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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

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

20 practice exercises

Advance your subject-matter expertise

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

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

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

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

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

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

What you'll learn

Skills you'll gain

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

What you'll learn

Skills you'll gain

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Kelley O'Connell
11 Courses34,874 learners
Arkadi Avanesyan
Coursera Instructor Network
8 Courses56,946 learners
Manish Gupta
15 Courses53,470 learners
Starweaver
Coursera Instructor Network
448 Courses841,721 learners
Diogo Resende
Coursera Instructor Network
3 Courses6,604 learners
Christopher Klaus
Coursera Instructor Network
16 Courses9,695 learners

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