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People Data Foundations: Metrics & Visualization 专项课程

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Coursera

People Data Foundations: Metrics & Visualization 专项课程

Learn HR Analytics with AI-Powered Insights.

Transform workforce data into strategic decisions using modern visualization and analysis tools

Coursera Support
Ritesh Vajariya

位教师:Coursera Support

包含在 Coursera Plus

深入学习学科知识
初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Extract, clean, and analyze HRIS data to create reliable workforce insights

  • Build dashboards and visualizations that communicate HR metrics effectively

  • Apply statistical thinking and AI tools to make evidence-based workforce decisions

要了解的详细信息

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授课语言:英语(English)
最近已更新!

April 2026

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  • 培养对关键概念的深入理解
  • 通过 Coursera 获得职业证书

专业化 - 11门课程系列

Decode HR Metrics

Decode HR Metrics

第 1 门课程, 小时

您将学到什么

  • Use fundamental HR data terms to interpret workforce reports.

  • Apply Excel formulas to calculate turnover rate and average tenure.

  • Analyze metric findings to communicate insights to stakeholders.

Leverage HRIS Data

Leverage HRIS Data

第 2 门课程, 小时

您将学到什么

  • Understand how an HRIS captures employee-lifecycle data.

  • Enter mock employee records into an HRIS sandbox and generate a headcount report.

  • Analyze HRIS findings to document insights using AI-assisted communication.

Retrieve & Prep Data

Retrieve & Prep Data

第 3 门课程, 小时

您将学到什么

  • Use data storage format knowledge to identify import issues.

  • Apply correct import settings in Excel.

  • Analyze data quality using a systematic cleaning checklist.

Visualize Workforce Metrics

Visualize Workforce Metrics

第 4 门课程, 小时

您将学到什么

  • Understand core workforce metrics.

  • Populate a dashboard template with HRIS data.

  • Analyze dashboard findings to communicate insights effectively using AI tools.

您将获得的技能

类别:Human Resources Information System (HRIS)
类别:Business Metrics
类别:Data Visualization
类别:Generative AI Agents
类别:Data-Driven Decision-Making
类别:Data Mapping
类别:Data Import/Export
类别:Performance Metric
类别:HR Tech
类别:Key Performance Indicators (KPIs)
类别:Dashboard
类别:ChatGPT
类别:People Analytics
类别:Sales Presentations
类别:Employee Engagement
类别:Stakeholder Communications
类别:Workforce Management
类别:Verification And Validation
类别:Data Storytelling
类别:Employee Retention
Chart HR Trends

Chart HR Trends

第 5 门课程, 小时

您将学到什么

  • Explain why chart type selection matters for interpreting workforce turnover trends clearly and accurately.

  • Build a clustered bar chart in Excel comparing quarterly turnover by gender.

  • Use AI to articulate patterns and explain why clustered bars communicate comparison data better than pie charts, reducing HR metrics misreading.

Apply Basic HR Stats

Apply Basic HR Stats

第 6 门课程, 小时

您将学到什么

  • Explain why statistical significance matters when comparing engagement survey scores across departments.

  • Conduct a basic t-test in Excel using the T.TEST function to compare two groups.

  • Use AI tools like ChatGPT to interpret results and apply the 0.05 threshold to classify findings as significant or not significant.

Make Data Decisions

Make Data Decisions

第 7 门课程, 小时

您将学到什么

  • Use performance, tenure, and potential data to inform promotion decisions by completing a weighted decision matrix.

  • Analyze results to draft data-driven recommendations with AI assistance.

Measure Engagement Drivers

Measure Engagement Drivers

第 8 门课程, 小时

您将学到什么

  • Calculate an engagement index using survey data.

  • Identify focus areas by evaluating driver-level scores.

  • Document findings using AI-assisted communication for stakeholders.

Identify Talent Risks

Identify Talent Risks

第 9 门课程, 小时

您将学到什么

  • Identify high-potential employees at risk of leaving by applying turnover and performance data to a spreadsheet model.

  • Flag at-risk individuals with defensible explanations.

  • Use AI to help document reasoning for stakeholders.

Solve HR Problems with Root-Cause Analysis

Solve HR Problems with Root-Cause Analysis

第 10 门课程, 小时

您将学到什么

  • Identify root causes of absenteeism spikes by applying the fishbone diagram methodology.

  • Classify potential causes into structured categories.

  • Document analysis using AI-assisted reflection that explains why systematic root-cause analysis outperforms intuitive problem-solving.

Report Findings Effectively

Report Findings Effectively

第 11 门课程, 小时

您将学到什么

  • Transform engagement survey data into a clear two-page executive report.

  • Structure the report into four essesntial sections: Objective, Methodology, Findings, and Actions.

  • Craft action recommendations that decision-makers can act on immediately.

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位教师

Coursera Support
Coursera
11 门课程218 名学生
Ritesh Vajariya
Coursera
11 门课程218 名学生

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