Radical Technologies
DATA SCIENCE
★★★★★
(2,095 ratings)  50,000+ Student

DATA SCIENCE AND MACHINE LEARNING USING PYTHON

Data Science and Machine Learning with Python is a field of study and practice that combines data analysis, statistical modeling, and machine learning techniques using the Python programming language. Data Science and Machine Learning with Python involve the use of Python programming along with statistical analysis and machine learning techniques to extract insights, build predictive models, and solve complex data-related problems across various domains, including finance, healthcare, marketing, and more.

RT
Radical Technologies
50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

DATA SCIENCE AND MACHINE LEARNING USING PYTHON

IT Training Programme

Duration 60 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

23 sections covering the complete curriculum — a single, progressive learning arc.

60 hours
Training Duration
23
Core Modules
289
Total Lessons
4.6
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a DATA SCIENCE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

23 sections  •  289 lessons  •  60 hours

01 Module 1: Introduction to Data Science & AI

Topics

What is Data Science?
Data Science Lifecycle
Data Analytics vs Data Science vs AI vs Machine Learning
Applications of Data Science
CRISP-DM Methodology
Data Science Project Lifecycle
Industry Use Cases
Data Science Roles and Responsibilities
AI and Generative AI Fundamentals
Data Science Career Roadmap

Assignments

  • Analyze Data Science Use Cases Across Industries
  • Research AI Applications in Healthcare and Banking

Job-Oriented Scenarios

  • Customer Churn Prediction Requirements Gathering
  • Business Problem to Data Science Solution Mapping
02 Module 2: Python Programming Fundamentals

Topics

Python Installation and Setup
Jupyter Notebook
Python Syntax
Variables and Data Types
Operators
Conditional Statements
Loops
Functions
Modules and Packages
Exception Handling
File Handling
Object-Oriented Programming
Lambda Functions
Iterators and Generators
List Comprehensions

Labs

Employee Management System
Student Record Processing

Assignments

  • Banking Transaction Processing
  • Inventory Management System

Job-Oriented Scenarios

  • Data Processing Automation
  • Log File Analysis
03 Module 3: Python Libraries for Data Science

Topics

NumPy

Arrays
Vectorization
Broadcasting
Mathematical Operations
Linear Algebra

Pandas

DataFrames
Series
Data Cleaning
Data Transformation
GroupBy
Merge & Join
Pivot Tables

Matplotlib

Line Charts
Bar Charts
Histograms
Scatter Plots
Seaborn
Heatmaps
Pairplots
Distribution Analysis

Labs

Sales Data Analysis

Assignments

  • Employee Attrition Analysis

Job-Oriented Scenarios

  • Data Cleaning of Enterprise Datasets
04 Module 4: SQL for Data Science

Topics

Database Fundamentals
SQL Queries
Filtering
Joins
Aggregations
Subqueries
Window Functions
CTEs
Stored Procedures
Views

Labs

Customer Database Analysis

Assignments

  • Retail Data Analytics

Job-Oriented Scenarios

  • Data Extraction from Data Warehouses
05 Module 5: Exploratory Data Analysis (EDA)

Topics

Data Profiling
Missing Value Treatment
Outlier Detection
Correlation Analysis
Feature Understanding
Statistical Summaries
Data Visualization Techniques
Business Insights Extraction

Labs

Loan Dataset Analysis

Assignments

  • E-Commerce Sales Analysis

Job-Oriented Scenarios

  • Customer Segmentation Analysis
06 Module 6: Statistics for Data Science

Topics

Descriptive Statistics
Probability Theory
Probability Distributions
Normal Distribution
Central Limit Theorem
Hypothesis Testing
Confidence Intervals
Correlation
Covariance
Chi-Square Test
ANOVA
A/B Testing
Labs
Marketing Campaign Analysis
Assignments
Customer Behavior Analysis

