Data Science Online Course

5/5

Infibee Technologies offers the India’s No.1 Data Science Online Training with global certification and 100% Placement Guidance.

Master In-Demand Skills with Data Science Online Course is guided by 12+ years of industry experienced experts with affordable fees, hands-on mock projects, resume building, interview preparation, dedicated placement training and lifetime access to recorded live sessions. Whether you are a beginner or a professional seeking career growth, this course equips you with the essential skills needed to thrive in today’s tech-driven industry.

Join our Data Science Online Training Institute 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 Overview

Infibee Technologies ’ Data Science Online Course offers intermediate, to sort of advanced level training, which is meant to help students and working professionals build real-world skills in data analysis, statistical methods, machine learning, and data driven decision-making. In practice, people use Data Science for forecasting, customer analytics, fraud detection, recommendation systems, process optimization and risk analysis.

Introduction to Data Science

Data Science is a multidisciplinary field that blends statistics, programming, mathematics, analytics, and machine learning, to pull out meaningful takeaways from structured and unstructured data. Data Science supports organizations to grasp patterns, spot chances, resolve tricky business issues, and then move toward informed decisions. Data Scientists also play an important role in gathering, processing, analyzing, and interpreting data, for both business goals and technical objectives.

Purpose of the Data Science Course

This Data Science Online Training is meant to help learners build industry-relevant technical plus analytical abilities, but also kind of understand what happens in real life situations. Through hands-on practice and practical learning, students get a way to connect concepts with real-world problems. For working professionals, it gives a chance to strengthen existing skills and slowly pivot toward data-centric roles. Also, the amount of business data keep growing, and more companies are adopting AI, analytics, and automation so overall demand for Data Science people.

Importance, Industries & Future Scope

Data Science is used across a huge mix of fields like IT, banking and finance, healthcare, e-commerce, retail, manufacturing, telecommunications, logistics, education, and even marketing. Looking ahead, the future scope stays strong because organizations are relying more and more on data-driven plans, AI systems, machine learning work, and automation efforts. If someone develops Data Science skills, they can open doors in many different industries, along with new and changing technology jobs.

Data Science Course Topics Covered Applications of Data Science Tools & Technologies Used
Python Programming Data Analysis Python
Statistics & Probability Business Intelligence NumPy, Pandas
Data Cleaning & Preprocessing Predictive Analytics Matplotlib, Seaborn
Exploratory Data Analysis (EDA) Customer Analytics Jupyter Notebook
Data Visualization Fraud Detection SQL
Machine Learning Recommendation Systems Scikit-learn
Supervised & Unsupervised Learning Sales & Demand Forecasting TensorFlow / Keras
Feature Engineering Risk Analysis Power BI / Tableau
Model Evaluation & Optimization Healthcare Analytics Git & GitHub
Real-Time Data Science Projects Marketing & Operations Analytics Cloud & Data Tools

Why Choose Infibee Technologies for a Data Science Online Course?

Picking the right Data Science training institute matters a lot for working professionals who want to build practical analytical skills, and also to stay in step with the rapidly changing data and technology industry. Infibee Technologies offers a more industry-minded Data Science training, meant for learners who want to move from intermediate to advanced understanding through hands on practice, application focused sessions.

Key Highlights

  • Intermediate to Advanced-Level Training
  • Practical, Industry-Oriented Learning
  • Comprehensive Data Science Skills
  • Hands-On Project Exposure
  • Modern Tools & Technologies
  • Suitable for Working Professionals
  • Career-Focused Skill Development
  • Industry-Relevant Learning Approach

Best Data Science Online Training Institute – Get Certified with Infibee Technologies

Infibee Technologies is basically a leading Data Science Online Training Institute, it is located in the heart of Chennai, and it offers industry-focused Data Science training, with a big emphasis on hands on programming skills. There is also a strong focus on analytical techniques, practical usage in real scenarios, and learning through projects, though sometimes it feels more like guided work. The whole program is built so working professionals can sharpen their current technical abilities and also gather the know-how needed to work with data driven technologies.

Now, Infibee’s Data Science Training includes key topics like Python, statistics, data analysis, data visualization, SQL, machine learning, predictive analytics, and real time project work. The course sticks to a practical learning style, which helps learners get the concepts first, then apply them into real business situations. In the end it’s mostly about doing, revisiting, and then making sense of the outcomes.

Experienced Trainers

Learn from trainers with 12+ years of industry experience, bringing practical knowledge and real world insights into the training sessions. The trainers help learners navigate programming , data analysis, machine learning ideas, project execution, and those everyday problem-solving tricks.

Real-Time Project Exposure

Get the kind of, hands-on experience you only get through real-time projects, practical tasks, and industry oriented case studies. This project-based style of learning helps professionals see how Data Science methods can be applied to address business challenges and pull out insights that actually mean something.

Industry-Relevant Certification

Infibee Technologies offers a Data Science Course Certification after you successfully complete the required training. This credential can support learners in showing their progress and training growth as part of a professional profile.

Affordable Course Fees

Infibee Technologies keeps the Data Science course fees affordable, so skill development stays reachable for learners, as well as working professionals. Flexible learning options also help you upskill without derailing your career commitments.

