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Books > Subjects > Computers & Technology > Software > Mathematical & Statistical

An Introduction to Creating Standardized Clinical Trial Data with SAS
R 1,706
An Introduction to Creating Standardized Clinical Trial Data with SAS

Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))
R 1,513
Statistics in a Nutshell: A Desktop Quick Reference (In a Nutshell (O'Reilly))

A Beginner's Guide to R (Use R!)
R 2,649
A Beginner's Guide to R (Use R!)

Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R
R 698
Introductory R: A Beginner's Guide to Data Visualisation, Statistical Analysis and Programming in R

Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries
R 1,194
Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries

Learning R: A Step-by-Step Function Guide to Data Analysis
R 1,685
Learning R: A Step-by-Step Function Guide to Data Analysis

Excel for Beginners: A Quick Reference and Step-by-Step Guide to Mastering Excel's Fundamentals, Formulas, Functions, Charts, Tables, and More with Practical Examples
R 740
Excel for Beginners: A Quick Reference and Step-by-Step Guide to Mastering Excel's Fundamentals, Formulas, Functions, Charts, Tables, and More with Practical Examples

All of statistics : A concise course in statistic inference
R 913
All of statistics : A concise course in statistic inference

Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python (Machine Learning & Data Science for Beginners)
R 913
Data Science Crash Course for Beginners with Python: Fundamentals and Practices with Python (Machine Learning & Data Science for Beginners)

Excel for Beginners: A Quick, Comprehensive, and Step-by-Step Guide to Learn Excel Fundamentals, Formulas, Functions, Macros, Management, and Visualization of Data with Practical Examples
R 740
Excel for Beginners: A Quick, Comprehensive, and Step-by-Step Guide to Learn Excel Fundamentals, Formulas, Functions, Macros, Management, and Visualization of Data with Practical Examples

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