Data Science Training in Marathahalli

5/5

Infibee Technologies offers India’s No.1 Data Science Training in OMR with global certification and 100% placement guidance.

KickStart your career with Data Science Course in OMR is guided by 12+ years of Industry experienced experts through practical sessions, live projects, hands-on exercises, and work-aligned assignments that match today’s industry expectations. Our Course offer affordable fees, mock projects, resume preparation, interview coaching, placement training, dedicated career support and receive lifetime access through recorded classes.

Join our Data Science Training Institute in OMR and ignite your Data Science career future with high-paying jobs in top companies.

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25 hrs of E-Learning Videos
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Data Science Course in OMR Overview

Infibee Technologies, a leading IT training institute offering industry-oriented certification course. Data Science is one of the fastest-growing fields around, it helps companies make data based decisions through analytics, machine learning and artificial intelligence. During this Data Science Training in OMR, students get hands-on experience with real-world datasets, along with projects that feel practical. When you complete Data Science Training in OMR Certification, your job prospects in top IT companies.

Now the Data Science Training in OMR Certification Training in OMR is built to help students pick up skills that are really in demand, like data analysis, Python programming, statistics , machine learning models and even data visualization techniques. The whole structure is made to match today’s industry needs and to prepare learners for real-time job roles . Our Data Science Training in OMR Course covers the full cycle of handling data, from data collection, to cleaning, to processing, then modeling and finally deployment.

Topics Covered Applications Tools Used
Python, R Programming Business Analytics Python, R Studio
Machine Learning Healthcare Predictions Scikit-learn
Data Visualization Finance & Banking Tableau, Power BI
Deep Learning Image Recognition TensorFlow, Keras
Big Data Processing E-commerce Analytics Hadoop, Spark

Why Choose Infibee Technologies for Data Science Training in OMR?

  • Industry expert trainers
  • Real-time project experience
  • Placement assistance support
  • Affordable Data Science Training in OMR training fees
  • Flexible online and offline batches
  • Lifetime access to learning materials

Best Data Science Training in OMR Institute – Infibee Technologies

Located at the heart of OMR, Infibee Technologies is recognized as India’s BestData Science Training in OMR Training in OMR Institutes, and yes it is all about delivering high quality education, plus career oriented training courses. We try to bridge that awkward gap between academic knowledge and what the industry actually expects. Our Data Science Training in OMR industry expert trainers walk students through every stage of learning, so they can become job-ready professionals.

Our Data Science Training in OMR Course is built on a structured curriculum , which usually covers Python programming, machine learning, deep learning, statistics and real time project implementation. During training , students get practical experience with industry datasets. Along the way there are real-time projects, case studies, and that kind of hands-on labs for real practical exposure. It also shows that you can untangle real-world business problems through data-led approaches.

Our Data Science Training in OMR usually covers Python programming and also touches the more basic statistical foundations, then goes into machine learning algorithms, data visualization tools, and finally big data analytics. Learners tend to also study things like data cleaning, then building models, predictive analysis, plus deployment techniques.  The certification is broadly recognized by IT companies, which means candidates can unlock better, high-paying roles more easily.

Certification Providing

Our Data Science Training in OMR Certification at Infibee Technologies, confirms your know-how in data analysis, machine learning, and AI fundamentals.  Once this Data Science Training in OMR is completed, students get an industry-recognized certificate, that supports professional trustworthiness and helps career movement within the data science arena.

Our Alumni Are Hired by Top MNC Companies

  • Tata Consultancy Services
  • Infosys
  • Wipro
  • Accenture
  • Cognizant
  • Capgemini
  • IBM
  • HCLTech

Modes of Full Stack Developer Training at Infibee Technologies

  • Classroom Training
  • Online Training
  • Corporate Training
  • Weekend Training
  • Fast Track Training
  • One-to-One Training

Global Data Science Certifications & Cost Table

S.No Certification Code Cost (INR) Validity
1 IBM Data Science Professional 15,000 3 Years
2 Google Data Analytics Certificate 18,000 3 Years
3 Microsoft Data Scientist Associate 20,000 2 Years
4 AWS Data Analytics Certification 22,000 3 Years

Benefits of Learning Data Science Training in OMR

  • High salary career opportunities
  • Strong demand across industries
  • Skill in AI and Machine Learning
  • Real-time project experience
  • Better decision-making skills
  • Global certification advantage

What You’ll Learn

  • Python & R programming
  • Data preprocessing techniques
  • Machine learning algorithms
  • Data visualization tools
  • Deep learning concepts
  • Big data technologies
  • Model deployment techniques

Who Can Join?

