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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: Free Trial
      Free Trial
      Y

      Yonsei University

      Emerging Technologies: From Smartphones to IoT to Big Data

      Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Cloud Services, Internet Of Things, Live Streaming, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Multimedia, Emerging Technologies, Mobile Development, Apple iOS, Display Devices

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      International and Cross-Cultural Negotiation

      Skills you'll gain: Communication Strategies, Cultural Sensitivity, Intercultural Competence, Cultural Diversity, Verbal Communication Skills, Communication, Relationship Building, Non-Verbal Communication, Negotiation, International Relations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      618 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Google SEO Capstone Project

      Skills you'll gain: Search Engine Optimization, Keyword Research, Web Analytics and SEO, Competitive Analysis, Peer Review, Presentations, Content Strategy, Digital Marketing, Proposal Writing, Client Services, Technical Consulting, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      475 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Data Analytics in Google Cloud

      Skills you'll gain: Cloud Infrastructure, Data Management, Data Governance, Cloud Computing, Google Cloud Platform, Cloud Services, Big Data, Cloud Storage, Data Analysis, Data Warehousing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Measuring Disease in Epidemiology

      Skills you'll gain: Epidemiology, Public Health, Preventative Care, Biostatistics, Program Evaluation, General Medical Tests and Procedures, Probability & Statistics, Risk Analysis, Quantitative Research, Health Policy, Science and Research, Statistical Methods, Research

      4.7
      Rating, 4.7 out of 5 stars
      ·
      770 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Knowledge Accelerators

      Data-Driven Decisions with Power BI

      Skills you'll gain: Power BI, Dashboard, Data Import/Export, Data Transformation, Data Analysis, Data Cleansing, Data Presentation, Data Modeling, Data Visualization Software, Business Intelligence Software, Interactive Data Visualization, Data-Driven Decision-Making, Data Sharing, Data Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      263 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Cape Town

      Large Marine Ecosystems: Assessment and Management

      Skills you'll gain: Environment and Resource Management, Natural Resource Management, Environmental Management Systems, Environmental Science, Water Resources, Social Sciences, Environmental Policy, Governance, Environmental Monitoring, Socioeconomics, International Relations, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      304 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      321 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Johns Hopkins Medical Office Manager

      Skills you'll gain: Medical Billing and Coding, Patient Registration, Care Management, Medical Privacy, Revenue Cycle Management, Practice Management, Organizational Change, Change Management, Performance Review, Data Management, ICD Coding (ICD-9/ICD-10), Medical Terminology, Claims Processing, Human Resource Policies, Patient Safety, Continuous Quality Improvement (CQI), Case Management, Performance Improvement, Data Integrity, Healthcare Industry Knowledge

      4.8
      Rating, 4.8 out of 5 stars
      ·
      61 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Scientist Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Talent Sourcing, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Applicant Tracking Systems, Problem Solving, Communication, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Artificial Intelligence Practitioner

      Skills you'll gain: Data Ethics, Unsupervised Learning, Random Forest Algorithm, Data Analysis, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Data Collection, Deep Learning, Workflow Management, MLOps (Machine Learning Operations), Statistical Analysis, Linear Algebra, Applied Machine Learning, Business Ethics, Compliance Management, Learning Strategies, Test Planning, Productivity, Registration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      271 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    People Analytics learners also search

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    1…666768…306

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

    • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
    • International and Cross-Cultural Negotiation: ESSEC Business School
    • Google SEO Capstone Project: University of California, Davis
    • Introduction to Data Analytics in Google Cloud: Google Cloud
    • Measuring Disease in Epidemiology: Imperial College London
    • Data-Driven Decisions with Power BI: Knowledge Accelerators
    • Large Marine Ecosystems: Assessment and Management: University of Cape Town
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Unsupervised Machine Learning: IBM
    • Johns Hopkins Medical Office Manager: Johns Hopkins University

    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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