Job-Oriented Scenarios

  • Product Performance Testing
07 Module 7: Machine Learning Fundamentals

Topics

Introduction to Machine Learning
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Training and Testing Data
Bias and Variance
Model Evaluation
Cross Validation
Feature Engineering
Model Deployment Concepts

Assignments

  • Predict Customer Purchases

Job-Oriented Scenarios

  • Build Prediction Models for Business Decisions
08 Module 8: Data Preprocessing & Feature Engineering

Topics

Data Cleaning
Missing Value Handling
Outlier Treatment
Feature Scaling
Encoding Techniques
Feature Selection
Dimensionality Reduction
Data Transformation
SMOTE
Data Balancing

Labs

Insurance Dataset Preparation

Assignments

  • Banking Dataset Feature Engineering
09 Module 9: Supervised Machine Learning

Topics

Regression Algorithms

Linear Regression
Multiple Regression
Ridge Regression
Lasso Regression
Polynomial Regression
Classification Algorithms
Logistic Regression
KNN
Naive Bayes
Decision Trees
Random Forest
Support Vector Machines

Labs

House Price Prediction
Customer Churn Prediction

Assignments

  • Credit Risk Analysis

Job-Oriented Scenarios

  • Loan Approval Prediction
  • Insurance Claim Prediction
10 Module 10: Ensemble Learning

Topics

Bagging
Boosting
Random Forest
AdaBoost
Gradient Boosting
XGBoost
LightGBM
CatBoost
Stacking

Labs

Fraud Detection

Assignments

  • Telecom Churn Prediction
11 Module 11: Unsupervised Learning

Topics

Clustering Fundamentals
K-Means Clustering
Hierarchical Clustering
DBSCAN
PCA
Market Basket Analysis
Association Rule Mining

Labs

Customer Segmentation

Assignments

  • Retail Product Recommendations

Job-Oriented Scenarios

  • Customer Behavior Analysis
12 Module 12: Time Series Analysis

Topics

Time Series Fundamentals
Trend Analysis
Seasonality
ARIMA
SARIMA
Prophet
Forecasting Techniques

Labs

Sales Forecasting

Assignments

  • Stock Price Analysis

Job-Oriented Scenarios

  • Demand Forecasting
13 Module 13: Natural Language Processing (NLP)

Topics

Text Processing
Tokenization
Stemming
Lemmatization
TF-IDF
Word Embeddings
Sentiment Analysis
Text Classification
Topic Modeling

Labs

Sentiment Analysis Project

Assignments

  • Social Media Analytics

Job-Oriented Scenarios

  • Customer Feedback Analysis
14 Module 14: Deep Learning Fundamentals

Topics

Neural Networks
Perceptrons
Activation Functions
Backpropagation
TensorFlow
Keras
PyTorch Introduction
Model Optimization

Labs

Image Classification

Assignments

  • Handwritten Digit Recognition
15 Module 15: Computer Vision

Topics

Image Processing
OpenCV
CNN Fundamentals
Object Detection
Face Detection
Image Classification
Transfer Learning

Labs

Face Recognition System

Assignments

  • Defect Detection System
16 Module 16: Generative AI & LLM Fundamentals

Topics

Introduction to Generative AI
Large Language Models
Transformers
Prompt Engineering
RAG Architecture
Vector Databases
LangChain
AI Agents
Fine-Tuning Concepts

Labs

AI Chatbot Development

Assignments

  • Document Search Assistant

Job-Oriented Scenarios

  • Enterprise AI Assistant
17 Module 17: MLOps

Topics

ML Lifecycle
Model Versioning
MLflow
DVC
Docker for ML
Kubernetes Basics
CI/CD for ML
Monitoring Models
Model Retraining

Labs

ML Deployment Pipeline

Assignments

  • End-to-End MLOps Project
18 Module 18: Model Deployment

Topics

Flask
FastAPI
REST APIs
Docker Containers
Cloud Deployment
Azure ML
AWS SageMaker
GCP Vertex AI

