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Item number: 106152611

Data Science Using R Training

Item number: 106152611

Data Science Using R Training

159,00 192,39 Incl. tax

Order this unique E-Learning Data Science Using R Training online, 1 year of 24/7 access to rich interactive videos, progress through reporting and testing.

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Brand:
R
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Data Science Using R E-Learning

Order this unique E-Learning course Data Science Using R online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.
R is one of the most widely used tools for data science. This path of courses covers common tasks required by data scientists who use R: data wrangling, debugging, defensive programming, and domain-specific language integration.

Course content

Data Wrangling in R

Course: 9 Minutes

  • Course Introduction
  • Introduction to Data Wrangling in R

The dplyr Library

Course: 52 Minutes

  • 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

Course: 13 Minutes

  • Data Manipulation with tidyr
  • Gathering with tidyr
  • Separating with tidyr

Rectangular Data Extraction

Course: 11 Minutes

  • Using readr
  • Using readxl

Practice: Using the dplyr Library

Course: 3 Minutes

  • Exercise: Combine dplyr Verbs

Debugging

Course: 30 Minutes

  • Course Introduction
  • Debugging with RStudio
  • Using Traceback
  • Debugging with Browser
  • Displaying Warnings and Messages
  • Implementing Handlers
  • Benchmarking in R

Defensive Programming in R

Course: 15 Minutes

  • Methods of Defensive Programming
  • Turning Warnings into Errors
  • Programming with Asserts

Memory Management

Course: 9 Minutes

  • Using pryr
  • Addressing Memory with pryr

Practice: Using Debugging

Course: 2 Minutes

  • Exercise: Debug with Browser

Utility Functions in R

Course: 33 Minutes

  • Course Introduction
  • Using substitute, quote, and deparse
  • Using ast
  • Using str
  • Lazy Evaluation in R
  • Using eval
  • Using paste Functions

Classes and Operators

Course: 24 Minutes

  • Creating Reference Classes
  • Using class
  • Defining a Binary Operator
  • Simulating a Unary Operator

Code Translation

Course: 17 Minutes

  • Using SQL to R Translation
  • Exporting HTML tables
  • Exporting a LaTeX document
  • Using list2env

C and C++ Integration

Course: 15 Minutes

  • Connecting inline C++ to R
  • Calling External C++ with R
  • Using cfunction in R

Practice: Code Transformation

Course: 3 Minutes

  • Exercise: Output an R Table as LaTeX3

Library Tools

Course: 25 Minutes

  • 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

Course: 17 Minutes

  • Creating a shiny Application
  • Rendering a Plot in shiny
  • Displaying a JavaScript DataTable

R Markdown

Course: 25 Minutes

  • Using Markdown in R
  • Rendering HTML
  • Rendering LaTeX
  • Passing knitr Parameters
  • Referencing with bibtex

Practice: R Markdown Publishing

Course: 3 Minutes

  • Exercise: Create and Publish from R Markdown
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 5:04 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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