Description
Data science with R: tidyverse, data science training course with R programming language and tidyverse package has been published by Udemy Academy. Data science skills are still one of the most sought-after skills in today’s job market. Many people only see the fun part of data science, things like: “searching for data concepts”, “uncovering the hidden truth behind data”, “building predictive models”, “applying machine learning algorithms”. Etc. A well-known fact for most data scientists is that when you’re dealing with real data, the most time-consuming operations of any data science project are “data import,” “data cleansing,” data movement”, “data exploration” etc. Therefore, it is necessary to have a suitable tool to deal with the mentioned items. There is a free tool available, which has the features described.
R is one of the most widely used programming languages in applied statistics, data science, data mining, etc. If you combine R with a collection of libraries called Tidyverse, you get one of the best tools designed for data science work. Each library has a unique philosophy, grammar, and data types. So the libraries can be used together and write more efficient and optimized R code that helps you finish projects faster.
What you will learn
- How to use RISC stack libraries in your data science projects
- How to write efficient R code for data science tasks
- What is clean data?
- How to clean your data with R
- What is data preparation?
- How to sort data with dplyr and tidr
- How to import data into R
- How to parse the input data correctly
- How to connect R functions to a pipeline
- How to manipulate strings
- What are Regular Expressions?
- How to use the stringr library with Regular Expressions
- How to use the Forcats library to manipulate categorical variables
- How to visualize data with ggplot2 library
- What is functional programming?
- How to use the purrr library for mapping functions, nesting data, manipulating lists, etc.
- What is relational data?
Who is this course suitable for?
- Anyone interested in data science
- Anyone interested in data analysis
- Anyone interested in writing efficient R code
- Anyone whose job, research or hobby is related to data cleaning or data visualization.
- Data scientists, statisticians or data analysts (business)
- Anyone who deals with data modeling usually struggles with the stage of data preparation or cleaning.
- Students working with data
Data science with R course specifications: tidyverse
- Publisher: Udemy
- teacher : Marko Intihar
- English language
- Education level: all levels
- Number of courses: 200
- Training duration: 30 hours and 7 minutes
Head of the course chapters on 2022-10
Course prerequisites
- R and RStudio already installed on your computer.
- Basic knowledge of statistics is a plus.
- Basic to intermediate R knowledge is a plus.
- Complete R beginners will find the course more challenging.
- For complete R beginners I recommend first taking one of the R beginners courses.
- Interest in data science and data science related tasks.
- Interest in how to write efficient R code.
- Please update R or R’s libraries if necessary. List of versions (R and all R’s libraries used in the exercises) provided at the beginning and at the end of the course material.
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
10.04 GB
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