
Discover how generative AI enhances HR data analytics by automating repetitive tasks, accelerating talent search, and integrating with Excel for data analysis and policy inquiries.
Explore analytics maturity stages in HR analytics, moving from descriptive insights of the past to predictive and prescriptive guidance, using data-driven questions and multiple metrics.
Clean and format HR data in Excel by revealing headers, formatting date columns to day, month, and year, and improving readability for clearer analysis.
Group HR data in Excel by converting to a table and using a pivot table. Derive counts, averages, and min/max values for employee age and length of service.
Learn to clean HR data in Excel using trim and clean functions, remove spaces and unprintable characters, and nest functions for efficient data cleaning.
Demonstrate using Excel's aggregate functions: sum, average, count, and conditional variants like countifs and sumifs, for HR data analysis, including creating a named table (hr_data) and counting headcount by department.
Master aggregate functions in Excel for HR analytics by applying sumif and sumifs to calculate total salaries by department and marital status.
Explore the key functions and types of HR reports, and learn steps to create data-driven documents that monitor workforce trends and support informed, data-backed decisions.
Explore common HR reports in Excel, including recruitment, turnover and retention, diversity and inclusion, training and development, and employee engagement, with metrics like cost per hour and ROI.
Explore how Excel simplifies HR data analysis and reporting by leveraging accurate, well-organized data from recruitment through exit, enabling meaningful HR reports.
Illustrate attrition rate from 2013 to 2018 with a line chart to show the turnover trend, and use the recommended charting option in Microsoft 365 to select a suitable visualization.
Copy charts from Excel and paste them into PowerPoint slides or a Word document to build a presentation that fits into a report, with multiple visuals.
Calculate employee ages in Excel, classify into baby boomers, Gen X, millennials, and Gen Z with a nested if, and compute the workforce average age using average and int.
Activate the Excel analysis Toolpak to access tools for mean, median, mode, range, and standard deviation. Follow steps from File to Add-ins, then enable Toolpak to reveal the Data tab.
Master descriptive statistics in Excel using the Analysis Toolpak to summarize employee age data. Copy values, set input and output ranges, and interpret mean, median, mode, standard deviation, and range.
Explore how reports display metrics, statistics, and insights to support business decisions, and learn advanced Excel functionality with pivot tables to create a child report.
Analyze data with pivot tables in Excel to create three visual reports: workforce age distribution, workforce gender distribution, and workforce length of service distribution.
Learn to build an employee gender distribution chart in Excel by placing gender in rows, using a donut or pie chart, enabling legends, displaying percentages, and adjusting labels.
Learn to build a pivot table and bar chart for length of service distribution, grouping ranges, removing gender, and comparing gender and age distributions in Excel.
Click on the resources section to access the Udemy course on "HR Analytics: How To Create An HR Dashboard Using Excel"
HR Analytics: How To Create An HR Dashboard Using Excel
“Without data you’re just another person with an opinion.” ~ W. Edwards Deming
In layman’s terms Analytics can be defined as ‘the analysis of data to draw hidden insights to aid decision-making.’
As HR professionals, it is time to learn a skill that will transform the way you work. This course will get you trained on basic analytics techniques and help you uncover data-driven insights that will aid in HR decision-making and reporting.
HR analytics gives organizations the capacity to leverage data in order to address challenges faced not only by HR, but also by the core business. It provides organizations the ability to develop and implement a people strategy in line with its business strategy, thereby improving performance across a broad range of metrics.
HR analytics does not just deal with gathering data on employee efficiency. Instead, it aims to provide insight into each process by gathering data and then using it to make relevant decisions about how to improve these processes. The key aspect of HR analytics is to conclusively show the impact the HR department has on the organization as a whole. Establishing a cause-and-effect relationship between what HR does and business outcomes - and then creating strategies based on that information - is what HR analytics is all about.
This course is aimed to help participants receive both a conceptual understanding of the HR Analytics universe and process. It is specifically tailored for those people that have little or no experience in processing and analyzing data.