Data Science Training in Mysore (Mysuru) – Python, Machine Learning, Deep Learning & Generative AI

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SoftPro9 runs Data Science with Machine Learning & AI training from our classroom on New Kantharaj Urs Road, Saraswathipuram, with the same batches streamed live online for learners across Mysuru, Mandya and Nanjangud.

  • Covers: Python, Jupyter, NumPy, pandas, SQL, Matplotlib, Seaborn, Plotly and more
  • Mode: Classroom in Saraswathipuram, live online, or hybrid
  • New batches: Every Monday and Thursday; IST slots 7 AM / 7:30 PM / 9 PM
  • Duration: 24–28 weeks at 10–12 hours a week, including a capstone project
  • Fee: The current fee is listed on the Data Science with Machine Learning & AI course page: /course/data-science-course. Any optional cloud ML exam (DP-100, AWS ML) is optional and paid directly to the exam provider.
  • Batch size: Up to 15 learners
  • Practice: GPU-enabled cloud notebooks and your own GitHub portfolio, available 24/7

Last updated: 28 October 2026

Data Science course in Mysore: basic to advanced

Most data science roles open to Mysuru learners are hybrid with Bangalore companies, so we prepare you for their interview format. The course is split into three levels. You can join at the level that matches your experience after a short assessment at counselling.

Basic

Python, maths and data handling

  • Python for data science in Jupyter and VS Code
  • NumPy arrays and vectorised operations
  • pandas: loading, cleaning, joining, reshaping and grouping data
  • Descriptive statistics, probability and distributions
  • Linear algebra and calculus intuition for ML (no heavy proofs)
  • SQL for data scientists: joins, aggregations, window functions
  • Visualisation with Matplotlib, Seaborn and Plotly

Mysore practice: Tourism seasonality, Dasara peak included, in forecasting and dashboards.

Intermediate

Machine learning

  • Exploratory data analysis and feature engineering
  • Hypothesis testing and A/B test design
  • Regression: linear, regularised (Ridge/Lasso)
  • Classification: logistic regression, decision trees, random forests
  • Gradient boosting with XGBoost and LightGBM
  • Unsupervised learning: k-means, DBSCAN, PCA
  • Model evaluation, cross-validation, imbalanced data, scikit-learn pipelines
  • Time-series forecasting: ARIMA, Prophet and feature-based models

Mysore practice: Kannada text and bilingual UI exercises.

Advanced

Deep learning, generative AI and MLOps

  • Neural networks with PyTorch and TensorFlow/Keras
  • Computer vision: CNNs and transfer learning
  • NLP: text processing, embeddings and transformers with Hugging Face
  • Generative AI: prompt design, LLM APIs, RAG with vector databases, evaluation
  • Model explainability with SHAP and responsible-AI checks
  • MLOps: MLflow tracking, FastAPI model serving, Docker, monitoring
  • Apps with Streamlit; intro to AWS SageMaker and Azure ML
  • Big data intro: PySpark and Databricks

Mysore practice: UPI and payment-gateway flows tested in sandbox mode.

Who joins from Mysore

  • Graduates of Mysuru engineering and science colleges preparing for Bangalore drives
  • Hybrid workers living in Mysuru and working for Bangalore companies
  • Staff at Hebbal Industrial Area firms who want to automate reporting

Roles it typically leads to in Mysore

  • Data scientist
  • Machine-learning engineer
  • AI / GenAI engineer
  • Applied scientist / research analyst
  • Decision scientist

Freshers usually start in junior or support versions of these roles.

Data Science with Machine Learning & AI – full course details and fee →

Tools you will use

Every tool below is used hands-on in class or in a project, not just mentioned on a slide.

  • Python
  • Jupyter
  • NumPy
  • pandas
  • SQL
  • Matplotlib
  • Seaborn
  • Plotly
  • scikit-learn
  • XGBoost
  • LightGBM
  • statsmodels
  • Prophet
  • PyTorch
  • TensorFlow / Keras
  • Hugging Face
  • LangChain
  • vector databases
  • SHAP
  • MLflow
  • FastAPI
  • Streamlit
  • Docker
  • PySpark
  • Databricks
  • AWS SageMaker
  • Git & GitHub

Projects you will build

  1. A customer-churn model with feature engineering, explainability and a business write-up

  2. A demand-forecasting model compared against a simple baseline

  3. A document question-answering assistant built with RAG and evaluated on real questions

  4. A capstone deployed as an API and Streamlit app, with experiment tracking in MLflow

  5. Mysore project: A forecast of Dasara-season visitor numbers from historical tourism data, using data and conventions from Mysore.

Upcoming Mysore Data Science batches

New batches start every Monday and Thursday, with no more than 15 learners in each. Weekday class slots in IST: 7 AM / 7:30 PM / 9 PM. Weekend slots: 10:30 AM / 10:30 PM.

