Category: Data Science

Companies using containers know: Kubernetes are everywhere. But managing these Kubernetes often represents a real challenge. And that’s true whether they’re organized within a single

If machine learning allows organizations to be more efficient and make the best decisions, it is essential for data science experts to master various artificial

SQL Server and Power BI are two complementary tools for data analysis. On one hand, SQL Server is a database management system (DBMS) that allows

Python If Else, and Elif are conditional statements that allow a program to execute code if certain conditions are met. This decision-making system is crucial

Analysis of Variance (ANOVA) is a straightforward and widely used statistical technique for examining the relationship between two or more variables, especially between an explanatory

Dataiku is a unified, open-source, cloud-based Data Science platform. It provides data preparation, analysis, and Machine Learning model building features. Discover everything you need to

To exploit code and develop an application, DevOps can use GCP Cloud Run. So what’s it all about? What features does it offer? And what

Depending on the country, culture or data source, dates can be written in a multitude of ways. To simplify data processing, it is essential to

While the SELECT query is one of the most commonly used to read data from a table, it has some limitations if used on its

The WHERE command in SQL is used in queries to filter out data that meets a specific condition. This allows you to extract only the

SQL programming language is a valuable tool for developers and experts. Thanks to a multitude of queries, it is possible to manipulate data and relational

To communicate with databases, developers and data analysts make extensive use of SQL (Structured Query Language). Thanks to these various commands, it’s easy to manipulate