Coursera

Technology & Project Enablement

Coursera

Technology & Project Enablement

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Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Advanced level

Recommended experience

7 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Use HRIS data to generate workforce reports

  • Retrieve and prepare datasets for analytics workflows

  • Plan analytics initiatives using project management techniques

  • Design a simple end-to-end people analytics data pipeline

Details to know

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Recently updated!

April 2026

Assessments

5 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the People Analytics with AI: Data-Driven HR Strategies Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

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.

What's included

4 videos1 reading1 assignment

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.

What's included

3 videos2 readings1 assignment

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.

What's included

5 videos3 readings1 assignment

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.

What's included

5 videos3 readings1 assignment

What's included

2 readings1 assignment

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459 Courses71,614 learners

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.