Elearn Infotech
Madhapur, Hyderabad · Classroom & Online

Data Science Course in Hyderabad

Data is now an important part of how businesses make decisions, improve products, understand customers, and solve everyday problems. If you are looking for a Data Science Course in Hyderabad, Elearn Infotech offers a practical learning path designed for students, fresh graduates, working professionals, and learners who want to move into data-related careers. Conveniently located in Madhapur (easily accessible from Gachibowli, Kondapur, KPHB and Ameerpet), this program is built for real progress, not just certificates.

Our Data Science training in Hyderabad combines programming, statistics, data analysis, and machine learning, along with practical assignments and real-time projects. Students can learn through classroom or online sessions and receive guidance from experienced trainers throughout their learning journey.

The aim is not simply to complete a syllabus. It is to help you understand how data science is used in real projects and how to apply what you learn with confidence — backed by 100% placement assistance to help you build practical confidence, not just theoretical knowledge.

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ISO 9001:2015
Certified
Startup India
Recognized
12+ Years
Experience
45,000+
Students Trained
3 MonthsStructured training
3+1Real-time projects
PythonProgramming & data handling
StatisticsFoundations for analysis
EDAExploratory data analysis
VizData visualization
MLMachine learning
Our Students Have Been Placed At

Data Science Course Highlights

Everything you need in one program — grouped into what you'll learn, how you'll practice, and how you'll get placement-ready.

Core Training & Tools

  • 3 months of structured training
  • Python for Data Science
  • NumPy & Pandas
  • Statistics for Data Science
  • Data cleaning & transformation

Hands-on Practice

  • Real-time projects
  • Exploratory Data Analysis
  • Data visualization
  • Machine learning models
  • Assignments & case studies

Career Readiness

  • Portfolio & capstone project
  • Expert mentorship
  • Resume preparation
  • Mock interviews
  • Placement assistance

Available in both classroom (Madhapur) and online learning formats.

WHY DATA SCIENCE

Why Learn Data Science?

Data Science brings together programming, statistics, data analysis, machine learning, and problem-solving. A Data Scientist may work with large datasets to identify patterns, create predictive models, support business decisions, or develop intelligent solutions.

Used across every industry

Data science skills are used across IT, banking and financial services, healthcare, e-commerce, retail, manufacturing, telecommunications, education, marketing, and product companies — opening several possible career paths.

Open to any background

A career in data science can also be suitable for people from different educational backgrounds. At Elearn Infotech, the program is designed for graduates, freshers, IT and non-IT professionals, and people planning a career transition.

Practice, not just theory

Becoming job-ready requires more than watching videos or learning definitions. You need to practise, work with data, and understand how different tools and techniques work together.

Not sure if data science is right for you?

Talk to a career advisor about your background, goals and the best learning path.

Talk to an advisor
CURRICULUM AT A GLANCE

What You'll Learn

Python is one of the most widely used programming languages in data-related work. The focus is on understanding it well enough to use for practical data tasks.

Python fundamentalsVariables and data types Conditional statementsLoops FunctionsLists, tuples, sets and dictionaries File handlingException handling Object-oriented programmingModules and packages Working with data using Python

Working with data requires the ability to organise, clean, transform, and analyse datasets using NumPy and Pandas.

NumPy fundamentalsPandas fundamentals Loading datasetsSelecting data Filtering recordsHandling missing values Removing duplicatesTransforming columns Grouping dataCombining datasets Performing basic analysis

Statistics helps Data Scientists understand data and make meaningful conclusions, applied directly while analysing data.

Mean, median and modeVariance Standard deviationProbability DistributionCorrelation Regression conceptsSampling Hypothesis testing

Before building a machine learning model, it's important to understand the dataset through Exploratory Data Analysis.

Understanding datasetsData cleaning Finding missing valuesIdentifying outliers Analysing relationshipsFinding patterns Creating visualisationsPreparing data for machine learning

A good analysis should be understandable to other people — learn to present data through charts and visualisations.

Bar chartsLine charts HistogramsScatter plots Distribution plotsCorrelation visualisation Dashboard conceptsData storytelling

Learn the fundamentals of machine learning and understand how models are trained, tested, evaluated, and improved.

