Chapter 1: Data Acquisition, Data Structure, Data Types and Platforms for Data Analysis
Platforms for Data Analysis Over the years, there have been many platforms created and used by data scientists for their work and in the community. A few common free-to-use options are R and Python. R is a high-level programming language mainly created for the purposes of statistical analysis. While it is useful for data exploration, analysis and visualization, its usage lies more commonly in the field of research although there have been some commercial uses and applications of R. Python is another high-level programming language that is one of the most widely used for data science. This stems from the fact that Python is a beginner-friendly language that is easy to pick up and allows users to quickly get into Data Science and Machine Learning without having to go through a steep learning curve. It also serves as a general purpose programming languages and its dynamic use in other areas such as web programming and object-oriented programming allows it to have many other applications
