Ementorhub

What you'll learn

Describe how you can use Generative AI tools and techniques in the context of data analytics across industries

Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools

Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights

Analyze the ethical considerations and challenges associated with using Generative AI in data analytics

Skills you'll gain

SQL

Data Analysis

Dashboard

Query Languages

ChatGPT

Data Ethics

Data Storytelling

Data Visualization Software

Artificial Intelligence and Machine Learning (AI/ML)

Python Programming

Prompt Engineering

Analytics

OpenAI

Generative AI

There are 3 modules in this course

In this course, you will examine real-world applications and use generative AI to gain data insights using techniques such as prompts, visualization, storytelling, querying and so on. In addition, you will understand the ethical implications, considerations, and challenges of using generative AI in data analytics across different industries. You will acquire practical experience through hands-on labs where you will leverage generative AI models and tools such as ChatGPT, ChatCSV, Mostly.AI, SQLthroughAI and more. Finally, you will apply the concepts learned throughout the course to a data analytics project. Also, you will have an opportunity to test your knowledge with practice and graded quizzes and earn a certificate. This course is suitable for both practicing data analysts as well as learners aspiring to start a career in data analytics. It requires some basic knowledge of data analytics, prompt engineering, Python programming and generative artificial intelligence.

Use of Generative AI for Data Analytics

Final Project and Exam