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AI-Powered Business Analysis: Excel, KPIs & GenAI Specialization
Coursera Instructor Network

AI-Powered Business Analysis: Excel, KPIs & GenAI Specialization

Transform business analysis with AI and Excel. Master GenAI tools for faster insights, better KPIs, and data-driven decisions.

Kelley O'Connell
Arkadi Avanesyan
Manish Gupta

Instructors: Kelley O'Connell

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a Certificate
With paid plans

What you'll learn

  • Apply GenAI tools like ChatGPT to automate business analysis tasks and generate faster insights across multiple industries.

  • Build advanced Excel solutions using VBA macros, statistical analysis, and KPI frameworks for data-driven decision making.

  • Create impactful data visualizations and reports using AI-powered tools while maintaining ethical AI practices.

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Taught in English
Recently updated!

August 2025

20 practice exercises

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Coursera Instructor Network

Specialization - 7 course series

What you'll learn

  • Identify the key concepts and benefits of using AI in the Healthcare Industry.

  • Illustrate and explain the use of AI in the Finance Industry.

  • Examine and evaluate the use of AI in the Manufacturing Industry.

Skills you'll gain

Artificial Intelligence, Generative AI, AI Product Strategy, Emerging Technologies, Case Studies, Critical Thinking, Automation, Finance, Analysis, Business Process Automation, and Healthcare Industry Knowledge

What you'll learn

  • Identify specific methods and techniques for leveraging GenAI to enhance business process modeling, requirements gathering & stakeholder management.

  • Examine real-world applications of GenAI in business analysis to streamline work and foster innovation.

  • Develop strategies for responsible GenAI integration while maintaining human oversight and accountability.

Skills you'll gain

Generative AI, Business Intelligence, Business Process, Business Process Improvement, Business Analytics, Responsible AI, Business Process Modeling, Data Processing, Business Analysis, Stakeholder Management, Data Visualization Software, and Analytics

What you'll learn

  • Explain the importance of KPIs in achieving organizational goals.

  • Identify the right KPIs for different business units and objectives.

  • Implement KPIs within your business framework, employing best practices for data collection and analysis to drive improvement.

  • Assess the impact of KPI-driven strategies on business performance, using data to iterate and enhance business processes.

Skills you'll gain

Key Performance Indicators (KPIs), Operational Efficiency, Business Process Improvement, Business Reporting, Performance Measurement, Business Priorities, Business Analysis, Business Metrics, Continuous Improvement Process, Smart Goals, Data-Driven Decision-Making, Performance Analysis, and Performance Improvement

What you'll learn

  • Analyze the basics of Excel VBA and Macros to understand their functions and applications.

  • Design macros using the Excel and VBA editor to automate routine tasks.

  • Implement macros to automate repetitive tasks, enhancing productivity.

  • Evaluate and debug VBA code to ensure efficient data manipulation and analysis.

Skills you'll gain

Automation, Visual Basic (Programming Language), Excel Macros, Spreadsheet Software, Strategic Decision-Making, Excel Formulas, Programming Principles, Data Transformation, Debugging, Data Cleansing, Data Analysis Expressions (DAX), Productivity Software, and Microsoft Excel

What you'll learn

  • Practice with Excel's Analysis ToolPak to perform advanced statistical analysis.

  • Evaluate various hypothesis tests within Excel, including t-tests and ANOVA.

  • Analyze business problems with the use of Excel to conduct simple and multiple regression analyses

Skills you'll gain

Regression Analysis, Statistical Hypothesis Testing, Variance Analysis, Probability & Statistics, Microsoft Excel, Data Analysis, Business Analysis, Quality Control, Case Studies, Data Manipulation, Analytics, Statistical Analysis, Correlation Analysis, Forecasting, Data-Driven Decision-Making, Data Visualization, and Business Analytics

What you'll learn

Skills you'll gain

Prompt Engineering, Data Analysis, Natural Language Processing, OpenAI, ChatGPT, Data-Driven Decision-Making, LLM Application, Data Validation, and Analytical Skills

What you'll learn

Skills you'll gain

Data Storytelling, Generative AI, Data Ethics, Plotly, Responsible AI, Interactive Data Visualization, Artificial Intelligence, Seaborn, Prompt Engineering, Data Presentation, Data Visualization Software, Automation, and Matplotlib

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Instructors

Kelley O'Connell
11 Courses34,738 learners
Arkadi Avanesyan
Coursera Instructor Network
8 Courses56,730 learners
Manish Gupta
15 Courses53,270 learners

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