Data Science in Action using ikigailabs
Master AI Model Development Using Ikigailabs and CRISP-DM
 
 
👉 Start learning today and gain a competitive edge in AI!
 
Course Overview
Unlock the potential of AI model development with "Data Science in Action using Ikigailabs." This self-paced course is designed to guide you through the entire data science lifecycle — from selecting a business problem to deploying and monitoring AI models — using the versatile and user-friendly Ikigailabs platform.
Following a modified CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology tailored for big data challenges, this course equips you with both the theoretical knowledge and practical experience needed to build AI models effectively. You will explore every step of the data science process — including data exploration, feature engineering, model training, evaluation, and deployment — using Ikigailabs’ intuitive platform.
Through a real-world case study focused on Health Equity, you will apply your skills to design and prototype a data science project. This course takes a ‘clicker’ approach — ideal for those with minimal coding experience — providing step-by-step instructions to help you navigate the Ikigailabs platform confidently.
By the end of the course, you’ll have the expertise to design, build, and deploy AI models using Ikigailabs, and understand how to apply these skills to solve complex business challenges.
 
Key Learning Objectives
By the end of this course, you will be able to:
✅ Understand the CRISP-DM methodology – Master the modified CRISP-DM framework for big data and AI challenges.
✅ Analyze and define use cases – Identify and articulate business problems that can be solved with AI.
✅ Explore and prepare data using Ikigailabs – Load, clean, and preprocess data within the Ikigailabs environment.
✅ Develop AI models – Build clustering, regression, and classification models using Ikigailabs’ graphical interface.
✅ Evaluate model performance – Measure and refine model accuracy using evaluation metrics.
✅ Deploy AI models – Learn how to integrate AI models into business processes and production environments.
✅ Monitor and improve AI models – Establish continuous monitoring and feedback loops to improve performance over time.
✅ Leverage Ikigailabs for business impact – Use Ikigailabs’ intuitive platform to solve business problems effectively without deep coding knowledge.
 
Who Should Attend
This course is ideal for:
✔️ Aspiring data scientists looking for a practical, hands-on introduction to AI modeling.
✔️ Business analysts and consultants seeking to integrate AI into business processes.
✔️ IT professionals and solution architects building AI-driven business applications.
✔️ Product managers developing AI-based products and services.
✔️ ‘Clickers’ — professionals using GUI-based AI tools like SPSS Modeler, Excel, and Ikigailabs.
 
Prerequisites
To enroll in this course, you should have:
Basic understanding of data analysis and business processes.
No prior coding experience is required — the course takes a 'clicker' approach using Ikigailabs.
An analytical mindset and a willingness to learn.
 
Expected Outcome
Upon successful completion of the course, you will:
✅ Gain a comprehensive understanding of data science methodology using the CRISP-DM framework.
✅ Develop AI models using Ikigailabs’ no-code/low-code platform.
✅ Apply AI solutions to real-world challenges, including a health equity case study.
✅ Build and deploy AI models effectively using Ikigailabs’ intuitive interface.
✅ Monitor and refine AI models for improved accuracy and business impact.
✅ Understand the key differences between ‘clickers’ and ‘coders’ in AI development.
✅ Earn a recognized certification in Data Science using Ikigailabs from the Applied AI Institute (AAII).