Udemy – Nonprofit Data Analysis Using R 2024-9

What you will learn in the Nonprofit Data Analysis Using R course

• Loading data from various sources into R (files, databases)
• Cleaning and transforming data using tidyverse packages
• Quickly review and visualize data trends
• Project-based learning with real-world scenarios: All lessons are based on common questions faced by data analysts.
• Focus on content: The structure and lectures of the course are based on the everyday workflow of data analysts rather than a bottom-up approach to R programming. Practically, this means that we don’t spend a lot of time learning about R and the fundamentals of programming; We’ll jump right into how you’ll use it.
• Up-to-date (and constantly updated) code: I work with R every day, making sure you learn the best and most efficient ways to do the most common and important things. For example, the rowwise function in the dplyr package allows you to perform calculations in rows across columns. A single line of code can now do what used to be much more challenging.
• Realism: I keep shooting when I make a mistake. You can learn a lot from mistakes. R was my first programming language, and I gave up twice because of too many errors, too much time to learn it, and frustration with online courses that omitted important steps or assumed knowledge that didn’t exist. I’ll try to explain what we’re doing as we go, and then give you a chance to try it yourself with a different (but related) dataset.
• Create professional visualizations and reports
• Perform time series analysis
• Perform feature engineering for deeper analysis
• Automating reports with Rmarkdown

This course is suitable for people who

• Employees of non-profit organizations who are responsible for measuring and understanding the performance of programs.
• Employees who work with spreadsheets and are looking for more capacity and efficiency.

Installation guide

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Subtitle: None

Quality: 720p