Ementorhub

What you'll learn

Recognize what Generative AI (GenAI) is and what it can and cannot do, in general.

Evaluate the results of GenAI for a real-world application in data scientist functions.

Deploy strategies and tactics to responsibly integrate GenAI into data Science practices, while maintaining human oversight and accountability.

Skills you'll gain

Applied Machine Learning

Machine Learning Methods

Data Ethics

Exploratory Data Analysis

Data Quality

Data Science

Generative AI

Deep Learning

Analysis

Prompt Engineering

Predictive Modeling

Data-Driven Decision-Making

There is 1 module in this course

This course is designed for team leads and managers looking to incorporate GenAI into their strategic initiatives, as well as individual data scientists and analysts eager to enhance their daily tasks with advanced GenAI techniques. It is also suitable for professionals aiming to advance their careers by mastering cutting-edge GenAI applications in data science. Learners should have a basic understanding of data analytics, statistical methods, and machine learning, along with familiarity with programming languages like Python or R. An open mindset and eagerness to explore new technologies are also essential. The curriculum covers the fundamentals of machine learning models, data augmentation, and ethical considerations, providing insights into how GenAI can enhance analytical precision and foster innovation.