NumPy : the most used Python library in Data Science
NumPy is a very popular Python library that is mainly used to perform mathematical and scientific calculations. It offers many features and tools that can be useful for Data Science projects. Becoming familiar with NumPy is an essential step in a Data Science training project. Find out everything you need to know to master Numpy. […]
Data Engineer vs. Data Scientist: What’s the Difference and Which Career is Right for You?
In the era of Big Data, new professions are emerging. Among the most common: The data engineer and the data scientist. So what are the differences between the two? And the similarities? Discover the answers. What are the missions and skills of a Data Engineer? The data engineer is the creator of the data architecture. […]
Financing options : What are the possibilities?
No matter if you want to change your career or just want to give your CV a new eye-catcher, one of the most promising areas for this is certainly the field of data. With a training course from DataScientest, you will be able to do just that. But which of the various financing options is […]
Python : Focus on the most popular programming language
Python is the most popular and widely used programming language, particularly in the fields of data science and machine learning. Learn everything you need to know about it: definition, how it works, use cases, advantages, training… What is Python used for ? One of the main use cases of Python is scripting and automation. This […]
Mushroom recognition : Using Computer Vision in Machine Learning
Context One of the most widely used and oldest species identification techniques is “morphological identification”, which identifies individuals by their anatomical characteristics. However, this technique has the disadvantage of not being always accurate since it depends on the observation and the identification protocol of the person who performs it. An alternative to this identification technique […]
Solutions Architect : What’s its role and requirement skills ?
What are the roles of the Solutions Architect ? The Solutions Architect aims at understanding, designing and integrating the implementation of reliable solutions to the firm technical problematics. In the scope of a fast-growing evolution of Systems Information (SI) in the business structure, the Solutions Architect will be in charge of creating a safe and […]
5 AWS launches and announcements making developers’ life easy in 2022
The 10th edition of Re:invent, AWS’s yearly learning conference, was the opportunity for Amazon’s Cloud Computing company to unveil dozens of new launches and announcements. DataScientest’s AWS community builder Chouaieb Nemri shares it’s top 5 with us. With over 20 000 attendees and hundreds of thousands people following the event online, Re:Invent was an event […]
Data normalization: How this concept is related to Data Science?
Daniel is the technical support of DataScientest’s trainings. It is the expert on every subject related to data science. Today, we have managed to get a quick interview with him, so that he can answer a few of our questions about data normalization. What is Data Normalization? Normalization, as it is heard in the data […]
Tensor flow : All about Google’s Machine Learning framework
TensorFlow is a Machine Learning framework created by Google and available in open source. Discover everything you need to know about it: history, functioning, advantages, training… Machine Learning is a complex discipline, but fortunately there are tools that simplify its implementation. Among these resources, there is the TensorFlow framework from Google. What is TensorFlow? It […]
MongoDB : Learn all about the NoSQL database
MongoDB is a document-oriented NoSQL database. It differs from relational databases in its flexibility and performance. Find out everything you need to know about this must-have tool for data engineering. MongoDB is a document-oriented NoSQL database that appeared in the mid-2000s. It is used for storing massive volumes of data. Unlike a traditional SQL relational […]
Data Warehouse : Definition, main concepts and use cases
A Data Warehouse allows you to collect data from various sources and analyze them. Discover everything you need to know about this technology at the heart of Data Science: definition, operation, history, use cases, training… What is a Data Warehouse ? A data warehouse is a platform used to collect and analyze data from multiple […]
Data Scientist CV : 5 things that should not be included !
Competition is increasingly fierce between aspiring Data Scientists who have recently graduated. Discover 5 things not to put on your CV so as to gain an advantage over other candidates … These last few years, the profession of Data Scientist has been considered one of the best professions through all sectors. Very high remuneration, attractive […]
