Home » Data Science 100% Job Guaranteed Program
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.
- 100% Placement Guarantee*
- Comprehensive Curriculum with Real-Time Projects
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
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
Rohit
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.
Anita
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.
Anurag
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
Vikas
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.
Meena
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.
Arjun
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.
Neha
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.
Kiran
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
Sanya
Professional Growth and Development
Increased Opportunities and Advancement
Alignment with Personal Goals and Values
Adaptability and Resilience:
Who Can Apply for the Course?
- Recent graduates looking to enter the field of data science.
- Professionals from various industries seeking a career change into data science roles.
- Data enthusiasts with a strong interest in data analysis, machine learning, and data visualization.
- Current students interested in gaining practical data science skills alongside their academic studies.
- Managers and executives seeking data science knowledge for informed decision-making in their organizations.
- Engineering graduates aspiring to specialize in data science and machine learning.
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
NLP
Data Wrangling
Statistical Analysis
SQL
Data Ethics and Privacy
Predictive Modeling
Machine Learning
Data Mining
A/B Testing
Data Visualization
Deep Learning
Data Engineering
Tools Covered
Curriculum
- 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*
Projects
You’ll engage in various projects to enhance your proficiency in sought-after technologies, gaining valuable industry experience in the process.
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.
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.
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.
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.
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.
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.
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
- Transparent pricing structure with no hidden costs.
- Affordable options to suit various budgets.
- Flexible payment plans available for convenience.
- Comprehensive curriculum.
- Easy zero-cost EMI.
- Dedicated support.
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.
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.