นักวิเคราะห์ข้อมูล ใน R

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

Analyze the popularity of programming languages over time based on Stack Overflow data.

Learn to combine data across multiple tables to answer more complex questions with dplyr.

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

เรียนรู้การสร้างการแสดงผลข้อมูลที่สวยงามและมีความหมายด้วย ggplot2 โดยเข้าใจไวยากรณ์ของกราฟิก

Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

Master sampling to get more accurate statistics with less data.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Perform a hypothesis test to determine if more goals are scored in women's soccer matches than men's!