Data Analysis Using Python

Data analysis is the process of systematically examining and interpreting data to conclude, identify patterns, and make decisions. Data analysts work with large and complex datasets, and use a variety of tools and techniques to clean, transform, and aggregate the data. They also use statistical methods to identify patterns, correlations, and trends within the data, and to make predictions about future outcomes. Data analysis is a critical part of data wrangling because it allows us to make sense of large and complex datasets, and to use that information to drive better decision-making. During the data wrangling process, we typically encounter data that requires cleaning, transformation, and aggregation in order to be analyzed. Once the data has been prepared, data analysis helps us to identify trends, correlations, and relationships within the data.