  • Fresh graduates
  • Software engineers
  • IT professionals
  • Business analysts
  • Career switchers
  • Students interested in AI & ML

Career Opportunities in Data Science Training in OMR

Freshers / Junior (0–3 years)

  • Data Science Trainee: 3–5 LPA
  • Junior Data Analyst: 4–6 LPA
  • AI Support Engineer: 4–5.5 LPA

Mid-Level (4–8 years)

  • Data Scientist: 8–15 LPA
  • Machine Learning Engineer: 10–18 LPA
  • Data Analytics Specialist: 8–14 LPA

Senior (9+ years)

  • Senior Data Scientist: 18–30 LPA
  • AI Architect: 25–40 LPA
  • Data Science Consultant: 20–35 LPA

Specialized Roles Table

Role Salary Range
Data Science Security Specialist 12–18 LPA
AI & ML Expert 15–25 LPA
Big Data Architect 20–35 LPA

Who’s Hiring Data Science Professionals?

  • Google
  • Amazon
  • Microsoft
  • TCS
  • Infosys
  • Accenture
  • IBM
  • Wipro

Can I Study Data Science Training in Other Locations?

Yes! Infibee Technologies offers Data Science Training in OMR Training across India:

  • Data Science Training in Anna Nagar
  • Data Science Training in Velachery
  • Data Science Training in Thiruvanmiyur
  • Data Science Training in Tambaram
  • Data Science Training in T-Nagar
  • Data Science Training in Porur

With expert mentors, practical training, and placement support, Infibee remains the No.1 choice for Data Science Training in OMR aspirants across India.

How to Register for Data Science Training in OMR

Step 1: Register for Free Demo
Visit our website and fill out the inquiry form to attend a free demo session.

Step 2: Select Training Mode
Choose online, offline, or corporate training based on your preference.

Step 3: Start Learning Journey
Begin your Data Science Training in OMR Course with expert guidance, real-time projects, and certification preparation.

Enroll Today – Unlock Your Data Science Career!

Join Data Science Training in OMR at Infibee Technologies, the most trusted Data Science Training in OMR Institute offering industry-oriented learning, expert mentorship, and 100% placement support.

With affordable Data Science Training in OMR course fees, hands-on training, and globally recognized certification, Infibee Technologies is your gateway to a successful data science career.

Enroll now in Data Science Training in OMR Training in OMR and build your future in AI, ML, and analytics!

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Why People Choose Infibee ?

Upcoming Data Science Batches In OMR

15-06-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
10-06-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
12-06-2026
Sat-SunWeekend Batch
09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session
Can't find a batch? Pick your own schedule

Data Science Course Syllabus

Join our Best Data Science Training in OMR! Our syllabus covers foundational data analysis, statistical techniques, machine learning algorithms, and advanced topics like predictive modelling. Engage in hands-on projects guided by industry experts, gaining practical experience to analyse data and derive meaningful insights in this developing tech hub. Ideal for both beginners and experienced professionals seeking to upskill in data science. Unlock your potential in Data Science with our syllabus designed to move your career forward.

 

