Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science
InstructorSandeep Kumar, Quality Gurus Inc.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This slide presents a quadrant diagram for the course 'Statistics using R', categorizing learners by their current proficiency in R and statistics alongside their specific learning goals.
This educational slide outlines the core components of statistics using R, distinguishing between descriptive methods for summarizing facts and inferential techniques for population analysis.
This instructional slide presents a quadrant diagram categorizing learners by their knowledge of R and Statistics, with a red box highlighting the group that wants to learn both subjects.
One sampled review suggests that the curriculum combines manual statistical calculations with R implementation, helping learners understand the 'how' and 'why' behind the code.
Instructional signals indicate a clear, step-by-step approach that utilizes easy-to-follow examples and built-in R datasets for practice.
The statistical coverage is characterized as very basic, which may necessitate external research for more advanced data science tasks. One signal from a review dated before the displayed update suggests this depth; however, the update label does not prove a correction has been made.
One signal from a review dated before the displayed update suggests the absence of video subtitles may hinder those who rely on reading to supplement auditory instruction. The update label does not prove this has been addressed.
The curriculum aligns with the goal of teaching R and basic statistics to novices.