Data Science Course

5/5

Infibee Technologies Offer’s India’s No 1 Data Science, with global certification 100% placement support. 

Kickstart your career in Data Science guided by 12+ years of industry-experienced trainers, instruction from industry professionals, while students acquire practical skills through actual work assignments and receive preparation assistance for mock interviews and resume preparation, along with specialized job placement training. You can advance your career through self-paced learning because the program offers lifetime access to recorded live sessions at affordable fees. 

Our Data Science institute will help you start your Data Science career, which will lead to high-paying jobs at leading companies.

Live Online :

25 hrs of E-Learning Videos
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Data Science Course Overview

Infibee Technologies’s Advanced Data Science Course is designed to equip learners with the essential skills required to analyze, interpret, and visualize complex data. This industry-focused Data Science Course helps students gain expertise in data analysis, machine learning, and statistical modeling. If you are searching for a Data Science Course, Infibee Technologies provides a structured and practical learning approach tailored to industry needs.

The course covers data preprocessing, exploratory data analysis, machine learning algorithms, and data visualization techniques. Through real-time projects and case studies, learners gain hands-on experience in solving real-world business problems using data-driven approaches. This Data Science Classes program ensures students develop strong analytical and problem-solving skills.

With the increasing demand for data professionals across industries, enrolling in this Data Science Institute gives you a competitive advantage. Whether you are a fresher or a working professional, this training prepares you for high-demand roles and certification success.

About Data Science Course:
The Data Science Development Course at Infibee Technologies focuses on data analysis, machine learning, statistics, and visualization tools. This Data Science Classes program emphasizes practical learning through real-time datasets and industry use cases.

Course Overview Table

Data Science Development Course Topics Covered Applications of Data Science Tools Used
Python Programming & Statistics Predictive Analytics Python
Data Cleaning & Preprocessing Business Intelligence Jupyter Notebook
Machine Learning Algorithms Recommendation Systems Pandas, NumPy
Data Visualization Data Reporting Tableau, Power BI
Deep Learning Basics AI Applications TensorFlow, Scikit-learn

Why Choose Infibee Technologies for a Data Science Development Course?

Infibee Technologies is a leading Data Science Institute offering practical, job-oriented training.

Key Highlights:

  • Industry expert trainers
  • Hands-on real-time projects
  • Placement assistance support
  • Flexible batch timings
  • Affordable course fees
  • Updated curriculum based on industry trends
  • Certification guidance
  • Practical-oriented Data Science Classes

Best Data Science Institute – Get Certified with Infibee Technologies

Infibee Technologies is recognized as one of the top providers of Data Science Course, offering high-quality training programs designed for both beginners and professionals. The institute focuses on delivering practical knowledge through real-time projects, enabling learners to build strong analytical and technical skills.

The training is delivered by industry expert trainers who bring real-world experience into the classroom. They help students understand complex concepts such as machine learning, data modeling, and data visualization. This makes Infibee Technologies a trusted Data Science Institute for career growth.

The institute offers excellent placement support, including resume building, mock interviews, and technical guidance. Many alumni have secured positions in top MNC companies such as TCS, Infosys, Wipro, HCL, and Accenture.

Infibee Technologies ensures students are job-ready by focusing on both technical and problem-solving abilities. With flexible learning modes and an updated syllabus, it remains the best choice for Data Science Classes.

Certification Providing:

Infibee Technologies provides industry-recognized certification for the Data Science Development Course, validating your expertise in data analysis, machine learning, and visualization, improving career opportunities globally.

Modes of Training:

  • Classroom Training
  • Online Instructor-Led Training
  • Corporate Training

Global Certifications for Data Science

S.No Certification Code Cost (INR) Certification Expiry
1 IBM-DATA-SCI-001 ₹12,000 No Expiry
2 GOOGLE-DATA-ANALYTICS ₹10,000 No Expiry
3 MICROSOFT-DP-100 ₹15,000 2 Years
4 AWS-DATA-SPECIALTY ₹18,000 3 Years
5 SAS-DATA-SCI-CERT ₹20,000 3 Years

Benefits of Learning Data Science

  • High demand across industries
  • Excellent salary packages
  • Data-driven decision making skills
  • Opportunities in AI and Machine Learning
  • Career growth and global opportunities
  • Ability to work on real-world problems
  • Versatile and future-proof career

Who Can Join?

  • Students and fresh graduates
  • IT professionals
  • Engineers and analysts
  • Career switchers
  • Business professionals
  • Anyone searching for Data Science Development Course 

Career Opportunities in Data Science Development Course

Level Job Role Salary (LPA)
Freshers (0–3 years) Junior Data Scientist 4–6 LPA
Data Analyst 3–6 LPA
Business Analyst 4–7 LPA
Mid-Level (4–8 years) Data Scientist 8–15 LPA
Machine Learning Engineer 10–18 LPA
Data Engineer 8–14 LPA
Senior (9+ years) Lead Data Scientist 15–25 LPA
Data Architect 18–30 LPA
Analytics Manager 20–35 LPA
Specialized Roles AI Engineer 12–22 LPA
NLP Engineer 12–20 LPA
Computer Vision Engineer 12–22 LPA

Who’s Hiring Data Science Professionals?

  • TCS
  • Infosys
  • Wipro
  • Accenture
  • Cognizant
  • Capgemini
  • IBM

Can I Study Data Science Development Course in Other Locations?

Yes! Infibee Technologies offers Data Science training across major cities:

  • Data Science in Chennai
  • Data Science Development Course in Bangalore
  • Data Science in Hyderabad
  • Data Science in Pune
  • Data Science in Delhi
  • Data Science in Noida

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

How to Register for the Data Science Development Course?

Step 1: Register for a Free Demo

Visit the website and submit the inquiry form. Attend a demo session to understand the training methodology.

Step 2: Select Your Training Mode

Choose classroom or online training and confirm your batch timing.

Step 3: Start Your Data Science Development Journey

Begin learning with expert instructors, work on real-time projects, and get ready for Data Science Development Certification.

Enroll Today: Unlock Your Data Science Potential!

Join Infibee Technologies and build a successful career with the best Data Science Development Classes. Enroll today and become a skilled data professional!

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Why People Choose Infibee ?

Upcoming Data Science Batches

20-04-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
22-04-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
24-04-2026
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 Course! 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.

  • 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 Classes, 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 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"
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

The Data Science 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 Designation graph image

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 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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