Query: practical data science with r
Digitization and Digital Archiving (Practical Guides for Librarians, 71) (Volume 71)
Practical Data Science with R
Practical Data Science With R [2nd Edition] (2020): Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas (2020)
Data Integrity and Data Governance: Practical Implementation in Regulated Laboratories
Practical Data Science with R
A Primer on Process Mining: Practical Skills with Python and Graphviz (SpringerBriefs in Information Systems)
Practical Data Science with R
Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data (Chapman & Hall/CRC Texts in Statistical Science)
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
Practical Statistics for Data Scientists: 50 Essential Concepts
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)
R for Political Data Science (Chapman & Hall/CRC The R Series)
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python