Book Abstract: This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models, and techniques, along with ...
A data analysis application in Python can efficiently process and visualize vast datasets, making it easier to interpret complex temperature trends. LightningChart is a high-performance charting ...
The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both - providing the reader with both theoretical and applied information on ...
Welcome to the Olympics Data Analysis web application! This web application is designed to provide users with insights and information about the Olympic games. It includes data on the athletes, ...
The course provides knowledge of sequencing technologies and hands-on experience with the analysis of data from several current sequencing platforms and for various biological and medical applications ...
The programme also provides ideal training for those considering a career in research where modelling and data analysis skills are important. Overseas applicants: 25 July 2025. Home applicants: 8 ...
In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear regression analysis, ANOVA ...
Low-rank priors, a fundamental assumption for dimensionality reduction, have attracted a lot of attention in the last decade. They have wide applications in machine learning, data analysis, ...
The Computational Data Analysis minor will provide students with the necessary mathematical and statistical background to develop and apply various data analysis techniques to real world datasets. The ...
General approach to managing the data flow in the organization. • Basic skills set of a data analyst and its application into one’s daily work. As data, data analysis and forecasting becomes an ...