Data Science, AI & Analytics
Best Data Science Training in Hyderabad
A data science course covering statistics, hypothesis testing, supervised and unsupervised machine learning, time series, text analytics and visualisation with Tableau. Take the Data Science course in Hyderabad at our Madhapur classroom, or join Data Science online training in Hyderabad with live, trainer-led classes.
- Training modes
- Live online · Classroom (Madhapur) · Corporate
- Curriculum
- 10 modules, 81 topics
- Before you enroll
- Free demo session with the trainer
- Missed a class?
- Recorded sessions and other live batches
What is Data Science?
Data science is the practice of turning raw data into decisions using statistics, programming and machine learning. A data scientist cleans and explores data, builds predictive models and explains the results to the business.
Where Data Science is used
Predicting customer churn
Banks and retailers use logistic regression and classification models to identify customers likely to leave so they can act early.
Forecasting sales and demand
Time series models such as ARIMA help businesses forecast revenue and demand for planning and inventory.
Customer segmentation
Clustering methods group customers by behaviour so marketing teams can target each segment differently.
Classifying text
Naive Bayes and text processing techniques sort emails, reviews or support tickets into categories automatically.
Common in
- Banking & finance
- Retail & e-commerce
- Telecom
- Healthcare
- Manufacturing
- Insurance
Why it matters now
Why learn Data Science in 2026
Data-driven decisions everywhere
Organisations across sectors use statistical models to forecast, segment customers and manage risk, and need people who can build and explain them.
Statistics underpins AI
A solid grounding in probability, hypothesis testing and regression makes it far easier to understand and evaluate machine learning and AI systems.
Explaining results to business
Skills in validating models and interpreting outputs such as lift charts and decile analysis remain valued because businesses need results they can trust.
Who this course is for
- Graduates aiming for a first analytics or data science role
- Software developers moving into machine learning
- Business and data analysts who want to build predictive models
- Professionals from engineering, finance or research backgrounds
Before you start
- Comfort with school-level maths
- Basic computer skills
Tools and technologies you will use
- R
- Tableau
- Linear and logistic regression
- Random Forest
- PCA
- K-means clustering
- ARIMA
- Naive Bayes
What you will be able to do
- Describe data with statistics and probability distributions
- Test hypotheses and measure covariance and correlation
- Build supervised models for regression and classification, and reduce variables
- Find patterns with unsupervised techniques such as clustering
- Forecast with time series analysis and analyse text data
- Present findings visually in Tableau
Data Science training institute in Hyderabad
Looking for the best Data Science training in Hyderabad? RS Trainings is a Data Science training institute in Hyderabad where trainers with industry experience teach every batch live, with real-time case studies and practice server access, so you get hands-on with R, Tableau, Linear and logistic regression and Random Forest.
Our Data Science course in Hyderabad follows a 10-module syllabus with 81 topics, and every batch includes class recordings, resume build-up and interview preparation. You can attend a free demo with the trainer before you enroll.
Data Science training center in Hyderabad
- Classroom batches in Madhapur, Hi-Tech City
- Weekday and weekend batch timings
- Practice server access for hands-on work
- Course material in soft and hard copy
Data Science online training in Hyderabad
- Live, trainer-led classes over video conferencing
- Recordings of every session for revision
- Join from anywhere in India, the USA or abroad
- 24/7 learner support
Whether you join a classroom batch at our Data Science training center in Hyderabad or learn through Data Science online training in Hyderabad, you follow the same syllabus with the same trainers. Our aim is simple: the best Data Science training in Hyderabad – practical, job-focused and supported until you are interview-ready.
Data Science curriculum
10 modules · 81 topics
1 Descriptive Statistics and Probability Distributions: 9 topics
- Introduction about Statistics
- Different Types of Variables
- Measures of Central Tendency with examples
- Measures of Dispersion
- Probability & Distributions
- Probability Basics
- Binomial Distribution and its properties
- Poisson distribution and its properties
- Normal distribution and its properties
2 Inferential Statistics and Testing of Hypothesis 4 topics
- Sampling methods
- Different methods of estimation
- Testing of Hypothesis & Tests
- Analysis of Variance
3 Covariance & Correlation 5 topics
- Data Preparation
- Exploratory Data analysis
- Model Development
- Model Validation
- Model Implementation
4 Supervised Techniques: 22 topics
- Linear Regression - Introduction - Applications
- Assumptions of Linear Regression
- Building Linear Regression Model
- Understanding standard metrics (Variable significance, R-square/Adjusted R-Square, Global hypothesis etc)
- Validation of Linear Regression Models (Re running Vs. Scoring)
- Standard Business Outputs (Decile Analysis, Error distribution (histogram), Model equation, drivers etc)
- Interpretation of Results - Business Validation - Implementation on new data
- Real time case study of Manufacturing and Telecom Industry to estimate the future revenue using the models
- Linear Regression Vs. Logistic Regression Vs. Generalized Linear Models
- Building Logistic Regression Model
- Understanding standard model metrics (Concordance, Variable significance, Hosmer Lemeshov Test, Gini, KS, Misclassification etc)