  • Introduction to Data Science
  • Significance of Data Science
  • R Programming basics
  • Python Introduction
  • Indentations in Python
  • Python data types and operators
  • Python Functions
  • Data Structures Overview
  • Identifying the Data Structures
  • Allocating values to the Data Structures
  • Data Manipulation Significance
  • Dplyr Package and performing different data manipulation operations
  • Introduction to Data Visualisation
  • Various kinds of graphs, Graphics grammar
  • Ggplot2 package
  • Multivariant analysis by using geom_boxplot
  • Univariant analysis
  • Histogram, barplot, multivariate distribution, and density plot
  • Bar plots for the categorical variables through geop_bar() and the theme() layer
  • Statistics Importance
  • Statistics classification, Statistical terminology
  • Data types, Probability types, measures of speed, and central tendency
  • Covariance and Correlation, Binary and Normal distribution
  • Data Sampling, Confidence, and Significance levels
  • Hypothesis Test and Parametric testing
  • Machine Learning Fundamentals
  • Supervised Learning, Classification in Supervised Learning
  • Linear Regression and mathematical concepts related to linear regression
  • Classification Algorithms, Ensemble Learning techniques
  • Logistic Regression Introduction
  • Logistic vs Linear Regression, Poisson Regression
  • Bivariate Logistic Regression, math related to logistic regression
  • Multivariate Logistic Regression
  • Building Logistic Models
  • False and true positive rate
  • Real-time applications of Logistic Regression
  • Classification Techniques
  • Decision Tree Induction Algorithm
  • Implementation of Random Forest in R
  • Differences between classification tree and regression tree
  • Naive Bayes, SVM
  • Entropy, Gini Index, Information Gain
  • Clustering, K-means clustering, Canopy Clustering, and Hierarchical Clustering
  • Unsupervised learning, Clustering algorithm, K-means clustering algorithm
  • K-means theoretical concepts, k-means process flow, and K-means implementation
  • Implementing Historical Clustering in R
  • PCA(Principal Component Analysis) Implementation in R
  • DoS/DDoS Concepts
  • Botnets
  • DoS/DDoS Attack Techniques
  • DDoS Case Study
  • DoS/DDoS Countermeasures
  • Natural language processing and Text mining basics
  • Significance and use-cases of text mining
  • NPL working with text mining, Language Toolkit(NLTK)
  • Text Mining: pre-processing, text-classification and cleaning
  • Numpy Basics
  • Numpy Mathematical Functions
  • Probability Basics and Notation
  • Correlation and Regression
  • Joint Probabilities
  • Bayes Theorem
  • Conditional Probability, sum rule, and product rule
  • Scipy Introduction and characteristics
  • Integrate, Cluster, Signal, Fftpack, and Bayes Theorem
  • Pyspark basics
  • Uses and Need of pyspark
  • Pyspark installation
  • Advantages of pyspark over MapReduce
  • Pyspark applications
  • Machine Learning effect on Artificial Intelligence
  • Deep Learning Basics, Working of Deep Learning
  • Regression and Classification in the Supervised Learning
  • Association and Clustering in unsupervised learning
  • Basics of Artificial Intelligence and Neural Networks
  • Supervised Learning in Neural Networks, multi-layer network
  • Deep Neural Networks, Convolutional Neural Networks
  • Reinforcement Learning
  • Recurrent Neural Networks, Deep learning graphics processing unit
  • Deep Learning Applications, Time series modeling
  • Tensorflow Basics and Tensorflow open-source libraries
  • Deep Learning Models and Tensor Processing Unit(TPU)
  • Graph Visualisation, keras
  • Keras neural-network
  • Define and Composing multi-complex output models through Keras
  • Batch normalization, Functional and Sequential composition
  • Implementing Keras with tensorboard
  • Implementing neural networks through TensorFlow API
  • Basics of Autoencoders and rbm
  • Implementing RBM for the deep neural networks
  • Autoencoders features and applications
  • Big Data and Hadoop Basics
  • Hadoop Architecture, HDFS
  • MapReduce Framework and Pig
  • Hive and HBase
  • Basics of Scala and Functional Programming
  • Kafka basics, Kafka Architecture
  • Kafka cluster and Integrating Kafka with Flume
  • Introduction to Spark
  • Spark RDD Operations, writing spark programs
  • Spark Transformations, Spark streaming introduction
  • Spark streaming Architecture, Spark Streaming Features
  • Structured streaming Architecture, Dstreams, and Spark Graphx
  • Data Visualisation Basics
  • Data Visualisation Applications
  • Tableau Installation and Interface
  • Tableau Data Types, Data Preparation
  • Tableau Architecture
  • Getting Started with Tableau
  • Creating sets, Metadata and Data Blending
  • Arranging visual and data analytics
  • Mapping, Expressions, and Calculations
  • Parameters and Tableau prep
  • Stories, Dashboards, and Filters
  • Graphs, charts
  • Integrating Tableau with Hadoop and R
  • MongoDB and NoSQL Basics
  • MongoDB Installation
  • Significance of NoSQL
  • CRUD Operations
  • Data Modeling and Management
  • Data Indexing and Administration
  • Data Aggregation Schema
  • MongoDB Security
  • Collaborating with Unstructured Data
  • Understanding Common Interview Questions for Data Science Developers
  • Tips for Successful Interviewing
  • Behavioral Interviews and Technical Assessments
  • Mock Interview Practice and Feedback
  • Resume Writing Tips for Data Science Developers
  • Creating a Strong Developer Portfolio
  • Leveraging Online Platforms for Networking (LinkedIn, GitHub)
  • Strategies for Job Search and Building a Personal Brand
  • Overview of Job Portals and Platforms
  • Creating and Optimizing Profiles on Job Portals
  • Searching for Data Science Developer Positions
  • Understanding Job Descriptions and Requirements
  • Tailoring Resumes and Cover Letters for Specific Job Applications
  • Application Strategies and Follow-Up Etiquette
  • Handling Multiple Job Offers and Negotiating Salaries
  • Keeping Updated with Industry Trends and Continuous Learning
Need customized curriculum?
Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On Data Science Projects

Enroll in our Data Science Course in OMR, where our course focuses on providing high-quality training with a strong foundation in core concepts and a practical approach. Through exposure to current industry use cases and scenarios, participants will enhance their skills and gain the ability to execute real-time projects using best practices.

