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Read More →Bangalore learners can enrol in Uncodemy's Data Science with Generative AI program, an 8–9 month instructor-led course covering Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. Lessons are held live online for Bangalore learners, with the option to use the Delhi and Noida classrooms when travelling to Delhi NCR. Learners also receive real project practice, recorded lessons and career-support services. The current course fee is ₹21,500 + GST, and the total fee is ₹25,370.
Learn with professionals bringing 8+ years of experience
Practice through live projects and practical case studies
Retain lifelong access to recordings and study materials
Resume preparation, mock interviews and career assistance
Earn an Uncodemy certificate after completion
Weekday and weekend options online or in class
Those who complete Uncodemy's Data Science training gain hands-on capability in Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. After finishing the training and career preparation, eligible learners can pursue roles such as Data Scientist, Data Analyst or Machine Learning Engineer. Placement records for Bangalore learners are revised regularly — view verified outcomes 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 brings together statistics, programming and subject expertise to produce insights and forecasts from data. It involves gathering information, preparing it, creating models, testing their performance and explaining the findings. Organisations use these methods to study customers, anticipate demand, identify fraud, tailor recommendations and automate tasks that once required manual decisions.
What does a data scientist do? A data scientist obtains information from databases and business systems, cleans and studies it, develops and assesses machine learning models, and translates the results into business recommendations. Their work may include writing Python and SQL, training and refining models, discussing measurements with stakeholders, and deploying or monitoring models in production.
Data analytics investigates past events and their causes. Data science uses data to forecast future outcomes. Business analytics applies those findings to processes, planning 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 Bangalore learners lasts 8–9 months and includes 90+ live sessions with 150+ hours of learning. The eleven modules move in sequence through Python, SQL, statistics, data preparation and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps, including practical guidance on using AI tools in daily data work. Each module uses exercises based on real datasets, and the course ends with guided projects and a capstone project for your portfolio. Bangalore learners attend live online sessions, with classroom access at our Delhi and Noida centres if they travel to Delhi NCR.
Who should join this course:
Eligibility: Graduates from any discipline are eligible. Earlier programming knowledge is not required, as Python and SQL begin with the basics. A comfort with elementary mathematics is useful but optional because the statistics lessons establish the fundamentals. Practical classes require an 8GB RAM laptop and a dependable internet connection.
Select a timing that suits your schedule. You may book a free demo class or join an upcoming weekday or weekend live batch, with flexible hours and practical sessions for students and working professionals. Batch dates, timings and available seats are updated regularly. Contact Uncodemy for the latest Bangalore/online batch schedule. All timings are in IST.
| 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 Khan | 02Seats |
Seats are limited and updated daily. All timings are in IST. Dates and times are indicative placeholders — confirm current batch availability with Uncodemy before enrolling.
The syllabus contains eleven modules and 150+ hours of learning, arranged according to the usual data science process: obtain the data, prepare it, examine it, build models, deploy them and communicate the outcome. Every module concludes with a graded practical task using a real dataset, while the final module combines the learning 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 all eleven modules, assignments and the capstone project are completed, you receive the Uncodemy Data Science Program Certificate. It notes the program name, duration, tools covered and completion date, together with a verification reference. The certificate is issued after the required coursework and assessment, recording successful completion of the Uncodemy Data Science program.
The certificate is accompanied by the practical work produced during the course. Learners complete assignments and projects with the curriculum's Data Science tools, including Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI. The capstone lets learners apply the concepts developed during training.
Uncodemy's Data Science course in Bangalore includes a verified Uncodemy Data Science Program Certificate, with online verification available 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
TensorFlow/Keras
Power BITableau
ChatGPT
CopilotUncodemy runs training centres in Delhi and Noida and offers live online classes to learners throughout India, including Bangalore and the wider Uttar Pradesh region. The courses are designed for beginners, graduates, freshers and working professionals who want useful, employment-focused skills instead of theory alone.
In this Data Science program, learners practise Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps while working on real datasets. The training explains how businesses find patterns, create models, make predictions and use data to guide decisions. Read the full module-by-module curriculum before you enrol.
The program includes instructor-led classes, practical assignments, project-based learning, interview preparation and career support. The career support policy describes both the assistance provided and its limitations, along with the eligibility conditions published before enrolment.
For learners considering other paths, Uncodemy also offers Data Analytics, Business Analyst, Machine Learning and Artificial Intelligence training courses for Bangalore and Uttar Pradesh learners. Data Science and Data Analytics share some core subjects but lead toward different roles, so compare both curricula before deciding.