- Validation of Logistic Regression Models (Re running Vs. Scoring)
- Standard Business Outputs (Decile Analysis, ROC Curve)
- Probability Cut-offs, Lift charts, Model equation, drivers etc)
- Interpretation of Results - Business Validation - Implementation on new data
- Real time case study to Predict the Churn customers in the Banking and Retail industry
- Partial Least square Regression - Introduction - Applications
- Difference between Linear Regression and Partial Least Square Regression
- Building PLS Model
- Understanding standard metrics (Variable significance, R-square/Adjusted R-Square, Global hypothesis etc)
- Interpretation of Results - Business Validation - Implementation on new data
- Sharing the real time example to identify the key factors which are driving the Revenue
5 Variable Reduction Techniques 5 topics
- Assumptions of PCA
- Working Mechanism of PCA
- Types of Rotations
- Standardization
- Positives and Negatives of PCA
6 Supervised Techniques Classification: 11 topics
- Decision tree vs. Random Forest
- Data Preparation
- Missing data imputation
- Outlier detection
- Handling imbalance data
- Random Record selection
- Random Forest R parameters
- Random Variable selection
- Optimal number of variables selection
- Calculating Out Of Bag (OOB) error rate
- Calculating Out of Bag Predictions
7 Unsupervised Techniques: 8 topics
- Need for segmentation
- Criterion of segmentation
- Types of distances
- Clustering algorithms
- Hierarchical clustering
- K-means clustering
- Deciding number of clusters
- Case study
8 Time series Analysis: 6 topics
- Averages,
- Smoothening etc
- AR Models,
- ARIMA
- UCM
- ->> Hybrid Model
9 Text Analytics 11 topics
- Assumptions and of Naïve Bayes
- Processing of Text data
- Handling Standard and Text data
- Building Naïve Bayes Model
- Understanding standard model metrics
- Validation of the Models (Re running Vs. Scoring)
- Goal Setting
- Text Preprocessing
- Parsing the content
- Text refinement
- Analysis and Scoring
10 Visualization Using Tableau: 0 topics
Career path after Data Science
-
Step 1
Data Analyst
-
Step 2
Junior Data Scientist
-
Step 3
Data Scientist
-
Step 4
Senior Data Scientist
Roles this course prepares you for
- Data Scientist
- Data Analyst
- Machine Learning Engineer (entry level)
- Business Analyst (analytics)
Typical progression in the industry. Your path depends on your experience and projects.
Frequently asked questions
Do I need to know programming before learning data science?
Not to start. The course builds from statistics up. Comfort with spreadsheets and school-level maths makes the early weeks easier; ask the trainer in your demo which language the current batch uses.
What is the difference between data science and data analytics?
Data analytics mainly describes what happened using reports and dashboards. Data science also predicts what is likely to happen, using statistical and machine learning models.
What topics does this data science course cover?
Descriptive and inferential statistics, hypothesis testing, correlation, supervised and unsupervised machine learning, variable reduction, time series, text analytics and Tableau visualisation.
Which is the best Data Science training institute in Hyderabad?
RS Trainings in Madhapur, Hi-Tech City is a Data Science training institute in Hyderabad offering live, trainer-led classes, real-time case studies, practice server access and interview preparation. Attend a free demo to see the teaching style before you decide.
Where is your Data Science training center in Hyderabad?
Our Data Science training center in Hyderabad is at #402, Nukala Residency, Madhapur, Hi-Tech City, Hyderabad 500081. Please call +91 90526 99906 before you visit.
Do you offer Data Science online training in Hyderabad?
Yes. Our Data Science online training in Hyderabad runs as live, trainer-led classes that you can join from anywhere, and session recordings are available so you can revise later.
How long is the Data Science course in Hyderabad?
The Data Science course in Hyderabad covers 10 modules and 81 topics. The duration depends on the batch you choose, so ask a counsellor for the current timings.
What makes RS Trainings the best Data Science training in Hyderabad?
Live, trainer-led classes, a practical syllabus with real-time case studies, practice server access, recordings of every session, and resume and interview preparation – plus a free demo so you can judge for yourself.
What if i miss a class?
You will never miss a class at RS Trainings! You can choose either of the two options
- You can go through the recorded session of the missed class and the class presentation that are available for online viewing through the LMS.
- You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.
Does RS Training provide any support sessions if I have difficulty in any topics ?
- Our backend team would be available 24*7 to answer your queries on mail. If in case your query remains unanswered , then we can bring a solution to it by organizing a personal session with our trainer.
- We would assist your queries even after the training is completed and that is the best part of our services.
- RS Trainings team will always be available to resolve your doubts at any point of time.
- However, please understand that we are not into job placements.
Can I attend a demo session before enrollment?
- We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible.
- However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.
What Modes of Training does RS Trainings offers ?
- RS Trainings fundamentally offers you classroom and online training sessions Based on Courses. We are also engaged in Corporate trainings for business enterprises. To check the quality of the training, you may review our sample demo sessions .
What if I have more queries?
- You can Call us at +91 9052 699 906 OR Email us at contact@rstrainings.com. We shall be glad to assist you.