Introduction Linear regression is the next step up after correlation. It is used when we want to predict the value of a variable based on the value of another variable. The variable we want to predict is called the dependent variable (or sometimes, the outcome variable). The variable we are using to predict the other […]

Python gets blamed for being “slow”… but most latency comes from choices, not the language. In performance work I’ve seen across APIs, ETL pipelines, and analytics services, the biggest wins usually come from removing hidden overhead: extra copies, inefficient data types, repeated work, and the wrong concurrency model. Below are 10 practical “secrets” that routinely

By Nqobile | Rigorous Statistics We live in a world obsessed with data. But there is a massive gap between having data and understanding it. Whether you are a PhD candidate staring at a spreadsheet that refuses to make sense, or a business leader trying to forecast next year’s trends, the problem is rarely a

In the competitive world of academia, the pressure to produce high-impact work is relentless. Whether you are a clinician, an economist, or a social scientist, the validity of your methods is the bedrock of your reputation. However, even the most brilliant research concepts can falter if the data collection, analysis, or reporting lacks rigor. This