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Drillthrough Power BI: How do I use this feature?

Drillthrough Power BI: How do I use this feature?

The Drillthrough Power BI feature allow you to add a page dedicated to a specific entity within a report, in order to present it with in-depth data visualizations. Find out everything you need to know about this useful tool, and how to take a training course to master Power BI in its entirety. Microsoft’s Power […]

PySpark Course: Learn how to use the Python API for Spark

PySpark Course

PySpark is a Python-based API for the Apache Spark data processing engine. Find out why you should learn to use this tool, and how to take a PySpark Course. Data science and Machine Learning open up new possibilities. However, these disciplines require tools capable of processing massive sets of Big Data. This is why solutions […]

DevOps vs Agile method: which to choose?

DevOps VS Agile method: which to choose?

Devops and Agile are two project management and software development methods. Their common objective is to improve productivity. The best thing for a company is to take advantage of these two methods to deliver faster, more efficient work. What are the advantages and differences between these two methods? Devops: what is it? The term DevOps […]

MeanShift: everything you need to know about the data clustering algorithm

MeanShift

MeanShift is a clustering algorithm widely used in computer vision and data analysis. Find out everything you need to know about its history, how it works and its areas of application! In the early 1990s, image processing and computer vision researchers Dorin Comaniciu and Peter Meer were looking to overcome the challenges associated with image […]

Expected goals: Understand the math behind it

Expected goals : Understand the math behind it

The number of expected goals is a new performance indicator that has recently appeared in soccer analysis. This statistic is increasingly used to interpret the physiognomy of a match, but do we really know how to interpret it? The aim of this article is to present the mathematical realities behind expected goals (xG) as simply […]

Machine Learning Engineer Bootcamp: Why is it interesting?

Machine Learning Engineer Bootcamp: Why is it interesting?

In a previous article, we showed just how indispensable Machine Learning Engineers are to companies, to the extent that the number of job offers has increased 10-fold between 2012 and 2019. In this article, we’ll talk about the benefits of opting for a bootcamp to become a Machine Learning Engineer. The job of Machine Learning […]

Data Mesh: definition, importance, applications

Data Mesh: definition, importance, applications

Data Mesh is a data architecture that simplifies collaboration and self-service. Find out more about this new paradigm, which is increasingly being adopted by businesses for its many benefits. Many companies are using Big Data. By exploiting data through analysis, it is possible to make better decisions. However, an organisation’s Data architecture is not always […]

Programming and documenting an API with Python, Flask, Swagger and Connexion

Programming and documenting an API with Python, Flask, Swagger and Connexion

In the previous two articles, we saw a first example of programming a Web API with Flask and how to connect a Web API to an SqLite database. In what follows, we’ll look at how to build REST APIs with input and output validation and documentation automatically generated by Swagger/OpenAPI. We’ll also see how to […]

Power BI matrix table: How to use this feature

Power BI matrix table: How to use this feature

Power BI matrix table: Matrix visualization is a very useful feature of Power BI, especially for text analysis. Find out everything you need to know, and how to take a training course to master the software. Multivariate reporting is often a necessity in Business Intelligence. It is sometimes essential to visualize data in different dimensions. […]

Data Analyst: everything you need to know about the job

Data Analyst: everything you need to know about the job

The advent of Big Data means the production and collection of billions of pieces of data every second. For businesses, this information is a godsend, enabling them to make more informed decisions based on verifiable facts. Provided they know how to interpret the available data. This is precisely the role of the Data Analyst. Find […]

Python 🐍 : The most popular language

Python is indeed one of the most popular programming languages. Its popularity can be attributed to several factors:

Python is the most popular and widely used computer programming language, particularly in the fields of Data Science and Machine Learning. What’s more, Python is a cross-platform language that runs on a variety of operating systems, such as Windows, macOS and Linux, making it an ideal choice for developers working on different environments. Find out […]

Variable types in Python: how about clarifying the dynamics?

Variable types in Python: how about clarifying the dynamics?

Python has recently established itself as one of the leading programming languages for Data Science: easy to learn for people with a statistician’s background, well supplied with libraries, capable of anything, it’s a faithful companion for the Data Scientist. However, it’s possible to do Data Science at a fairly high level without seeing all its […]