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    Related topics:사람 분석시간채용운영 분석경영분석

    필터링 기준

    "hr analytics"에 대한 257개의 결과

    • University of California, Irvine

      University of California, Irvine

      Human Resources Analytics

      획득할 기술: Strategy and Operations, Data Analysis, Human Resources, Recruitment, Analytics, Employee Relations, Resource, Communication, Analysis

      4.6

      (628개의 검토)

      Mixed · Course · 1-4 Weeks

    • University of Pennsylvania

      University of Pennsylvania

      People Analytics

      획득할 기술: Data Analysis, Performance Management, Human Resources, Strategy and Operations, Leadership and Management, Communication, Business Analysis, Collaboration, Analysis, People Analysis, Talent Management, Performance, Analytics

      4.6

      (5.5k개의 검토)

      Mixed · Course · 1-4 Weeks

    • Coursera Project Network

      Coursera Project Network

      HR Analytics- Build an HR dashboard using Power BI

      획득할 기술: Machine Learning

      4.3

      (28개의 검토)

      Beginner · Rhyme Project · Less Than 2 Hours

    • University of Minnesota

      University of Minnesota

      Human Resource Management: HR for People Managers

      획득할 기술: Benefits, Business Psychology, Compensation, Entrepreneurship, Human Resources, Leadership and Management, Marketing, Performance, Performance Management, Recruitment, Resource, Strategy and Operations

      4.8

      (11.5k개의 검토)

      Beginner · Specialization · 3+ Months

    • University of Pennsylvania

      University of Pennsylvania

      Business Analytics

      획득할 기술: Accounting, Analysis, Analytics, Big Data, Business Analysis, Collaboration, Communication, Computational Logic, Computer Programming, Computer Programming Tools, Customer Analysis, Data Analysis, Data Analysis Software, Data Management, Data Structures, Decision Making, Decision Tree, Entrepreneurship, Financial Analysis, Forecasting, General Statistics, Human Resources, Leadership and Management, Marketing, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Operational Analysis, People Analysis, Performance Management, Probability & Statistics, Research and Design, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Supply Chain and Logistics, Talent Management, Theoretical Computer Science

      4.6

      (16.4k개의 검토)

      Beginner · Specialization · 3+ Months

    • Coursera Project Network

      Coursera Project Network

      Hiring and Onboarding Employees with ClickUp

      획득할 기술: Human Resources, Leadership and Management, Strategy and Operations, Entrepreneurship, Analysis, Planning

      4.5

      (219개의 검토)

      Intermediate · Rhyme Project · Less Than 2 Hours

    • Placeholder

      무료

      Stanford University

      Stanford University

      Organizational Analysis

      획득할 기술: Organizational Development, Marketing, Human Resources, Entrepreneurship, Strategy, Leadership and Management, General Statistics, Strategy and Operations, Business Psychology, Social Media, Communication, Business Process Management, Sales, Probability & Statistics, Analysis

      4.6

      (1.2k개의 검토)

      Beginner · Course · 1-3 Months

    • Placeholder
      The State University of New York

      The State University of New York

      Strategic Career Self-Management

      획득할 기술: Marketing, Project Management, Human Resources, Human Computer Interaction, Market Research, Brand Management, Entrepreneurship, Business Psychology, Communication, Leadership and Management, Research and Design, Strategy and Operations, Sales, Computer Graphics, Design and Product, User Research, Graphic Design, Strategy

      4.5

      (275개의 검토)

      Mixed · Course · 1-3 Months

    • Placeholder
      Coursera Project Network

      Coursera Project Network

      Automize Business Communication using Power Automate

      획득할 기술: Security Engineering, Spreadsheet Software, Data Analysis, Microsoft Excel, Business Analysis, Computer Networking, Spreadsheet, Network Security

      4.7

      (9개의 검토)

      Beginner · Rhyme Project · Less Than 2 Hours

    • Placeholder
      Coursera Project Network

      Coursera Project Network

      Building a Hiring Plan by Analyzing Past Data in Sheets

      획득할 기술: Human Resources, Marketing, Entrepreneurship, Strategy, Leadership and Management, Strategy and Operations, Data Analysis, Recruitment, Analysis, Sales

      4.7

      (31개의 검토)

      Beginner · Rhyme Project · Less Than 2 Hours

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      University of Minnesota

      University of Minnesota

      Recruiting, Hiring, and Onboarding Employees

      획득할 기술: Human Resources, Leadership and Management, Employment, Recruitment, Resource

      4.7

      (3.5k개의 검토)

      Mixed · Course · 1-4 Weeks

    • Placeholder
      Coursera Project Network

      Coursera Project Network

      Automating Team Communication with Google Sheets and Apps Script

      획득할 기술: Human Resources, Web Development, Spreadsheet Software, Data Analysis, Project Management, Business Analysis, Strategy and Operations, Computer Programming, Javascript

      4.5

      (108개의 검토)

      Intermediate · Rhyme Project · Less Than 2 Hours

    hr analytics과(와) 관련된 검색

    hr analytics- build an hr dashboard using power bi
    1234…22

    요약하자면, 여기에 가장 인기 있는 hr analytics 강좌 10개가 있습니다.

