Statistics with R - Beginner Level

Learn essential statistical analysis in R with this comprehensive course! Stop wasting time searching for R tutorials – get step-by-step, visual explanations for key statistical techniques.

This course empowers you to confidently perform fundamental statistical procedures using the powerful R programming language. You'll master the ability to:

• Data Manipulation in R: Learn how to effectively prepare your data for analysis. Covered topics include:

  • Filtering data frames
  • Recoding variables
  • Creating new variables from existing ones

• Calculate Key Statistical Measures: Understand and compute crucial statistical indicators in R, including:

  • Mean, median, and standard deviation
  • Skewness and kurtosis
  • Calculate these measures for both the entire dataset and specific subgroups.

• Data Visualization with R: Transform your data into insightful visuals. You'll learn to create:

  • Tables and cross-tables for data summarization
  • Histograms and cumulative frequency charts
  • Column and mean plots
  • Scatterplot charts to identify relationships
  • Boxplot charts for data distribution analysis

• Assumption Checking: Ensure the validity of your statistical results. We'll cover:

  • Checking for normality in your data
  • Identifying and handling outliers

• Basic Statistical Tests: Apply fundamental statistical tests to draw meaningful conclusions. You'll learn to perform and interpret:

  • One-sample t-test
  • Binomial test
  • Chi-square test for goodness-of-fit

By the end of this course, you'll have a solid foundation in performing essential statistical tests in R and interpreting the results. Enroll today and unlock the power of data analysis!