Description
R Programming Hands-on Specialization for Data Science One of Udemy's training courses, which teaches R-programming in a fully-fledged way, especially to data science professionals, for statistical analysis. Irfan Elahi In this tutorial, I will include: setting up and using a development environment for R; installing and using packages in R; learning and using atomic data types in R; different ways to create axes in R; ; Vector labels and properties and their practical use; Advanced techniques for indexing matrices; and ….
Topics R Programming Hands-on Specialization for Data Science:
- Setup and Use the 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 the Necessities 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 the Matrix 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 natures in Lists of 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)
Download Link
Download Link Files Size 1.19 Gb
| Download Link | Size |
|---|---|
| Download Part 1 | 476.84 MB |
| Download Part 2 | 476.84 MB |
| Download Part 3 | 268.36 MB |
