HR Analytics – visionofresearch

HR Analytics

An HR Analytics course that equips participants with skills to leverage data for informed human resource management decisions, covering topics like predictive analytics, workforce planning, and employee engagement metrics to drive organizational success.

  • Information
  • Course Type : Professional
  • Start Course : 1403/06/02
  • Method : Class Attendance

  • Language : English
  • Capacity : 10 Person
  • Countdown Timer
Duration

4 Month

Number Of Session

34 Session

Days of holding

Saturday

Time

10:38:15

The HR Analytics course provides participants with a comprehensive understanding of how to utilize data effectively in human resource management. Participants will learn to collect, analyze, and interpret data regarding key workforce metrics such as performance, engagement, and turnover rates. The course underscores the importance of employing statistical methods and analytical tools to support strategic HR initiatives, which can lead to improved organizational outcomes.

In addition to foundational analytics skills, the course covers advanced topics like predictive analytics, workforce planning, and employee engagement metrics. Through hands-on applications and case studies, learners will develop the expertise needed to implement data-driven HR strategies that align human capital with business objectives, ultimately fostering organizational success and enhancing workforce effectiveness.

If you are a member of the site, and after choosing the desired course, you can see all the technical and professional courses held in the selected locations in the course registration section. You can also read the start and end dates of classes, the remaining capacity and the details of each course from this section. You can also click on the "Register" option to enter the registration and payment page. After paying the fee and choosing the desired course, they should send the requested documents, including the photo of their ID card, and go to the main registration page. The next step is to pay the course registration fee using the training course code, and finally enter the payment ID in the relevant field. The applicant's introduction sheet will be sent to the technical and vocational education center along with the exact address and time of the person's visit, and the candidate should keep a printout of it until the time of visiting the school. Note 1: If the desired course is not visible in the professional technical portable according to various criteria after the search; Applicants can refer to the proposed training course request registration system to apply for the desired training and skill course. After checking the number of people applying for the requested course, the technical and professional organization, if it has the conditions for holding a technical and professional training course in the requested area, can conduct various skill classes specific to the requested course in different educational centers under its supervision. to hold Point 2: The experts of the center's counseling system are ready to provide the candidates with the necessary information related to technical and professional courses and guide them by telephone through academic advisors. Also, candidates can talk to our consultants in case of any questions in this field. Note 3: To obtain a technical and professional skill certificate, students should refer to the certificate inquiry section and download their technical certificate from the inquiry section. The validity of technical and vocational education certificates is different and candidates can apply for the certificate according to their goals, such as entering the labor market abroad.

Data Analysis:

Gaining proficiency in analyzing workforce data to identify trends and insights.

Interpretation of Workforce Metrics:

Learning to interpret key metrics such as performance, engagement, and turnover rates.

Statistical Methods:

Understanding and applying statistical techniques to HR data for better decision-making.

Predictive Analytics:

Developing skills in using predictive models to forecast HR trends and outcomes.

Workforce Planning:

Acquiring knowledge in strategic planning of workforce needs based on data insights.

Employee Engagement Analysis:

Evaluating and measuring employee engagement levels to enhance retention and performance.

Implementation of Data-Driven Strategies:

Learning to design and implement HR strategies that are informed by data analysis.

Use of Analytical Tools:

Familiarity with various analytical tools and software used in HR analytics.

Case Study Application:

Applying learned skills to real-world HR scenarios through case studies to enhance practical understanding.

HR Professionals

Talent Acquisition Teams

Organizational Leaders

Training and Development Managers

Workforce Planning Analysts

Employee Engagement Specialists

Consultants and Advisors

Data Analysts in HR

Change Management Practitioners

Business Owners and Entrepreneurs

The course will teach you how to interpret HR metrics and analytics to inform strategic decision-making, enhancing your ability to use data effectively.

Yes, the course typically covers popular HR analytics software and tools, helping you gain hands-on experience in using these applications.

Absolutely! While designed for HR professionals, the skills learned are applicable to anyone interested in data analysis and organizational performance.

Many courses include a capstone project or final assessment that allows you to demonstrate your understanding of the concepts learned.

Courses often attract a diverse group of participants from various industries, backgrounds, and levels of experience, enriching discussions and learning experiences.

Yes, hands-on projects are an integral part of the course, allowing you to apply analytical techniques to real HR scenarios.

Yes, the course typically addresses ethical issues related to data privacy and the responsible use of HR analytics.

Instructors usually provide ongoing support through office hours, discussion boards, and feedback on assignments.
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