Data Science 100% Job Guaranteed* Program

The Data Science Program is designed to help you master Python, data science, and machine learning. The course will be mentored by industry experts and includes real-time projects. The program also offers a 100% placement guarantee within 8 months of course completion.

Key Highlights

Industry-relevant skills for various roles

Comprehensive curriculum

Expert faculty with industry experience

Prestigious certification upon completion

Ongoing support and resources post-program

Industry-relevant skills for various roles

Career advancement opportunities

Transformative learning experience

Flexible learning formats

About the program

This program is designed to provide participants with advanced knowledge and practical skills in data science. It covers a wide range of topics, including data analysis, statistical methods, machine learning algorithms, data visualization, and more.

Participants will have the opportunity to learn from industry experts through a combination of lectures, hands-on exercises, and real-world projects. The curriculum is carefully crafted to ensure that participants gain a deep understanding of key concepts and acquire the necessary skills to excel in today’s rapidly evolving data science landscape.

Upon successful completion of the program, participants will receive a certification that demonstrates their expertise in data science, enhancing their career opportunities in the field. With a focus on practical learning and industry relevance, this program equips participants with the tools and knowledge they need to succeed in the dynamic world of data science.

Transitioning to a new career

Switching from marketing to data science was a daunting task, but this program made it seamless. The hands-on projects and expert mentorship were invaluable. Within six months of completing the course, I landed a job as a data scientist at a leading tech company

Rajesh Kumar

Data Scientist

The transition from finance to data science was challenging, but the comprehensive curriculum and real-world projects provided by the program gave me the confidence and skills I needed. I now work as a machine learning engineer and couldn’t be happier with my career change


Machine Learning Engineer

As a former teacher, I was apprehensive about switching to data science, but the program’s support and practical approach made it possible. The placement guarantee was a huge motivator, and I’m now a data analyst at a top firm.


Data Analyst

Transitioning to a career in cloud computing and DevOps was a dream come true for me, and the Cloud Computing & DevOps Expert Certification Program played a pivotal role in making it a reality. The hands-on labs and real-world projects helped me develop a deep understanding of cloud technologies, and I’m now thriving as a cloud solutions architect. This certification has opened doors to exciting opportunities in the tech industry.


Data Scientist

The real-time projects and industry-focused training helped me transition from sales to data science. The mentorship was top-notch, and I secured a data scientist position within seven months of completing the program


Data Engineer

Switching from HR to data science seemed like a leap, but the structured learning path and hands-on projects made the transition smooth. I am now a data engineer and thoroughly enjoy my new role.


Data Scientist

As a software developer, I had some technical skills, but this program helped me master the specific tools and techniques needed for data science. The job placement support was excellent, and I now work as a data scientist at a major corporation.


Data Analyst

The shift from graphic design to data science was made easier by the program’s practical approach and expert guidance. The real-world projects helped me build a strong portfolio, and I secured a data analyst job soon after graduating.


Machine Learning Engineer

Moving from project management to data science was a significant change, but the program’s comprehensive curriculum and real-time projects were instrumental in my success. I now work as a machine learning engineer and love the new challenges.


Data Scientist

The transition from customer support to data science was smooth thanks to the program’s hands-on training and industry mentorship. The placement guarantee was reassuring, and I now enjoy my new role as a data scientist


Data Engineer

Professional Growth and Development

Increased Opportunities and Advancement

Alignment with Personal Goals and Values

Adaptability and Resilience:

Who Can Apply for the Course?

Roles That Data Scientists Can Fulfill

Data Analyst

Analyzes data to extract actionable insights and support decision-making processes.

Machine Learning Engineer

Develops and implements machine learning models and algorithms.

Data Engineer

Designs, builds, and maintains data pipelines and infrastructure

Business Intelligence Analyst

Uses data to help businesses make informed decisions and strategies.

Research Scientist

Conducts advanced data research and experiments to develop new methodologies.

Quantitative Analyst

Applies mathematical models to solve financial and risk management problems.

