Download Datacamp – Data Scientist with R 2023-11

Description

Data Scientist with R, Data Scientist with R course is published by Datacamp Academy. You’ll learn how to use R for data science, from data manipulation to machine learning, while gaining the R skills you need to succeed as a data scientist. As you progress through the courses in this track, you’ll discover how learning data science with R can help you import, clean, manipulate, and visualize data. R is a versatile language for any aspiring data scientist or researcher. By learning the necessary skills, you’ll build a solid foundation for your data science journey.
Through interactive exercises, you will be introduced to some of the most popular R packages, including tidyverse packages such as ggplot2, dplyr, and readr. You’ll work with real-world datasets, write your own functions, and learn fundamental statistical and machine learning techniques. Embark on this path, enhance your R programming and data science skills, and begin your journey to becoming a confident data scientist.

What you will learn

• Principles of R
• Introducing tidyverse
• Manipulating data with dplyr
• Join data with dplyr
• Statistics in R
• Data visualization with ggplot2
• Data manipulation with R
• Data communication concepts
• Data cleaning in R
• Working with date and time in R
• Entering and deleting data with R
• Writing functions in R
• Regression in R
• Sampling in R
• Hypothesis testing in R
• Statistical principles with R

Data Scientist with R course specifications

• Publisher: Datacamp
• teacher : JONATHAN CORNELISSEN
• English language
• Education level: all levels
• Number of courses: 22
• Training duration: 88 hours to complete the course

Chapters of the Data Scientist with R course

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Sample video

Installation guide

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English subtitle

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Introduction to R

Download – 55 KB

Intermediate R

Download – 137 MB

Introduction to the Tidyverse

Download – 97 MB

Data Manipulation with dplyr

Download – 49 MB

Joining Data with dplyr

Download – 63 MB

Introduction to Statistics in R

Download – 85 MB

Introduction to Data Visualization with ggplot2

Download – 65 MB

Intermediate Data Visualization with ggplot2

Download – 230 MB

Data Communication Concepts

Download – 95 MB

Introduction to Importing Data in R

Download – 81 MB

Cleaning data in R

Download – 72 MB

Working with Dates and Times in R

Download – 77 MB

Introduction to Writing Functions in R

Download – 64 MB

Exploratory Data Analysis in R

Download – 133 MB

Introduction to Regression in R

Download – 76 MB

Intermediate Regression in R

Download – 65 MB

Sampling in R

Download – 80 MB

Hypothesis testing in R

Download – 89 MB

Experimental design in R

Download – 58 MB

Supervised Learning in R Classification

Download – 199 MB

Supervised Learning in R Regression

Download – 108 MB

Unsupervised Learning in R

Download – 59 MB

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Size

1.94 GB