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Read More →The Uncodemy Data Science with Generative AI program, tailored for Surat learners, spans 8–9 months as a live instructor-led track covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Surat participants attend sessions online, and can also opt for classroom batches at our Delhi and Noida centres if they travel to Delhi NCR — along with hands-on projects, recordings and full career-support services. The current course fee is ₹21,500 + GST, Total fees is ₹25,370.
Learn from 8+ years experienced professionals
Work on real-time projects & case studies
Get lifetime access to recorded sessions & materials
Resume Building, Mock Interviews & Job Support
Certificate of Completion from Uncodemy
Weekday & Weekend Online & Offline
Those who complete the Uncodemy Data Science program develop working-level proficiency in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Once training and career preparation are complete, eligible candidates can pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data science is the discipline of turning raw data into usable insight and forward-looking predictions by blending statistics, programming and domain understanding. The workflow covers gathering and cleaning data, building and validating models, and explaining what the numbers actually mean. Businesses apply it to decode customer behaviour, forecast demand, spot fraud early, tailor recommendations and replace manual decisions with automated ones.
What does a data scientist do? In practice, a data scientist pulls data from databases and business systems, cleans and explores it, trains and validates machine learning models, then converts the results into recommendations decision-makers can act on. A normal week includes writing Python and SQL, tuning models, walking stakeholders through metrics, and keeping a deployed model healthy in production.
Data analytics explains what happened and why. Data science predicts what will happen next. Business analytics focuses on 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.
For Surat participants, our Data Science program extends across 8–9 months, delivering 90+ live sessions and 150+ learning hours, arranged into eleven modules that layer one on top of another — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps — plus a dedicated unit on how AI tools slot into everyday data science work. Each module closes with practical exercises on real datasets, and the program ends with capstone projects that double as your interview portfolio. Surat learners attend live online sessions — a format that suits working professionals based in Adajan, Vesu, Pal, Varachha, Katargam, Rander, Piplod, Udhna and the wider South Gujarat belt, and anyone targeting analytics roles in Surat, Ahmedabad, Mumbai or Pune — with classroom access at our Delhi and Noida centres if you travel to Delhi NCR.
Who should join this course:
Eligibility: A graduate degree in any discipline is enough. No programming background is expected — Python and SQL are taught from the first line of code. Basic mathematical comfort helps but is not mandatory, since the statistics module builds it up from the ground. For practice sessions, we recommend an 8GB RAM laptop and a stable internet connection.
Choose a batch timing that fits your work or study 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
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 22Sept | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| 28Sept | 02:00 PM – 03:00 PM | Mr. Irshad Khan | 01Seats |
| 02Oct | 10:30 AM – 11:30 AM | Ms. Rachna Verma | 02Seat |
| 06Oct | 12:00 PM – 01:00 PM | Mr. syed Najeeb | 01Seats |
| 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.
The syllabus is split into eleven modules totalling 150+ learning hours, sequenced in the order data scientists actually work — acquire data, clean it, analyse it, build models, deploy them, and communicate findings. Each module closes with a graded practical assignment on a real dataset, and the final module consolidates everything into portfolio projects.
| # | Module | Hours | Tools |
|---|---|---|---|
| 1 | Python for Data Science | 20 | Python, Pandas, NumPy |
| 2 | SQL & Database Management | 15 | MySQL |
| 3 | Statistics & Probability for Data Science | 15 | Excel, Python |
| 4 | Data Cleaning & EDA | 12 | Python, Pandas |
| 5 | Machine Learning (Supervised & Unsupervised) | 25 | Scikit-learn |
| 6 | Deep Learning & Neural Networks | 15 | TensorFlow, Keras |
| 7 | Natural Language Processing (NLP) | 10 | NLTK, spaCy |
| 8 | Power BI & Tableau for Data Science | 15 | Power BI, Tableau |
| 9 | Generative AI, LLMs & Prompt Engineering | 10 | ChatGPT, Copilot |
| 10 | MLOps & Model Deployment | 8 | MLflow, Flask, Cloud |
| 11 | Capstone & Career Prep | 10+ | All tools |
| Total | 150+ Hours | 15+ tools | |
After finishing all eleven modules, the assignments and the capstone project, you receive the Uncodemy Data Science Program Certificate. The document records the program name, duration, tools covered and completion date with a verification reference attached. It is issued only once the required coursework and assessment are complete, giving you a formal record of finishing the Uncodemy Data Science program.
Alongside the certificate, you also receive the practical work produced during the program. Learners complete assignments and projects using every Data Science tool covered in the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project offers a chance to apply everything you've learned to one real-world problem.
The Data Science course in Surat provided by 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_2.webp)
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Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-focused IT training institute operated by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida, and live online classes reaching learners across India including Surat and the wider South Gujarat region. Our courses are built for beginners, graduates, freshers and working professionals who want practical, job-relevant skills rather than theory alone.
In this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps and complete projects on real datasets. The training covers how businesses actually use data — identifying trends, building models, generating predictions and supporting decisions — so you can do the work, not just describe it. You can read the full module-by-module curriculum before you enrol.
