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    • People Analytics

    People Analytics Courses Online

    Learn people analytics for data-driven HR management. Understand how to collect, analyze, and interpret HR data to improve organizational performance.

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    Explore the People Analytics Course Catalog

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Biz Dev: Identifying Growth Opportunities

      Skills you'll gain: Competitive Analysis, Business Development, Data-Driven Decision-Making, Generative AI, Market Opportunities, Market Analysis, Market Research, Trend Analysis, Business Analytics, Growth Strategies, Market Trend, Business Intelligence, Business Strategy, Strategic Decision-Making, Marketing Strategies, Artificial Intelligence, Predictive Analytics, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Starweaver

      How to Build an Entrepreneurial AI Strategy

      Skills you'll gain: Scalability, Entrepreneurship, Business Strategy, ChatGPT, Strategic Thinking, Business Process Automation, Business Analysis, Business Solutions, AI Personalization, Cost Reduction, Generative AI Agents, Innovation, Operational Efficiency

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Data to Advance Population Health: Global Perspectives

      Skills you'll gain: Health Policy, Data Presentation, Health Disparities, Health Equity, Epidemiology, Data Visualization, Data Quality, Public Health, Data-Driven Decision-Making, Policy Analysis, Data Analysis, Data Collection

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Planning for your Google Workspace Deployment 日本語版

      Skills you'll gain: User Provisioning, Data Migration, Change Management, Google Workspace, Organizational Change, Data Import/Export, Administration, Project Planning, Application Deployment, Workflow Management, Calendar Management, Email Security, Resource Allocation, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Export Data from Google Earth Engine to BigQuery

      Skills you'll gain: Looker (Software), Spatial Data Analysis, Data Import/Export, Data Visualization, Query Languages, Data Integration, Data Mapping, Big Data, Geographic Information Systems

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Intro to Predictive Analytics Using Python

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Predictive Modeling, Predictive Analytics, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Forecasting, Random Forest Algorithm, Scikit Learn (Machine Learning Library), Data Analysis, Regression Analysis, Machine Learning, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      사람, 기술, 모빌리티의 미래

      Skills you'll gain: Social Sciences, Automation, Economics, Policy, and Social Studies, Socioeconomics, Energy and Utilities, Electric Power Systems, Transportation Operations, Health Equity, Policy Analysis, Emerging Technologies, Technology Roadmaps, Civil Engineering, Electrical Engineering, Augmented and Virtual Reality (AR/VR), Environment, Safety and Security, Information Privacy, Artificial Intelligence

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Data Publishing on BigQuery using Authorized Views for Data Sharing Partners

      Skills you'll gain: Data Sharing, Customer Data Management, Data Integration, Big Data, Data Access, Business Intelligence, Google Cloud Platform

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      S

      Starweaver

      Mastering Active Listening in the Global Workplace

      Skills you'll gain: Active Listening, Non-Verbal Communication, Empathy, Rapport Building, Interpersonal Communications, Cultural Sensitivity, Professional Development, Leadership, Collaboration, Teamwork, Conflict Management, Cultural Diversity, Communication

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      투자 기술의 혁신: AI

      Skills you'll gain: FinTech, Wealth Management, Investments, Asset Management, Investment Management, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Financial Trading, Artificial Neural Networks, Artificial Intelligence, Data-Driven Decision-Making, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Visualization and Modeling in Python

      Skills you'll gain: Matplotlib, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Visualization (Computer Graphics), Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Probability & Statistics, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Designing and Querying Bigtable Schemas

      Skills you'll gain: Database Design, Google Cloud Platform, Data Access, Big Data, Command-Line Interface

      Beginner · Project · Less Than 2 Hours

    People Analytics learners also search

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    1…279280281…305

    In summary, here are 10 of our most popular people analytics courses

    • GenAI for Biz Dev: Identifying Growth Opportunities: Coursera Instructor Network
    • How to Build an Entrepreneurial AI Strategy : Starweaver
    • Data to Advance Population Health: Global Perspectives: Johns Hopkins University
    • Planning for your Google Workspace Deployment 日本語版 : Google Cloud
    • Export Data from Google Earth Engine to BigQuery: Google Cloud
    • Intro to Predictive Analytics Using Python: University of Pennsylvania
    • 사람, 기술, 모빌리티의 미래: University of Michigan
    • Data Publishing on BigQuery using Authorized Views for Data Sharing Partners: Google Cloud
    • Mastering Active Listening in the Global Workplace: Starweaver
    • 투자 기술의 혁신: AI: University of Michigan

    Skills you can learn in Business Essentials

    Analytics (37)
    Presentation (33)
    Modeling (29)
    Business Analytics (27)
    Language (26)
    Microsoft Excel (26)
    Writing (26)
    Speech (18)
    Plan (17)
    Business Communication (16)
    Decision-making (16)
    Leadership (15)

    Frequently Asked Questions about People Analytics

    People Analytics is a field that utilizes data and analytics to gain insights into people-related processes and behavior within organizations. It involves collecting and analyzing data about employees to identify patterns, correlations, and trends that can help organizations make informed decisions about their workforce. By leveraging data from various sources such as employee surveys, performance reviews, recruitment data, and more, People Analytics aims to improve employee retention, engagement, productivity, and overall organizational performance. Additionally, it can also provide insights into areas such as diversity and inclusion, talent management, and workforce planning.‎

    To excel in People Analytics, you will need to learn a combination of technical and soft skills. Here are some essential skills you should focus on:

    1. Data analysis: Acquire skills in data analysis by learning statistical concepts, data visualization tools (e.g., Tableau, Power BI), and programming languages such as Python or R. A strong foundation in data analysis will allow you to understand and interpret workforce data effectively.

