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Keep shoppingAI for Business Analysts: Analytics, BI & Generative AI
New
49 students
AI for Business Analysts: Analytics, BI & Generative AI
Master business analytics with Excel, SQL, Power BI, AI automation, forecasting, and Generative AI tools.
Created bySelfcode Academy
Last updated 7/2026
English
English [Auto],
What you'll learn
- You will learn how modern business analysts use AI, analytics, and data-driven frameworks to solve real business problems.
- You will analyze data using Excel, SQL, Power BI, and AI tools to create dashboards and business reports.
- You will use generative AI to automate reporting, generate SQL queries, and extract insights from data.
- You will build forecasting, optimization, and decision-support systems using practical business scenarios.
- You will automate business workflows using tools such as Power Automate, UiPath, Zapier, and Google Apps Script.
- You will complete industry-focused projects covering analytics, automation, governance, and AI adoption.
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Course content
13 sections • 126 lectures • 48h 59m total length
Requirements
- No prior experience in business analytics or artificial intelligence is required to take this course.
- You only need a computer with internet access and a willingness to learn through practical exercises.
- Basic knowledge of spreadsheets such as Excel or Google Sheets will be helpful but is not mandatory.
- All the tools, concepts, and business frameworks used in the course will be explained from scratch.
- No programming or machine learning experience is needed, as the course is designed for beginners.
- A curiosity about data, business processes, and AI technologies will help you get the most from this course.
Description
Business analytics is evolving rapidly. Today's business analysts are expected to do far more than create reports and dashboards—they need to work with AI tools, automate workflows, uncover insights from data, and support strategic decision-making.
This course is designed to help you become a modern, AI-powered business analyst.
Whether you are a student, an aspiring business analyst, a manager, or a working professional looking to upgrade your skills, this course will guide you from the fundamentals of business analysis to advanced analytics and intelligent automation. You do not need any prior experience with artificial intelligence or programming to get started.
You will begin by understanding the role of business analysts in the AI era and learn how traditional business intelligence is transforming through data analytics and artificial intelligence. You will explore business problem framing, KPI design, data collection, data quality, and ethical considerations.
The course then dives into practical analytics skills using Excel, Google Sheets, SQL, Power BI, Tableau, and Looker Studio. You will learn how to clean data, create dashboards, analyze customer behavior, and communicate insights through effective data storytelling.
As you progress, you will discover how artificial intelligence and machine learning are changing business decision-making. You will explore supervised and unsupervised learning, AutoML tools, generative AI, prompt engineering, and automated report generation using platforms such as ChatGPT, Claude, and Microsoft Copilot.
In the advanced sections, you will work with forecasting, trend analysis, optimization models, Monte Carlo simulations, business process automation, document AI, OCR systems, recommendation engines, and decision-support systems.
The course also covers responsible AI practices, governance, bias mitigation, explainable AI, privacy regulations, and security considerations to ensure that you can confidently use AI in real business environments.
Throughout the course, you will complete quizzes, case studies, and hands-on projects, including sales dashboards, customer analytics, churn prediction, business intelligence reports, automation workflows, and industry-ready capstone projects.
In this course, you will learn:
Business analysis and data-driven decision-making.
Excel, SQL, Power BI, Tableau, and Looker Studio.
Generative AI tools such as ChatGPT and Microsoft Copilot.
Forecasting, optimization, and predictive analytics.
Business process automation with AI.
AI governance, ethics, and explainability.
Dashboard creation and data storytelling.
Industry-ready business analytics workflows.
By the end of this course, you will have the practical skills required to combine business analytics, business intelligence, and artificial intelligence to solve real-world business problems.
Who this course is for:
- This course is designed for aspiring business analysts who want to integrate AI into their daily work.
- This course is ideal for professionals who want to upgrade their analytics and decision-making skills.
- This course is suitable for MBA students, consultants, and managers interested in AI-driven business.
- This course is for data analysts and Excel users who want to transition into business analytics roles.
- This course is valuable for anyone who wants to combine business intelligence, automation, and AI.
- This course is perfect for beginners looking to build industry-ready skills in business analytics.