Nonprofit Data Analysis Using R

Learn Programming in R & R Studio • Descriptive, Inferential Statistics • Plots for Data Visualization • Data Science

Created by: Sandeep Kumar, ­ Quality Gurus Inc.
Experienced Quality Director • Six Sigma Coach • Consultant

What Will I Learn?

• Learn R programming from the ground up, starting from the basics and progressing to advanced data analysis techniques.
• Learn the basic statistical concepts first, followed by practical application using R Studio, combining theory and practice for effective learning.
• Master descriptive statistics, including mean, mode, median, skewness, and kurtosis, and how to apply these concepts to your data analysis.
• Understand and perform inferential statistics such as one and two-sample z-tests, t-tests, Chi-Square tests, F-tests, ANOVA, and TukeyHSD, and more.
• Explore probability distributions, including normal, binomial, and Poisson, and their applications in data analysis.
• Develop the skills to perform data manipulation, visualization, and statistical analysis using R.
• Apply statistical concepts in real-world scenarios, enhancing your problem-solving abilities and decision-making skills.
• Boost your career prospects with a strong foundation in statistics and R programming, valuable skills in today’s data-driven job market.
• Equip yourself with the tools to handle large datasets and perform complex statistical analyses with confidence.
• Enhance your ability to make data-driven decisions by mastering the use of R for statistical analysis.

Requirements

• Basic school level mathematics will be helpful.
• You will need to download and install R and R Studio on your PC or laptop. Both R and R Studio are for Free Software.

Target audience

• Anyone who want to use statistics to make fact based decisions.
• Anyone who wants to learn R and R Studio for career in data science.
• Anyone who thinks Statistics is confusing and wants to learn it in plain and simple language.