Finding the right guide to commence your statistical analyses journey using R programming will never be daunting anymore now that you are here.
Starting from navigating through the interface, setting up and styling your R studio, importing datasets, building charts and plots, computing simples statistical test and performing regression analyses, the fundamentals you need to know about this course are detailed pictorially, step by step.
So, what will you learn in this course?
We will begin by learning how to import, manipulate data in R, to prepare it for the analysis, filter, record and compute variables.
After which, we will perform simple statistical computations in R like mean, median, mode standard deviation, both in the whole population and in subgroups of the population.
Commence visualizing of our imported data using tables and charts, building cross-tables, histograms, cumulative frequency charts, scatterplot and boxplot charts.
Understanding that assumption checking is a very important part of any statistical analysis, we could not elude this topic by learning how to check for normality and presence of outliers.
And finally perform some basic, one-sample statistical tests and interpret the results, the likes of one-sample t test, the binomial test, the chi-square test for goodness-of-fit, analyses of variance (ANOVA) and regression analyses.
Upon completion of this course, you will know how to perform essential and rudimentary procedures in R program. What are you waiting for? ….. Enroll Now!