Udemy – Data science with R: tidyverse 2021-8

Udemy – Data science with R: tidyverse 2021-8 Downloadly IRSpace

Apr 17, 2025 - 11:34 Updated: Aug 17, 2025 - 11:55

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Udemy – Data science with R: tidyverse 2021-8

Data science with R: tidyverse, Data Science skills are still one of the most in-demand skills on the job market today. Many people see only the fun part of data science, tasks like: “search for data insight”, “reveal the hidden truth behind the data”, “build predictive models”, “apply machine learning algorithms”, and so on. The reality, which is known to most data scientists, is, that when you deal with real data, the most time-consuming operations of any data science project are: “data importing”, “data cleaning”, “data wrangling”, “data exploring” and so on. So it is necessary to have an adequate tool for addressing given data-related tasks. What if I say, there is a freely accessible tool, that falls into the provided description above!

R is one of the most in-demand programming languages when it comes to applied statistics, data science, data exploration, etc. If you combine R with R’s collection of libraries called tidyverse, you get one of the deadliest tools, which was designed for data science-related tasks. All tidyverse libraries share a unique philosophy, grammar, and data types. Therefore libraries can be used side by side, and enable you to write efficient and more optimized R code, which will help you finish projects faster.

What you’ll learn

How to use R’s tidyverse libraries in your data science projects
How to write efficient R code for data science related tasks
What is clean data
How to clean your data with R
What is grammar of data wrangling
How to wrangle data with dplyr and tidyr
How to import data into R
How to properly parse imported data
How to chain R’s functions into a pipeline
How to manipulate strings
What are Regular Expressions
How to use stringr library with Regular Expressions
How to use forcats library to manipulate categorical variables
How to visualize data with ggplot2 library
What is functional programing
How to use purrr library for mapping functions, nesting data, manipulating lists, etc.
What is relational data

Who this course is for

Anyone who is interested in data science
Anyone who is interested in data analysis
Anyone who is interested in writing efficient R code
Anyone whose job, research or hobby is related to data cleaning or data visualizing
Aspiring data scientists, statisticians or data (business) analysts
Anyone who deals with data modeling and is usually struggling with data preparation / cleaning step
Students working with data

Specificatoin of Data science with R: tidyverse

Publisher : Udemy
Teacher : Marko Intihar
Language : English
Level : All Levels
Number of Course : 200
Duration : 30 hours and 7 minutes

Content on 2022-10

Data science with R: tidyverse

Requirements

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 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 course material.

Udemy – Data science with R: tidyverse 2021-8