Description
R Programming: Advanced Analytics In R is the name of the video training collection in the field of R programming language. The course ahead of you is known as an advanced course. What you will learn in this training course will be related to analysis and analysis in data science with the help of R programming language. In fact, to watch the tutorials of this video course, you need to have a basic knowledge of the R programming language. You will enter a new level in R programming by watching the tutorials presented in this video course.
In this course, you will learn how to extract data for analysis using R programming. You will also learn how to calculate the average value, work with time and date, how to build and work with lists, 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 taught in this course:
- You will learn to prepare data and extract them using the R programming language
- Identify and find lost data
- Learn and understand how to use the () function in your programs
- Learn the functions you need in data science analysis
- Learn how to reset the initial index data
- And…
Course details:
- English language
- Duration: 05:56:15
- Number of courses: 51
- Education level: Advanced
- Lecturer: Kirill Eremenko, SuperDataScience Team
- File format: mp4
The topics of the course 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
Course prerequisites
R Programming: Advanced Analytics In R Requirements
- Basic knowledge of R
- Knowledge of the GGPlot2 package is recommended
- Knowledge of data frames
- Knowledge of vectors and vectorized operations
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
Version 2020/3 has increased in size by about 100 MB compared to 2018/6. No other information about the changes is available.
download link
Password file(s): www.downloadly.ir
Size
1.51 GB
Be the first to comment