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Read More →Mysore learners can enrol in Uncodemy's Data Science with Generative AI — an 8–9 month, instructor-led program spanning Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. Sessions run live online, and learners relocating to Delhi NCR can also attend classroom batches at our Delhi and Noida centres. Real projects, session recordings and career support are all included. Fee: ₹21,500 + GST (₹25,370 total).
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 Uncodemy's Data Science training pick up practical skills across Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau and Gen AI. With training and career prep done, eligible candidates can then apply for 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 merges statistics, programming and domain know-how to turn raw data into insight and forward-looking predictions. It spans data collection and cleaning, model-building and evaluation, and clear communication of findings. Businesses rely on it to decode customer behaviour, forecast demand, detect fraud, personalise recommendations and automate decisions that were once manual.
What does a data scientist do? Day to day, a data scientist pulls data from databases and business systems, cleans and explores it, then builds and evaluates machine learning models before translating the results into business recommendations. A typical week involves writing Python and SQL, tuning models, walking stakeholders through metrics, and monitoring or deploying models already running in production.
Data analytics explains what already happened and why. Data science takes the next step, predicting what's likely to come. Business analytics stays focused 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 Mysore unfolds over 8–9 months and 90+ live sessions, delivering 150+ learning hours through eleven modules that layer progressively — Python, SQL, statistics, data cleaning and EDA, machine learning, deep learning, NLP, Power BI and Tableau, Generative AI and MLOps — including a dedicated module on how AI tools fit into real data science work. Every module carries practical exercises on real datasets, and the program closes with capstone projects that become your portfolio. Mysore learners attend live online sessions from home, and classroom access is available at Delhi and Noida centres for those relocating to Delhi NCR.
Who should join this course:
Eligibility: A graduate degree in any discipline. No prior programming experience is required — Python and SQL are taught from the first line of code. Comfort with basic mathematics is helpful but 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.
You can pick a batch schedule that fits around your day-to-day commitments. A free demo class is available if you want to experience the teaching first, or you can go directly into an upcoming weekend or weekday live batch — both formats are set up with flexible timings for students and working professionals, and combine live instruction with hands-on training. Live online batches are open to all.
| Date | Time | Trainer | Seats Left |
|---|---|---|---|
| 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 |
| 19Oct | 07:30 PM – 08:30 PM | Mr. Upendra Kumar Tiwari | 02Seats |
| 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.
Across eleven modules and 150+ learning hours, the syllabus mirrors the actual workflow of a data scientist — pull the data, clean it, analyse it, build models, ship them, then explain the results. Each module wraps up with a graded hands-on assignment on a live dataset, and the closing module pulls everything together into portfolio-ready work.
| # | 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 | |
On completing all eleven modules, the assignments and the capstone project, learners receive the Uncodemy Data Science Program Certificate. It documents the program name, duration, tools covered and completion date, along with a verification reference — and is issued only once the required coursework and assessment have been cleared.
The certificate arrives together with the practical work you complete during the program. Learners work on assignments and projects with the Data Science tools from the curriculum — Python, SQL, statistics, machine learning, deep learning, Power BI, Tableau and Gen AI — and the capstone project lets you apply everything you've covered in training.
The Data Science course in Mysore 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
Excel
Power BI
Tableau
ChatGPT
CopilotUncodemy, operated by Uncodemy Edutech Pvt. Ltd., is a career-focused IT training institute with classroom centres in Delhi and Noida and live online classes serving learners throughout India, including Mysore and the wider Karnataka region. The courses are crafted for beginners, graduates, freshers and working professionals who want practical, job-ready skills rather than theory-heavy teaching.
Through this Data Science program, learners gain hands-on exposure to Python, SQL, statistics, machine learning, deep learning, NLP, Power BI, Tableau, Gen AI and MLOps, and complete projects on real datasets throughout. The training is oriented around how businesses actually use data — spotting trends, building models, producing predictions and supporting decisions — so learners leave able to do the work, not just describe it. You can review the full module-by-module curriculum before enrolling.
Beyond the training itself, Uncodemy offers instructor-led sessions, practical assignments, project-based learning, interview preparation and career support. What that support covers — and what it doesn't — is laid out in our career support policy, along with the eligibility conditions published prior to enrolment rather than after payment.
