Data-driven HR management: how to use HR analytics - course RUB 32,000. from HSE, training 2 days, Date: September 16, 2023.
Miscellaneous / / December 05, 2023
In 2 days of the full-time intensive course “Data-Driven Human Resource Management: How to Use HR Analytics,” you will learn about the key aspects of HR analytics and modern data analysis tools in personnel management, allowing students to formulate a strategy for the development of this area in the company and gain practical skills in using analytics tools in solving specific HR tasks.
Topics of the intensive course include exploring the capabilities of HR analytics, reviewing the application of key HR metrics in basic HR processes, gaining skills in creating interactive reports using Power bi.
Benefits of the program
01
The full-time intensive course is implemented with the participation of teachers with practical experience in the field of HR analytics
02
The course is delivered in a two-day intensive format, which will allow you to dive deeply into the topic of HR analytics.
03
Learning only through practice. Obtaining not only theoretical, but also practically applicable knowledge and skills
04
Networking: useful contacts for business and career development
To participate in the full-time intensive course “Data-driven HR management: how to use HR analytics”
01
Leave a request on the website
02
Sign the contract and pay for the training
03
Come to the in-person course at: Nizhny Novgorod, st. Rodionova 136, off. 205
Learning outcomes
As a result of training you will be able to:
APPLY IN ACTION
new competencies of an HR manager that will allow you to become a sought-after specialist
USE IN WORK
HR analytics tools for predicting the processes of selection, adaptation, and motivation of personnel
INCREASE EFFICIENCY
HR processes in your company
Learn to understand the “language” of numbers, determine the relationships between HR processes, manage employee loyalty and engagement, make management decisions based on analytical data
Training format
- Total duration in hours
16 hours - Admission conditions
Students with higher education, secondary vocational education or those receiving higher education are enrolled in the program - Training format
Full-time - Composition of the group
Standard group size 12 people - Language of instruction
Russian - Number of classroom hours
16 hours - Final work
Individual task - Class schedule
Saturday and Sunday from 10:00 to 17:00 - Location
G. Nizhny Novgorod, st. Rodionova, 136
2
courseNational Research University Higher School of Economics: Associate Professor of the Department of Organizational Psychology, Candidate of Psychological Sciences, Leading Psychologist of Russian Railways–Medicine
Introduction to HR analytics 2 lecture parts.
– Best practices of HR analysis in Russian and foreign companies
– The main tasks of the company’s HR analytics
– Determining the level of development of HR analytics in your company and developing a plan for implementing HR management based on HR data
Metrics for managing HR processes 4 auditoriums.
– Motivation structure
– Recruitment funnel and assessment of recruitment effectiveness
– Loyalty Index (ENPS) and employee engagement
– Analysis of cases on the creation, calculation, selection of HR metrics for the processes of searching for candidates to work in the company, adaptation, training of employees, increasing their satisfaction, involvement and motivation
Fundamentals of HR data analysis 4 lecture hours.
– Basic principles of statistical analysis
– Statistical decision rules
– Practical tasks to assess the effectiveness of implemented employee training programs, the level of motivation in different departments of the company, the relationship of various HR indicators with performance results
Structuring and visualization of the results of HR analysis 4 lecture hours.
– HR data: sources, types, methods of structuring
– Data visualization: from graphs and tables to dashboards
– Development of an interactive HR report using Power bi
Address
Nizhny Novgorod, st. Rodionova, house 136, office 205, 206
Gorkovskaya