Data Science Articles

Mike Hyzy and Erik Krisko

Updated on January 02, 2025

By merging the methods of Scrum and CRISP-DM, you can meet the needs of both the data scientist and stakeholder. Here’s how.

Matt Przybyla

Updated on December 20, 2024

Data science focuses on extracting data insights by using mathematics, statistics and programming, while computer science focuses on computer hardware, software and systems. Here’s what you need to know as you enter either field.

Rajat Sharma

Updated on December 20, 2024

Skewed data is data that creates an uneven curve distribution on a graph. Here’s what to know about it and how to handle it.

Trist'n Joseph

Updated on December 20, 2024

Compare the bootstrapping statistics approach to the traditional and learn why it’s useful.

Erik Brown

Updated on December 19, 2024

Synthetic data has the potential to speed up and improve the building of AI models. Here’s why it may overshadow real data models by 2030.

Aashish Nair

Updated on December 19, 2024

SQL order of execution determines how the clauses in SQL queries are evaluated. We discuss the order of execution in SQL and why it matters.

Sue Liu

Updated on December 19, 2024

Here’s a quick introduction to the Dirichlet distribution and how you can use it in your own statistical analysis.

Srishti Saha

Updated on December 18, 2024

Covariance indicates the direction of the linear relationship between two variables and how they vary, while correlation measures both the strength and direction of the linear relationship between two variables.

Niklas Donges

Updated on December 18, 2024

What you need to know to get started with descriptive statistical analysis.

Parag Radke

Updated on December 18, 2024

Probability statistics measures the likelihood of an event happening. Here are the theories and statistics you need to know for machine learning.