Labs

Deploy ML API

Assignments

  • Production Deployment
19 Module 19: Data Visualization & BI

Topics

Power BI Integration
Tableau Fundamentals
Dashboard Design
KPI Reporting
Storytelling with Data

Labs

Executive Dashboard

Assignments

  • Sales Analytics Dashboard
20 Module 20: Capstone Projects

Project 1

Customer Churn Prediction System

Project 2

Loan Approval Prediction Engine

Project 3

Fraud Detection System

Project 4

Retail Recommendation Engine

Project 5

Stock Market Prediction Platform

Project 6

Healthcare Disease Prediction System

Project 7

Sentiment Analysis Platform

Project 8

AI-Powered Resume Screening System

Project 9

Customer Segmentation Platform

Project 10

Generative AI Enterprise Chatbot

Project 11

Predictive Maintenance System

Project 12

End-to-End MLOps Deployment Project
21 Real-Time Job-Oriented Scenarios

Data Analyst Scenarios

  • 50 SQL Analysis Scenarios
  • 50 EDA Scenarios
  • 30 Dashboard Scenarios

Data Scientist Scenarios

  • 100 Predictive Modeling Scenarios
  • 50 Feature Engineering Scenarios
  • 50 Statistical Analysis Scenarios

Machine Learning Engineer Scenarios

  • 75 Model Development Scenarios
  • 50 Model Optimization Scenarios
  • 30 Deployment Scenarios

AI Engineer Scenarios

  • 50 NLP Scenarios
  • 30 Computer Vision Scenarios
  • 30 Generative AI Scenarios
  • 20 Agentic AI Scenarios

MLOps Scenarios

  • 30 MLflow Scenarios
  • 25 Docker Scenarios
  • 25 Kubernetes Scenarios
  • 20 CI/CD Scenarios
22 Interview Preparation

Data Science

500+ Data Science Interview Questions

Machine Learning

500+ Machine Learning Interview Questions

Python

300+ Python Coding Questions

SQL

300+ SQL Interview Questions

AI & Generative AI

200+ LLM and GenAI Questions

Mock Interviews

HR Interview Preparation
Technical Interviews
Case Study Discussions
Resume Building Workshops
23 Recommended Certifications
Microsoft Certified: Azure Data Scientist Associate
AWS Certified Machine Learning Engineer – Associate
Google Professional Machine Learning Engineer
TensorFlow Developer Certificate
Databricks Certified Machine Learning Professional

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

289+
Hands-On Lessons
23
Core Modules
60 hours
Training Duration
100%
Practical Training

You don't just learn DATA SCIENCE AND MACHINE LEARNING USING PYTHON. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.6★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.6
★★★★★

