Udemy – R Programming: Advanced Analytics In R For Data Science 2020-3

Description

R Programming: Advanced Analytics In R is the name of the video tutorial in the R programming language. The course ahead of you is known as an advanced course. What you will learn in this course will be about analysis in data science using the R programming language. In fact, to watch the tutorials in this video course, you need to have a basic familiarity with the R programming language. You will enter a new level in R programming by watching the tutorials provided in this video course.

In this course, you will learn how to extract information for analysis using R programming. You will also learn how to calculate the average value, work with time and date, how to build lists and how to work with them, use basic and key functions, and more. On the other hand, you will learn how to use apply, lapput and sapply instead of loops.

Items that are taught in this course

You will learn how to prepare data and extract it using the R programming language

Identify and find lost data

Learn and understand how to use the () function in your applications

Learn the functions you need in data science analysis

Learn how to reset the index index data

Course information

English language

Duration: 05:56:15

Number of courses: 51

Level of training: Advanced

Instructor: Kirill Eremenko, SuperDataScience Team

File format: mp4

Course Topics R Programming: Advanced Analytics In R

Course content 51 lectures 05:56:15

Welcome To The Course 3 lectures 06:55

Data Preparation 22 lectures 02:27:13

Lists in R 11 lectures 01:28:47

“Apply” Family of Functions 14 lectures 01:51:27

Bonus lectures 1 lecture 01:53

Prerequisite

R Programming: Advanced Analytics In R Requirements

Basic knowledge of R

Knowledge of the GGPlot2 package is recommended

Knowledge of dataframes

Knowledge of vectors and vectorized operations

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

The 2020/3 version has increased in size by about 100 MB compared to the 2018/6. No other information of the changes is available.