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Read More →The Uncodemy Data Science with Generative AI program is designed for Mangalore (Mangaluru) learners who want practical, job-ready skills. Over 8–9 months you master Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and applied Generative AI through 90+ live instructor-led sessions. Join live online from anywhere in Mangalore, Surathkal, Ullal or the coastal belt, or attend classroom batches at our Delhi and Noida centres when you travel. Fee is ₹21,500 + 18% GST (total ₹25,370) with EMI options and complete career support.
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 who complete the Uncodemy Data Science program gain practical command of Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Generative AI. After training and career preparation, eligible candidates can explore roles such as Data Scientist, Data Analyst and 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 process of turning raw data into useful insights and predictive decisions by combining statistics, programming and domain knowledge. It involves collecting and cleaning data, building and testing models, and turning numbers into meaningful business understanding. Companies use it to understand customer behaviour, forecast demand, detect fraud early, improve recommendations and automate decisions that were once manual.
What does a data scientist do? In practice, a data scientist pulls data from business systems and databases, cleans and explores it, trains and validates machine learning models, and turns the results into practical recommendations for decision-makers. A typical week includes writing Python and SQL, improving model performance, explaining metrics to stakeholders and monitoring a deployed model in production.
Data analytics explains what happened and why. Data science predicts what is likely to happen next. Business analytics focuses on business strategy and process improvement.
| 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 Mangalore learners, our Data Science program runs over 8–9 months and includes 90+ live sessions and 150+ learning hours across eleven modules that build step by step — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps — along with a dedicated module on how AI tools fit into everyday data science work. Every module ends with practical exercises on real datasets, and the program concludes with capstone projects that strengthen your interview portfolio. Mangalore students can join live online sessions, which are ideal for working professionals across Surathkal, Kadri, Bejai, Kankanady, Ullal and the wider Mangalore coastal region, while also having access to classroom batches at our Delhi and Noida centres when needed.
Who should join this course:
Eligibility: A graduate degree from any discipline is enough. No prior coding background is required, as Python and SQL are taught from the very beginning. Basic mathematical comfort is helpful but not mandatory, because the statistics module builds this foundation gradually. For practice sessions, we recommend a laptop with at least 8GB RAM and a stable internet connection.
Choose a batch timing that suits your work or study schedule. Book a free demo class first-hand, or join one of our upcoming weekday and weekend live batches, designed for both working professionals and students with flexible timings and hands-on training.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar tiwari | 02Seat |
| 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 divided into eleven modules with 150+ learning hours, arranged in the same order data science work typically happens — collecting data, cleaning it, analysing it, building models, deploying them and presenting the findings. Each module ends with a practical assignment based on a real dataset, and the final module brings everything together through 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 completing all eleven modules, assignments and the capstone project, learners receive the Uncodemy Data Science Program Certificate. The certificate includes the program name, duration, tools covered and completion date, along with a verification reference. It is issued only after the required coursework and assessment are completed, giving you formal proof of finishing the Uncodemy Data Science program.
Along with the certificate, learners also receive the practical work completed during the program. This includes assignments and projects built using the Data Science tools covered in the curriculum, such as Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Generative AI. The capstone project gives students a chance to apply what they have learned to a real-world problem.
The Data Science course in Mangalore 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 Mangalore and the wider Mangalore and Delhi-NCR region. Our courses are built for beginners, graduates, freshers and working professionals who want practical, job-relevant skills instead of theory alone.
In this Data Science program, learners work with Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Generative AI and MLOps while completing projects based on real datasets. The training focuses on how businesses actually use data — identifying patterns, building models, generating predictions and supporting decisions — so learners can do the work, not just explain it. You can read the full module-by-module curriculum before enrolling.
Along with training, Uncodemy provides instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What this support includes — and what it does not — is clearly explained 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 Mangalore and Karnataka learners. Data Science and Data Analytics share several foundational modules, but they lead to different roles, so it is useful to compare both curricula before making a decision.
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 professionals who teach this course
Live online sessions for Mangalore learners are conducted by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, with 15+ years of experience in Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also reviewed and approved the curriculum shown on this page.
Uncodemy keeps two roles separate, which is something many institutes combine. Trainers lead the live sessions, while domain reviewers — independent specialists who do not teach the batch — check that the curriculum is technically accurate and up to date. For this program, the technical content is reviewed by Upendra Kumar Tiwari, which means the person teaching the course is not the only one validating its quality.
Every trainer and domain reviewer associated with Uncodemy is published by name, along with their area of expertise and background — you can review their profiles before enrolling 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.
Join Uncodemy's Data Science Training for Mangalore learners today! Build practical Data Science skills through instructor-led live sessions, real projects, hands-on assignments and structured career preparation. Kickstart 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 Mangalore's healthcare, banking or education sector | This program |
| Remote or Indore/Pune/Bengaluru analytics role | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
You complete the program across 8–9 months with 150+ learning hours delivered over 90+ live sessions. Live online batches run on both weekday and weekend schedules for Mangalore learners.
Yes, no coding background is expected. The first month covers Python fundamentals and Excel from absolute scratch; SQL is introduced only once you are comfortable with basic Python.
You will use 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 dedicates 10 hours to Generative AI, LLMs and prompt engineering, covering AI-assisted coding, validating AI output, data-privacy boundaries and responsible day-to-day usage.
You finish five guided projects across retail, banking, HR, e-commerce and healthcare domains, plus one capstone project of your choice. All six go into a portfolio you can present to interviewers.
All 90+ sessions are live and instructor-led. Recordings are shared after each class for revision, and live online and classroom batches cover the exact same syllabus.
The program fee is ₹21,500 plus 18% GST, which makes the total payable ₹25,370. This includes every session, study material, project, certification and career-support service — nothing extra. EMI starts from ₹4,622/month over 6 months.
Yes — EMI starts from ₹4,622 per month across a 6-month tenure. The exact amount, tenure and eligibility depend on the payment or financing plan you select, and your counsellor will confirm the final option.
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.
We deliver dedicated career and placement assistance: resume building, LinkedIn optimisation, portfolio review, interview prep, mock interviews and opportunity sharing across our 850+ company network. We do not guarantee employment as hiring decisions rest with employers.
Yes, freshers regularly enter entry-level roles. Employers expect working Python, SQL, at least one ML project and a portfolio — this program is designed to deliver exactly that. Indicative entry-level Data Scientist salaries in Mangalore and Karnataka are ₹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 Mangalore roles in pharma, engineering, healthcare and education typically sit in the middle of each band, while Indore, Pune, Bengaluru and Delhi NCR roles generally 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 start as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline is welcome. No prior coding or analytics background is needed. Final-year students, working professionals and career changers all qualify.
All figures come from Uncodemy's internal records and publicly available review-platform information. Ratings and review counts can change. Placement and salary outcomes vary by learner, skills, experience, location, employer and market. Career and placement assistance is not a guarantee of employment or a specific salary. EMI terms are subject to applicable payment or financing conditions.
There is no physical Uncodemy centre in Mangalore. 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 Mangalore learners pick live online for convenience.
Mangalore learners join our live online batches that carry the identical syllabus, trainers and projects as classroom. There is no physical Uncodemy centre in Mangalore; the nearest classroom centres are in Delhi and Noida. Most Mangalore-based learners choose live online for convenience — it removes the need to travel and lets you learn from the same trainers and curriculum from home.
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