Course Rating

★★★★★
73%
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(DATA SCIENCE)Antrixsh teaches us lots of things in easy way and very understanding. Radical Technologies is systematic planed institute in pune.
S Satisfied Student
Antrixsh is best trainer for data science. He has very practical approach. Radical Technology is best institute for BigData and DataScience professional course in Pune.
S Satisfied Student
Antrixsh is really a great tutor when it comes to Data Science teaching. Being from a different platform, i have learned a lot from him and the time and money is really worth when it comes to learning Data Science from Antrixsh Sir. …
S Satisfied Student
Attended Data Science batch in Radical aundh and must say that Antrixsh is the best trainer/ mentor I have ever met. He made things simple but beyond that he provided us with many scenarios to work on. One should not expect to become a …
S Satisfied Student
Best Data Science class in entire Pune. Thanks to Antrixsh sir for the excellent teaching.
S Satisfied Student
Course content for Data Science was good but forming a batch takes time.
S Satisfied Student
Good institutions and trainer for Data science course. Special thanks to Antrixsh
S Satisfied Student
Good learning experience at Radical Technologis, Aundh. Thanks to Antrixsh sir for Data Science. He is having good knowledge of content with real time examples explanation which is really helpful to understand.
S Satisfied Student
Got good knowledge of hadoop and data science. Thanks for helping us understand the course in very interactive and easy way.
S Satisfied Student
I did Big data and Data Science program here with Antriksh sir. All materials is provided like setup documents, ppts, dataset, assignments. It is helpful in switching career to big data. But yes need to spend time to get expert in it
S Satisfied Student
I did big data and data science program here with Antrixsh sir. It was really helpful to start your career in this field. All materials and guidance was good. But yes finally if you have to be proficient you needs practice over that...... 😊 …
S Satisfied Student
I did the data science course with Radical. The course covered some topics of Bigdata and few topics on data science. This course gives you the basic foundations required for starting your journey in the data science field.
S Satisfied Student
I had a very nice experience with the course Data-Science at Radical Technologies - Aundh. Antrixsh is a very good trainer and presents things in a very lucid and …
S Satisfied Student
I had enrolled for data science and machine learning course conducted by instructor Antrixsh Gupta. He's a great teacher and always available to answer the doubts. I was really a novice in this field but with the guidance of Antrixsh sir I was able to make a career transition into this field.
S Satisfied Student
I had pursued Big_Data-Data Science course from Radical Tech, Aundh, Pune for Jan 2018 weekend batch. It was indeed a great learning. It is good that Radical Tech offers Data Science training program comprising most of the modules at …
S Satisfied Student
I have completed the training for Data Science under the guidance of Antrixsh Gupta sir.All my queries are answered and the best thing about the class is that, real world examples are discussed and that helps us to relate how data science works in real world problem.
S Satisfied Student
I just completed my Data Science training, my mentor was Antrixsh Gupta there, he is a very patient and knowledgeable tutor, He came extremely prepared which impressed me, He was always available to answer any questions we had, apart from the class, many times he took us to Lunch and Dinner after the classes, would recommend to anyone.
S Satisfied Student
It was a good learning experience learning data science mentored by Antarixsh Gupta sir. Practical examples along with detailed explanation are taught in class which make concepts even clearer.
S Satisfied Student
It was great experience in learning new things with "Antarixsh Gupta" Sir. His knowledge on Data Science and guidance has changed our thoughts and gave us opportunity to learn new things. Well I was fortunate enough to start my career as …
S Satisfied Student
It was very good experience with Radical. I have done Data Science course under the guidance of Antrixsh Gupta. Antrixsh Sir is technically one the best coach i have meet till date. …
S Satisfied Student
Trainer Antrixsh is very good for data science. He has very practical approach. Needless to say Radicals is best institute for any professional courses in Pune.
S Satisfied Student
Attended training on Data Science with R & python in radical technologies Hinjewadi and had a really good experience. The trainers here have sound knowledge on the subjects and keep themselves updated with the latest trends in the market. …
S Satisfied Student
I can say that it's one of the best Insistute to learn phython, datascience, machine learning. I have completed phython with datascience in radical technologies hinjewadi. In simple word I will say he is just perfect trainer for phython …
S Satisfied Student
I have attended datascience and Google cloud from radical technologies Hinjewadi,trainers are very knowledgeable ,even you are not in to IT.they covers topics in such a ease that everyone take well.The infrastructure also good.
S Satisfied Student
I have joined radical technologies hinjewadi for datascience with python +machine learning and R. Trainer explained all the concepts clearly. The training was completely based on real time scenario and they gave one life project also . I …
S Satisfied Student

Frequently Asked Questions

10 questions about the DATA SCIENCE AND MACHINE LEARNING USING PYTHON course.

