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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: Free Trial
    Free Trial
    U

    University of Pennsylvania

    People Analytics

    Skills you'll gain: People Analytics, Talent Management, Human Resources Management and Planning, Workforce Planning, Collaboration, Organizational Effectiveness, Performance Analysis, Data-Driven Decision-Making, Analytics, Employee Retention, Data Analysis, Employee Performance Management, Performance Management, Predictive Analytics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Irvine

    Human Resources Analytics

    Skills you'll gain: Key Performance Indicators (KPIs), Employee Surveys, Performance Measurement, Human Resources Management and Planning, Data Analysis Software, Microsoft Excel, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Predictive Analytics: Apply, Analyze & Interpret

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Predictive Analytics, Data Analysis, Minitab, Statistical Methods, Forecasting, Business Analytics, Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Case Studies, Financial Analysis, Microsoft Excel

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Literacy, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, LinkedIn, Dashboard, Data Processing, Interviewing Skills, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    177K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    I

    IBM

    Python for Data Science, AI & Development

    Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Predictive Modeling, Matplotlib, Data Manipulation, Applied Machine Learning, Injury Prevention, Analytics, Data Analysis, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    272 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Analyst

    Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    96K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Visualization

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Data Architecture, Data Cleansing, Data Transformation, Database Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    125 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Business Analytics

    Skills you'll gain: People Analytics, Data-Driven Decision-Making, Fraud detection, Business Analytics, Descriptive Analytics, Business Intelligence, Financial Data, Business Research, Marketing Analytics, Talent Management, Financial Analysis, Predictive Analytics, Human Resources Management and Planning, Peer Review, Data Analysis, Business Analysis, Operations Research, Financial Statement Analysis, Analytics, Financial Forecasting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • People Analytics: University of Pennsylvania
  • Human Resources Analytics: University of California, Irvine
  • Predictive Analytics: Apply, Analyze & Interpret: EDUCBA
  • Microsoft Power BI Data Analyst: Microsoft
  • Google Data Analytics: Google
  • Excel Basics for Data Analysis: IBM
  • Python for Data Science, AI & Development: IBM
  • Introduction to Data Analytics: IBM
  • Sports Performance Analytics: University of Michigan
  • IBM Data Analyst: IBM

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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