Data Science Training in Hyderabad
Data Science 100% Placement Support
Learn Python, SQL, statistics, machine learning, deep learning and Generative AI — and deploy your models — in a 100-day program with real-time projects, in Ameerpet or live online.
G4.7★★★★★on Google 5000+ students trained- Duration
- 100 Days
- Mode
- Live Online & Classroom
- Batches
- Weekday & Weekend
- Hands-on
- 3 real-time projects
Quick Enquiry
Get a free demo session today!
Data Science with AI Training in Hyderabad — Overview
Data science today is more than charts and reports. Companies want people who can clean data with Python and SQL, build machine learning and deep learning models, use Generative AI where it helps, and put a working model in front of users. Our Data Science Training in Hyderabad is built around exactly that — a 100-day program that takes you from Python basics to deployed AI applications.
- Interview support & resume preparation
- Interview referrals until you get placed
- Real-time job support after you join a company
Course highlights
- Python, SQL & statisticsThe data foundations every data scientist uses daily.
- Machine learning to deep learningScikit-learn, XGBoost, PyTorch and TensorFlow on real datasets.
- Generative AI & LLMsTransformers, LangChain and RAG apps built in Python.
- Deploy what you buildStreamlit, FastAPI, Docker and MLflow, plus 3 real-time projects.
Skills you’ll learn
VR IT Solutions is the best data science training institute in Hyderabad for learners who want hands-on practice rather than theory alone. Classes run at our Ameerpet centre and as data science online training, with the same trainer, syllabus and projects in both — and our data science training and placement support continues after the course ends. To see how the classes work, book a free demo class.
Data Science Real-Time Projects (2026) — From Raw Data to Deployed App
In our data science training and placement program, you do not stop at a notebook. Each project goes from raw data to a working app or API, the way data science is done at work. Here is how the three real-time projects flow, step by step.
Customer Churn Prediction
- Customer datatelecom usage & billing
- Clean & EDAPandas, SQL, Seaborn
- Featurestenure, usage, complaints
- XGBoost modeltuned with Optuna
- ExplainSHAP: why customers leave
- Streamlit appchurn risk per customer
You predict which customers are likely to leave, explain the main reasons with SHAP and give the business team a simple Streamlit app to check churn risk for any customer.
Sales Demand Forecasting
- Sales historystore & product level
- Time featuresholidays, seasonality
- BaselineARIMA / Prophet
- ML forecastLightGBM with lag features
- EvaluateMAPE on hold-out months
- FastAPI + Dockerforecast API
You forecast product demand for the next months, compare classical and ML forecasting models, and serve the best model as an API that a planning team can call.
Gen AI Document Q&A Chatbot
- Documentspolicies, manuals, reports
- Chunk & embedtext → vectors
- Vector DBFAISS / Chroma
- Retrievebest matching chunks
- LLM answerwith sources, via LangChain
- Chat appStreamlit chat UI
You build a RAG chatbot that answers questions from a company's own documents with sources, and learn how to test answer quality before showing it to users.
During the course you also work on smaller use cases — customer segmentation, A/B test analysis, image classification with transfer learning and text classification with transformers.
Why Learn Data Science with AI in 2026?
Every business now collects more data than it can use. The people who can turn that data into predictions, forecasts and AI-powered tools are the ones companies are hiring — in banking, healthcare, retail, e-commerce, logistics and technology. Generative AI has not replaced data scientists; it has raised the bar. Employers now look for data scientists who know classic machine learning, understand deep learning, and can also build with large language models.
That is why this course covers the full modern stack: data science with Python, statistics, machine learning, deep learning, transformers and Generative AI, finishing with MLOps so you can deploy what you build. The good news is that data science does not need a formal degree — strong basics in maths and a willingness to practise are enough to start.
Who Should Join This Data Science Course in Hyderabad?
Our Data Science course in Hyderabad welcomes learners from varied backgrounds. You do not need to be a programming expert to get started. The course suits:
- Fresh graduates from B.Tech, B.Sc, MCA, MBA or commerce backgrounds
- Data analysts and business analysts moving into data science roles
- Software developers and testers switching to data and AI careers
- Working professionals in finance, marketing or operations who work with data
- Managers and team leads who want to understand ML and AI projects
- Anyone who wants to learn data science with AI from the basics, step by step
Prerequisites for Data Science Training
One of the most common questions we get at our Ameerpet centre is — “do I need to know programming before joining?” The answer is no. Our data science online training in Hyderabad is structured to start from the basics and build up progressively. That said, the following background helps:
- Basic mathematics — Class 12 level statistics and algebra is sufficient
- Any exposure to programming — even basic Excel or SQL is helpful, not mandatory
- Curiosity about working with data and drawing insights from numbers
- No prior experience with Python needed — it is covered from scratch in the course
Our trainers adjust the pace based on the batch, so no one gets left behind.
