Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of d

Summary Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cas

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics r

It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and

Primer into the multidisciplinary world of Data Science KEY FEATURESÊÊ - Explore and use the key concepts of Statistics required to solve data science problem