Data Science Articles

Erdem İŞBİLEN

Updated on May 22, 2025

The law of large numbers states that increasing the number of trials leads the average of the results to approach an expected value more closely. Here’s how the law works, why it matters, its types and examples of how it’s used.

Abdishakur Hassan

Updated on May 22, 2025

Extrapolation is a statistical technique that uses existing data to predict future or unknown values that fall outside the range of the existing data. Here are common extrapolation methods, how extrapolation works and its pros and cons.

Abdishakur Hassan

Updated on May 22, 2025

SQLite is a relational database management system that is embedded into servers and applications, making it easy to set up and efficient. Here’s how it works, its benefits and possible alternatives to SQLite.

Artem Oppermann

Updated on May 22, 2025

Supervisory Control and Data Acquisition (SCADA) is a system of hardware and software that lets teams monitor and control industrial processes and equipment. Here’s a deep dive into its architecture, components, examples and benefits.

Anthony Corbo

Updated on May 22, 2025

Algorithms provide computers with instructions that process data into actionable outputs. Here’s an in-depth look at how algorithms work, common types of algorithms, real-life examples and ways to analyze them.

Satyapriya Chaudhari

Updated on May 22, 2025

Descriptive statistics describe data through numbers — like mean, median and mode — and graphical methods — like histograms, box plots and pie charts — to make data easier to understand. Here’s an in-depth look at how to calculate them.

Edoardo Romani

Updated on May 22, 2025

There are a lot of resources to help you become a better data scientist. Here’s my experience with one of them — the good and the bad.

Michael Galarnyk

Updated on May 22, 2025

This Python dictionary tutorial covers how to define and access values in a dictionary, how to iterate through a dictionary and various dictionary methods.

Claudiu Clement

Updated on May 22, 2025

Standard deviation measures the variability of data in relation to the mean, while standard error measures the variability of different sample means. Take a closer look at how to calculate each and the main differences between the two.

Michael Galarnyk

Updated on May 22, 2025

The empirical rule, also known as the 68-95-99.7 rule, states that almost all the data in a normal distribution falls within three standard deviations of the mean. Take a deeper dive into the different aspects of the rule.