Data Science Course Syllabus (2026)
Last updated: October 2026
- What data science means in 2026: data, machine learning and Generative AI working together
- Data science project lifecycle, from business problem to deployed model
- Roles explained: Data Analyst, Data Scientist, ML Engineer and AI Engineer
- Tool setup: Jupyter Notebook, VS Code and Google Colab
- Git and GitHub basics for data projects
- Using AI coding assistants the right way while you learn
- Data types, variables, operators and control flow
- Lists, tuples, dictionaries, sets and comprehensions
- Functions, lambda functions, modules and packages
- Object-oriented programming basics
- Exception handling and working with files (CSV, JSON, Excel)
- Calling REST APIs from Python with requests
- NumPy arrays, broadcasting and vectorised operations
- Pandas DataFrames: filtering, groupby, merge, join and pivot
- Data cleaning: missing values, duplicates, outliers and data types
- Working with dates and time-series data
- SQL for data science: SELECT, JOIN, GROUP BY and window functions
- Reading database tables into Pandas
- EDA workflow on a real business dataset
- Charts with Matplotlib and Seaborn
- Interactive charts with Plotly
- Finding patterns, skew, correlations and class imbalance
- Data storytelling: an EDA report a manager can read
- Descriptive statistics: mean, median, variance and standard deviation
- Probability and distributions: normal, binomial and Poisson
- Sampling, central limit theorem and confidence intervals
- Hypothesis testing: t-test, chi-square test and ANOVA
- Correlation vs causation
- A/B testing for product and marketing decisions
- Linear and polynomial regression with Ridge and Lasso
- Logistic regression, KNN and Support Vector Machines
- Decision Trees and Random Forest
- Gradient boosting with XGBoost, LightGBM and CatBoost
- Feature engineering and Scikit-learn Pipelines
- Cross-validation and hyperparameter tuning with GridSearchCV and Optuna
- Metrics: RMSE, R², precision, recall, F1 and ROC-AUC
- Handling imbalanced data and explaining models with SHAP
- K-Means, hierarchical clustering and DBSCAN
- PCA for dimensionality reduction
- Anomaly detection with Isolation Forest
- Customer segmentation case study
- Time series components: trend, seasonality and cycles
- Forecasting with ARIMA, SARIMA, Prophet and ML models
- Forecast accuracy: MAPE and RMSE
- Neural networks, activation functions, backpropagation and optimisers
- Building models in PyTorch
- Building models with TensorFlow and Keras
- CNNs for image classification
- Transfer learning with pre-trained models
- RNN and LSTM for sequence data
- Controlling overfitting: dropout, early stopping and augmentation
- Text cleaning and tokenisation
- Word and sentence embeddings
- How transformers and attention work, in simple terms
- Hugging Face pipelines for text classification and summarisation
- Fine-tuning a small pre-trained model
- Semantic search with embeddings
- How large language models work
- Prompt engineering for data and analytics tasks
- Calling LLM APIs (OpenAI, Gemini, Claude) from Python
- Building LLM apps with LangChain
- RAG (Retrieval-Augmented Generation) with a vector database (FAISS / Chroma)
- AI agents and tool calling basics
- Evaluating LLM output and responsible AI
- Saving and loading models
- Building data apps with Streamlit
- Building a prediction API with FastAPI
- Packaging with Docker
- Experiment tracking with MLflow
- Deploying to the cloud: AWS, Azure and GCP options
- Monitoring models after deployment
- End-to-end capstone from raw data to a deployed app
- GitHub portfolio and project write-ups
- Resume and LinkedIn profile for data science roles
- Interview questions: Python, SQL, statistics, ML and case studies
- Mock interviews with feedback
Note: The syllabus listed above is indicative and may include more topics for comprehensive learning. Every module is supported by hands-on practice on real datasets.
Best Data Science Training Institute in Hyderabad — Why VR IT Solutions?
Practical Sessions
Every theory session is followed by hands-on practice on real datasets, with time to work at your own pace and get your doubts cleared.
Real-Time Projects
You build churn prediction, demand forecasting and a Gen AI chatbot — projects you can show on GitHub and explain confidently in interviews.
Experienced Faculty
Our trainers are working data science and AI professionals who teach from real project experience, not just slides.
Complete in 100 Days
The full program — Python to Generative AI and deployment — is completed in 100 days, with weekday and weekend batches to suit your schedule.
Updated for 2026
The curriculum is reviewed regularly. This version adds deep learning with PyTorch, transformers, LLMs, RAG and MLOps, so you learn what employers ask for today.
Placement Support
Our Data Science Training and Placement Support in Hyderabad includes portfolio building, resume preparation, mock interviews and referrals to companies hiring data science professionals.
