
Explore HR analytics, or people analytics, a data-driven approach using measurement and analysis of data about people to solve business problems and improve the people side of business.
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.
Explore hr data analysis with excel for beginners, learning how to turn people data—employee records and joining dates—into data-driven insights for decision making and reporting.
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.
Explore Excel functions for HR data analysis to combine first and last names with concat, format case with upper, lower, and proper, and trim and clean.
Learn to clean HR data in Excel using trim and clean functions, remove spaces and unprintable characters, and nest functions for efficient data cleaning.
Explore Excel date and time functions for HR data analysis, including today, now, and year, and learn to calculate employee age and format dates across locales.
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.
Explore using countifs for multi-criteria HR data in Excel, filtering by department and marital status, then apply sum, average, max, and min with named ranges and table totals.
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.
Explore HR metrics and measures: revenue per employee and human capital return on investment. Apply engagement scores, turnover rate, and quality per hire under ISO 30 414 to guide decisions.
Calculate the employee turnover rate in Excel using ISO 30414; define the metric, compute exits over the beginning headcount, and interpret the example's 8% turnover and 92% retention.
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.
Analyze statistics to make sense of information and drive informed judgments and decisions for human resources professionals to become more evidence-based rather than relying on gut feelings or intuition.
Explore measures of dispersion, including range, standard deviation, and variance, to describe data spread and apply these concepts to workforce data in Excel.
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.
Create an HR report on workforce age distribution in Excel using filters, tables, pivot tables, and pivot charts to visualize Gen Z, millennials, Gen X, and baby boomers.
Explore how to use Excel to visualize top five recruitment sources with pivot tables and pivot charts, highlighting search engine and employee referrals in a recruitment report.
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.