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.

Kickstart your career with Data Science Online Course, 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 Online Data Science Training Institute and ignite your Data Science career future with high-paying jobs in top companies.

Live Online :

25 hrs of E-Learning Videos
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Data Science Course Overview

Infibee Technologies’ Data Science Online Course is made to help learners and working people get hands on experience in data analysis , machine learning, statistical modeling , data visualization and predictive analytics. Data Science itself is one of the quickest growing tech used by organizations to look at business data, get meaningful insights, make automation decisions faster, and improve everyday operational efficiency.

In ERP and business setups , Data Science has a big part in things like material management, procurement review, inventory forecasting, customer behavior study, and business intelligence reporting. The idea behind the Data Science Online Training is basically to give learners real-time understanding of data analytics, machine learning algorithms, Python programming, statistical assessment and practical data driven business problem solving.

This course supports students, freshers ,and people already working who want to sharpen their analytical technical skills for modern enterprises. Data Science experts are in high demand across many sectors such as banking, healthcare, retail, e-commerce ,manufacturing, logistics, telecommunications ,finance, and IT services. This Data Science Course feels very promising, mainly because more organizations are adopting artificial intelligence, big data tools, automation, and cloud based analytics solutions.

Data Science Course Topics Covered Applications of Data Science Course Tools Used
Introduction to Data Science Business Intelligence Analytics Python
Python Programming Inventory Forecasting Jupyter Notebook
Statistics & Probability Procurement Analysis Pandas
Data Visualization ERP Reporting Dashboards NumPy
Machine Learning Algorithms Customer Behavior Analysis Matplotlib
Data Cleaning & Processing Sales Forecasting Scikit-learn
SQL for Data Science Fraud Detection Systems SQL
Deep Learning Basics Supply Chain Optimization TensorFlow
Real-Time Project Development Predictive Analytics Power BI
Model Deployment Business Automation Solutions Tableau

Why Choose Infibee Technologies for a Data Science Online Course?

Key Highlights:

  • Trainers with 8+ to 10+ years of real-time industry experience
  • Hands-on Data Science Online Classes with live projects
  • Industry-focused curriculum with updated technologies
  • Affordable course fees with flexible batch timings
  • Practical assignments and analytics exercises
  • Placement assistance with interview preparation
  • Certification support after successful course completion
  • Flexible online and classroom training modes
  • One-to-one mentoring and doubt-clearing sessions
  • Real-time project exposure for practical implementation

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

Infibee Technologies is sort of a leading Data Science Online Training Institute, offering training that is industry focused for aspiring data analysts, machine learning engineers, and IT professionals. Our Course is meant to help you get practical know how in data analysis, machine learning, predictive modeling, statistical analysis, artificial intelligence basics and business intelligence solutions. Students also get hands-on practice in inventory forecasting, procurement analytics, customer segmentation, sales prediction, fraud detection and business intelligence reporting

At Infibee Technologies, Data Science Online Training is delivered by really experienced professionals who understand data analytics, machine learning, AI technologies, business intelligence, plus enterprise reporting solutions. Our trainers tend to emphasize practical learning methodologies through live projects, case studies, assignments, real-time analytics scenarios, and interactive sessions. These interactive sessions make students grasp industry standard data science practices. Our Course real time project exposure helps learners sharpen their analytical thinking and technical expertise.

We have already managed to place 500+ students in leading MNCs, analytics companies, consulting firms, and top software organizations across India. So whether you are a fresher planning to start a data analytics career or a working professional trying to upgrade your analytical skills, our Data Science Training near me offers a solid learning platform. One big advantage of joining our Data Science Online Classes is the chance to work on real-time projects, not just theory ,and that makes it easier to build confidence fast.

Certification Providing

Infibee Technologies gives an industry-recognized Data Science Certificate once you successfully finish the training program. this credential proves your skillset across data analysis, machine learning, Python coding, forecasting insights, and real time project delivery, so it helps you boost career pathways in analytics and in the broader artificial intelligence space.

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

Benefits of Learning Data Science Training

  • High demand for Data Science professionals globally
  • Learn machine learning and predictive analytics
  • Improve analytical and problem-solving skills
  • Better career opportunities in analytics and AI
  • Gain expertise in Python and data visualization
  • Hands-on experience with real-time projects
  • Excellent salary opportunities in IT sector
  • Learn business intelligence and forecasting techniques
  • Exposure to AI and automation technologies
  • Become job-ready with practical analytics experience

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

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 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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