If a different direction appeals, Uncodemy also runs Data Analytics, Business Analyst, machine learning course and Artificial intelligence training course for Mysore and Karnataka learners. Data Science and Data Analytics share several foundational modules but lead to different roles, so it's 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 batches for Mysore learners are taught by Upendra Kumar Tiwari, Senior Data Science Trainer at Uncodemy, who brings 15+ years of experience spanning Data Science, Data Analytics, Machine Learning, Deep Learning, AutoML, ML on Cloud and NLP. He also served as the reviewer for the curriculum on this page.
Unlike most institutes, Uncodemy keeps the trainer role separate from the reviewer role. Trainers deliver live sessions; domain reviewers — independent specialists who don't teach the batch — verify that the curriculum remains technically accurate and up to date. Upendra Kumar Tiwari acts as the technical reviewer for this program, ensuring course content isn't self-certified by the person delivering it.
Every trainer and domain reviewer working with Uncodemy is published by name, along with their domain and background — so checking credentials is possible before enrolment, not just 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.
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.
Kick off your Data Science journey with Uncodemy in Mysore today. The program blends instructor-led training, live projects, graded assignments and structured career preparation, so you finish with working Data Science skills you can put into practice.
| 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 |
| Mysore IT services / BPO analytics role | This program |
| Remote / Bengaluru analytics career | This program |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
Expect around 8–9 months to complete the program, which packs 150+ learning hours into 90+ live sessions. Weekday and weekend batches are both on offer, in live online mode.
Yes — no coding background is needed to begin. The first month focuses on Python fundamentals and Excel, and SQL is taught from scratch, so beginners settle in comfortably.
Across the course you'll use Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow/Keras, Power BI, Tableau, Matplotlib, Seaborn, Jupyter, Google Colab, ChatGPT, Copilot and MLflow — 15+ tools in total.
Yes — Module 9 dedicates 10 hours to Generative AI, LLMs and prompt engineering, including AI-assisted coding, model evaluation, RAG basics and how to sanity-check AI output.
You'll complete five guided projects — retail, banking, HR, e-commerce and healthcare — plus one capstone of your own. Together they become a portfolio you can show in interviews.
All 90+ sessions are live and led by an instructor. Recordings stay available afterwards for revision, and the live online and classroom tracks cover the exact same syllabus.
The course fee is ₹21,500 plus 18% GST, bringing the total to ₹25,370. That includes sessions, materials, projects, certification and career support — no additional charges. EMI starts at ₹4,622/month over 6 months.
Yes — EMI begins at ₹4,622 per month over 6 months. Actual amount, tenure and eligibility vary by the financing option you select, and a counsellor can help you pick the right plan.
Yes — a free live online demo is available before you commit. It's a good way to see the trainer's teaching style and review the curriculum in advance of deciding.
Dedicated career and placement support is included — resume building, LinkedIn optimisation, portfolio review, interview preparation, mock interviews and openings shared through our 850+ company network. We don't promise employment, as hiring decisions remain with employers.
Yes — entry-level roles are accessible to freshers. What employers want is working Python and SQL, one ML project and a portfolio, and this program is designed to deliver exactly that. Entry-level Data Scientist pay in India sits indicatively at ₹4–8 LPA, with Bengaluru and metro roles often landing at the higher end.
Indicatively, ₹4–8 LPA at entry, ₹8–15 LPA at mid-level and ₹12–20+ LPA for senior roles. Mysore salaries tend to sit toward the lower part of these bands, but remote roles and Bengaluru positions (roughly 150 km away) often pay closer to metro levels. 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 learners begin as a Data Analyst or Junior Data Scientist.
Any graduate from any discipline qualifies — no prior coding or analytics experience necessary. Final-year students, working professionals and career changers are all welcome to apply.
The figures come from Uncodemy's internal records and publicly visible review-platform data, both of which can change with time. Salary and placement outcomes vary with each learner's skills, experience, location, employer and market conditions. Career assistance is not a guarantee of employment or of any specific salary package, and EMI terms depend on applicable financing conditions.
Mysore doesn't have a physical Uncodemy centre. Learners from Mysore enrol in the live online batches, which follow the same syllabus, trainers and projects as classroom. The nearest classroom centres are our Delhi and Noida centres for those travelling or relocating to Delhi NCR.
Mysore doesn't have a physical Uncodemy centre yet, so learners here join the live online batches — same syllabus, same trainers, same projects as classroom. If you're relocating to Delhi NCR or visiting often, our Delhi and Noida centres are open for in-person sessions. Most Mysore learners stick with live online through the full program and only visit a centre occasionally for a demo or a doubt-clearing session.
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