Overview

Generative AI is reshaping the future of data analysis and data science, creating unprecedented opportunities to extract insights and make data-driven decisions faster and more efficiently. This course is designed to equip you with the essential knowledge and practical skills needed to thrive in this rapidly evolving field.Instructor Dan Sullivan guides you through a comprehensive curriculum that combines foundational data science principles with cutting-edge generative AI techniques. You will learn to approach complex business and data questions methodically, breaking them down into actionable tasks that can be solved programmatically.This program centers around three critical pillars for success in data analysis and data science:Robust problem-solving skills: Develop the ability to think critically and solve real-world data challenges with structured approaches.In-depth statistical and machine learning knowledge: Master key concepts including data types, descriptive and inferential statistics, correlation, regression, supervised and unsupervised learning, clustering, neural networks, deep learning, anomaly detection, and time series analysis.Hands-on data management expertise: Gain practical experience working with data files and databases, improving data quality, cleaning, metadata management, and overseeing the full data lifecycle.By integrating generative AI with traditional data science workflows, you will learn how to automate analysis, enhance data-driven decisions, and build sophisticated predictive models. This course balances theory and practice with real-world examples and coding exercises in Python and SQL, preparing you to apply your skills confidently in professional environments.Join this transformative learning journey to become a highly skilled data analyst or data scientist capable of harnessing the power of generative AI for impactful data solutions.

Skills

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