Introduction

In this section, we will begin by exploring the concept of structured datasets and how they are crucial for data analysis. We will then delve into the open data definition, understanding its significance and the benefits it brings to society and businesses.

Moving forward, we will discuss the five stars of open data, that helps assess the quality and accessibility of data. We will also address the challenges associated with using data in formats such as PDFs, which can be difficult to analyze in an automated manner, as opposed to tabular data formats, which are much more user-friendly for data analysis.

We will take a detailed look at the anatomy of a CSV (Comma-Separated Values), a widely used tabular data format, and understand how different types of data are represented and manipulated within these files. Character encoding will be another central topic, as it is essential to ensure that data is displayed and interpreted correctly across different systems.

Data documentation and the importance of metadata will also be emphasized, as they are key elements for the understanding and reusability of data. Finally, we will discuss data governance, a topic that encompasses the policies and practices that govern data management within an organization, ensuring that data is consistent, accurate, and reliable.

After each content, you will complete an exercise to consolidate your learning. Good luck with your studies! 🍀