Alongside training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support includes — and what it does not — is set out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If you are still deciding on a direction, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Surat and Gujarat learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it is worth comparing both curricula before choosing.
Portfolio review:Your experience and guided projects are reviewed and refined into a data science portfolio an interview will find credible.
Resume & LinkedIn:We build your resume around your keywords and measurable outcomes, and align your LinkedIn profile to match.
Interview preparation:Python and SQL problem sets, ML case studies, and behavioral questions specific to data science hiring.
Mock interviews:Sessions with industry trainers, followed by written feedback on what to fix.
Opportunity sharing:Relevant openings 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.
The people who actually teach this course
Live online sessions for Surat learners are delivered by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, with 15+ years of experience across Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and signed off the curriculum on this page.
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 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.
Senior Data Science Trainer
Expertise15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Data Science & AI Trainer
ExpertisePython · SQL · Machine Learning · Tableau · Artificial Intelligence · Deep Learning · Power BI · MLOps
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Data Science & AI Trainer
ExpertisePython · ML · DL · NLP · Power BI · Tableau · SPSS · SAS · MS-Excel · SQL · HTML · CSS
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Data Science Trainer
ExpertisePython · SQL · Excel · Power BI · Tableau · ML · DL · NLP · Time Series · IoT Devices · Prompt Engineering · Chatbots
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Data Science Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the data science and analytics track at Uncodemy, working with learners on Python, SQL, Excel and BI tooling from first principles to interview-ready projects.
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Data Science Trainer
Expertise
Data Science Trainer
Expertise
MD & CEO
ExpertiseFounder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Director at Uncodemy
ExpertiseDirector at Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Sign up today for Uncodemy's Data Science Training designed for Surat learners! Build practical Data Science skills through live instructor-led sessions, real projects, hands-on assignments and structured career preparation. Begin your Data Science journey with practical training and guided interview readiness.
| 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 |
| 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 |
| 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 |
| 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 Surat's diamond/textile/petrochemical sector | This program |
| Remote or Mumbai/Ahmedabad/Pune analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The program unfolds across 8–9 months, delivering 150+ learning hours through 90+ live sessions. Weekday and weekend live online batches are both available to Surat learners.
Yes, we assume zero coding background. Month one walks through Python fundamentals and Excel from scratch, and SQL only begins once you are comfortable with basic Python.
You will work with 15+ tools including Python | SQL | Pandas | NumPy | Scikit-learn | TensorFlow/Keras | Power BI | Tableau | Matplotlib | Seaborn | Jupyter | Google Colab | ChatGPT | Copilot | MLflow
Yes — Module 9 is a focused 10-hour unit on Generative AI, LLMs and prompt engineering. It covers AI-assisted coding, verifying AI output, data-privacy boundaries and using these tools responsibly in daily data science work.
You complete five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one capstone of your own choosing. All six become part of a portfolio you can present in interviews.
All 90+ sessions are live and instructor-led. Recordings are shared afterwards for revision, and live online and classroom batches follow the exact same syllabus.
The program fee is ₹21,500 plus 18% GST, making the total payable ₹25,370. Everything is included — all sessions, study material, projects, certification and career support. No extra charges apply. EMI starts from ₹4,622/month over 6 months.
Yes, EMI starts from ₹4,622 per month over a 6-month tenure. The exact amount, tenure and eligibility vary by the payment or financing option you pick, and your counsellor will confirm which plan applies to you.
Yes, you can attend a free live online demo session first — experience the trainer's teaching style and review the curriculum before paying anything. Reach out to book a slot.
Yes — we provide dedicated career and placement assistance covering resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing across our 850+ company network. We do not guarantee employment because hiring decisions rest entirely with employers.
Yes, freshers regularly land entry-level roles. Employers look for working Python and SQL skills, at least one ML project and a demonstrable portfolio — this program is designed to deliver all three. Indicative entry-level Data Scientist pay in Surat and across Gujarat is ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Local Surat roles in diamond, textile, petrochemical and port-adjacent firms typically sit in the middle of these bands, while Ahmedabad, Mumbai, Pune and Bengaluru roles usually pay closer to the top. Uncodemy does not guarantee any specific salary outcome.
Roles this course maps to include Data Scientist, Machine Learning Engineer, Data Analyst, Business Intelligence Analyst, Data Engineer and AI/ML Research Associate. Most graduates begin as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline can enrol. No prior coding or analytics background is required. Final-year students, working professionals and career changers are all welcome.
All figures come from Uncodemy's internal records and publicly available review-platform information. Ratings and review counts can 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.
There is no physical Uncodemy centre in Surat. Surat learners join live online batches that carry the same syllabus, trainers and projects as classroom. The nearest physical centres are in Delhi and Noida — most Surat learners prefer live online for convenience.
Surat 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. Surat is roughly 1,150 km from Delhi NCR, so for nearly all Surat-based learners, live online is the practical option — it removes long-distance travel and lets you learn from the same trainers and curriculum from home.
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