Linear RegressionLogistic Regression Decision TreesRandom Forest ClassificationClustering & K-Means Dimensionality reduction conceptsModel evaluation metrics Overfitting & underfitting
MODULE BY MODULE

Detailed Data Science Course Curriculum

  • What is Data Science?
  • Data Science vs Data Analytics
  • Industries using data science
  • Data-driven decision making
  • Understanding real-world datasets
  • The data science workflow
  • Programming, statistics & ML overview
  • Career paths in data science

  • Python fundamentals
  • Variables and data types
  • Conditional statements
  • Loops
  • Functions
  • Lists, tuples, sets and dictionaries
  • File handling
  • Exception handling
  • Object-oriented programming
  • Modules and packages
  • Working with data using Python

  • NumPy arrays and operations
  • Pandas Series and DataFrames
  • Loading datasets
  • Selecting data
  • Filtering records
  • Handling missing values
  • Removing duplicates
  • Transforming columns
  • Grouping data
  • Combining datasets
  • Performing basic analysis

  • Mean, median and mode
  • Variance
  • Standard deviation
  • Probability
  • Distribution
  • Correlation
  • Regression concepts
  • Sampling
  • Hypothesis testing
  • Applying statistics to real data

  • Understanding datasets
  • Data cleaning
  • Finding missing values
  • Identifying outliers
  • Analysing relationships
  • Finding patterns
  • Creating visualisations
  • Preparing data for machine learning

  • Bar charts
  • Line charts
  • Histograms
  • Scatter plots
  • Distribution plots
  • Correlation visualisation
  • Dashboard concepts
  • Data storytelling

  • Introduction to machine learning
  • Linear Regression
  • Logistic Regression
  • Decision Trees
  • Random Forest
  • Classification
  • Regression
  • Training and testing data

  • Clustering
  • K-Means
  • Dimensionality reduction concepts
  • Identifying natural groupings in data
  • Applications of unsupervised learning

  • Evaluation metrics
  • Overfitting and underfitting
  • Model comparison
  • Improving model performance
  • Understanding when a model is useful

  • Understanding the problem
  • Collecting or receiving data
  • Cleaning the dataset
  • Exploring the data
  • Finding useful patterns
  • Building visualisations
  • Selecting an appropriate model
  • Training and evaluating the model
  • Interpreting the results
  • Presenting the findings

  • Python interview questions
  • Statistics interview questions
  • Machine learning interview questions
  • Project explanation practice
  • Resume preparation
  • Mock interviews
  • Communication skills

  • Dataset selection
  • Problem definition
  • Data preparation
  • Analysis
  • Visualization
  • Model building
  • Insight generation
  • Documentation
  • Presentation
  • Portfolio preparation
APPLY WHAT YOU LEARN

Real-Time Data Science Projects

The focus of project work is to help students apply Python, statistics, and machine learning to real-world-style datasets and demonstrate their analytical thinking.

PROJECT 1

Sales & Business Forecasting

Use historical business data to build a predictive model that estimates future sales or demand trends.

Tools: Python, Pandas, Regression models

Key Activities:

  • Clean and prepare historical data
  • Explore trends and seasonality
  • Build a regression-based prediction model
  • Evaluate model accuracy
  • Visualize predicted vs actual results
  • Present business recommendations
Skills Developed: Data cleaning, EDA, regression modelling, evaluation, visualization.
PROJECT 2

Customer Segmentation Analysis

Explore customer data to group customers into meaningful segments based on behaviour.

Tools: Python, Pandas, K-Means Clustering

Key Activities:

  • Clean customer datasets
  • Explore customer behaviour patterns
  • Apply clustering techniques
  • Interpret and label customer segments
  • Perform exploratory analysis
  • Build visual reports
  • Present actionable insights
Skills Developed: Python analytics, unsupervised learning, EDA, visualization, business interpretation.
PROJECT 3

Classification Model for Business Decisions

Build a classification model to predict an outcome such as customer churn or loan default.

Tools: Python, Scikit-learn, Logistic Regression / Decision Trees

Key Activities:

  • Prepare and clean the dataset
  • Perform exploratory data analysis
  • Train a classification model
  • Evaluate model performance
  • Interpret which factors matter most
  • Communicate findings to stakeholders
Skills Developed: Classification modelling, model evaluation, feature interpretation, data storytelling.

Capstone Project

End-to-End Data Science Project

The capstone brings together the major skills covered during the training.

You will start with a business problem and work through the complete data science process:

Understand problem Collect data Clean data Explore data Find patterns Build visualisations Select a model Train & evaluate Interpret results Present findings

The final project can become an important part of your portfolio and can also give you practical examples to discuss during interviews.

