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.
課程信息
Beginner level; no previous experience necessary.
您將學到的內容有
Calculate descriptive statistics and create graphical representations using R software
Solve problems and make decisions using probability distributions
Explore the basics of sampling and sampling distributions with respect to statistical inference
Classify types of data with scales of measurement
您將獲得的技能
- analyzing data
- describing data
- using R
- graphing data
Beginner level; no previous experience necessary.
提供方

科罗拉多大学波德分校
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.
立即開始攻讀碩士學位
授課大綱 - 您將從這門課程中學到什麼
Data and Measurement
Upon completion of this module, students will be able to use R and R Studio to work with data and classify types of data using measurement scales.
Describing Data Graphically and Numerically
Upon completion of this module, students will be able to use R and RStudio to create visual representations of data, and calculate descriptive statistics to describe location, spread and shape of data.
Probability and Probability Distributions
Upon completion of this module, students will be able to apply the rules and conditions of probability and probability distributions to make decisions and solve problems using R and R Studio.
Sampling Distributions, Error and Estimation
Upon completion of this module, students will be able to use R and RStudio to characterize sampling and sampling distributions, error and estimation with respect to statistical inference.
審閱
- 5 stars63.15%
- 4 stars26.31%
- 3 stars5.26%
- 1 star5.26%
來自MANAGING, DESCRIBING, AND ANALYZING DATA的熱門評論
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!
關於 Data Science Methods for Quality Improvement 專項課程
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.

常見問題
我什么时候能够访问课程视频和作业?
我订阅此专项课程后会得到什么?
有助学金吗?
還有其他問題嗎?請訪問 學生幫助中心。