AI for Data Analysis and Business Decision-Making

This intermediate course teaches learners how to use AI as a practical assistant for data analysis and business decision-making. Learners will understand how to prepare data, ask better analytical questions, summarize spreadsheet information, identify patterns, and turn raw data into useful insights. The course focuses on everyday business data such as sales records, customer feedback, survey results, expenses, performance reports, and operational information. Learners will also practice using AI to explain trends, generate simple charts, prepare management summaries, and recommend action steps based on available data. By the end of the course, learners should be able to use AI to analyze simple business datasets and produce clear, practical decision-support reports.

Business owners, managers, accountants, analysts, administrators, students, entrepreneurs, and professionals who want to use AI to understand data and make better decisions.

• Understand how AI can support practical data analysis and business decision-making.
• Prepare simple business data for AI-assisted analysis.
• Ask better analytical questions when working with spreadsheets, reports, and business records.
• Use AI to summarize sales records, expenses, customer feedback, survey results, and operational data.
• Identify patterns, trends, outliers, and performance changes in business data.
• Turn raw data into clear insights and practical recommendations.
• Use AI to explain data findings in simple business language.
• Create management summaries from spreadsheet and report data.

• Structured intermediate-level lessons.
• Practical business data analysis examples.
• AI-assisted spreadsheet analysis guidance.
• Data cleaning and preparation practice.
• Trend, pattern, and outlier review examples.
• Management summary writing practice.
• Simple chart and visual insight guidance.
• Practice tasks based on real business scenarios.
• Knowledge checks to test understanding.
• Final assessment to confirm learning.
• Certificate after successful completion and passing the final assessment.
• Access to AI tutor support during learning.
• Self-paced learning experience.
• Practical skills for business, finance, operations, customer feedback, reporting, and decision-making.

• You will be able to use AI to analyze simple business datasets.
• You will be able to clean and organize data before asking AI to review it.
• You will be able to summarize spreadsheet information into clear findings.
• You will be able to identify useful trends, patterns, and outliers.
• You will be able to ask better business questions from available data.
• You will be able to turn AI analysis into practical recommendations.