人力资源解析课程
人力资源解析课程可以帮助您学习数据收集技巧、统计分析、劳动力规划和员工绩效指标。您可以培养解读数据趋势、创建 Dashboard 和做出数据驱动决策的技能，从而提高员工的参与度。许多课程都会介绍用于数据操作的 Excel、用于 Visualization 的 Tableau 和用于管理员工数据的 HRIS 系统等工具，展示这些技能如何优化人才管理和提高组织效率。
热门人力资源解析课程与认证
状态：新状态：免费试用您将获得的技能: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
您将获得的技能: Digital Advertising, Content Performance Analysis, Advertising Campaigns, Advertising, Social Media Marketing, Social Media Campaigns, Web Analytics, Campaign Management
状态：预览Universidad de Palermo
您将获得的技能: Revenue Management, Cross Selling, Market Analysis, Competitive Analysis, Upselling, Market Dynamics, Financial Management, Price Negotiation, Forecasting, Property Management Systems, Customer Analysis, Business Strategies, Marketing Channel, Business Intelligence Software, Time Series Analysis and Forecasting, Decision Making
状态：免费试用Universidades Anáhuac
您将获得的技能: Data-Driven Decision-Making, AI Enablement, Artificial Intelligence, Entrepreneurship, Classification Algorithms, Business Solutions, Customer Analysis, New Business Development, Big Data, Machine Learning, Image Analysis, Business Technologies, Virtual Teams, Natural Language Processing
Google Cloud
您将获得的技能: Data Quality, Data Lakes, Data Governance, Data Validation, Google Cloud Platform, Data Analysis, Data Warehousing, Query Languages
状态：新状态：免费试用University of Pittsburgh
您将获得的技能: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
状态：新您将获得的技能: Security Information and Event Management (SIEM), Threat Detection, Microsoft Azure, Anomaly Detection, Cyber Threat Intelligence, Security Management, Cloud Management, Application Deployment, Role-Based Access Control (RBAC), Incident Response, Identity and Access Management, Automation, Query Languages
Google Cloud
您将获得的技能: Cloud-Based Integration, Real Time Data, Data Pipelines, Apache Spark, Data Integration, Data Transformation, Data Wrangling, Data Analysis, Data Visualization, Data Management
状态：免费试用University of Michigan
您将获得的技能: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
状态：免费试用您将获得的技能: Overcoming Objections, Stakeholder Engagement, Influencing, Diversity and Inclusion, Diversity Awareness, Persuasive Communication, Stakeholder Analysis, Conflict Management, Active Listening, Collaboration, Communication, Communication Strategies, Simulation and Simulation Software, Decision Making
状态：预览University of Virginia
您将获得的技能: Digital Transformation, Business Transformation, Technology Strategies, Design Thinking, Product Lifecycle Management, Business Process Reengineering, Business Strategies, Market Dynamics, Competitive Analysis, Business Economics, Emerging Technologies, Innovation, Market Analysis, Data-Driven Decision-Making
总之，以下是 10 最受欢迎的 hr analytics 课程
- Statistics for Data Science with Python: EDUCBA
- Как пользоваться Twitter Ad Manager и смотреть результаты: Coursera
- Gestión de Ingresos: Universidad de Palermo
- Mejora tu negocio con Inteligencia Artificial: Universidades Anáhuac
- Assessing Data Quality with Dataplex: Google Cloud
- Interactive, Geospatial & Narrative Data Visualization: University of Pittsburgh
- Microsoft Sentinel Skills: Packt
- Building Realtime Pipelines in Cloud Data Fusion: Google Cloud
- Network Modeling and Analysis in Python: University of Michigan
- Data Science Fundamentals Part 2: Unit 2: Pearson
