Contents I. Introduction
The history of Data Science can be traced back to the late 1950s and early 1960s, when the term “computer science” was first used to describe the study of algorithms and computational processes. Over the years, the field has evolved to encompass a wider range of techniques and tools, including machine learning and many others to extract insights and knowledge from large and complex datasets. One of the fundamental concepts in Data Science is the process of wrangling the data, or the cleaning and transforming of raw data into a format that can be analysed and interpreted. This is often considered one of the most time-consuming and challenging aspects, as the data is usually messy and requires significant effort to prepare for analysis.
