In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You will describe data both graphically and numerically using descriptive statistics and R software. You will learn four probability distributions commonly used in the analysis of data. You will analyze data sets using the appropriate probability distribution. Finally, you will learn the basics of sampling error, sampling distributions, and errors in decision-making.
Beginner level; no previous experience necessary.
コロラド大学ボルダー校（University of Colorado Boulder）
CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.
- 5 stars68.18%
- 4 stars22.72%
- 3 stars4.54%
- 1 star4.54%
MANAGING, DESCRIBING, AND ANALYZING DATA からの人気レビュー
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
We learned some theory and practiced in R. A perfect combination!
Data Science Methods for Quality Improvement専門講座について
Data analysis skills are widely sought by employers, both nationally and internationally. This specialization is ideal for anyone interested in data analysis for improving quality and processes in business and industry. The skills taught in this specialization have been used extensively to improve business performance, quality, and reliability.