Blog

Perspectives from DataSkillUp - your launchpad for People Analytics mastery.

All

Blog

posts

Power Analysis: Ensuring Your HR Studies Have Enough Data for Reliable Results

Simpson’s Paradox in HR Analytics: The Danger of Ignoring Subgroups

The Hidden Insights in Exit Data: Using Topic Modeling to Drive Change

Feature Selection Demystified: Key Techniques for Effective People Analytics

Factor Analysis vs. Principal Component Analysis: Which Should You Use in People Analytics?

Text Mining for HR: Extracting Insights from Employee Feedback and Reviews

Prospect Theory and Employee Satisfaction: How People Analytics Can Address Risk Perception in Career Development

Unveiling Hidden Patterns: Using Factor Analysis to Understand Employee Engagement Drivers

Essential SQL Skills for People Analysts: What You Need to Know

Cognitive Biases in Performance Reviews: How People Analytics Can Help Mitigate Bias in Employee Evaluations

Unlocking the Power of Qualitative Feedback: Analyzing Open-Ended Responses in Employee Surveys

Turning Data into Action: Connecting Analytical Insights with Business Objectives

Addressing Retention Challenges in Companies with Limited Data

p-Values vs. Effect Sizes: What's More Important for People Analytics?

Why Your Chief People Officer Isn't Listening and How You Can Change That

Free Download: Engagement Survey Analysis Framework for HR Professionals

Bias in Data-Driven Decisions: How Statistical Models Can Reinforce Inequities in HR

Avoiding Common Mistakes in Regression: Using Regression Modeling Effectively in People Analytics

Why Adjusted R-Squared Matters More Than You Think in People Analytics

Why Multicollinearity Matters in People Analytics (and How to Detect & Handle It)

Natural Language Processing in Employee Sentiment Analysis

Debunking the Magic Number: Why P < 0.05 Isn't Enough in People Analytics

Simple Statistical Tests with Big Impacts in People Analytics

Breaking Down the Numbers: How to Talk Data with Your HR Team

Correlation Doesn’t Mean Causation: Avoiding Misleading Insights in People Analytics

Survival Analysis in HR: Elevating Your Retention Strategy

Ensuring Accurate Comparisons: The Role of Bonferroni Correction in People Analytics

Data Visualization in People Analytics: Why Simplicity Is Key

Back to Basics: Why Simpler Predictive Models Are Often the Best in HR Analytics

Free Download: A Practical Guide for Exploratory Data Analysis

What to Do When Your Data Is Bad: Navigating Poor Quality HR Data

Decoding Your Data: EDA 101

What is People Analytics?

Welcome to DataSkillUp: Personalized People Analytics Training