Data Science Methodology in Action using ikigailabs
Gain hands-on experience in building a Data Driven AI engagement using ikigailabs
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What You Will Learn!
- Students will learn proven data science methodology to deal with big data challenges as we move from BI world to AI world.
- Students will use real case study and will gain hands-on experience in Designing / prototyping a Data science engagement on the chosen case study.
- We divide the data scientists into clickers and coders. Clickers Examples include SPSS Modeler, Excel, and ikigailabs. This course is primarily for clickers
- This course uses ikigailabs as a tool to show all necessary steps and activities needed for data science engagement.
Description
Unlock the potential of AI model development with our "Data Science in Action using Ikigailabs" course. This comprehensive program is designed to guide you through the entire process of data science, from problem selection to model deployment, using the versatile Ikigailabs platform.
Course Highlights:
Practical Methodology: Follow our modified CRISP-DM approach, tailored for big data challenges and validated through large-scale projects.
Hands-On Experience: Engage in a real-life case study, applying your skills to design and prototype a data science project.
Clicker Approach: Ideal for beginners, learn to use Ikigailabs, a user-friendly tool, to implement data science solutions without deep coding knowledge.
Comprehensive 7-Step Process: Master every aspect of data science including:
Use Case Analysis: Understand and select relevant data science use cases.
Data Exploration: Dive deep into data sources using Ikigailabs.
Data Preparation: Get hands-on with dataset preparation.
Model Development: Apply AI modeling techniques like clustering and regression.
Model Evaluation: Learn to effectively measure and evaluate your AI models.
Model Deployment: Understand the processes for deploying AI models.
Model Monitoring: Master continuous monitoring and evaluation techniques.
This course is perfect for aspiring data scientists, whether you’re a 'clicker' or a 'coder'. For those interested in further exploration, we offer courses in Python coding, advanced machine learning, and AI governance and control.
Start with setting up your Ikigailabs environment and reviewing key data science methodologies. Then, move through each step with detailed instructions, downloadable datasets, and sample codes. Complete assignments in each section and submit your final notebook for a comprehensive learning experience.
Join our "Data Science in Action using Ikigailabs" course to transform your understanding of data science and apply these skills in real-world scenarios.
Who Should Attend!
- This course is for anyone interested in becoming a data scientist such as students, business analysts, developers, testing professionals.
- There are several job categories where this course can be used as introductory material, such as data scientists, AI or automation engineer, test engineers, and knowledge engineers.