    2. Human resources (HR) knowledge: Familiarize yourself with HR practices and concepts to understand the context of People Analytics better. Gain knowledge about recruitment, employee engagement, retention strategies, talent management, and organizational behavior.

    3. Problem-solving: Develop strong analytical and problem-solving skills to identify patterns, trends, and insights within HR data. This will help you address various HR challenges and make data-driven decisions.

    4. Communication and storytelling: Enhance your communication skills to effectively convey complex data analysis findings to stakeholders. Develop the ability to transform technical findings into actionable insights in a compelling manner to influence decision-making.

    5. Ethical considerations: Understand the ethical implications surrounding People Analytics. Learn about data privacy, security, and compliance regulations to ensure responsible and ethical use of employee data.

    6. Change management: Comprehend change management principles to successfully implement People Analytics initiatives within organizations. Learn how to communicate the benefits, address resistance, and drive adoption to maximize the impact of your data-driven recommendations.

    7. Continuous learning: Stay updated with the latest industry trends, emerging technologies, and best practices related to People Analytics. Embrace a growth mindset and seek opportunities to upskill and expand your knowledge base.

    Remember that People Analytics is an interdisciplinary field, combining HR, data analysis, and strategy. By developing a strong foundation in these areas, you will be well-equipped to thrive in the field of People Analytics.‎

    With People Analytics skills, there are a variety of job opportunities available in various industries. Some examples of jobs that you can pursue include:

    1. HR Analyst: As an HR Analyst, you will use your People Analytics skills to analyze workforce data, identify trends, and provide insights to improve employee engagement, retention, and overall HR strategies.

    2. Talent Acquisition Specialist: With People Analytics skills, you can work as a Talent Acquisition Specialist, leveraging data to streamline recruitment processes, create efficient sourcing strategies, and make data-driven decisions when selecting candidates.

    3. Organizational Development Consultant: As an Organizational Development Consultant, you will utilize People Analytics to conduct assessments, identify gaps, and design and implement strategies to develop and improve an organization's talent, culture, and performance.

    4. Employee Experience Manager: In this role, you will focus on analyzing employee feedback, sentiment, and engagement data to improve the overall employee experience. People Analytics skills will enable you to identify areas of improvement and implement initiatives that enhance employee satisfaction and productivity.

    5. Workforce Planning Analyst: With People Analytics skills, you can work as a Workforce Planning Analyst, analyzing historical and current data to forecast future talent needs, identify skill gaps, and develop workforce strategies to ensure an organization has the right people in the right roles at the right time.

    6. HR Data Analyst: As an HR Data Analyst, you will utilize People Analytics skills to gather, clean, and analyze HR data, providing meaningful insights to support decision-making processes related to talent management, compensation, and employee engagement.

    These are just a few examples, and the field of People Analytics is rapidly growing, providing numerous job opportunities in HR, talent management, and organizational development across various sectors.‎

    People who are interested in human behavior, data analysis, and have a strong understanding of business and organizational dynamics are best suited for studying People Analytics. Additionally, individuals who have a passion for using data to drive decision-making and improve organizational performance will find this field particularly rewarding.‎

    Here are some topics related to People Analytics that you can study:

    1. Data analysis: Learn the fundamentals of data analysis, including data collection, data cleaning, statistical analysis, and data visualization.

    2. Human resources management: Understand the role of human resources in organizations and how people analytics can be applied to improve employee performance, engagement, and retention.

    3. Organizational psychology: Explore the psychological aspects of employees' behavior, motivation, and attitudes within an organizational context.

    4. Machine learning and predictive analytics: Gain knowledge in machine learning algorithms and predictive modeling to analyze large datasets and make data-driven predictions about employee behavior and performance.

    5. Ethical considerations in people analytics: Learn about the ethical considerations and privacy concerns associated with using data for people analytics and how to ensure ethical and responsible use of data.

    6. Talent acquisition and retention strategies: Study how people analytics can be used to identify and attract top talent, as well as retain and develop existing employees.

    7. Employee engagement and satisfaction: Explore ways to measure and improve employee engagement and satisfaction using people analytics techniques.

    8. Diversity and inclusion: Understand how people analytics can help organizations identify and address diversity and inclusion challenges, promote fairness, and create a more inclusive work environment.

    9. HR technology and software: Familiarize yourself with the various HR technology tools and software that support people analytics initiatives, such as HRIS (Human Resource Information Systems).

    10. Case studies and real-world applications: Study real-world examples and case studies of organizations that have successfully implemented people analytics strategies and learn from their experiences.

    Remember, the field of People Analytics is constantly evolving, so it's essential to stay updated with the latest trends, research, and advancements in the field.‎

    Online People Analytics courses offer a convenient and flexible way to enhance your knowledge or learn new People Analytics is a field that utilizes data and analytics to gain insights into people-related processes and behavior within organizations. It involves collecting and analyzing data about employees to identify patterns, correlations, and trends that can help organizations make informed decisions about their workforce. By leveraging data from various sources such as employee surveys, performance reviews, recruitment data, and more, People Analytics aims to improve employee retention, engagement, productivity, and overall organizational performance. Additionally, it can also provide insights into areas such as diversity and inclusion, talent management, and workforce planning. skills. Choose from a wide range of People Analytics courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in People Analytics, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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