Recent Developments in Data Science Tools and Applications

Many learning-related processes are involved in data science, and great amounts of potentially rich data are generated in educational institutions continuously.

The application of data science is of great interest to stakeholders across all fields because the extracted knowledge from data is useful in identifying and solving problems.

The tools and applications used in data science are being updated every year, and it is essential to remain up to date on these advancements. Recent Developments in Data Science Tools and Applications presents the data science journey from theory and concepts, methods, techniques, tools, and recent trends in data science technologies.

It highlights the comparison among the existing techniques of various problems in data analytics, visualization, and other related fields.

Covering topics such as face recognition, requirements engineering, and software systems, this premier reference source is an excellent resource for data scientists, practitioners, business leaders, government officials, engineers, students and educators of higher education, researchers, and academicians.