cloud data platforms
AI/ML Research Associate Python, PyTorch/TensorFlow, NLP libraries
Most graduates start as a Data Scientist, Data Analyst or ML Engineer and specialise further with two to four years of experience, once they have owned a few end-to-end modelling or deployment projects.

Data Scientist Salary in Ahmedabad — Experience-wise+

Salaries in Ahmedabad vary by experience level, sector and how strong your Python and ML engineering skills are. A candidate who can only train models in a notebook typically sits at the lower end of a band; one who can also deploy, monitor and explain a model to a business stakeholder tends to move to the top of the same band faster. Ahmedabad salaries for the same experience band often sit below Bengaluru and Mumbai, though remote roles and roles with product companies can pay at par with those markets.
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 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 Ahmedabad+

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 Ahmedabad and the surrounding district, data science demand is strongest in:
  • IT services and product companies — Ahmedabad's IT parks (Gandhinagar, GIFT City, Prahladnagar) and product companies, for reporting automation, MIS, customer analytics and model development
  • BFSI and Global Capability Centres (GCCs) — banking, insurance, NBFCs and the numerous GCCs in the city, for credit risk, fraud analytics, collections analytics and MIS reporting
  • Pharmaceuticals and chemicals — Ahmedabad's large pharmaceutical and chemical ecosystem, for operations, quality and supply chain analytics
  • Education and healthcare — Ahmedabad's university ecosystem and hospital network, for academic, operational and clinical data analysis
  • Mumbai/Bengaluru-linked remote and relocated roles — the largest practical opportunity for Ahmedabad learners, across IT services, BFSI, pharmaceuticals, manufacturing and consulting, where the skill bar is identical and location is not a barrier
Each sector 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 are most interested in. Many Ahmedabad learners also target remote-first employers or relocate to Mumbai or Bengaluru, where the analytics job market is significantly larger.

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.
  • Learn Python — syntax, data structures, functions, and then Pandas and NumPy for real data work.
  • Build statistics depth — descriptive stats, probability, hypothesis testing and regression, enough to defend your conclusions when questioned.
  • Learn SQL to a working standard — joins, aggregations, subqueries and window functions, because almost every data science role starts with pulling data from a database.
  • Learn machine learning — supervised and unsupervised algorithms, model evaluation, cross-validation and hyperparameter tuning with Scikit-learn.
  • Add deep learning — neural networks, CNNs, RNNs and transfer learning with TensorFlow/Keras, plus an introduction to transformers and NLP.
  • Build three to five portfolio projects, each with a business question, a model, an evaluation metric and a recommendation — ideally drawn from a sector you want to work in.
  • Prepare and apply — SQL and ML practice, 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.

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

Ahmedabad has a large and varied set of data science training options, ranging from short weekend workshops to a number of multi-month programs. 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, a BI tool and a deployment workflow depending on the task, rather than being strong in only one. Where we are not the cheapest option: shorter self-paced courses cost less. If your goal is a quick Python and Power BI refresher rather than a full career transition, a shorter program may suit you better, and it is 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 default and practical format for Ahmedabad learners, letting working professionals join live sessions from home and fit classes around a job or other commitments. Offline classroom is available at our Delhi and Noida centres; Ahmedabad is roughly 1,400 km from Delhi, so for most Ahmedabad learners the live online format is the realistic choice, and some choose to attend an occasional classroom session when they travel to Delhi NCR for work or family. Hybrid suits learners who want flexibility with occasional in-person sessions — useful if your schedule changes week to week but you still want some face-to-face time with trainers and batchmates. 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 Python + Power BI basics A shorter course may be sufficient
Full data science career transition This program
Heavy analytics and dashboarding focus Consider Data Analytics
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 Ahmedabad?

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

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 first modules focus on Python fundamentals and SQL, which need no traditional coding background.

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, RAG basics, and verifying AI output.

5. How many projects will I complete?

Five guided projects across BFSI, e-commerce, retail, healthcare and NLP domains, 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 and classroom formats cover the identical syllabus.

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

The program fee is ₹21,500 plus 18% GST, total fee ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month.

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, one ML framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.

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

Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. Ahmedabad salaries often sit below Bengaluru and Mumbai at the same experience band, though remote roles and roles with product companies can pay at par. Actual salaries vary by sector, company, skills and experience.

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 Scientist, Data Analyst or ML Engineer.

14. Who is eligible for this Data Science course?

Any graduate from any discipline can enrol. No prior coding or analytics 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 Ahmedabad?

Uncodemy does not have a physical classroom centre in Ahmedabad. Ahmedabad learners join live online batches, which cover the identical syllabus, trainers and projects. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Ahmedabad is roughly 100 km from Mumbai, about 2 hours by road, and about 1,400 km from Delhi — learners who want classroom sessions typically travel to Delhi NCR, though for most Ahmedabad learners the live online format is the practical choice.

Why Trust This Page? Discover Why Students Choose Uncodemy

How we maintain this page

  • Content written by: Mr. Ratan
  • Content rechecked and verified by: Mr. Irshad
  • Course curriculum verified by: Mr. Irshad Khan
  • Technical content verified by:Mr. Upendra Kumar Tiwari
  • Fee verified by: Admin Department
  • Placement figures sourced from internal placement records
  • Review counts verified against respective third-party platforms
  • Last reviewed:
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Nearest Classroom Training Centres

Nearest Classroom Training Centres

Ahmedabad learners enrol in Uncodemy live online batches, which offer the same syllabus, trainers, and projects as classroom batches. The closest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1. Ahmedabad is roughly 100 km from Mumbai, about 2 hours by road, and about 1,400 km from Delhi — learners seeking classroom sessions usually travel to Delhi NCR, though for most Ahmedabad learners the live online format is the practical option. Live online batches follow IST timings and include recorded sessions for revision.

Open now
Delhi Centre — Address
2nd & 3rd Floor, Maa Katyayni Complex, MB-1E, Madhuban Rd, next to DSEU Ambedkar College, Laxmi Nagar, Shakarpur Extension, Shakarpur, Delhi, 110092
Noida Centre — Address
B 14-15, Udhyog Marg, Block B, Sector 1, Noida, Uttar Pradesh 201301
Phone9818366550
Websiteuncodemy.com
Live online for Ahmedabad Recorded sessions Walk-ins welcome at Delhi/Noida
📍 Nearest classrooms — Delhi (Head Office) & Noida — Open Delhi centre in Google Maps  |  Open Noida centre in Google Maps