27.03.2025, 13:51
R Language Programming For Data Analysts
![[Bild: ENnag1HGY14v1WpJLSIDs6vYe7RJ6gTG.avif]](https://sanet.pics/storage-11/0325/avif/ENnag1HGY14v1WpJLSIDs6vYe7RJ6gTG.avif)
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 255.09 MB | Duration: 0h 57m
Introduction to R programming language. From beginner to data visualisation expert
What you'll learn
Learn the basics of R programming language
Learn how to install packages
Using data visualisation using datasets
Learn the tools to become independent in R
Requirements
No experience required
Description
Welcome to our beginner-friendly R Programming course, designed for aspiring data analysts looking to dive into the world of data analysis and visualization. Whether you're completely new to coding or transitioning from another tool, this course will give you the foundational knowledge needed to work confidently with R.We'll start by guiding you through the installation of R and RStudio, setting up your workspace for efficient coding. From there, you'll learn how to manage projects and work with data using R's powerful capabilities. You'll explore essential concepts like importing datasets, performing basic data manipulations, and using packages to streamline your analysis.Visualization is a key part of data analysis, and we'll cover techniques for creating impactful visualizations using scatter plots, bar charts, and other data visualization methods. With hands-on exercises and practical examples, you'll learn how to transform raw data into meaningful insights.By the end of the course, you will have the confidence to tackle data analysis projects, visualize findings, and make data-driven decisions. We'll also provide you with resources to continue expanding your skills independently.Join us on this learning journey and unlock the power of R Programming for your data analysis needs and join us on this journey!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Lesson 1: installing R & RStudio
Lecture 2 Lesson 1: installing R & RStudio
Section 3: Lesson 2: Data & Projects
Lecture 3 Lesson 2: Data & Projects
Section 4: Lesson 3: Packages
Lecture 4 Lesson 3: Packages
Section 5: Lesson 4: Scatter Plots
Lecture 5 Lesson 4: Scatter Plots
Section 6: Lesson 5: Bar Charts
Lecture 6 Lesson 5: Bar Charts
Section 7: Lesson 6: More Data Visualisation
Lecture 7 Lesson 6: More Data Visualisation
Beginner students
Screenshots
![[Bild: th_RRMTRB5PfgULJA78tAeyElbjF1QXfqJG.avif]](https://sanet.pics/storage-11/0325/avif/th_RRMTRB5PfgULJA78tAeyElbjF1QXfqJG.avif)
rapidgator.net:
https://rapidgator.net/file/d00cf44e0798...s.rar.html
nitroflare.com:
https://nitroflare.com/view/7F2DA0163AA9...alysts.rar
![[Bild: ENnag1HGY14v1WpJLSIDs6vYe7RJ6gTG.avif]](https://sanet.pics/storage-11/0325/avif/ENnag1HGY14v1WpJLSIDs6vYe7RJ6gTG.avif)
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 255.09 MB | Duration: 0h 57m
Introduction to R programming language. From beginner to data visualisation expert
What you'll learn
Learn the basics of R programming language
Learn how to install packages
Using data visualisation using datasets
Learn the tools to become independent in R
Requirements
No experience required
Description
Welcome to our beginner-friendly R Programming course, designed for aspiring data analysts looking to dive into the world of data analysis and visualization. Whether you're completely new to coding or transitioning from another tool, this course will give you the foundational knowledge needed to work confidently with R.We'll start by guiding you through the installation of R and RStudio, setting up your workspace for efficient coding. From there, you'll learn how to manage projects and work with data using R's powerful capabilities. You'll explore essential concepts like importing datasets, performing basic data manipulations, and using packages to streamline your analysis.Visualization is a key part of data analysis, and we'll cover techniques for creating impactful visualizations using scatter plots, bar charts, and other data visualization methods. With hands-on exercises and practical examples, you'll learn how to transform raw data into meaningful insights.By the end of the course, you will have the confidence to tackle data analysis projects, visualize findings, and make data-driven decisions. We'll also provide you with resources to continue expanding your skills independently.Join us on this learning journey and unlock the power of R Programming for your data analysis needs and join us on this journey!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Lesson 1: installing R & RStudio
Lecture 2 Lesson 1: installing R & RStudio
Section 3: Lesson 2: Data & Projects
Lecture 3 Lesson 2: Data & Projects
Section 4: Lesson 3: Packages
Lecture 4 Lesson 3: Packages
Section 5: Lesson 4: Scatter Plots
Lecture 5 Lesson 4: Scatter Plots
Section 6: Lesson 5: Bar Charts
Lecture 6 Lesson 5: Bar Charts
Section 7: Lesson 6: More Data Visualisation
Lecture 7 Lesson 6: More Data Visualisation
Beginner students
Screenshots
![[Bild: th_RRMTRB5PfgULJA78tAeyElbjF1QXfqJG.avif]](https://sanet.pics/storage-11/0325/avif/th_RRMTRB5PfgULJA78tAeyElbjF1QXfqJG.avif)
rapidgator.net:
https://rapidgator.net/file/d00cf44e0798...s.rar.html
nitroflare.com:
https://nitroflare.com/view/7F2DA0163AA9...alysts.rar