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
Uncodemy assigns two separate responsibilities. Trainers lead the live classes, while domain reviewers are specialists who do not teach the batch but check that the curriculum remains technically correct and current. Mr. Upendra Kumar Tiwari reviews the technical material for this Data Science program, giving the content an additional layer of review beyond classroom delivery.
Uncodemy names each trainer and domain reviewer and publishes their field and background, so learners can research their experience before enrolling.
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.
Join Uncodemy's Data Science Training for Bangalore learners and build practical Data Science and Gen AI skills through live online instruction, real project work and dedicated career guidance. Book a demo or trial class to understand the teaching approach before enrolling.
| Role | Core Tools |
|---|---|
| Data Scientist | Python, SQL, Machine Learning |
| ML Engineer | Python, ML, MLOps |
| Data Analyst | SQL, Python, Power BI/Tableau |
| Business Intelligence Analyst | SQL, Power BI, Tableau |
| Data Engineer | SQL, Python, Data Engineering tools |
| AI/ML Research Associate | Python, ML, Deep Learning |
| 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 | Uncodemy |
|---|---|
| Duration | 8–9 Months |
| Learning Hours | 150+ Hours |
| Live Sessions | 90+ |
| Tools | 15+ |
| Gen AI Module | Yes |
| Projects | 5 Guided + 1 Capstone |
| Career Support | Dedicated Career & Placement Assistance |
| Format | Best for | Considerations |
|---|---|---|
| Live Online | Bangalore learners, working professionals, students | No commute, flexible schedule, live interaction, recorded sessions, same syllabus and projects |
| Offline (Delhi/Noida) | Learners who can travel to NCR | In-person doubt clearing, classroom environment, but requires commute or relocation |
| Hybrid | Learners splitting time between Bangalore and NCR | Occasional classroom sessions plus live online |
| If you want... | Course format / suitability |
|---|---|
| Learn Data Science from basics | Suitable |
| Build Python + ML skills | Suitable |
| Learn Gen AI | Suitable |
| Work on guided projects | Suitable |
| Attend live classes from Bangalore | Live Online |
| Attend physical classroom training | Delhi/Noida centres |
| Switch career into Data Science | Requires consistent practice |
| Guaranteed employment | Not guaranteed |
The course takes 8–9 months and provides 150+ hours of learning through more than 90 live sessions. Bangalore learners can select a weekday or weekend live online batch.
Yes. Previous programming knowledge is not needed. Python and SQL begin at the introductory level, and the first month covers Python fundamentals and Excel without assuming a conventional coding background.
15+ tools including Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow.
Yes. Module 9 devotes 10 hours to Generative AI, LLMs and prompt engineering, including AI-supported coding, model assessment, RAG fundamentals and checking the reliability of AI output.
You complete five guided projects in retail, banking, HR, e-commerce and healthcare, followed by one capstone project of your choice. The work can be collected into a portfolio for interview discussions.
All 90+ sessions are taught live by instructors, and recordings are available afterward for revision. Online and classroom learners follow the same syllabus.
The program fee is ₹21,500 plus 18% GST. Total fee is ₹25,370. This covers all sessions, materials, projects, certification and career support, with no additional charges. EMI starts from ₹4,622/month for 6 months — EMI includes applicable interest/processing charges; final plan confirmed by a counsellor.
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. Attend a free live online demo to observe the teaching style, meet the trainer and review the curriculum before deciding. Contact us to schedule a demo.
Our dedicated career and placement assistance covers resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and opportunity sharing through a network of 850+ companies. Employment is not guaranteed because employers make the hiring decisions.
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 Noida-Delhi NCR are indicatively ₹4–8 LPA.
Indicative ranges for Noida-Delhi NCR are ₹4–8 LPA at entry level, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior data scientists. Actual salaries vary by sector, company, skills and experience. 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.
Graduates from every discipline may enrol, and no previous coding or analytics experience is necessary. Final-year students, working professionals and career changers are welcome to apply.
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 Bangalore. Bangalore learners can join live online batches that use the same syllabus, trainers and projects as classroom training. Delhi and Noida are the nearest classroom centres for learners travelling to Delhi NCR, although most Bangalore learners choose live online.
Bangalore learners can attend live online batches that follow the same syllabus and use the same trainers and projects as classroom training. Learners who prefer face-to-face classes or are moving to Delhi NCR can study at the Delhi or Noida centres. For most Bangalore-based learners, online learning avoids travel while retaining the same curriculum and teaching team.
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