
Data Science Using R E-learning
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Order this unique Elearning Data Science Using R course online, 1 year of 24/7 access to rich interactive videos, progress through reporting and testing.
- E-Learning - Online toegang: 365 dagen
- Taal: Engels (US)
- Certificaat van deelname
- Ordered before 23:00:00, delivered tomorrow
- Gecertificeerde docenten
- Interactieve training + praktijkopdrachten
- Certificaat van deelname
- More information? Contact us about this product
Data Science Using R E-learning
Course content
Data Wrangling in R
Course Introduction
Introduction to Data Wrangling in R
The dplyr Library
Data Wrangling with dplyr
Exploring Data with dplyr
Filtering with dplyr
Piping with dplyr
Mutating Data with dplyr
Summarizing Data with dplyr
Selecting with dplyr
Combining Data Sets with dplyr
Set Operations with dplyr
Arranging with dplyr
The tidyr Library
Data Manipulation with tidyr
Gathering with tidyr
Separating with tidyr
Rectangular Data Extraction
Using readr
Using readxl
Practice: Using the dplyr Library
Exercise: Combine dplyr Verbs
Debugging in R
Debugging
Course Introduction
Debugging with RStudio
Using Traceback
Debugging with Browser
Displaying Warnings and Messages
Implementing Handlers
Benchmarking in R
Defensive Programming in R
Methods of Defensive Programming
Turning Warnings into Errors
Programming with Asserts
Memory Management
Using pryr
Addressing Memory with pryr
Practice: Using Debugging
Exercise: Debug with Browser
Programming Techniques in R
Utility Functions in R
Course Introduction
Using substitute, quote, and deparse
Using ast
Using str
Lazy Evaluation in R
Using eval
Using paste Functions
Classes and Operators
Creating Reference Classes
Using class
Defining a Binary Operator
Simulating a Unary Operator
Code Translation
Using SQL to R Translation
Exporting HTML tables
Exporting a LaTeX document
Using list2env
C and C++ Integration
Connecting inline C++ to R
Calling External C++ with R
Using cfunction in R
Practice: Code Transformation
Exercise: Output an R Table as LaTeX
Domain-Specific Tools in R
Library Tools
Course Introduction
Exploring the tidyverse Collection of Libraries
Manipulating Strings with the stringr Library
Using the forcats Library
Using the purrr Library
Web Application Tools
Creating a shiny Application
Rendering a Plot in shiny
Displaying a JavaScript DataTable
R Markdown
Using Markdown in R
Rendering HTML
Rendering LaTeX
Passing knitr Parameters
Referencing with bibtex
Practice: R Markdown Publishing
Exercise: Create and Publish from R Markdown
Availabilty | 8 hours |
Language | English |
Certificate of participation | Yes |
Online access | 90 days |
Progress monitoring | Yes |
Award Winning E-learning | Yes |
Suitable for mobile | Yes |