Descriptions
Data analyst with R, win The Career,Building R skills you need to succeed as a data analyst! No prior programming experience required. In this track, you’ll learn how to import, clean, manipulate, and visualize data in R. These are all essential skills for any aspiring data professional or researcher. Through interactive exercises, you’ll get hands-on experience with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr.
Yyou’ll Also Develop your data manipulation and exploratory data analysis skills by working with a wide range of real-world datasets, including everything from US income data to global food consumption. Then, gain the statistical skills you need to conduct hypothesis testing. Take this course, expand your R knowledge, and begin your journey to becoming a confident data analyst.
What you will learn
- introduction to Tidyverse
- Data Manipulation with dplyr
- accession Data with dplyr
- introduction to statistics in R
- introduction for data visualization with ggplot2
- Data Manipulation with R
- sampling in R
- hypothesis Testing in R
Specifications of the Data Analyst with R
- Publisher : Data Camp
- Teacher: JONATHAN CORNELISSEN
- Language: English
- Level: All levels
- Number of courses: 9
- Duration: 36 hours to complete the course
Content of the Data Analyst at R
Pictures
Sample clip
installation Guide
Extract the files and watch them with your favorite player
Subtitles: English
Quality: 720p
Download links
Introduction to R
Introduction to the Tidyverse
Data manipulation with dplyr
Connect data with dplyr
Introduction to Statistics in R
Introduction to data visualization with ggplot2
Exploratory data analysis in R
Sampling in R
Hypothesis testing in R
Password file(s): free download software
File size
665MB