Build a portfolio you can talk about in interviews

3+1 real-time projects + a capstone, reviewed by mentors along the way.

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HOW YOU LEARN

Training Modes

CLASSROOM

Classroom Data Science Training in Madhapur (Near Gachibowli & Kondapur)

For students who prefer face-to-face learning, Elearn Infotech (Data Science Institute in Hyderabad) provides classroom-based training in Madhapur, Hyderabad, where you can interact directly with trainers, ask questions during sessions, and discuss project problems.

Classroom training includes practical exercises, project work, mentor guidance, assignments, and doubt-clearing support.

ONLINE (Live)

Data Science Online training

Not every student can attend classroom sessions every day. Our online data science learning option focuses on live, instructor-led learning rather than simply providing recorded videos.

You can interact with trainers, ask questions, practise concepts, and work on projects during the training, with recordings available through the LMS.

Both learning modes are designed to provide the same practical focus.

COURSE DURATION

3 Months of training

The Data Science program is structured to provide sufficient time for learning fundamentals, practising technical concepts, completing projects, and preparing for interviews. The current program duration is approximately 3 months.

The overall schedule may vary depending on the batch format and learning pace.

For the latest batch timings, contact Elearn Infotech or register for a demo class.

COURSE FEES

Depends on format & batch

The Data Science course fees in Hyderabad can vary significantly between training institutes, depending on duration, curriculum, mode, trainer experience, project exposure, and placement assistance.

Instead of selecting a course only because it is cheaper, compare what is actually included in the program.

For the current fee structure, available offers, installment options, and upcoming batches, contact the Elearn Infotech team directly.

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ELIGIBILITY

Who Can Join Our Data Science Course in Hyderabad?

The course is designed for a wide range of learners, including:

Freshers and recent graduatesData Science course for beginners Data Science course for non-IT studentsWorking professionals B.Tech graduatesB.Sc graduates B.Com graduatesBBA graduates BA graduatesIT professionals Non-IT professionalsProfessionals planning a career switch Perfect for freshers and professionals commuting from Hitech City, KPHB, Kukatpally, Ameerpet, Kondapur, Gachibowli, Jubilee Hills, and Banjara Hills.

You don't need to come from a computer science background to begin learning Data Science — a consistent learning routine matters more than trying to learn everything at once.

A COMMON WORRY

Do I Need Coding Experience?

No. You do not need to be an expert before starting.

Beginners can build their foundation step by step, starting with Python and gradually moving into data analysis and machine learning. The course introduces Python from the fundamentals, with a focus on its application in Data Science.

The focus is not on becoming a software developer. Instead, you learn the programming, statistics, and analytical concepts needed to work effectively with data.

GETTING HIRED

Data Science Course with Placement in Hyderabad

Learning technical skills is only one part of starting a career. Students also need to prepare for resumes, interviews, communication, and the recruitment process. Elearn Infotech provides Data Science Training in Hyderabad with placement assistance to eligible students as part of its career support approach.

Resume Preparation

Build a professional resume that highlights your Python, statistics, and machine learning skills, tools, and projects.

Mock Interviews

Practice answering technical and role-based questions in a simulated interview environment.

Job Opportunity Sharing

Get updates about relevant job opportunities and openings shared through the placement team.

Interview Preparation

Prepare for interviews covering Python, statistics, EDA, machine learning, projects, and business scenarios.

Career Guidance

Get guidance on building your portfolio, presenting projects, improving your interview skills, and approaching data science opportunities.

Placement assistance does not mean every student is automatically guaranteed a job. The final selection depends on technical skills, interview performance, communication, educational qualifications, experience, and company requirements.

WHERE IT LEADS

Career Opportunities After Data Science Training in Hyderabad

After developing the right skills and gaining practical experience, you can explore roles such as:

The exact role you should target depends on your education, skills, projects, experience, and career interests.

ON COMPLETION

Data Science Certification

After completing the required data science training and learning activities, students can receive a Data Science course completion certification from Elearn Infotech, subject to the applicable course requirements.

The certificate can be included on your resume and LinkedIn profile along with your project portfolio and technical skills.

When recruiters evaluate a candidate, your ability to explain your projects, solve problems, and demonstrate technical knowledge is often more important than simply having a certificate.

FROM THE CLASSROOM

Student Success at Elearn Infotech

Data Science Coaching becomes more meaningful when students can apply their learning after completing the program. Elearn Infotech has supported learners from different educational backgrounds and career stages.

