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Read More →Mumbai learners can join Uncodemy’s 8–9 month instructor-led Data Science and Generative AI program. The course covers Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau, and Gen AI through live online classes, with classroom access at the Delhi and Noida centres. The current fee is ₹21,500 plus 18% GST, bringing the total to ₹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
Learners completing Uncodemy’s Data Science program gain practical skills in Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI. After completing the training and career preparation, eligible learners may apply for roles such as Data Scientist, ML Engineer, Data Analyst, or Business Intelligence Analyst. Mumbai placement information is updated regularly at uncodemy.com/placement.
Placed at:FINELABS
Placed at:Allsoft Solutions
Placed at:Hexalog
Placed at:SmartStudy
Placed at:CloudFirst Digital
Placed at:Jepius Healthcare
Data Science combines programming, statistics, and domain knowledge to turn raw data into useful insight and predictions. The work includes collecting and cleaning data, exploring it, building models, and deploying them. Organisations use it for demand forecasting, risk detection, product personalisation, and automated decisions at scale.
What does a data scientist do? A data scientist gathers and cleans information from business systems, looks for patterns, builds and tests machine learning models, and explains findings to product, marketing, risk, or engineering teams. Their work often includes SQL queries, Python notebooks, model checks, and translating technical results into clear business action.
Data analytics describes past events, data science estimates what may happen next, and business analytics focuses on the action 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.
This Mumbai course runs for 8–9 months and includes 90+ live sessions with more than 150 hours of learning. Eleven modules cover Python, SQL, statistics, EDA, machine learning, deep learning, NLP, Power BI/Tableau, Generative AI, MLOps, and a capstone. Real-dataset exercises and guided projects help build a portfolio. Mumbai learners join live online sessions, while classroom access is available in Delhi and Noida.
Who should join this course:
Eligibility: Graduates from any discipline may apply. Previous programming experience is not needed, as Python and SQL start from the basics. Basic mathematics is useful but not essential; the statistics module builds the foundation. A laptop with 8GB RAM and stable internet is recommended.
Select a batch time that suits your routine and attend a free demo before enrolling. Weekday and weekend live batches are available for students and working professionals, with flexible schedules and practical learning.
| 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 |
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 27Sept | 03:00 PM – 05:00 PM | Mr. Kunal | 02Seats |
Seats are limited and updated daily. All timings are in IST.
The Mumbai syllabus contains eleven modules and more than 150 hours of learning, arranged around a real Data Science workflow: collect the data, clean it, analyse it, model it, deploy it, and explain the outcome. Each module includes a graded assignment using a real dataset, and the final module combines the learning in portfolio projects.
| # | 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 | |
After completing all eleven modules, assignments, and the capstone project, learners receive the Uncodemy Data Science Program Certificate. It records the program name, duration, tools covered, completion date, and verification reference. The certificate is issued after the required coursework and assessment are completed.
The certificate is supported by the practical work completed during the program. Learners use Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI in assignments and projects, while the capstone applies the concepts in a final project.
Mumbai learners completing Uncodemy’s Data Science course receive a verified Program Certificate. Its details can be checked online through the official Uncodemy Certificate Portal.
Uncodemy Certificate Verification Online Certificate Verification & Download certificate.uncodemy.com_2.webp)
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Python
SQL
Statistics
Pandas
NumPy
Power BI
Tableau
Excel
ChatGPT
Copilot
Uncodemy Edutech Pvt. Ltd. operates Uncodemy as an IT training institute with centres in Delhi and Noida. Live online classes reach learners across India, including beginners, graduates, freshers, and working professionals seeking practical, job-relevant skills.
In this Data Science program, learners apply Python, SQL, statistics, machine learning, deep learning, Power BI/Tableau, and Gen AI through projects based on real datasets. The training connects these tools to forecasting, classification, segmentation, and model deployment. Read the complete module-by-module curriculum before enrolling.
Alongside the training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation, and career support. The career support policy explains the included assistance and its limits, while the eligibility conditions are published before enrolment and payment.
If you are exploring other career options, Uncodemy also offers Data Analytics training, Business Analyst, Machine Learning and Artificial Intelligence training courses for Mumbai and pan-India learners. Data Science and Data Analytics share some foundations but lead to different roles, so comparing both curricula before choosing is useful.
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.
The people who actually teach this course
Classroom sessions at our Delhi and Noida centres and live online batches are taught by Uncodemy's senior trainer panel, with 10+ years average corporate training experience across data science, analytics and AI. The curriculum on this page was reviewed and signed off by Mr. Upendra Kumar Tiwari.
Uncodemy separates two roles that most institutes combine. Trainers deliver the live sessions. Domain reviewers — separate specialists who don't teach the batch — verify that the curriculum is technically accurate and current. For this program, the technical content is reviewed by Mr. Upendra Kumar Tiwari. It means the person teaching a course is not the only person checking whether its content is correct.
Every trainer and domain reviewer associated with Uncodemy is published by name, with their domain and background — you can look them up before you enrol rather than after.
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 Analytics & 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 Analytics & 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 Analytics 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 Analytics Trainer
ExpertiseAdvanced Excel · SQL · Power BI · Tableau · Python · Data Visualisation · Statistics
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL 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 Analytics Trainer
Expertise
Data Analytics 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.
CEO & Founder
ExpertiseCEO & Founder of GvCloud Secure and 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.
Enroll in Uncodemy's Data Science Training for Mumbai learners today. Develop practical data science skills through instructor-led live online training, real projects, assignments and structured career preparation — from Python and SQL through machine learning, deep learning and Gen AI.
| 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 |
| 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 |
| 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 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 |
The program runs for 8–9 months and includes 150+ hours of learning across 90+ live sessions. Weekday and weekend batches are both available.
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.
15+ tools including Python, SQL, Statistics, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib/Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
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.
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.
All 90+ sessions are live and instructor-led, with recordings available afterwards for revision. Live online and classroom formats cover the identical syllabus.
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.
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.
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.
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 framework and a portfolio — this program is built to deliver all four. Entry-level data science salaries are indicatively ₹4–8 LPA.
Indicative ranges are ₹4–8 LPA at fresher level, ₹8–15 LPA for 1–3 years, and ₹12–20+ LPA for 3–5 years. Mumbai BFSI and product roles often sit at the upper end of each band. Actual salaries vary by sector, company, skills and experience.
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.
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.
Uncodemy does not have a physical classroom centre in Mumbai. Mumbai 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 — Mumbai learners who travel to Delhi NCR can attend classroom sessions there.
Mumbai learners join Uncodemy live online batches, which cover the same syllabus, trainers and projects as classroom batches. The nearest classroom centres are our Delhi centre in Shakarpur and our Noida centre in Sector 1 — Mumbai learners who travel to Delhi NCR can attend classroom sessions there. Live online batches run on IST timings and include recorded sessions for revision.
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