R Studio - A Crash Course

Ready to dive into real-world data analysis? This course provides a fast-track approach to working with data in R Studio, designed for minimal time investment.

We begin with a quick overview of the R Studio interface to get you comfortable with the environment. Then, we immediately jump into a real-world data file, guiding you through a practical, step-by-step data screening routine. You'll master techniques for:

• Inspecting variable distributions using informative bar charts and histograms.
• Identifying and handling Chr (string) variables.
• Counting missing values (NA) effectively.
• And much more!

Next, you'll learn fundamental data analysis methods, including:

• Creating frequency tables with frequencies and column percentages.
• Calculating descriptive statistics for overall observations and subgroups.
• Analyzing contingency tables with frequencies and column percentages.
• Performing Pearson correlations with options for listwise and pairwise handling of missing data.

This course also covers essential data import and export skills, enabling you to seamlessly work with various file types in R Studio:

• Importing and exporting .R, .RData, .RDS, Excel, .CSV, .SAV, and .PNG files.

Finally, enhance your data manipulation capabilities with practical data editing skills:

• Reordering and removing variables (columns).
• Removing observations (rows).
• Counting NA values within observations.
• Computing means and sums over variables, with and without considering missing data.

In short, you'll gain the essential skills to confidently work with real-life data using R Studio. Start coding today! Happy data analysis! 😉