01 Why should I choose Radical Technologies for Data Science Training in Pune?
Radical Technologies stands out for its comprehensive Data Science Course in Pune. With expert instructors, hands-on projects, and a focus on real-world applications, our training is designed to empower aspiring data scientists.
02 Can beginners enroll in the Data Science Course, or is it suitable for experienced professionals only?
Absolutely! Our Data Science Course in Pune caters to all levels of expertise, including beginners. We provide a structured curriculum that starts with fundamentals and progresses to advanced topics, ensuring a comfortable learning experience for everyone.
03 What sets apart Radical Technologies' Data Science Classes in Pune?
Absolutely! Our Data Science Course in Pune caters to all levels of expertise, including beginners. We provide a structured curriculum that starts with fundamentals and progresses to advanced topics, ensuring a comfortable learning experience for everyone.
04 Is the Data Science Certification provided by Radical Technologies recognized in the industry?
Yes, the Data Science Certification awarded upon completion of our course is recognized in the industry. It adds value to your resume and enhances your credibility as a skilled data science professional.
05 How does Radical Technologies support online learners with its Data Science Online Training in Pune?
Our Online Data Science Training in Pune is designed for remote learners, offering flexibility without compromising on the quality of education. Live sessions, interactive discussions, and hands-on projects ensure an engaging online learning experience.
06 Does Radical Technologies offer job placement assistance after completing the Data Science Course?
Yes, we provide Job Placement Assistance to help you transition smoothly into the industry. We also offer a Job Placement Guarantee for the right candidates who successfully complete our Data Science Course in Pune.
07 Can I pursue a Python Data Science Course separately at Radical Technologies?
Certainly! Our Python Data Science Course is integrated into the Data Science curriculum, but we also offer it as a standalone course for those specifically interested in mastering Python for data science applications.
08 What is the duration and fees structure of the Data Science Course at Radical Technologies?
For detailed information on the Data Science Course Duration and Fees in Pune, please visit our website or contact our admissions team for personalized assistance.
09 Are there specialized courses for Data Science and AI at Radical Technologies?
Yes, we offer a specialized course that explores the convergence of Data Science and AI. This advanced program is designed for those seeking expertise at the intersection of these two cutting-edge fields.
10 How can working professionals benefit from the Data Science Courses at Radical Technologies?
Our Data Science Courses are designed to accommodate the schedules of working professionals. With flexible timings and online options, our courses provide a convenient way for working individuals to upskill and advance their careers in data science.

DATA SCIENCE AND MACHINE LEARNING USING PYTHON Interview Questions

10 questions commonly asked in DATA SCIENCE AND MACHINE LEARNING USING PYTHON interviews.

  1. 01 Can you explain the difference between supervised and unsupervised learning, and provide examples of each?
  2. 02 Describe your experience with data preprocessing techniques in Python, including handling missing values, scaling features, and encoding categorical variables.
  3. 03 How do you evaluate the performance of a machine learning model in Python, and what evaluation metrics do you consider for classification and regression tasks?
  4. 04 Can you discuss the advantages and disadvantages of different machine learning algorithms such as decision trees, random forests, and support vector machines?
  5. 05 Describe your approach to feature selection and feature engineering in Python, and how you identify and create relevant features for improving model performance.
  6. 06 Discuss your experience with cross-validation techniques such as k-fold cross-validation and how you use them to assess model generalization and avoid overfitting.
  7. 07 Can you explain the concept of bias-variance tradeoff in machine learning, and how you address it when training and evaluating models in Python?
  8. 08 Describe your experience with ensemble learning methods such as bagging, boosting, and stacking, and how you combine multiple models to improve predictive performance.
  9. 09 How do you handle imbalanced datasets in Python, and what strategies do you use to address class imbalance in classification tasks?
  10. 10 Can you discuss your approach to hyperparameter tuning in Python, including techniques such as grid search, random search, and Bayesian optimization?

Data science & Machine Learning With Python Course Certification With Training In Pune

Unlock the world of data with Radical Technologies’ comprehensive Data Science Course in Pune. Our Data Science Classes cover the spectrum, providing hands-on training for aspiring data scientists. Whether you’re a beginner or a seasoned professional, our Data Scientist Course in Pune caters to all levels of expertise.

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Amazon
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Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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