Learn the foundations of data science by exploring, transforming, and visualizing data with R. In this course, you’ll develop core skills in exploratory data analysis and statistical thinking including: using visualizations to uncover patterns, identifying trends, and generating insights. You’ll gain hands-on experience with Tidyverse packages in R, work in RStudio, and create reproducible reports with Quarto. Along the way, you’ll also learn version control practices with Git and GitHub to document and share your work. By the end of this course, you’ll be able to transform and summarize data, craft clear and informative graphics, and communicate your findings through professional, reproducible workflows - laying the groundwork for all your future data science projects.
RK
As a R beginner, this is very to start on and work my way up to programming
显示：6/6
I’ve taken other R programming courses before, but this one was by far the clearest and smoothest. I really liked being able to watch the videos, pause them, and code along step by step, it made everything much easier to understand. I’d definitely recommend this course to anyone who wants to learn R in a practical and clear way.
This course is top! It is very clear, the explanations are very informative and there are many resources available. The level is really beginner friendly and the course overall is extremely easy to follow
As a R beginner, this is very to start on and work my way up to programming
Crystal clear explained how R can be used for EDA
Curso completo e muito didático!
sangat baik