Students tend to pick weekend classroom batches at Saraswathipuram; working learners take the 7:30 PM slot in person or online and catch up from recordings during exam or shift weeks.

Start dateCourseModeBatch size
Thu, 29 Oct 2026Data Science (all levels)Classroom + live onlineUp to 15
Mon, 2 Nov 2026Data Science (all levels)Classroom + live onlineUp to 15
Thu, 5 Nov 2026Data Science (all levels)Classroom + live onlineUp to 15
Mon, 9 Nov 2026Data Science (all levels)Classroom + live onlineUp to 15

Message us with the start date and slot you want, and we will confirm your seat.

Reserve on WhatsApp

Data science in brief

Data science uses statistics, programming and machine learning to answer questions and make predictions from data: which customers will churn, how much stock to order, whether a transaction looks fraudulent. A data scientist frames the question, prepares the data, builds and evaluates models, and explains the result to people who will act on it.

The field now overlaps heavily with AI engineering, so alongside classic machine learning (scikit-learn, XGBoost) we cover deep learning with PyTorch, natural language processing with Hugging Face transformers, building on large language models with retrieval-augmented generation (RAG), and the MLOps needed to put a model into production.

Data science vs data analytics vs business analytics

The three fields share tools and are often confused in job titles. The simplest way to tell them apart is by the question each one answers.

AspectData AnalyticsBusiness AnalyticsData Science
Main questionWhat happened, and why?What should the business do?What will happen, and can we automate the decision?
FocusCleaning data, reporting, dashboardsTurning analysis into business decisions and plansPredictive models, machine learning and AI
Core toolsExcel, SQL, Power BI, TableauExcel, SQL, Power BI, forecasting, BRDs and process mapsPython, statistics, scikit-learn, PyTorch, MLOps
Maths neededBasic statisticsBusiness statistics and forecastingStatistics, linear algebra and probability
CodingLow (SQL, some Python)Low (SQL, light Python)High (Python every day)
Typical outputDashboards and reportsRecommendations, business cases, requirement documentsModels, predictions and AI features
Typical first rolesData analyst, MIS analyst, Power BI developerBusiness analyst, BI analyst, strategy analystJunior data scientist, ML engineer
Best starting point forAnyone new to data, any degreeMBA, BBA and commerce graduates, managersEngineering, maths and statistics graduates, developers
Course length here14–16 weeks14–16 weeks24–28 weeks

Which should you choose? If you are new to data, start with Data Analytics: it is the foundation the other two build on. Choose Business Analytics if you enjoy the business side and want to influence decisions. Choose Data Science if you like programming and maths and want to build predictive models.

Compare:Data Analytics training in MysoreBusiness Analytics training in Mysore

Why data science skills matter in Mysore

Mysuru has a growing IT and IT-enabled services base around Hebbal Industrial Area and Hootagalli, a large student population, and a lower cost of living that draws remote workers from Bangalore. Many learners here aim for remote or hybrid roles with Bangalore companies, or for jobs at the IT and engineering firms already in the city.

Who hires in Mysore

  • IT and ITeS campuses

    Hebbal Industrial Area and Hootagalli host software, engineering-services and BPM operations that recruit graduates locally.

  • Manufacturing

    Automotive, electronics and tyre plants in the Hebbal and Nanjangud industrial areas, where analytics and automation roles are growing.

  • Remote and hybrid Bangalore roles

    Bangalore startups and GCCs increasingly hire hybrid staff based in Mysuru, about three hours away by road or rail.

  • Tourism and heritage businesses

    Hotels, travel operators and handicraft sellers who need websites, booking systems and sales reporting.

Local context you will work with

Generic courses use generic datasets, and interviewers notice. Our exercises include:

  • Datasets in Indian formats: ₹ with lakh/crore grouping, PIN codes and GSTINs
  • Tourism seasonality, Dasara peak included, in forecasting and dashboards
  • Kannada text and bilingual UI exercises
  • UPI and payment-gateway flows tested in sandbox mode
  • Indian fiscal year (April–March) reporting

How to choose the right Data Science track

Your backgroundStart withWhy
Engineering / maths / statistics graduateFull courseThe maths will feel familiar; the tooling is what you need
Data / business analystML modules, then deep learningYou already know SQL and the business; add prediction
Software developerML basics, then GenAI and MLOpsAI engineering roles value your production skills
Commerce / non-technical graduateData Analytics firstBuild SQL, Excel and statistics before ML
Domain expert (finance, healthcare, supply chain)Full course with a domain capstoneDomain knowledge is what makes models useful

Common pairings: Data Science + Data Analytics (if you are starting without SQL or statistics), Data Science + Python (if you are new to programming), and Data Science + Web Development (for AI-product roles). Learn one course well before adding a second.

