In the dynamic world of data analysis, a Data Analyst plays a pivotal role in steering a company towards success. The primary goal of a Data Analyst is to provide actionable insights based on data to improve performance. His responsibilities span a broad spectrum, encompassing performance assessment, future performance forecasting, target development, and the shaping…
Mastering the Art of Data Engineering: A Step-by-Step Guide to Building Robust Data Systems
A Data Engineer (DE) is responsible for building a robust data environment by developping and maintening scalable databases, data pipelines and architectures. He focuses on the infrastructure and mechanics of data handling, ensuring that data is properly collected, stored, processed and made accessible for various analytical and operational needs. By enabling efficient data analysis, the…
Decoding the Business Analyst’s Journey: From Identifying Needs to Delivering Solutions
The Business Analyst’s role is to bridge the gap between business needs and solutions. The Business Analyst (BA) adds value by identifying needs _ problems and opportunities _ and by finding solutions for the organization. It involves understanding how different changes (in process, people, systems or technology) can improve efficiency, productivity, or profitability. Business Analysis…
Data Science Tech Stack Series: Data Storage
Data storage forms the foundation for storing, managing, and processing data. In this post, we will explore two different approaches for storing data including on-premises storage solutions (1) and cloud-based storage solutions (2). 1. On-Premises Storage On-premises storage, also known as local storage, refers to storing data on servers located within an organization’s premises. Users…
Data Science Tech Stack Series: Data Management Systems
As data scientists, one of the most important elements of our tech stack is the system we choose to connect to our working environment in order to manage our data. A Data Management System is responsible for managing and organizing large volumes of data throughout the organization lifecycle. It encompasses not only the software but…
Data Science Tech Stack Series: Working Environments
When performing Data Science, it is crucial to choose the right working environment. Our goal is to optimize our workflow efficiency during the various stages of data wrangling, coding, collaboration, and results interpretation. In this article, we will explore three types of environments with a progressive set of features: code editors (1), integrated development environments…
Data Science Tech Stack Series: Operating Systems and Interfaces
To start our Data Science journey, we need to select the appropriate hardware and Operating System (1) to manage it as well as the software on the computer. Then, we are offered with two ways to interact with the computer commands, a Command-Line Interface (2) or a Graphical User Interface (3). 1. Operating Systems (OS)…
Data Science Tech Stack Series: Languages, Librairies and Frameworks
Data science requires proficiency in one or more programming languages, depending on the task at hand (1). These languages can be connected together. To save time while programming, we can use librairies or frameworks. They are collections of pre-written code. We can import them into our code, allowing us to easily use their functions and…
Your Corporate Approved Communication Handbook
Navigating the intricate landscape of corporate communication can be a tightrope walk. The difference between a career-limiting move and a career-boosting statement often lies in the subtleties of your wording. Whether you’re new to the corporate world or looking to refine your communication skills, this post is designed to equip you with the linguistic tools…
Mastering the Language of Data: Essential Vocabulary for Describing Trends and More
In today’s data-driven world, the ability to effectively communicate complex information is crucial. Whether you’re presenting a business report, analyzing market trends, or simply trying to make sense of the numbers, the right vocabulary can transform your message from confusing to clear. By the end of this article, you’ll be equipped with a richer vocabulary…