Practical Teaching Methodology

The overall teaching approach blends concept-led explanations, coding practice, live demonstrations, assignments, case studies, and project building. With this practical path, learners tend to build confidence step by step while using Data Science tools and techniques.

Career-Focused Data Science Training

Infibee Technologies is focused on building practical Data Science abilities that are useful across different industries like IT, banking and finance, healthcare, e-commerce, retail, manufacturing, logistics, telecommunications, and marketing. There is a mix of seasoned trainers, project work you actually do, practical learning methods, industry-relevant technologies and certification. All of that gives learners a more organized sort of setting where they can grow and strengthen their Data Science skillset.

Infibee Technologies has already placed 500+ students into well known MNCs and top software companies. They support learners, step by step, so people can move toward their professional career aims, especially once they start applying for roles. For working professionals who want to upgrade their skills, sharpen their technical profile, and look into new opportunities within the rapidly growing data-driven tech sector, Infibee Technologies offers a practical and career oriented Data Science learning experience that matches what employers usually want.

Certification Providing

Infibee Technologies issues a Data Science Course Completion Certificate to acknowledge students who successfully finish the course. The certificate comes together with hands-on data Science skills, and that combination gives a clear advantage when pursuing a career with major IT, analytics companies, or similar tech teams.

Modes of Data Science Training at Infibee Technologies

  • Instructor-Led Online Training
  • Classroom Training
  • Weekend Batch Training
  • Corporate Training
  • One-to-One Personalized Training
  • Fast-Track Training Program

Global Certifications Available for Data Science Training

S.No Certification Code Certification Name Approximate Cost (INR) Certification Expiry
1 DP-100 Microsoft Azure Data Scientist Associate ₹13,000 – ₹16,000 1 Year
2 IBM-DS IBM Data Science Professional Certificate ₹8,000 – ₹12,000 No Expiry
3 TensorFlow TensorFlow Developer Certificate ₹8,000 – ₹10,000 3 Years
4 DASCA Data Science Council Certification ₹20,000 – ₹30,000 3 Years
5 Google-DA Google Data Analytics Certification ₹8,000 – ₹12,000 No Expiry

Who Can Join?

  • Freshers and Graduates
  • Data Analysts
  • Software Developers
  • Business Analysts
  • IT Professionals
  • Finance Professionals
  • Operations Executives
  • Machine Learning Enthusiasts
  • Working Professionals seeking upskilling
  • Anyone interested in analytics and AI technologies

Career Opportunities in Data Science Course

Experience Level Job Role Salary Range
Freshers / Junior (0–3 years) Junior Data Analyst 3 – 5 LPA
Freshers / Junior (0–3 years) Data Science Associate 4 – 6 LPA
Freshers / Junior (0–3 years) Business Intelligence Analyst 4 – 6.5 LPA
Mid-Level (4–8 years) Data Scientist 8 – 14 LPA
Mid-Level (4–8 years) Machine Learning Engineer 10 – 16 LPA
Mid-Level (4–8 years) Senior Data Analyst 8 – 12 LPA
Senior / Experienced (9+ years) Lead Data Scientist 15 – 22 LPA
Senior / Experienced (9+ years) AI Solution Architect 18 – 25 LPA
Senior / Experienced (9+ years) Head of Data Analytics 20 – 30 LPA
Specialized Roles NLP Engineer 12 – 20 LPA
Specialized Roles Deep Learning Specialist 15 – 22 LPA
Specialized Roles Big Data Consultant 12 – 18 LPA

Who’s Hiring Advanced Data Science Professionals?

  • Tata Consultancy Services (TCS)
  • Infosys
  • Wipro
  • Cognizant
  • Accenture
  • IBM
  • Deloitte
  • Capgemini
  • Amazon
  • Google

Can I Study for a Data Science Course in Other Locations?

Yes! Infibee Technologies offers Data Science Training across major cities including:

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

How to Register for the Data Science Course at Infibee Technologies?

Step 1: Register for a Free Demo

  • Visit our website and submit the inquiry form
  • Attend a free demo session to understand our training methodology
  • Interact with trainers and clarify your course-related queries

Step 2: Select Your Training Mode

  • Choose between classroom, online, weekend, or corporate training
  • Select suitable batch timings based on your convenience
  • Confirm your enrollment with our support team

Step 3: Start Your Data Science Journey

  • Begin learning with expert instructors
  • Work on live analytics and machine learning projects
  • Prepare for Data Science Certification and placement opportunities

Enroll Today: Unlock Your Data Science Training Potential!

Infibee Technologies’ industry-oriented Data Science Online Training. Learn from expert trainers, gain real-time project exposure, build predictive models, and become job-ready with practical analytics and machine learning skills. Join the best Data Science Online Training Institute today and build a successful future in analytics, artificial intelligence, and enterprise technologies.

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Why People Choose Infibee ?

Upcoming Data Science Batches

17-08-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
19-08-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
21-08-2026
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 Online Training! 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 Online Course, 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 Online Training  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 Online Training 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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