Datacamp – Data Analyst with R 2023-11

Datacamp – Data Analyst with R 2023-11 Downloadly IRSpace

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Apr 17, 2025 - 13:20 Updated: Apr 21, 2025 - 05:23
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Datacamp – Data Analyst with R 2023-11
Datacamp – Data Analyst with R 2023-11

Data Analyst with R, Gain the career–building R skills you need to succeed as a data analyst! No prior coding experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data in R. all integral skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr.

You’ll also develop your data manipulation and exploratory data analysis skills by working with a wide range of real-world datasets, including everything from U.S. income data to global food consumption. You’ll then gain the statistical skills you’ll need to perform hypothesis testing. Start this track, grow your R skills, and begin your journey to becoming a confident data analyst.

What you’ll learn

  • Introduction to the Tidyverse
  • Data Manipulation with dplyr
  • Joining Data with dplyr
  • Introduction to Statistics in R
  • Introduction to Data Visualization with ggplot2
  • Data Manipulation with R
  • Sampling in R
  • Hypothesis Testing in R

Specificatoin of Data Analyst with R

  • Publisher : Datacamp
  • Teacher : JONATHAN CORNELISSEN
  • Language : English
  • Level : All Levels
  • Number of Course : 9
  • Duration : 36 hours to complete the course

Content of Data Analyst with R

Data Analyst with R

Pictures

Data Analyst with R

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Introduction to R

Download – 55 KB

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

Exploratory Data Analysis in R

Download – 133 MB

Sampling in R

Download – 80 MB

Hypothesis Testing in R

Download – 89 MB

File size

665 MB

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