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In diesem Kurs gibt es 5 Module
This course introduces the technical and operational components of people analytics. You'll learn how HRIS systems store workforce data, how to retrieve and prepare datasets, and how to manage analytics initiatives.
You'll explore how employee lifecycle data is captured in HR systems and practice generating workforce reports. The course then covers retrieving data from common formats such as CSV files and preparing it for analysis. You'll also learn project planning concepts including milestones, dependencies, and risk management.
Through guided exercises, you'll create a simple project plan for delivering an analytics dashboard. The course concludes with a hands-on project focused on building an end-to-end analytics data pipeline.
Designed for HR and business professionals involved in analytics initiatives, this course strengthens your ability to manage the technical side of people analytics.
In this module, you'll apply your understanding of why HRIS data quality matters and what happens when lifecycle data is captured incorrectly. Through a discovery role play, you'll uncover knowledge gaps, then build foundational understanding of how an HRIS captures, stores, and updates employee data from hire to exit.
Das ist alles enthalten
4 Videos1 Lektüre1 Aufgabe
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 25 Minuten
Welcome: Why HRIS Data Accuracy Matters•3 Minuten
What is an HRIS and Why it Matters•7 Minuten
The Employee Lifecycle in HRIS Data•7 Minuten
Entering Your First Employee Records•8 Minuten
1 Lektüre•Insgesamt 5 Minuten
How HRIS Data Flows from Hire to Exit•5 Minuten
1 Aufgabe•Insgesamt 30 Minuten
Data Flows from Hire to Exit•30 Minuten
Leverage HRIS Data: From Records to Reports
Modul 2•1 Stunde abzuschließen
Moduldetails
In this module, you'll move from data entry to generating actionable reports. You'll apply techniques to run a headcount-by-department report, export results to CSV, and document your findings using AI-assisted communication—while verifying that AI outputs accurately reflect your actual data.
Das ist alles enthalten
3 Videos2 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
3 Videos•Insgesamt 19 Minuten
Running Your Headcount Report•6 Minuten
The Complete Workflow—From Entry to Export•10 Minuten
Congratulations: Your HRIS Data Foundation•3 Minuten
2 Lektüren•Insgesamt 20 Minuten
Making HRIS Reports Work for Workforce Decisions•10 Minuten
Building Your HR Technology Practice•10 Minuten
1 Aufgabe•Insgesamt 30 Minuten
Final Assessment•30 Minuten
Retrieve & Prep Data
Modul 3•1 Stunde abzuschließen
Moduldetails
Your CSV import failed. The columns are wrong. Dates look like numbers. Sound familiar? You'll use your knowledge of the two data formats that power people analytics—CSV files and SQL tables—and apply that understanding to prevent downstream disasters. You'll practice importing CSV files into Excel with the right delimiter, encoding, and type-detection settings, so your data loads correctly the first time. You'll then analyze your imported data using a systematic cleaning checklist to identify hidden columns, verify row counts against the source, and save validated files. Using AI tools like ChatGPT, you'll document your cleaning steps and practice verifying that AI-generated summaries match your actual data. Through realistic role plays where you troubleshoot messy HRIS exports and explain your process to an auditor, and coach dialogues where you navigate sensitive data decisions, you'll build the data preparation habits that separate reliable analysis from guesswork. Designed for HR professionals and aspiring people analysts. Basic spreadsheet familiarity helpful. Access to free ChatGPT or Claude recommended.
Das ist alles enthalten
5 Videos3 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
5 Videos•Insgesamt 38 Minuten
CSV Files: What's Actually Inside That .csv•6 Minuten
SQL Tables: The Structured Alternative•6 Minuten
Downloading and Importing: Access, Settings, and Gotchas•9 Minuten
From Imported to Inspected: Your First Data Quality Check•6 Minuten
The Complete Workflow: Import, Clean, Verify, Document•10 Minuten
3 Lektüren•Insgesamt 20 Minuten
CSV vs. SQL: Two Formats Every HR Analyst Must Know•5 Minuten
Cleaning Your Data: A Systematic Approach•5 Minuten
Building Your People Analytics Practice: Resources & Next Steps•10 Minuten
1 Aufgabe•Insgesamt 30 Minuten
Final Assessment•30 Minuten
Plan Analytics Projects
Modul 4•1 Stunde abzuschließen
Moduldetails
Your turnover dashboard is behind schedule. Again. Why? This course teaches you to define project planning terms (milestone, dependency, risk), build a simple Gantt chart for an HR analytics deployment, and document the risks that derail rollouts before they become emergencies. You'll apply lessons from real cases where payroll systems launched without testing and cost millions. Using AI tools like ChatGPT, you'll draft stakeholder updates and risk mitigation plans—then verify the AI's output matches your actual data. Through realistic role plays where you present project plans to steering committees and coach dialogues where you navigate competing priorities and resource constraints, you'll develop the planning discipline that separates successful deployments from headline disasters. Designed for HR professionals, people analytics practitioners, and anyone tasked with deploying HR technology. No project management background required. Access to free ChatGPT or Claude recommended.
Das ist alles enthalten
5 Videos3 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
5 Videos•Insgesamt 35 Minuten
Milestones: The Checkpoints That Keep You Honest•7 Minuten
Dependencies and Risks: What Must Happen First, and What Could Go Wrong•7 Minuten
Creating Tasks in Your Gantt Template•6 Minuten
Setting Dates and Showing Dependencies in Your Gantt•6 Minuten
The Complete Gantt: Four Tasks, Dates, Dependencies, and Export•9 Minuten
3 Lektüren•Insgesamt 15 Minuten
Project Planning for HR Analytics: Milestones, Dependencies, and Risks•5 Minuten
Identifying and Documenting Project Risks•5 Minuten
Building Your People Analytics Practice: Resources & Next Steps•5 Minuten
1 Aufgabe•Insgesamt 30 Minuten
Final Assessment•30 Minuten
Project: End-to-End Data Pipeline
Modul 5•2 Stunden abzuschließen
Moduldetails
Das ist alles enthalten
2 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
2 Lektüren•Insgesamt 20 Minuten
End-to-End Data Pipeline — Overview & Instructions •10 Minuten
Requirements & Specifications•10 Minuten
1 Aufgabe•Insgesamt 120 Minuten
End-to-End Data Pipeline — Overview & Instructions •120 Minuten
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