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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

    • A

      Amazon Web Services

      Getting Started with Data Analytics on AWS

      Skills you'll gain: Descriptive Analytics, Analytics, Data Analysis, Dashboard, Data Literacy, AWS Identity and Access Management (IAM), Data Visualization, Amazon Web Services, Big Data, Amazon S3, Business Intelligence, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      891 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Machine Learning Methods, Interviewing Skills, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Plotly, Machine Learning Algorithms, Interactive Data Visualization, Knitr

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Data Visualization, Data Storage Technologies, Predictive Analytics, Analytics, Business Analytics, Data Storage, Big Data, Risk Analysis, Databases, Data Modeling, Business Analysis, Business Intelligence, Data Visualization Software, Data Analysis, Decision Making, Data Cleansing, Predictive Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rutgers the State University of New Jersey

      Supply Chain Analytics

      Skills you'll gain: Demand Planning, Competitive Intelligence, Strategic Sourcing, Competitive Analysis, Procurement, Market Intelligence, Purchasing, Supplier Management, Supply Chain, Inventory Management, Supply Management, Vendor Management, Management Consulting, Data Collection, Inventory Control, Business Consulting, Supply Chain Management, Inventory Control Systems, Forecasting, Supplier Performance Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of User Experience (UX) Design

      Skills you'll gain: Design Thinking, User Research, User Experience Design, User Centered Design, Usability, Web Content Accessibility Guidelines, Cross Platform Development, Prototyping, Wireframing, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      73K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      187 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Foundations for Business

      Skills you'll gain: Large Language Modeling, Artificial Intelligence, Data Literacy, Data Mining, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Information Architecture, Strategic Decision-Making, Enterprise Architecture, ChatGPT, Cloud Computing, Data Analysis, Data Science, Deep Learning, Machine Learning, Data Strategy, Business Strategy, Business Process Automation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      94K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Business Metrics for Data-Driven Companies

      Skills you'll gain: Business Analytics, Business Metrics, Analytics, Business Process Improvement, Business Intelligence, Tableau Software, Data Analysis, Big Data, Key Performance Indicators (KPIs), Spreadsheet Software, Web Analytics, Data-Driven Decision-Making, Business Strategy, Digital Transformation, E-Commerce, Financial Services, SQL

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Data Analytics for Business

      Skills you'll gain: Data Governance, Data Storage Technologies, Analytics, Business Analytics, Data Storage, Big Data, Databases, Business Intelligence, Data Analysis, Relational Databases, Data Quality, SQL, Organizational Structure, Cloud Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

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

      Google Cloud

      Google Cloud Data Analytics

      Skills you'll gain: Data Lakes, Data Storytelling, Data Governance, Data Presentation, Data Architecture, Data Pipelines, Data Visualization Software, Dashboard, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Cloud Storage, Data Transformation, Cloud Computing, Google Cloud Platform, Database Management, Data Ethics, Data Analysis, Analytics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      168 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, Cloud Computing, Data Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99K reviews

      Beginner · Specialization · 3 - 6 Months

    People Analytics learners also search

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

    • Getting Started with Data Analytics on AWS: Amazon Web Services
    • Google Advanced Data Analytics Capstone: Google
    • Data Science: Johns Hopkins University
    • Advanced Business Analytics: University of Colorado Boulder
    • Supply Chain Analytics: Rutgers the State University of New Jersey
    • Foundations of User Experience (UX) Design: Google
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
    • IBM AI Foundations for Business: IBM
    • Business Metrics for Data-Driven Companies: Duke University
    • Introduction to Data Analytics for Business: University of Colorado Boulder

    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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