From course to first role: a realistic path

  1. Master the python, maths and data handling before moving on.

  2. Build and publish your projects, including the Mysore capstone.

  3. Apply for entry roles such as data scientist or machine-learning engineer with employers like the it and ites campuses above.

Honest note: freshers usually start in junior or trainee roles, and salaries in Mysore vary too widely for a headline figure. Ask us which openings we are seeing.

Data Science certification: what we cover and what we issue

Data science has no single official certification. Cloud vendors run optional role exams such as Microsoft Azure Data Scientist Associate (DP-100) and AWS Certified Machine Learning, paid directly to the vendor and not part of our fee; we point out which modules map to them. SoftPro9 issues a course completion certificate. Hiring managers look mainly at your projects and how clearly you explain them.

What to check before choosing a Data Science institute in Mysore

  • A 2026 syllabus: look for Streamlit, Docker, PySpark, Databricks, not only the basics.

  • Projects on your own accounts, a trainer you can meet first, and a published fee with nothing hidden.

  • No "global certification" or "100% placement" claims: vendors run their own exams, and nobody can promise a job.

How our Data Science classes work

  • Classroom at Saraswathipuram

    Batches are taught live from our Saraswathipuram centre. Learners within commuting distance attend in person, and anyone can drop in for doubt-clearing during opening hours.

  • Live, with recordings and reviews

    Live sessions in IST, recordings for revision, and project reviews from the trainer. GPU-enabled cloud notebooks and your own GitHub portfolio, available 24/7.

  • Interview preparation

    Mock interviews, resume reviews and referrals to Mysore and remote openings we hear about. We do not guarantee a job.

Data Science training across Mysore: which option suits your area

AreaApprox. distance from SaraswathipuramMost learners choose
Saraswathipuram, Kuvempunagar0–2 kmClassroom
Jayalakshmipuram, VV Mohalla, Gokulam3–4 kmClassroom
Vijayanagar, Chamarajapuram, Agrahara4–5 kmClassroom or hybrid
Hebbal Industrial Area, Hootagalli7–9 kmHybrid, evening classroom or online
Srirangapatna, Nanjangud18–25 kmWeekend classroom or online
MandyaAbout 45 kmOnline

Distances are approximate road distances from our Saraswathipuram centre. Check your own route on Google Maps at your class time.

Visit our Mysore centre

SoftPro9 IT Services – Mysore
849, New Kantharaj Urs Road, Kuvempunagara North, Saraswathipuram, Mysuru, Karnataka – 570009

Phone: +91 95354 51414
Email: mys@softpro9.com

Getting here

We are on New Kantharaj Urs Road in Saraswathipuram, close to Kuvempunagar and the University of Mysore campus. City buses on Kantharaj Urs Road stop nearby.

Opening hours

Monday–Friday 9:30 AM–7:30 PM · Saturday 9:30 AM–3:30 PM · Sunday closed

Get directions
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Data Science training in Mysore: frequently asked questions

How much does Data Science training cost in Mysore?

The current training fee is listed on the Data Science with Machine Learning & AI course page: /course/data-science-course. It covers live classes, the practice environment, projects and interview preparation. Any optional cloud ML exam (DP-100, AWS ML) is optional, not included, and paid directly to the exam provider.

Do I need to be good at maths?

You need school-level maths and a willingness to learn. We teach the statistics, linear algebra and calculus ideas ML relies on, with intuition and code rather than proofs.

Is generative AI included?

Yes. You work with LLM APIs, build a retrieval-augmented generation (RAG) assistant, and learn how to evaluate it, alongside classic ML.

What is the difference between data science and data analytics?

Data analytics explains what happened and why, using SQL, Excel and BI tools. Data science predicts what will happen and builds models. If you are new to data, analytics is the easier start.

Do I need a GPU laptop?

No. Deep-learning work runs in GPU-enabled cloud notebooks we provide during the course.

Is there a classroom in Mysore?

Yes. Our Mysore centre is at 849, New Kantharaj Urs Road, Saraswathipuram. Classroom and hybrid batches run there, and the same batches are streamed live online.

Will I get help applying to Bangalore companies?

Yes. Interview preparation, resume reviews and referrals to openings we hear about cover Bangalore and remote roles, though we do not guarantee placement.

When does the next batch start?

New Data Science batches start every Monday and Thursday. See the batch table on this page for the next dates and IST class slots.

Do you guarantee placement?

No. We provide interview preparation, resume help and referrals to openings we hear about in Mysore, but no institute can honestly guarantee a job.

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Talk to us about your Data Science course

Tell us your degree, your current job (if any) and where in Mysore you are. We will suggest a track and a batch that fits.

Chat on WhatsAppCall +91 95354 51414