The content focuses on central infrastructures that support computing activities, covering topics such as technical specifications of communication cables, modular solutions for data centers, optimization techniques, and the evolution of data mining practices. It also touches on essential aspects of data center operations, including security measures, cooling technologies, and the importance of energy efficiency. Additionally, there are discussions on the application of machine learning in predictive analytics for business decision-making within these facilities.
Introduction to Data Analysis explores methods for collecting, cleaning, visualizing, and interpreting data to uncover patterns and support decision-making. Learners gain foundational skills in statistics, analytical thinking, and tools like Excel, Python
