Basic Statistics for HR Analytics
December 31 - December 30, 2025, 11:00 PM - 11:00 PM
Your Office
HR & People Analytics
Please note that this workshop is available on in-company on request throughout the year, contact us to discuss options.
Statistical analysis allows you to obtain information from data. To do a good analysis, you need basic knowledge of statistics. In this course you will learn the basic elements of statistics that Data Professionals encounter in practice during research and analysis.
The course focuses on practical applicability. This is because it is mainly about the correct application and interpretation of the results. The exercises are performed in Excel, which has useful tools (plug-ins) for statistical analysis. The goal of this statistics course is to be able to handle the basic skills of statistics in order to come to responsible results and conclusions from (research) data.
Good to know
- To participate in this course, you will have a laptop with at least Excel 2016 and basic knowledge of Excel. Excel 2019 or Office 365 is therefore also possible.
- Our teaching programs are characterized by the optimal combination of theory and practice. Because our instructors have a lot of practical experience, they know how to effectively convey the course material. Afterwards you can immediately get started yourself.
- At Highberg we choose small groups (maximum of 12 participants) so that we can offer you personal attention.
- If personal circumstances prevent you from being on location one day we offer you the opportunity to attend the meeting digitally. Of course we make sure that you can participate interactively in the training just like other participants.
- For in-company requests, it will be tailored to the needs of the company.
Raymond Slijpen, Information Professional
“Pleasant format of the course. Fine alternation between theory, practical examples and exercises. Definitely recommended as a 'refresher' course or as a stepping stone to ... Pace is fairly high, so some prior knowledge of Excel is required.”
Target
This course is ideally suited for Data Professionals who regularly create reports and/or analyses. Or for Data Professionals who want to make smarter use of Excel. Basic knowledge of Excel is required. During the day we will only work with real life examples and data.
See also our other trainings/masterclasses:
Learning Objectives
Using theory and exercises with real data, you will learn:
- What you need to know about variables
- Sample and population
- Frequency and cross tabulations
- Center measures and measures of dispersion
- Confidence intervals
- Sample size calculation
- Testing correlation and differences between categorical variables
Calendar
The training is given upon request. Curious? We are happy to discuss the possibilities with you. Please contact us.
Program
DAY 1
09.30 - 16.30
Statistics - concepts
- Validity
- Reliability
- Accuracy
- Representativeness
Variables and measurement levels
Descriptive statistics
- Tables
- Graphs
- Statistical Numbers
- Center measures
- Dispersion measures
- Skewness and peakedness
Boxplots
DAY 2
09:30 - 16:30
Probability calculation
- Based on history
- Reasoning
Explanatory statistics
- Errors
- Estimation - confidence intervals
- Significance
DAY 3
09:30 - 16:30
Calculate correlation and differences between a categorical and one ratio variable
- T-test (mean)
- F-test
Calculate correlation and differences between a categorical and one ratio variable
- Continued
Calculate correlation and differences between two ratio variables
- Regression
- Correlation
- R-square
- F-test
Interpreting analysis results
Costs and conditions
This in-company training is customized to the client's needs and a proposal is issued based on that.
At Highberg we use terms and conditions for all our training courses. When registering you must agree to these, so please read them carefully.
Trainer: Irma Doze
Irma helps organizations create value with HR data and transform from conventional HR to data-driven HR. In addition, Irma shares her knowledge and experience in the form of trainings, workshops and coaching. She is co-author of the book “HR analytics, creating value with data-driven HR policies.
