Course Overview

Embark on a journey through the evolution of data science in our "Data Science in Action using Python and Generative AI" course. Witness the transition from Business Intelligence, popularized in the 1990s, to today's advanced AI-driven data analytics. This course addresses the challenges and opportunities born from the era of big data, demonstrating how traditional BI methodologies adapt to the demands of modern AI and machine learning deployments.

Course Highlights:

• Evolution of Data Science: Explore the transformation from traditional BI practices to contemporary data science in the context of AI advancements.
• Big Data Challenges: Delve into handling large volumes of data, managing high-velocity information, and interpreting diverse data types like speech, text, and video.
• Adapting CRISP-DM for Big Data: Learn our modified CRISP-DM methodology, specifically adapted for AI and big data challenges, backed by real-world case studies.
• Real-Life Case Study: Apply your skills to a relevant case study, designing and prototyping a data science project with hands-on experience.
• Python and Scikit-learn: No prior Python knowledge required. We'll guide you through using Python and Scikit-learn, key tools for any aspiring data scientist.

This course not only teaches you the technical skills of data science but also provides context on its business evolution. It's perfect for those who want to understand the full spectrum of data science applications, from its origins to its current role in extracting actionable insights from vast and varied datasets. Join us to be at the forefront of the data science revolution.