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    • Hr Analytics
    Related topics:people analyticsчПодбор кадрованалитика операцийтоп-менеджерАналитика

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    Результатов для запроса ''hr analytics': 268

    • University of California, Irvine

      University of California, Irvine

      Human Resources Analytics

      Получаемые навыки: Employee Relations, Analysis, Data Analysis, Strategy and Operations, Analytics, Recruitment, Human Resources, Resource, Communication

      4.6

      (рецензий: 669)

      Mixed · Course

    • University of Pennsylvania

      University of Pennsylvania

      People Analytics

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

      4.6

      (рецензий: 5.6k)

      Mixed · Course

    • University of Pennsylvania

      University of Pennsylvania

      Business Analytics

      Получаемые навыки: 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

      (рецензий: 16.5k)

      Beginner · Specialization

    • Coursera Project Network

      Coursera Project Network

      HR Analytics- Build an HR dashboard using Power BI

      Получаемые навыки: Machine Learning

      4.3

      (рецензий: 30)

      Beginner · Guided Project

    • Бесплатно

      Stanford University

      Stanford University

      Organizational Analysis

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

      4.6

      (рецензий: 1.2k)

      Beginner · Course

    • University of Minnesota

      University of Minnesota

      Human Resource Management: HR for People Managers

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

      4.8

      (рецензий: 11.6k)

      Beginner · Specialization

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      Coursera Project Network

      Coursera Project Network

      Building a Hiring Plan by Analyzing Past Data in Sheets

      Получаемые навыки: Entrepreneurship, Analysis, Recruitment, Leadership and Management, Sales, Strategy, Strategy and Operations, Data Analysis, Marketing, Human Resources

      4.7

      (рецензий: 31)

      Beginner · Guided Project

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      University of Minnesota

      University of Minnesota

      Recruiting, Hiring, and Onboarding Employees

      Получаемые навыки: Leadership and Management, Human Resources, Recruitment, Employment, Resource

      4.7

      (рецензий: 3.6k)

      Mixed · Course

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      ESSEC Business School

      ESSEC Business School

      Foundations of strategic business analytics

      Получаемые навыки: Data Management, Statistical Programming, Analysis, Business Analytics, Forecasting, Data Analysis, R Programming, Strategy and Operations, Business Analysis, Probability & Statistics, Analytics

      4.4

      (рецензий: 627)

      Mixed · Course

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      University of Toronto

      University of Toronto

      Gender Analytics: Gender Equity through Inclusive Design

      Получаемые навыки: Analysis, Bias, Business Analysis, Business Psychology, Business Research, Change Management, Conflict Management, Critical Thinking, Customer Relationship Management, Data Analysis, Data Management, Database Design, Databases, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Human Resources, Leadership Development, Leadership and Management, Marketing, Operations Research, People Analysis, People Management, Persona Research, Problem Solving, Product Design, Project Management, Research and Design, Strategy and Operations, Supply Chain and Logistics

      4.8

      (рецензий: 288)

      Beginner · Specialization

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      Automation Anywhere

      Automation Anywhere

      Implementing RPA with Cognitive Automation and Analytics

      Получаемые навыки: Accounting, Analysis, Analytics, Business Analysis, Business Analytics, Business Process Management, Business Psychology, Computer Graphics, Computer Programming, Computer Programming Tools, Data Analysis, Data Management, Entrepreneurship, Financial Analysis, Human Learning, Human Resources, Process, Programming Principles, Software Engineering, Software Testing, Strategy and Operations

      4.5

      (рецензий: 572)

      Beginner · Specialization

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      ESSEC Business School

      ESSEC Business School

      Strategic Business Analytics

      Получаемые навыки: Algorithms, Analysis, Analytics, Big Data, Business Analysis, Communication, Data Analysis, Data Management, Exploratory Data Analysis, Forecasting, Human Resources, Leadership Development, Leadership and Management, Marketing, Planning, Probability & Statistics, R Programming, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.3

      (рецензий: 1.2k)

      Advanced · Specialization

    Результаты поиска, связанного с hr analytics

    hr analytics- build an hr dashboard using power bi
    1234…23

    10 самых популярных курсов по запросу hr analytics

    • Human Resources Analytics: University of California, Irvine
    • People Analytics: University of Pennsylvania
    • Business Analytics: University of Pennsylvania
    • HR Analytics- Build an HR dashboard using Power BI: Coursera Project Network
    • Organizational Analysis: Stanford University
    • Human Resource Management: HR for People Managers: University of Minnesota
    • Building a Hiring Plan by Analyzing Past Data in Sheets: Coursera Project Network
    • Recruiting, Hiring, and Onboarding Employees: University of Minnesota
    • Foundations of strategic business analytics: ESSEC Business School
    • Gender Analytics: Gender Equity through Inclusive Design: University of Toronto

    Часто задаваемые вопросы на тему Hr Analytics

    • 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.‎

    Часто задаваемые вопросы предоставляются в ознакомительных целях. Учащимся рекомендуется дополнительно убедиться в том, что интересующие их курсы и другие материалы соответствуют их личным, профессиональным и финансовым потребностям.
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