Data Science Course in Delhi

5/5

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

Kickstart your career with Data Science Course in Delhi is guided by 13+ years of industry experienced experts. Our Course offers affordable fee, mock projects, resume preparation, interview preparations, placement training, and lifetime access to recorded live sessions make the training super attractive. Our Course promotes hands-on experience by working with real-world datasets. This will help you master Python, R, machine learning, AI, and data visualization techniques.

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

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25 hrs of E-Learning Videos
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Data Science Course Overview

Infibee Technologies is offering an Intermediate to Advanced Data Science Course in Delhi, sort of to help students and those already working, build practical abilities for data analysis, statistics, machine learning, and better data-driven decision-making. In a way, Data Science merges statistics, coding, mathematics, along with analytical methods, so people can pull out useful insights from structured plus unstructured data.

Introduction to Data Science

Data Science supports organizations in collecting, processing, and interpreting huge amounts of information, which then helps them notice patterns and back business decisions. Usually, Data Science professionals spend time on data preparation, exploratory exploration, predictive modeling, machine learning, data visualization, and then communicating those findings clearly to stakeholders.

Purpose of Data Science Course in Delhi

The Data Science Course in Delhi helps learners build hands-on abilities by doing programming exercises, analytical tasks, machine learning models and then some real-world projects. The training can support students as well as working professionals in getting a grip on Python, stats, data visualization, databases, machine learning, and a bunch of other key Data Science ideas.

Importance, Industries & Future Scope

Data Science gets used a lot across industries like IT, banking, finance, healthcare, retail, e-commerce, manufacturing, telecommunications, logistics, and marketing. Companies lean on data driven solutions for things like forecasting, customer analysis, fraud detection, risk management, recommendation systems, process optimization, and also business intelligence. Since data is getting more accessible every year, and because AI along with machine learning keeps being adopted, Data Science skills still look crucial across both technology and business roles. Learners can look at career routes such as Data Analyst, Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst.

Topics Covered Applications Tools Used
Python Programming Data Processing & Analysis Python
Statistics Statistical Analysis NumPy, SciPy
Data Cleaning Data Preparation Pandas
Exploratory Data Analysis Pattern Identification Pandas, Jupyter
Data Visualization Business Reporting Matplotlib, Seaborn
SQL & Databases Data Extraction MySQL / PostgreSQL
Machine Learning Predictive Analytics Scikit-learn
Regression & Classification Forecasting & Prediction Scikit-learn
Clustering Customer Segmentation Scikit-learn
Feature Engineering Model Improvement Python
Model Evaluation Performance Analysis Scikit-learn
Real-Time Projects Business & Industry Solutions Jupyter Notebook / VS Code

Why Choose Infibee Technologies for a Data Science Course in Delhi?

Infibee Technologies Data Science Course in Delhi is hands-on and industry focused type of training, so learners can get better at both analytical thinking and programming skills. It sort of mixes theory, with actual practice—like in-class exercises, quick demonstrations, small case studies, and real world projects, which I guess makes it feel more tangible than just reading.

Key Highlights

  • Intermediate to advanced-level Data Science training
  • Industry-oriented Data Science curriculum
  • Practical Python programming and data analysis sessions
  • Training in statistics and exploratory data analysis
  • Data cleaning, preprocessing, and feature engineering
  • Data visualization using commonly used Python libraries
  • SQL and database concepts for data analysis
  • Machine learning algorithms and model development
  • Regression, classification, and clustering techniques
  • Model evaluation and optimization concepts
  • Real-world Data Science projects and case studies
  • Hands-on learning with Python and relevant Data Science tools
  • Suitable for students, freshers, and working professionals
  • Project-based learning methodology
  • Career-oriented training and interview preparation
  • Guidance on relevant Data Science certification and career pathways

Best Data Science Training Institute in Delhi – Get Certified with Infibee Technologies

Infibee Technologies provides Data Science Training in Delhi with an industry focused vibe, meant for students and even working professionals, to build practical know how in data analysis, Python skills, statistics, machine learning, and data driven kind of problem solving. It leans heavily on hands on learning, real life use cases, project based practice, and the everyday tools people actually use in Data Science.

The Data Science Course in Delhi is set up so learners can grasp the whole Data Science pipeline, starting from collecting, then cleaning or preparing data, moving into exploratory analysis and visualization, then machine learning, next model evaluation, and finally presenting the insights in a clear way. During the sessions participants can get real exposure to Python plus NumPy, Pandas, Matplotlib, Seaborn, SQL, Scikit-learn, Jupyter Notebook and other commonly used technologies.

Experienced Trainers

Take guidance from trainers with 12+ years in the industry, they bring practical know-how about data analysis, machine learning, programming, and the actual project requirements you’ll meet in real work.

Real-Time Project Exposure

Get a real hands-on feel using practical datasets, data-cleaning drills, exploratory analysis, visualization work, machine learning models and realistic project scenarios.

Certification & Industry-Oriented Learning

This course goes over the Data Science essentials along with certification-style learning targets, so learners can sharpen both their technical skills and analytical thinking, in a more focused way.

Affordable Course Fees

Infibee Technologies delivers career-focused Data Science training at competitive fees, and it’s priced in a way that works for students, freshers, and even working professionals who are upgrading.

Practical Teaching Methodology

The sessions blend instructor-led explanations with coding walkthroughs, hands-on exercises, case studies, assignments, model-building activities, and a project-first learning approach.

End-to-End Data Science Learning

You can build full competence in Python, statistics, SQL, data visualization, machine learning, model evaluation, and practical data analysis.

Career & Placement Assistance

Infibee Technologies also provides career direction and placement-oriented support for eligible learners, so they can look into opportunities in data and technology roles, with more clarity.