Predictive Sales Analysis:

Develop a predictive model that forecasts future sales based on historical sales data, market trends, and other relevant factors. Use regression analysis or time series forecasting techniques to predict sales figures accurately.

Recommendation System

Develop a recommendation system that suggests personalised recommendations (e.g., products, movies, articles) to users based on their preferences and past interactions. Use collaborative filtering or content-based filtering techniques to generate recommendations and enhance the user experience.

Credit Risk Analysis:

Build a credit risk analysis model to assess the creditworthiness of loan applicants and predict the likelihood of default. Analyse applicant data, credit history, and other relevant factors to make informed lending decisions and manage credit risk effectively.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training
"Leading Companies We've Served"
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Our Instructor
Name
Mr. Seetha Mahadevan
Experience
6+ Years
Specialized in
Statistical Analysis,Machine Learning,Data Wrangling,Data VisualizationBig Data Technologies, Powe BI, Hadoop, Tablue
More Details
Seetha Mahadevan is a experienced Data Science instructor with extensive industry experience. With a background in data analytics and machine learning, Seetha brings practical insights and expertise to her training sessions. Her engaging teaching style and real-world examples make complex data science concepts accessible to learners.

Data Science Course Training Objectives

Our Placement- Oriented Data Science training in OMR aims to empower participants with complete skills and practical knowledge in this field. Objectives provide you with mastering core concepts, applying skills through real-world projects, critical thinking, and ensuring professional challenges. This enhances career development and contributes to industry advancement.

  • The demand for data scientists with the necessary data science abilities is rising quickly due to the growing need for data-driven solutions for corporate organisations.
  • You can study skills related to data science, machine learning, data structures, storytelling, artificial intelligence, Power BI, and more with the help of this online training programme. With this qualification, you may advance your career in this rapidly changing field and get more recognition.

Data scientists specialise in extracting insights from complex and unstructured data using advanced statistical and machine learning techniques. Business analysts focus on analysing business data to provide actionable insights and support decision-making processes within organisations. Data analysts primarily work on analysing structured data to uncover trends, patterns, and insights that drive business decisions and strategies.

It has only been two years since the world began to take notice of the data science profession. The majority of businesses are finding it difficult to narrow the demand-supply gap for precisely this reason. As a result, candidates who have received training and have some exposure to data analytics approaches are hired right away.

Because it is open-source, easy to use, and simple to learn, Python is the most preferred and widely used programming language for data science applications. Its dynamic nature also allows it to support a wide range of use cases. Other data science languages include R and SQL in addition to that.

A lot of MNC’s businesses employ data scientists. Among them are Walmart, Target, Visa, Bank of America, Amazon, Google, IBM, Facebook, Microsoft, Accenture, and Fractal Analytics, to name a few. Enrolling in a data science course would provide access to all of these organisations’ chances.

Data science and artificial intelligence are related, although they have diverse uses. While artificial intelligence (AI) focuses on building systems that can carry out tasks without explicit programming, data science concentrates on gaining insights from data. Both have worth in the tech industry.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum
Get on-field knowledge and skills from our expert instructors.
Assessment
Upgrade your on-field skills with our assessments and track your progress in real time.
Hands-on Project
Our hands-on project help you gain experience in real-time working.
Certification Guidance
A global certificate always helps you stand out from the crowd.
Portfolio Building
Experts guide you to maximise your profile with current industry trends that employers expect.
Placment Cell
We promote your abilities and showcase your portfolio to employers.

Data Science Career Opportunity

Data Science is the most common programming language, and it works on all computers and mobile devices without needing to be upgraded. It is one of the highest-paying careers in the software development industry, and those with the Data Science certification can earn an average of 10 LPA per year.

Annual Pay Scale
Placement Designation
Employers
Annual Salary
Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.
Muthu krishnan
I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.
Pranali
I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.
Yuvaraj
The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.
Lavanya
I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.
Madhaiyan Madhan

Data Science Training FAQ's

Infibee Data Science Training In OMR offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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