Data Analyst 101

Chapter 1 : Understanding Data Analytics

Data analytics is a rapidly growing field that is becoming increasingly important in today's world. In this chapter, we will define data analytics, provide an overview of its history and evolution, and discuss its importance in various fields.

What is Data Analytics?

Data analytics is the process of examining data sets in order to draw conclusions about the information they contain. It involves the use of mathematical and statistical methods to analyze data and extract insights from it. The ultimate goal of data analytics is to use data to make informed decisions that lead to better outcomes.

History and Evolution of Data Analytics:

The field of data analytics has been around for several decades, but it has evolved significantly over time. In the early days of data analytics, the focus was on analyzing structured data, such as data in spreadsheets and databases. However, with the explosion of the internet and the growth of social media, the amount of data being generated increased dramatically, and data analytics had to evolve to keep up.

The emergence of big data analytics in the early 2000s marked a major shift in the field. Big data analytics focuses on analyzing large and complex datasets that cannot be easily analyzed using traditional methods. With the development of new technologies and tools, such as Hadoop and Spark, big data analytics has become increasingly accessible and powerful.