The Data Science Training in Delhi is good for students, graduates, people who want to become Data Scientists, Data Analysts, software professionals, and even working professionals who aim to grow practical data skills. The whole project based approach makes it easier for learners to understand how Data Science methods actually work in real settings like business analytics , customer insights, forecasting, fraud detection, recommendation systems, and process optimization.

Infibee Technologies also says it has supported 500+ students in shaping careers with leading MNCs and software companies. Still, learners should double check the newest placement numbers , eligibility rules, and what placement assistance includes , directly with the institute itself, since these details can change.

Certification

Infibee Technologies offers certification oriented Data Science training that covers Python, statistics, data analysis, visualization, and machine learning. This helps learners show practical capability through hand-on exercises , assignments, and real world projects.

Modes of Data Science Training in Delhi at Infibee Technologies

Infibee Technologies offers flexible training modes based on learner requirements:

  • Classroom Training: Instructor-led sessions with direct interaction, coding demonstrations, practical exercises, discussions, and project guidance.
  • Online Training: Live instructor-led sessions for learners who prefer to attend training remotely from any location.
  • Hybrid Training: A combination of classroom and online learning options, subject to batch availability.

Learners should confirm the latest training mode, batch schedule, course duration, fees, certification details, and placement support with Infibee Technologies before enrollment.

Global Certifications Available for Data Science Training

S.No Certification Code Approximate Cost (INR) Certification Expiry
1 Microsoft DP-100 ₹13,000 – ₹15,000 No Expiry
2 IBM Data Science Professional Certificate ₹30,000 – ₹45,000 No Expiry
3 Google Professional Data Engineer ₹16,000 – ₹18,000 Valid for 2 Years
4 SAS Certified Data Scientist ₹40,000 – ₹60,000 No Expiry
5 AWS Certified Machine Learning Specialty ₹25,000 – ₹30,000 Valid for 3 Years

Benefits of Learning Data Science Training

  • High-demand career opportunities
  • Attractive salary packages
  • Global employment prospects
  • Expertise in Artificial Intelligence and Machine Learning
  • Strong analytical and problem-solving skills
  • Data-driven decision-making capabilities
  • Business intelligence expertise
  • Predictive analytics knowledge
  • Opportunities across multiple industries
  • Future-proof technology career
  • Freelancing and consulting opportunities
  • Industry-recognized certifications
  • Exposure to emerging technologies
  • Continuous career growth

Who Can Join?

  • Fresh Graduates
  • Engineering Students
  • MBA Graduates
  • MCA/BCA Students
  • Software Developers
  • Data Analysts
  • Business Analysts
  • IT Professionals
  • Database Administrators
  • Statisticians
  • Finance Professionals
  • Working Professionals
  • Entrepreneurs
  • Anyone interested in Data Science and AI

Career Opportunities in Data Science Course

Experience Level Job Role Salary Range (LPA)
Freshers (0–3 Years) Data Science Trainee 4 – 7 LPA
Freshers (0–3 Years) Junior Data Analyst 4 – 8 LPA
Freshers (0–3 Years) Associate Data Scientist 5 – 8 LPA
Mid-Level (4–8 Years) Data Scientist 8 – 15 LPA
Mid-Level (4–8 Years) Machine Learning Engineer 10 – 18 LPA
Mid-Level (4–8 Years) Senior Data Analyst 8 – 14 LPA
Mid-Level (4–8 Years) AI Specialist 10 – 20 LPA
Senior (9+ Years) Lead Data Scientist 18 – 30 LPA
Senior (9+ Years) Data Science Manager 20 – 35 LPA
Senior (9+ Years) Head of Data Analytics 25 – 45 LPA
Specialized Roles NLP Engineer 12 – 25 LPA
Specialized Roles Computer Vision Engineer 15 – 30 LPA
Specialized Roles AI Research Scientist 20 – 40 LPA

Who’s Hiring Advanced Data Science Professionals?

  • Google
  • Microsoft
  • Amazon
  • Accenture
  • TCS
  • Infosys
  • Cognizant
  • IBM
  • Deloitte
  • Capgemini
  • Wipro
  • HCL Technologies
  • EY
  • PwC
  • Flipkart

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

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

  • Data Science Course Training in Chennai
  • Data Science Course Training in Bangalore
  • Data Science Course Training in Hyderabad
  • Data Science Course Training in Pune
  • Data Science Course Training in Noida

With expert mentors, practical training, real-time projects, certification guidance, and placement support, Infibee Technologies remains the preferred 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 the course curriculum, trainer expertise, and learning methodology.

Step 2: Select Your Training Mode

Choose your preferred training option, including classroom training, online instructor-led training, weekend batches, or corporate training. Confirm your batch schedule and timing.

Step 3: Complete Your Enrollment

Complete the registration process and gain access to study materials, project resources, assignments, and learning support.

Step 4: Start Your Data Science Journey

Begin learning with industry experts, work on real-world datasets, build machine learning models, gain practical project experience, prepare for certifications, and become job-ready with placement assistance.

Enroll Today: Unlock Your Data Science Training Potential!

Take the first step toward a successful career in Data Analytics, Artificial Intelligence, Machine Learning, and Business Intelligence with Infibee Technologies. Our industry-focused Data Science Training in Delhi provides hands-on learning, expert mentorship, real-time project exposure, certification guidance and placement support.

Whether you are searching for Data Science Course in Delhi, Infibee Technologies offers the ideal platform to achieve your professional goals. Enroll today and transform your future with in-demand Data Science skills and high-paying career opportunities in top organizations worldwide.

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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
14-08-2026
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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