Ementorhub

What you'll learn

Leverage generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai, available to Data Scientists for querying and preparing data

Examine real-world scenarios where generative AI can enhance data science workflows

Practice generative AI skills in hand-on labs and projects by generating and augmenting datasets for specific use cases

Apply generative AI techniques in the development and refinement of machine learning models

Skills you'll gain

Data Synthesis

Data Modeling

Data Presentation

Exploratory Data Analysis

Predictive Modeling

Data Cleansing

Data Analysis

Natural Language Processing

Predictive Analytics

Feature Engineering

Generative AI

Data Visualization Software

Data Ethics

Data Manipulation

Data Storytelling

There are 3 modules in this course

This course is suitable for existing and aspiring data scientists, data professionals, analysts, and engineers. The course addresses real-world data science problems data scientists encounter—across multiple industries— with data generation, data augmentation, and feature engineering. Gain skills you can immediately put to use implementing generative AI models and techniques that address these real-world issues. Then, learn how to use generative AI to speed data visualizations, build models and to produce data insights. You’ll also learn about key ethics considerations around generative AI and data, key concerns for executives across industries. Demonstrate your new generative AI skills in a hands-on data augmentation and feature engineering project that you can apply in your real-life profession. Then complete your final quiz to earn your certificate. You can share both your project and certificate with your current or prospective employers.

Use of Generative AI for Data Science

Final Project and Exam