R Programming Hands-on Specialization for Data Science (Lv1)

R Programming Hands-on Specialization for Data Science (Lv1)

R Programming Hands-on Specialization for Data Science (Lv1)

100% off R Programming Hands-on Specialization for Data Science (Lv1) Udemy Coupon

An in-depth course on R language with real-world Data Science examples to supercharge your R data analysis skills, With its growing community of users in Open Source space, R allows you to productively work on complex Data Analysis and Data Science projects to acquire, transform/cleanse, analyse, model and visualise data to support informed decision making. But there's one catch: R has quite a steep learning curve!
Created by Irfan Elahi


What you'll learn

  • Setup and Use Development Environment for R
  • Install and Use Packages in R
  • Learn and use Atomic Data Types in R
  • Learn and apply advanced explicit/Implicit Coercioning in R
  • Learn multiple approaches to create vectors in R
  • Understand nuances and implications in Vector Coercions
  • Understand Vector indexing principles in R
  • Understand and leverage Vectors' flatness property
  • Understand Vector Labels and Attributes and their practical use-cases
  • Learn Matrices and multiple approaches for creation
  • Learn how Matrices Dimension Property works
  • Learn advanced techniques for Matrices Indexing
  • Learn Matrices Operations and Important Functions
  • Learn the amazing use-cases of Lists
  • Learn to leverage Lists' Recursive Nature
  • Learn multiple ways to create Lists (including from other data structures)
  • Learn critical nuances in Lists Indexing, Labels and Lists Properties
  • Learn multiple approaches to create Data Frames (including from other data structures)
  • Learn Data Frames sub-setting (beginner to advanced)
  • Learn how to impute missing values in Data Frames for efficient Data Analysis
  • Learn R Control Structures (Conditional statements and loops)
  • Learn to create and use R Functions
  • Understand Web Scraping Process
  • Learn R's Apply family of functions for advanced data manipulation
  • Learn Multiple ways to perform Web Scraping in R
  • Learn how to perform Data Munging, Cleansing and Transformation in R
  • Learn HTML and Document Object Model in the context of Web Scraping
  • Learn XPath Query Language for Web Scraping
  • Learn RSelenium setup and usage for advanced Web Scraping
  • Learn Regular Expression Functions in R for advanced analysis
  • Learn advanced Data Frames techniques for efficient data analysis
  • Learn how to perform statistical analysis and visualisation to derive insights in R

Students also bought
Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

Visualize data using R Base Graphics, Lattice Package and ggplot (GGPlot2) for data analysis and data science

SAS certification exam prep guide| Learn Base SAS, Advance SAS and SAS Analytics in a simple, visual and engaging style

Also read:

Select Comment System