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    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
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      Azure ML: Explore & Configure the Machine Learning Workspace

      Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      BigQuery para analistas de dados

      Skills you'll gain: Looker (Software), Big Data, SQL, Data Analysis, Dashboard, Business Intelligence, Data Warehousing, Data Visualization Software, Data Manipulation, Extract, Transform, Load, Data Pipelines, Data Transformation, Data Cleansing, Data Processing, Data Import/Export, Data Storage Technologies

      Intermediate · Course · 1 - 3 Months

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

      University of Colorado Boulder

      Execution and Evaluation

      Skills you'll gain: Social Media Strategy, Social Media Campaigns, Social Media Marketing, Marketing Communications, Digital Media Strategy, Media Strategy, Marketing Planning, Customer Insights, Content Performance Analysis, Plan Execution, Earned Media, Target Audience, Content Strategy, Owned Media, Paid media, Key Performance Indicators (KPIs), Goal Setting

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Product Strategy and Roadmapping

      Skills you'll gain: Product Roadmaps, Product Strategy, User Story, Agile Product Development, Product Management, Stakeholder Management, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, User Requirements Documents, Project Management, Innovation, Technology Strategies, Change Management, Cloud Platforms, Market Research, Prioritization

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S
      I

      Multiple educators

      Generative AI for Growth Marketing

      Skills you'll gain: Prompt Engineering, Generative AI, AI Personalization, ChatGPT, Marketing Strategies, Email Marketing, Growth Strategies, Marketing Automation, OpenAI, Marketing Effectiveness, Marketing Analytics, Customer experience strategy (CX), Customer Engagement, Lead Generation, Large Language Modeling, Customer Insights, Artificial Intelligence, Program Development, Customer Retention, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション

      Skills you'll gain: Generative AI, AI Personalization, Web Analytics and SEO, Web Content, Prompt Engineering, Google Cloud Platform, User Experience, Content Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Fundamentals for Data Analysis

      Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Manipulation, Spreadsheet Software, Data Transformation, Data Validation, Data Analysis, Pivot Tables And Charts, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Google Prompting Essentials

      Skills you'll gain: Data Visualization, Prompt Engineering, Data Presentation, Data Storytelling, Sampling (Statistics), Presentations, Graphing, Generative AI Agents, ChatGPT, Data Ethics, AI Personalization, Generative AI, Brainstorming, Timelines, Excel Formulas, Data Analysis, Taking Meeting Minutes, Concision, Oral Expression, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      416 reviews

      Beginner · Specialization · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 创建嵌入、向量搜索和 RAG

      Skills you'll gain: Generative AI, Data Pipelines, Big Data, Query Languages, Feature Engineering, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Agile Product Owner Level 1 – Certification & Mock Exams

      Skills you'll gain: Agile Product Development, Sprint Retrospectives, Agile Methodology, Jira (Software), Agile Project Management, Sprint Planning, Project Estimation, Backlogs, Project Management Software, Product Requirements, Product Management, User Story, Estimation, ChatGPT, Team Management, Artificial Intelligence, Prioritization, Continuous Improvement Process

      Intermediate · Course · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Speed Up Data Analysis and Presentation Building

      Skills you'll gain: Data Visualization, Data Presentation, Data Storytelling, Sampling (Statistics), Prompt Engineering, Presentations, Graphing, Data Ethics, Excel Formulas, Data Analysis, Oral Expression, Artificial Intelligence

      4.9
      Rating, 4.9 out of 5 stars
      ·
      56 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      Responsible AI with AWS Security and Governance

      Skills you'll gain: AWS Identity and Access Management (IAM), Data Governance, Identity and Access Management, Data Ethics, Amazon Web Services, Data Management, Generative AI, Cloud Security, Cyber Governance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations), Data Security, Information Privacy

      Intermediate · Course · 1 - 4 Weeks

    People Analytics learners also search

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

    • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
    • BigQuery para analistas de dados: Google Cloud
    • Execution and Evaluation: University of Colorado Boulder
    • Product Strategy and Roadmapping: Microsoft
    • Generative AI for Growth Marketing: Starweaver
    • Google Cloud における生成 AI を使用したウェブサイトのモダナイゼーション: Google Cloud
    • Excel Fundamentals for Data Analysis: Macquarie University
    • Google Prompting Essentials: Google
    • 使用 BigQuery 创建嵌入、向量搜索和 RAG: Google Cloud
    • Agile Product Owner Level 1 – Certification & Mock Exams: Packt

    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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