Statistics for Data Analysis Using R

Perform simple or complex statistical calculations using R Programming. - You don't need to be a programmer for this:)Learn statistics, and apply these concepts in your workplace using R. The course will teach you the basic concepts related to Statistics and Data Analysis, and help you in applying these concepts.

Various examples and data sets are used to explain the application. I will explain the basic theory first, and then I will show you how to use R to perform these calculations. The following areas of statistics are covered:Descriptive Statistics - Mean, Mode, Median, Quartile, Range, Inter Quartile Range, Standard Deviation.

(Using base R function and the psych package)Data Visualization - 3 commonly used charts: Histogram, Box and Whisker Plot and Scatter Plot (using base R commands)Probability - Basic Concepts, Permutations, Combinations (Basic theory only)Population and Sampling - Basic concepts (theory only)Probability Distributions - Normal, Binomial and Poisson Distributions (Base R functions and the visualize package)Hypothesis Testing - One Sample and Two Samples - z Test, t-Test, F Test, Chi-Square TestANOVA - Perform Analysis of Variance (ANOVA) step by step doing the manual calculation and by using R. What are other students saying about this course. This course is a perfect mix of theory and practice.

I highly recommend it for those who want to not only get good with R, but to also become proficient in statistics. (5 stars by Aaron Verive)You get both the "how" and "why" for both the statistics and R programming. I'm really happy with this course.