This Generative AI Skills for Business Intelligence (BI) course teaches you the skills you need for your first job as an AI business intelligence analyst.

You will learn:

Job-ready AI-powered business intelligence skills in less than 1 month, plus you’ll get practical experience.
The role of generative AI in every stage of the BI lifecycle and the use of generative AI to improve data handling and analysis in BI.
How to leverage generative AI-powered tools for enhanced data visualization and reporting in BI.
Ethical considerations and challenges in implementing generative AI in BI.

Course Overview

Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for leveraging generative AI across different stages of the BI lifecycle.

The course teaches how generative AI-based tools enable querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation.

You will learn how generative AI can be useful for interactive data visualizations, including generating data infographics and dashboards. Using generative AI tools, you will learn to create and analyze reports and presentations.

You will learn about text generation and summarization through generative AI and conversational interfaces in BI. The course also provides useful insights into ethical considerations, challenges, and limitations of using generative AI for BI.

The course also offers hands-on labs and a project to showcase your proficiency in applying generative AI to different use cases in the BI domain. With a blend of theory, hands-on labs, and real-world case studies, you’ll effectively use cutting-edge BI tools and techniques for business success.

You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career.

This course is suitable for existing BI Analysts as well as those starting their careers in this domain.

Course Syllabus

Module 0: Welcome

· Video: Course Introduction

· Reading: General Information

· Reading: Learning Objectives and Syllabus

· Reading: Grading Scheme

· Reading: How to make the most of this course

Module 1: Data Handling and Cleansing

· Reading: Module Introduction and Learning Objectives

· Video: Role of Generative AI in the BI Lifecycle

· Video: Generative AI Technologies and Tools for BI

· Reading: Latest Trends and Tools

· Video: Synthetic Data Generation with AI

· Video: Data Cleansing: Anomaly Detection and Handling Missing Data

· Hands-On lab: Data Generation and Cleansing

· Practice Quiz: Data Handling and Cleansing

· Reading: Module 1 Summary: Data Handling and Cleansing

· Graded Quiz - Module 1: Data Handling and Cleansing

Module 2: Data Analysis

· Reading: Module Introduction & Learning Objectives

· Video: Querying documents and spreadsheets with AI

· Video: Querying Databases Using Natural Language

· Video: SQL generation with AI tools

· Lab: Generating SQL queries with AI

· Video: Data Clustering and Segmentation

· Hands-on lab: Data analysis using generative AI tools

· Practice Quiz: Data Analysis

· Discussion Prompt: Generative AI for Enhanced Decision-Making in BI

· Reading: Module 2 Summary - Data Analysis

· Graded Quiz -Module 2: Data Analysis

Module 3: Data Visualization and Reporting

· Reading: Module Introduction & Learning Objectives

· Video: Automated and interactive data visualization with Generative AI

· Video: Generating infographics and data-driven narratives

· Video: Creating Dashboards

· Hands-on lab: Dashboards with AI

· Reading: Resources: Data Visualization and Dashboards

· Video: Creating reports using AI

· Video: Creating Presentation for stakeholders Using AI

· Hands-on lab: Text generation and summarization

· Video: Conversational interfaces for BI Analysts

· Practice quiz: Data Visualization and Reporting

· Reading: Module 3 Summary: Data Visualization and Reporting

· Module 3 Graded Quiz: Data Visualization and Reporting

· [Optional] Discussion Prompt: Balancing Generative AI and Human Intelligence in Business Intelligence

Module 4: Ethical Considerations, Course Quiz, Project, and Wrap-up

· Reading: Module Introduction & Learning Objectives

· Video: Bias and impact on business analytics

· Video: Issues with mathematical calculations and hallucinations

· Video: Future trends and challenges

· Practice quiz: Module 4: Ethical Considerations

· Reading: Transparency and interpretability

· Reading: Ethical Considerations and Limitations of Generative AI in BI

· Final Project: AI-Powered Visualizations

· Glossary: Generative AI: Elevate your Business Intelligence Career

· Final Exam: Generative AI: Elevate your BI Career

· Retake Exam

Module: Wrap-up

· Video: Course Wrap-up

· Reading: Congratulations and Next Steps

· Reading: Additional Resources & References

· Reading: Team and Acknowledgments

· Copyrights and Trademarks

Course Rating

· Feedback

Recommended Skills Prior to Taking this Course

To get the most out of this course, you should have a background in business intelligence and basic knowledge of generative AI.

Generative AI Skills for Business Intelligence (BI)

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