Skill Covered

Python Programming

Big Data Technologies


Data Wrangling

Statistical Analysis


Data Ethics and Privacy

Predictive Modeling

Machine Learning

Data Mining

A/B Testing

Data Visualization

Deep Learning

Data Engineering

Tools Covered


  • Basics of AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Cloud Computing
  • Python {NumPy, Pandas, Matplotlib}
  • Additional Topic: Operating System
  • Data Collection
  • Business Intelligence
  • Data Wrangling
  • Exploratory Data Analysis
  • Python Lab {Pandas Adv, Tableau, Excel}
  • MySQL Labs
  • Additional Topic: Virtualization
  • Data Visualization
  • Probability and Statistics
  • Machine Learning Approaches
  • Predictive Analysis
  • Python Lab{ Sklearn, Keras, TensorFlow}
  • Additional Topic: Networking
  • Azure Fundamentals
  • Model Training
  • Pipelines
  • MLOps
  • Corporate Job Descriptions
  • Azure Hands-on Lab
  • Additional Topic: Cloud

Are you interested in this program? Reserve your spot now!

All fields are required to be filled*


You’ll engage in various projects to enhance your proficiency in sought-after technologies, gaining valuable industry experience in the process.

Predictive Analytics for Retail

Develop a sophisticated model to predict retail sales based on historical sales data, seasonal trends, promotional events, and other influential factors. This project will help retailers optimize inventory levels, plan marketing strategies, and enhance customer satisfaction.

Sentiment Analysis on Social Media

Implement a sentiment analysis system to analyze social media posts such as tweets or Facebook updates. This project involves using natural language processing (NLP) techniques to gauge public sentiment about a specific brand, product, or event, providing valuable insights for marketing and customer engagement strategies.

Customer Segmentation

Use clustering algorithms to segment customers based on their purchasing behavior, demographics, and other relevant data. This project will enable businesses to create targeted marketing campaigns, personalize customer experiences, and improve customer retention rates.

Stock Market Prediction

Create a predictive model for stock prices using time series analysis and machine learning algorithms. This project aims to analyze historical stock price data, identify patterns, and make predictions about future stock movements, assisting investors in making informed decisions.

Fraud Detection

Build a fraud detection system for banking or e-commerce platforms using machine learning techniques. This project involves analyzing transaction data to identify suspicious activities and prevent fraudulent transactions, enhancing security and trust.

Recommendation System

Develop a recommendation engine for an e-commerce platform that suggests products to users based on their browsing and purchasing history. This project will help businesses increase sales and improve customer satisfaction by offering personalized product recommendations.

Image Classification

Use deep learning techniques to classify images into different categories. This project can involve tasks such as identifying objects in photos, detecting diseases in medical images, or categorizing images for organizing digital libraries.

Predictive Maintenance

Implement a predictive maintenance system for industrial machinery using sensor data analysis. This project aims to predict when maintenance is needed to prevent unexpected equipment failures, reduce downtime, and save maintenance costs.

Placement Target Companies

Admission Details

The application process involves three straightforward stages. Admission offers will be extended to chosen applicants following evaluations by the interview panel. Successful candidates will receive notifications via email and phone, and they can secure their positions by paying the admission fee.

STEP 1: Submit Application

Please provide some information about yourself and explain your interest in joining this program.

STEP 2: Application Review

A selection committee will identify candidates for further consideration based on their application.

STEP 3: Admission

Chosen candidates will receive notifications within 1-2 weeks.

Data Science Certification Program

Total Admission Fee

₹ 80,000

Frequently Asked Questions

Your certificate will be issued electronically and sent to your registered email address upon successful completion of the program.

This course offers a comprehensive curriculum, hands-on training, expert-led sessions, and certification upon completion, all of which are valuable assets for advancing your career in cloud computing.

If you miss a lecture, recordings will be provided for review, and you can catch up with the material at your convenience. Additionally, you can reach out to the instructor or support team for any clarifications.

Upon completion of the program, you will be eligible to take certification exams from recognized bodies such as AWS, Microsoft Azure, or other relevant organizations, depending on the course content.

Our refund policy allows for a full refund within a specified timeframe if you decide to withdraw from the program. Please refer to the program terms and conditions for detailed information on our refund policy.

Yes, we offer a batch deferral option for students who are unable to continue with their current cohort. You can defer your enrollment to a future batch subject to availability and program terms.