In this article I will deep into the two leading cloud data platforms: Databricks and Snowflake, by examining what they are, their core components, their key differences, market insights, and a simplified explanation for those new to the topic. Both…
This is the third part of a 3 parts project, you can find the full project here. In the third part of the IBM HR Dashboard project, I want to guide you through the process of transforming raw data into…
This is the second part of a 3 parts project, you can find the full project here. In the first part of this series, we built a robust Power BI data model to analyze employee attrition and satisfaction trends. Now,…
This is the first part of a 3 parts project, you can find the full project here. Building a robust data model is the foundation of effective analytics. In this step-by-step guide, we’ll use the IBM HR Analytics dataset (found…
Data modeling is the process of creating a visual representation of an organization’s data and the relationships between different pieces of that data. For example, imagine a retail business that tracks sales, customers, and inventory – data modeling would illustrate…
In today’s data-driven world, organizations rely on analytics tools like Power BI to derive actionable insights from vast datasets. However, the accessibility of this data comes with a critical challenge: ensuring that users can only view the data they are…
This project focuses on the analysis of gas stations across all provinces in Spain, using a dataset extracted from the official Spanish government portal dedicated to energy infrastructures. The data was obtained in September 2024 from the Gas Stations Geoportal,…
Exploratory Data Analysis (EDA) is the first and most important step in the data analysis workflow. It allows analysts and scientists to understand the patterns, relationships, and anomalies within the data, making it ready for a deeper analysis or the…
In this weather data analysis project, I analysed daily meteorological data from Warsaw, Poland from 1993 to 2022. I used Python for initial data preprocessing, Exploratory Data Analysis (EDA), statistical analysis and I created a Machine Learning model to see…
Data Analysis and Business Intelligence (BI) are field that are always in evolution, so what’s the best way to you stand out? The answer might be simpler than you think: a well built portfolio. This article will explore why portfolios…