Our student success stories include learners who have used technical training, practical projects, interview preparation, and career guidance to move toward new opportunities.

We encourage prospective students to look at genuine student experiences and understand the learning journey before choosing a course.

WHAT STUDENTS SAY

Reviews

“

The trainers explained Python, statistics, and machine learning with real-time examples. The placement team also helped me prepare for interviews.

“

The project work was completely hands-on. We worked with real datasets, built models, and presented our findings like a real analytics team.

“

I had no technical background, but the trainers explained every concept from basics to advanced in a simple way.

“

The mock interviews and resume guidance made a big difference when I started applying for Data Analyst roles.

QUESTIONS

Frequently Asked Questions

The right course depends on your background and career goal. Look for a program with a structured curriculum, experienced trainers, practical projects, interview preparation, and transparent placement assistance.

Yes. Freshers can learn Data Science if they are willing to develop programming, statistics, data analysis, and machine learning skills. Starting with Python fundamentals can make the learning journey easier.

Yes. Students from non-IT backgrounds can learn Data Science, but they should be prepared to learn programming and basic mathematical and statistical concepts.

Yes. Elearn Infotech provides online learning options for students who prefer live instructor-led training from home or another location.

Yes. Classroom Data Science Classes in Hyderabad are available at the Elearn Infotech training centre in Madhapur.

The current Elearn Infotech Data Science Program is approximately 3 months. The exact schedule and batch timings can vary, so students should confirm the current batch details before joining.

The program covers areas such as Python, data handling, statistics, exploratory data analysis, data visualisation, machine learning, practical exercises, projects, and interview preparation.

Yes. Practical project work is an important part of the learning approach. Students get opportunities to apply concepts to datasets and project scenarios.

Yes. Eligible students receive placement assistance and career support, including interview preparation, resume guidance, mock interviews, and relevant job opportunities.

Fees vary between institutes depending on the curriculum, duration, trainer experience, learning format, projects, and career support. Contact Elearn Infotech for the current course fee and batch details.

Yes. Students can choose Online Data Science Training if they prefer live learning from home. The important thing is to choose a program that provides trainer interaction, practical assignments, project guidance, and interview preparation.

Yes. Elearn Infotech offers Data Science training in both classroom and live online formats. Classroom sessions are conducted at our training centre in Madhapur, Hyderabad, while online students can attend live instructor-led sessions from home. Both modes include the same core curriculum, practical projects, assignments, and mentor guidance.

The Data Science Course Duration in Hyderabad at Elearn Infotech is approximately 3 months of structured learning. Fees depend on whether you choose classroom or online training, and flexible payment options are available. Contact our academic advisors for the Data Science Course fee, batch availability, and installment details.

Yes. The course is suitable for freshers, graduates, and learners from both IT and non-IT backgrounds. You do not need prior professional experience in Data Science. The training starts with Python and gradually covers data analysis, statistics, data visualization, and machine learning through practical exercises and projects.

Students who successfully complete the applicable course requirements receive a course completion certificate from Elearn Infotech. However, certification is only one part of career preparation. Practical skills, real-time projects, portfolio work, and interview readiness are equally important when applying for Data Science roles.
VISIT US

Our Data Science Training Institute in Madhapur, Hyderabad

Elearn Infotech

Elearn Infotech
Plot Number 40, Second Floor,
Vittal Rao Nagar,
Madhapur, Hyderabad,
Telangana – 500081

Phone: +91 9502991480

The institute is located in Madhapur and provides classroom as well as online training options.

STILL HAVE QUESTIONS?

Send us a message

Ask about batch timings, fees, or which mode fits your schedule — our team replies within a day.

Visit the centre

Plot 40, 2nd Floor, Vittal Rao Nagar, Madhapur, Hyderabad

Response time

Within 24 hours, on working days

Thanks for reaching out! We'll get back to you within 24 hours.

Start Your Data Science Journey with Elearn Infotech

Choosing a Data Science course is an important career decision. Before enrolling, understand the syllabus, meet the trainer if possible, attend a demo class, ask about projects, clarify the placement assistance process, and compare the learning options available to you.

Learn Python, statistics, exploratory data analysis, data visualization, and machine learning through a practical, project-focused training approach.

Whether you're a fresher looking for your first opportunity, a working professional planning a career change, or a beginner interested in data, speak with our team to understand whether Data Science is the right path for you.

Book a Free Demo Class

Learn Data Science. Build Practical Skills. Prepare for Your Career.

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