HR analytics courses can help you learn data collection techniques, statistical analysis, workforce planning, and employee performance metrics. You can build skills in interpreting data trends, creating dashboards, and making data-driven decisions to enhance employee engagement. Many courses introduce tools like Excel for data manipulation, Tableau for visualization, and HRIS systems for managing employee data, demonstrating how these skills can optimize talent management and improve organizational effectiveness.

University of Illinois Urbana-Champaign
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Analysis, Statistics, Quantitative Research, Business Analysis, Business Risk Management, Statistical Analysis, Data-Driven Decision-Making, Statistical Visualization, Statistical Methods, Microsoft Excel, Probability Distribution, Data Presentation, Influencing
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management
Mixed · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Analytical Skills, Programming Principles, Computer Science, Data Analysis, Computer Programming, Algorithms, Verification And Validation, Systems Analysis, Software Development, Machine Learning
Beginner · Course · 1 - 3 Months

Banco Interamericano de Desarrollo
Skills you'll gain: Emerging Technologies, FinTech, Digital Transformation, Sustainable Development, Business Technologies, Strategic Partnership, Corporate Strategy, Technology Strategies, Stakeholder Analysis, Innovation, Market Opportunities, Economic Development, Market Analysis
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Prompt Engineering, Risk Modeling, Risk Analysis, Continuous Monitoring, Data Synthesis, Generative AI, Project Risk Management, Risk Management, Operational Risk, Data-Driven Decision-Making, Business Risk Management, Data Integration, Decision Support Systems, AI Security, Anomaly Detection, Threat Detection, Automation
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Sheets, Data Sharing, Google Cloud Platform, Spreadsheet Software, Big Data, Data Import/Export, Data Analysis, Real Time Data, Cloud Computing
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Grafana, Apache Kafka, Real Time Data, Data Pipelines, Dashboard, Data Synthesis, Interactive Data Visualization, Data Visualization Software, Data Analysis
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Presentations, Customer Analysis, Target Market, Marketing Materials, Target Audience, Market Analysis, Marketing, Design
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Supervised Learning, Machine Learning, Pandas (Python Package), Machine Learning Algorithms, Unsupervised Learning, Feature Engineering, Taxonomy, Data Analysis, Artificial Intelligence, Deep Learning
Intermediate · Course · 1 - 3 Months

Pearson
Skills you'll gain: Amazon CloudWatch, AWS Kinesis, Application Performance Management, System Monitoring, Cloud Applications, Performance Tuning, Real Time Data, Analytics, Amazon S3, Continuous Monitoring, Debugging, Anomaly Detection, Network Troubleshooting, Ad Hoc Analysis, Query Languages
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks