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Claude for HR Analytics and People KPI with AI + Excel [EN]

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0(221 students)

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This course contains the use of artificial intelligence. A CEO walks into your office and asks: “Who is going to leave the company next quarter? ” You open Excel—and realize the answer will take three days.

An HRIS export full of duplicates and missing values, pivot tables built from memory, educated guesses about turnover drivers, and four rewritten versions of the presentation. Meanwhile, the business expects an answer in 30 minutes. Today, AI closes that gap.

According to KPMG, the share of organizations implementing AI agents grew from 11% to 42% in just two quarters. HR professionals without AI skills risk remaining administrative specialists—and leadership notices. The question is not whether AI-powered analytics will transform HR.

The question is whether you will be among the first to master it. This course is not a collection of prompts. It is a complete system built around five AI agents using Claude and Excel, designed with the proprietary PEARL methodology: Prepare → Explore → Analyze → Reveal → Lead.

No SQL. No Python. No Tableau.

No data engineers. Zero lines of code throughout the entire course. Just your HRIS, Claude, and the spreadsheets you already use every day.

Course CurriculumHR Dataset Preparation — The Curator Agent cleans your HRIS export and creates a “golden” HR dataset in Excel in just 30 minutes. Descriptive Workforce Analytics — The Analyst Agent builds a complete company profile, including headcount, demographics, attrition, and hiring funnel metrics. Turnover and Pay Gap Diagnostics — The Detective Agent uncovers the real drivers of employee exits, identifies pay gaps, and highlights workforce anomalies.

Attrition and Hiring Gap Forecasting — The Predictor Agent creates risk scores and quarterly forecasts using transparent, easy-to-understand business rules. Board Reporting and Executive Communication — The Reporter Agent builds a board-ready presentation using Claude, Excel, and PowerPoint. The entire course follows a single end-to-end case study: TechFlow, a 250-employee technology company with a realistic HRIS export.

Every lesson builds on the outputs from the previous one. By the end of the program, you will have five completed deliverables: Master Dataset, Snapshot Dashboard, Diagnosis Report, Risk & Forecast Model, and Board Deck—all fully adaptable to your own organization. While some HR teams still spend weeks preparing reports manually, others already provide board-level answers in under 30 minutes and advance faster in both title and compensation.

Every month of delay means another quarterly report consuming three days of your professional life. What You Will GetLifetime access to all course materialsActive instructor support through the Q&A sectionUdemy Certificate of CompletionPractical, job-ready skills you can apply immediatelyReal business case studies and the end-to-end TechFlow projectAccess to the student communityA program valued at $1,000, available at a substantial discount through the platformEnroll today and, after the very first lesson, prepare a clean HR dataset for your company in 30 minutes instead of three days.

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Human ResourcesEnglish

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Level: All Levels

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Duration: Self-paced

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Udemy Instructor

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AI for Business Leaders

Udemy Instructor

This course contains the use of artificial intelligence.AI for Business Leaders is a practical, non-technical course designed to help executives, managers, entrepreneurs, and decision-makers understand how to create business value with artificial intelligence. Rather than focusing on coding or complex machine learning theory, the course explains how leaders can develop an AI strategy, identify valuable opportunities, evaluate investments, manage organizational change, and lead responsible adoption.You will begin by learning what business leaders need to know about artificial intelligence, generative AI, automation, data, and modern AI capabilities. You will explore the major drivers of AI adoption, including productivity, customer expectations, competitive pressure, cost reduction, innovation, and improved decision-making. You will also learn how to align AI initiatives with business goals instead of adopting technology without a clear purpose.The course then focuses on AI use-case discovery. You will learn how to examine workflows, customer journeys, business problems, employee activities, and information bottlenecks to identify potential opportunities. You will use practical prioritization frameworks to compare use cases based on expected value, technical feasibility, organizational readiness, data availability, implementation effort, and risk.You will also explore AI return on investment and business-case development. The course explains how to estimate productivity gains, cost savings, revenue opportunities, quality improvements, risk reduction, and implementation expenses. You will learn why successful AI decisions require more than a promising demonstration and how to evaluate long-term value, scalability, and total cost of ownership.AI adoption often changes how people work. You will examine workflow redesign, change management, employee communication, training, and capability building. You will learn how leaders can reduce resistance, create realistic expectations, and design processes that combine AI automation with human judgment and accountability.The vendor-evaluation section helps you compare AI platforms, software providers, consulting partners, and internal development approaches. You will learn how to make informed buy-versus-build decisions by considering cost, implementation speed, customization, integration, security, intellectual property, vendor dependency, and internal expertise.The final section focuses on leading AI adoption. You will learn how executive sponsorship, governance, accountability, cross-functional collaboration, and measurable outcomes support successful transformation. You will also identify useful metrics for adoption, financial impact, productivity, customer satisfaction, quality, risk, and employee experience.By the end of AI for Business Leaders, you will be able to identify valuable AI opportunities, prioritize investments, evaluate vendors, assess ROI, guide organizational change, and create a practical adoption roadmap. You will also understand how to balance innovation with governance, security, accountability, and responsible AI practices.This course is ideal for executives, managers, business owners, consultants, strategists, product leaders, and professionals responsible for shaping how their organizations adopt and scale artificial intelligence.

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Claude for HR Analytics and People KPI with AI + Excel [EN]

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