Data Science Training in Delhi

5/5

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

Begin your Data Science Course in Delhi with over more than 10 industry experienced trainers. An affordable fee, mock projects, resume preparation, interview preparations, placement training, and lifetime access to recorded live sessions make the training super attractive. Our Data Science Training in Delhi promotes hands-on experience by working with real-world datasets. This will help you master Python, R, machine learning, AI, and data visualization techniques. Acquiring practical skill to address actual business problems and data decision-making will help you be a full-fledged data science professional in applicable roles of high demand.

Join our Data Science Training in Delhi to act your career eventually toward well- paying jobs at star companies.

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25 hrs of E-Learning Videos
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Data Science Course Overview

Kickstart your career in the fast-evolving data-driven technologies with Data Science Training in Delhi at Infibee Technologies. Data Science is transforming industries in enabling the decision-making process through data, building models for prediction, and insights through AI. It teaches a set of skills required to manipulate data, build models for prediction, and use machine learning algorithms in practical applications.

Our Data Science Training in Delhi ensures the application of knowledge through hands-on experience in Python, R, SQL, Machine Learning, AI, and Data Visualization. Learn from industry experts, work on live projects, and get exposed to the tools and techniques used by leading companies worldwide. You receive certification and placement support with this course, enabling you to enter the data science field confidently and move swiftly into high-paying roles in top organizations.

Data Science Course Topics Covered Applications of Data Science Tools Used
Python & R Programming Business Analytics Python, R
Statistics & Probability Healthcare Analytics Jupyter Notebook
Data Visualization (Matplotlib, Seaborn) Finance & Risk Management Tableau, Power BI
Machine Learning & Deep Learning Marketing & Sales Analytics Scikit-Learn, Keras
Big Data Analytics & Hadoop E-commerce Recommendations Hadoop, Spark
NLP & AI Projects Social Media Analytics SQL, MongoDB

Why Choose Infibee Technologies for Data Science Course In Delhi?

  • Industry-Experienced Trainers: Learn from professionals with 10+ years of experience.

  • Hands-on Projects: Real-world datasets and case studies.

  • Placement Assistance: Resume preparation, mock interviews, and placement guidance.

  • Lifetime Access: Recorded sessions for future reference.

  • Affordable Fees: High-quality training at competitive prices.

Best Data Science In Delhi – Get Certified with Infibee Technologies

Located at the heart of Delhi, Infibee Technologies stands fourth amongst imperative institutions offering Data Science Training in Delhi. We are working to bridge the gap between theory and practice in industry requirements. Students are given options to indulge in hands-on activities, live projects, tools, and techniques largely used in the data sciences domain.

Trainers from top IT companies ensure that students learn the skills that make them proficient at data analysis, predictive modeling, AI, and machine learning. The course has mock projects, resume preparation, and interview guidance to ensure the learners are ready to be employed for high-demand jobs. Students access to all recorded sessions for them to keep learning and upskilling.

Certification

The students receive an internationally recognized certificate in the Data Science Course in Delhi, certified in data analytics, machine learning, and artificial intelligence. This certificate improves chances of getting employable, credibility with recruiters, and, thus, eligibility for more demanding career opportunities.

Our alumni have secured positions in top MNC companies such as TCS, Infosys, Wipro, Cognizant, and HCL Technologies.

Modes of Data Science Training At Infibee Technologies:

  • Classroom Training
  • Self -Based Training
  • Online Training
  • Corporate Training

Global Certifications Available for Data Science Training In Delhi

S.No Certification Code Cost (INR) Expiry
1 DS Professional Certificate 25,000 3 Years
2 Machine Learning Specialist 30,000 3 Years
3 Big Data Analytics Certification 28,000 5 Years
4 AI & Deep Learning Professional 35,000 Lifetime

Benefits of Learning the Data Science Course In Delhi

  • Hands-on experience with real-world datasets

  • Master Python, R, SQL, ML, AI, and Big Data

  • Prepare for globally recognized certification exams

  • Enhance employability in top IT and data-driven companies

  • Lifetime access to recorded sessions and course material

  • Resume building, mock interviews, and placement support

What You’ll Learn

  • Python, R, and SQL programming

  • Data cleaning, visualization, and statistical analysis

  • Machine learning algorithms and deep learning

  • Predictive analytics and AI solutions

  • Big Data tools such as Hadoop and Spark

  • Real-time projects and portfolio building

Who Can Join?

  • Freshers and IT graduates

  • Software developers and engineers

  • Data analysts and business intelligence professionals

  • Professionals seeking a career in data science, AI, or machine learning

  • Anyone passionate about data-driven decision making

Career Opportunities in Data Science Training In Delhi

Role Level Job Role Salary (INR LPA)
Freshers / Junior (0–3 years) Data Science Trainee 3–4.5
Freshers / Junior Junior Data Analyst 4–5.5
Freshers / Junior Machine Learning Intern 4–5
Mid-Level (4–8 years) Data Scientist 5–8
Mid-Level Senior Data Analyst 8–12
Mid-Level Machine Learning Engineer 8–12
Mid-Level Data Science Lead 8–12
Senior / Experienced (9+ years) Principal Data Scientist 12–18
Senior / Experienced Head of Data Science 15–20
Senior / Experienced Data Science Consultant 18–25
Specialized Roles AI/ML Specialist 10–15
Specialized Roles Big Data Engineer 10–15
Specialized Roles Data Science Expert 12–20

Who’s Hiring Data Science Professionals?

  • TCS

  • Infosys

  • Wipro

  • Accenture

  • HCL Technologies

Can I Study Data Science Training in Other Locations?

Data Science Training is offered to other cities as well as Data Science Training in Chennai, Data Science Training in Bangalore, Data Science Training in Hyderabad, and Data Science Training in Pune. While Infibee Technologies is providing hands-on training, experienced mentors, and placement support, which goes hand in hand with what candidates look for specifically in Delhi, that is what makes us the number one choice.

How to Register for Data Science at Infibee Technologies?

Step 1: Register for a Free Demo

  • Visit our website and submit the inquiry form.

  • Attend a free demo session to learn about our teaching methodology.

Step 2: Select Your Training Mode

  • Choose between classroom, online, or corporate training.

  • Confirm your batch timing and schedule convenience.

Step 3: Start Your Data Science Journey

  • Begin learning with expert instructors.

  • Work on live projects and prepare for certification.

Enroll Today: Unlock Your Data Science Training in Delhi Potential!

Infibee Technologies’ Data Science Training in Delhi comes with the practical know-how, certification, and placement assistance. Step up toward a high-paying job with reputed IT and analytics companies. Enroll now and create your future with data science!

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Why People Choose Infibee ?

Upcoming Data Science Batches

06-10-2025
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
08-10-2025
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
03-10-2025
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"
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
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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