Choose the best training program according to your career.
Improve the performance of your business with our innovative Industrial Training Program.
Read More →
Our instructor-led training classes are designed to make you an expert.
Read More →
Real-life case studies are a great way to demonstrate your practical knowledge.
Read More →
Explore blogs, latest technologies and industry updates with practical examples.
Read More →
Browse all available training programs and choose the right one for your career.
Read More →Know more about who we are and what we stand for.
Discover our mission to equip individuals with essential IT skills and industry expertise.
Read More →Learn, practice and plan your career — bilkul free.
Book a free video counselling session and pick the right course for you.
Read More →Uncodemy brings its Data Science with Generative AI program to Nashik learners as an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Classes run live online for Nashik learners, and classroom sessions are available at our Delhi and Noida centres if you travel to Delhi NCR — the program includes practical projects, session recordings and career-support services. Current fee: ₹21,500 + GST; total payable ₹25,370.
Taught by 30+ working industry professionals
Practice on real datasets & business case studies
Keep recorded sessions and study material forever
Resume, mock interviews and ongoing job support
Uncodemy Program Certificate on completion
Weekday & weekend options, online and offline
Graduates of Uncodemy's Data Science program build working command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing training and the career-preparation module, eligible learners can target 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:CloudFirst Digital
Placed at:Jepius Healthcare
Data science blends statistics, programming and domain expertise to turn raw data into usable insight and predictions. The work spans sourcing and cleaning data, constructing models, judging how well they perform and then translating the output into decisions. Companies depend on it to read customer behaviour, forecast demand, catch fraud early, personalise recommendations and automate decisions that used to be handled manually.
What does a data scientist do? A data scientist draws data from databases and business systems, cleans and explores it, constructs and evaluates machine learning models, and converts findings into recommendations the business can act on. A typical week is spent writing Python and SQL, training and tuning models, walking stakeholders through metrics, and either deploying or monitoring a model 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.
The Data Science course for Nashik learners spans 8–9 months, 90+ live sessions and 150+ hours of learning, structured across eleven modules that build 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 module on how AI tools fit into everyday data science work. Each module ends with practical exercises on real datasets, and the program wraps up with capstone projects that go straight into your portfolio. Nashik learners join live online sessions — a format that works well for working professionals across Satpur, Ambad, Sinnar MIDC belts and the wider North Maharashtra region, and for anyone targeting analytics roles in Nashik, 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. No prior programming experience is needed — Python and SQL are taught from the first line of code. Comfort with basic mathematics helps but is not essential; the statistics module builds this from the ground up. A laptop with 8GB RAM and a stable internet connection is recommended for practical sessions.
Select a batch timing that works for you. Book a free demo class first, 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 covering 150+ hours of learning, sequenced the way data scientists actually work — pull the data, clean it, explore it, build models, deploy them, then communicate the result. Each module closes with a graded practical assignment on a real dataset, and the final module pulls everything together 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 | 155+ Hours | 15+ tools | |
Once all eleven modules, the assignments and the capstone project are complete, you are awarded the Uncodemy Data Science Program Certificate. The certificate lists the program name, duration, tools covered and completion date, together with a verification reference. Certification is issued on completion of the required coursework and assessment, and stands as a formal record of 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 the Data Science tools covered in the curriculum, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone project gives you a chance to apply the concepts covered during training.
The Data Science course in Nashik 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_2.webp)
_3.webp)
Python
SQL
Statistics
Pandas
Numpy
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy is a career-first IT training institute run by Uncodemy Edutech Pvt. Ltd., with training centres in Delhi and Noida, and live online classes that reach learners across India including Nashik and the wider North Maharashtra region. Courses are built for beginners, graduates, freshers and working professionals who want practical, job-relevant skills rather than theory alone.
Throughout 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 mirrors how businesses actually use data — spotting 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.
Beyond the 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 spelled out in our career support policy, along with the eligibility conditions published before enrolment rather than after payment.
If you are still weighing your options, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Nashik and Maharashtra 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 get reviewed and refined into a data science portfolio an interviewer will find credible.
Resume & LinkedIn:Your resume is built around the right keywords and measurable outcomes, and your LinkedIn profile is aligned to match.
Interview preparation: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.
The people who actually teach this course
Live online sessions for Nashik learners are led by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 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 keeps two roles separate that most institutes tend to merge. Trainers handle the live sessions. Domain reviewers — specialists who don't teach the batch — verify that the curriculum stays technically accurate and current. For this program, the technical content is reviewed by Upendra Kumar Tiwari. The point is simple: the person teaching a course isn't 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 — so 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 and founder of GvCloud Secure, 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.
Join Uncodemy's Data Science Training for Nashik learners today. Build real Data Science skills through instructor-led classes, projects, assignments and structured career preparation — so you can start applying for Data Science roles with a portfolio and interview readiness behind you.
| 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 Nashik's manufacturing/pharma/FMCG sector | This program |
| Remote or Mumbai/Pune analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
The course spans 8–9 months and delivers 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both offered in live online mode.
Yes. Prior programming experience is not required. Python and SQL are taught from the ground up, starting with Python fundamentals and Excel in the opening module.
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 dedicated 10-hour module on Generative AI, LLMs and prompt engineering, covering AI-assisted coding, model evaluation, RAG basics and verifying AI output.
Five guided projects spanning retail, banking, HR, e-commerce and healthcare, plus one capstone project of your own choosing. All projects become part of your portfolio.
All 90+ sessions are live and instructor-led, and recordings are made available after each class for revision. Online and classroom batches share the same syllabus.
The program fee is ₹21,500 plus 18% GST, totalling ₹25,370. This covers all sessions, materials, projects, certification and career support, with no extra charges. EMI starts from ₹4,622/month for 6 months.
Yes. EMI starts at ₹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.
Yes. You can attend a free live online demo session to experience the teaching style, meet the trainer and review the curriculum before deciding. Contact us to book a slot.
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.
Yes, entry-level roles are open to freshers. Employers typically expect working Python, SQL, one ML project and a portfolio — this program is built to deliver all three. Entry-level Data Scientist salaries in Nashik and the wider Maharashtra market are indicatively ₹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 Nashik salaries tend toward the middle of these ranges for engineering, auto and pharma firms, while Mumbai and Pune roles typically pay closer to the top. Uncodemy does not guarantee any specific salary outcome.
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 experience is needed. Final-year students, working professionals and career changers are all welcome.
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.
There is no physical centre in Nashik. Nashik learners join our live online batches, which carry the same 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 Nashik learners prefer live online.
Nashik 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. For most Nashik-based learners, live online is the practical choice — it removes travel and lets you learn from the same trainers and curriculum.
4.7/5
5/5
4.7/5
5/5
4/5
5/5