Data Science Course Fee in Hyderabad
VR IT Solutions keeps the data science course fee in Hyderabad reasonable and transparent. The fee covers the full 100-day program — Python, SQL, Statistics, Machine Learning, Deep Learning, Generative AI, MLOps and three real-time projects — with no hidden charges after enrolment.
EMI options are available for students who prefer to split the payment. We also run periodic batch discounts. Call us at +91-9032734343 or visit our Ameerpet centre to get the current fee details and check for any ongoing offers. Corporate and group enrolments are handled separately — reach out directly for a customised quote.
Data Science Training and Placement in Hyderabad
Our data science course in Hyderabad Ameerpet with placements is taught at our Ameerpet centre and live online. Many of our students come from Kukatpally and KPHB — there is no separate KPHB branch, so they either take the metro to Ameerpet for classroom sessions or join the data science online course from home. The trainer, projects and placement support are the same in both.
When you compare data science institutes in Hyderabad, look past the brochure. Ask how much time you will spend writing Python, how many real datasets you will work on, whether you will deploy a model, and who will help you after the course ends. In our data science training and placement program you work through Python, SQL, statistics, machine learning, deep learning and Generative AI, and finish with three projects you can explain in interviews.
Placement support includes resume building, LinkedIn and GitHub portfolio reviews, mock interviews and referrals to analytics, product and AI companies — one of the reasons students choose us as the best data science training institute in Hyderabad.
Career Opportunities After Data Science Training in Hyderabad
The job market for data science professionals in Hyderabad keeps expanding — BFSI, healthcare, e-commerce, manufacturing and tech product companies are all hiring people who can work with data and AI. After completing our data science course in Hyderabad, students typically move into roles such as:
- Data Scientist — building predictive models and generating business insights
- Data Analyst — working with SQL and Python to find trends and patterns
- Machine Learning Engineer — developing and deploying ML models in production
- AI Engineer / Gen AI Developer — building LLM and RAG applications
- Business Intelligence Analyst — turning data into dashboards and decisions
- Python Developer (Data) — building data pipelines and automation scripts
Entry-level data scientists in India typically earn between 5 and 12 LPA. With 3 to 5 years of project experience and a strong portfolio, professionals commonly move into the 18 to 40 LPA range in product companies and analytics-focused organizations.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleHi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
VR IT Solutions is one of the best training center for Clinical SAS in Hyderabad.I recently completed SAS training at VR IT Solutions, and it was an excellent experience...
The course covered Base SAS, SQL, Macros, and SDTM/ADaM mapping basics, especially for advanced topics like SAS Macros, making complex concepts easy to understand. which are extremely valuable for anyone aiming to build a career in Clinical SAS programming.
I highly recommend VR IT Solutions to anyone looking to build or advance their SAS career.
Data Science course notes
1 module · 28 pages of notes, prepared by our trainers. Students read them online after logging in, along with interview questions and real-time scenarios.
Preparing for Data Science interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 41+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
Data Science Online Training in USA, UK & Canada
Looking for Data Science online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.
- USAEST & PST evening slots
- UKGMT / BST slots
- CanadaEST & CST slots
- WeekendSat & Sun, all time zones
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
Data Science Training FAQs | VR IT Solutions
Data Science is the discipline of extracting meaningful insights from large and complex datasets using statistics, machine learning, deep learning and programming. Finance, healthcare, e-commerce, logistics, and technology companies are all hiring data scientists because data-driven decision making has become a core competitive advantage.
The training covers Python, NumPy, Pandas, SQL for Data Science, EDA and visualization, Statistics, Machine Learning with Scikit-learn and XGBoost, Time Series forecasting, Deep Learning with PyTorch and TensorFlow, Transformers, Generative AI with LangChain and RAG, MLOps with Streamlit, FastAPI, Docker and MLflow, and real-time capstone projects.
No prior programming experience is needed. Our trainers start from Python basics and build your skills progressively toward advanced machine learning, deep learning and AI concepts. Students from mathematics, statistics, commerce, and engineering backgrounds have all completed this program successfully.
The Data Science training is completed in 100 days. Morning, evening, and weekend batch options are available, live online or at our Ameerpet centre.
Yes. You build three real-time projects: customer churn prediction with XGBoost and a Streamlit app, sales demand forecasting served as a FastAPI service, and a Gen AI document Q&A chatbot using RAG with LangChain.
You can pursue roles like Data Scientist, Data Analyst, Machine Learning Engineer, AI Engineer, Business Intelligence Analyst, and Gen AI Developer. These roles exist across virtually every industry and continue to grow as more companies adopt data and AI.
Yes. Our data science training and placement support includes portfolio building, resume preparation, mock data science interviews and referrals to companies hiring data science professionals.
Entry-level data scientists in India typically earn between 5 and 12 LPA. With 3 to 5 years of project experience and a strong portfolio, professionals commonly move into the 18 to 40 LPA range in product companies and analytics-focused organizations.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343