This section focuses on exploring common analytical techniques utilized in Data Analytics. It delves into the concept of exploratory data analysis, highlighting its purpose and significance in discovering insights and patterns within data. The importance of data visualization in the exploration process is also discussed. Furthermore, it introduces a collection of basic analytical tools essential for data analysts, such as regression analysis, analysis of variance (ANOVA), chi-square goodness of fit, factor analysis, cluster analysis, and time series analysis. In addition, the section introduces users to advanced analytical methods, including how ChatGPT works, the definition and applications of machine learning, and a brief history of artificial intelligence.
