The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

Learn the 4 types of data analytics, the 7 key models, the top 10 best practices for data analytics in 2023 and more.

Examples of Cross-Sectional Analysis Cross-sectional analysis is not used solely for analyzing a company; it can be used to analyze many different aspects of business.

Use the tools and techniques of data analysis to make sense of mountains of information.

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques to do so.

Learn all about fundamental analysis, including its definition, practical examples, and the best research tools for utilizing it effectively.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Learn the process, techniques, and examples of scenario analysis to understand its use in evaluating financial risks and forecasting portfolio outcomes.

Principal component analysis is often incorporated into genome-wide expression studies, but what is it and how can it be used to explore high-dimensional data?