    • Human Resources Analytics: University of California, Irvine
    • People Analytics: University of Pennsylvania
    • HR Analytics- Build an HR dashboard using Power BI: Coursera Project Network
    • Human Resource Management: HR for People Managers: University of Minnesota
    • Business Analytics: University of Pennsylvania
    • Hiring and Onboarding Employees with ClickUp: Coursera Project Network
    • Organizational Analysis: Stanford University
    • Strategic Career Self-Management: The State University of New York
    • Automize Business Communication using Power Automate: Coursera Project Network
    • Building a Hiring Plan by Analyzing Past Data in Sheets: Coursera Project Network

    Hr Analytics에 대한 자주 묻는 질문

    • Human resource (HR) analytics, sometimes called “people analytics,” is the use of data within an organization to analyze and improve employee performance and retention. Just as in other areas of business analytics, the advent of the big data era has created new opportunities to harness data to accomplish important HR goals more efficiently and effectively than traditional approaches.

      For example, an analytics-based approach can aid in talent management by enabling HR professionals to proactively target the best candidates for a job through digital platforms like LinkedIn or ZipRecruiter. Organizations can also refine their HR strategy and identify their most pressing recruitment needs through a data-based evaluation of current staff performance and skills gaps.

      HR analytics can also help with performance management, thanks to the ability to tap into more granular and accessible data about the day-to-day work of employees. With greater visibility into which employees are more and less effective at their jobs, HR managers can better target interventions when an employee is struggling - or when they deserve to be rewarded. This data is also useful when it comes time for performance appraisal, as it establishes an objective, shared framework to discuss an employee’s performance.

      At the end of the day, HR is still fundamentally about managing people and interpersonal relationships. However, the ability to ensure that important HR decisions are informed by data and not just subjective feelings about employees can be a boon to managers and personnel alike.‎

    • A background in HR analytics is increasingly important for a career in human resources, given the ability of this data-driven approach to improve day-to-day operations as well as long-term strategic HR decision-making. An understanding of this field is particularly indispensable in large corporations or tech sector companies where it is increasingly expected that all major business decisions should be based on hard data whenever possible.

      With a median annual pay of $113,300 per year according to the Bureau of Labor Statistics, human resources manager is a highly desirable job, making this skill-set quite valuable. These jobs are also expected to grow faster than the national average over the next 10 years, as companies continue to learn the importance of recruiting and retaining talent

      Beyond HR management roles, a basic familiarity with HR analytics is also increasingly important for CEOs and other C-suite positions. As with the rise of business analytics in other areas, it is no longer necessary - or, in some companies, acceptable - to make important decisions based solely on “gut feelings,” and hiring and firing employees is no exception.‎

    • Certainly. Whether you’re just starting a career or are a seasoned HR professional wanting to keep up with trends in your field, Coursera has a wide range of courses and Specializations to meet your needs. In addition to courses in HR analytics and people analytics, you can also find opportunities to hone your skills in related fields like data science and human resources more broadly.

      With the opportunity to learn remotely at top-ranked schools like the University of Pennsylvania and the University of Minnesota, you won’t have to settle for a lower quality education to learn online through Coursera. These online courses are also available at significantly lower tuition than on-campus students, making this a great investment in your future regardless of the current stage of your career.‎

    • Any sort of background in business, whether it's working, taking classes, or starting your own as an entrepreneur, can be helpful when learning about HR analytics. A background in human resources or marketing can help even more. And any experience you have working with data, analytics, or statistics can be extremely beneficial. You'll also need experience with computers and technology since this is usually how data is gathered for HR analytics. Work experience, training, or volunteer work in the fields of psychology and communications may also help you better understand the data that drives HR analytics.‎

    • As the name suggests, people who work in HR analytics need to be analytical. You need to have a good eye for detail, and you'll need good interpersonal skills, as you'll be working with employees and management on a daily basis. You need to be a good leader, and you'll need some management skills to work in a role that involves HR analytics. Good organizational skills, as well as the ability and confidence to make sound decisions are also important. Finally, you must enjoy using computers and technology. The job requires you to utilize several applications and software, and that will become even more necessary in the future.‎

    • Anyone who wants to work for a large company and help it reach its goals through business management can benefit from studying HR analytics. You may be just starting out in the business world, or you may already work in a field like human resources and want to advance your career. As a matter of fact, some human resources experience may be required before you can become an HR analyst. If you enjoy the psychology of business, coming up with strategies to improve the way a business operates, and you're a good influencer, learning HR analytics may be right for you.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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