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Managing, Describing, and Analyzing Data に戻る

コロラド大学ボルダー校(University of Colorado Boulder) による Managing, Describing, and Analyzing Data の受講者のレビューおよびフィードバック



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. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at



Managing, Describing, and Analyzing Data: 1 - 6 / 6 レビュー

by Michelle W


The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.

by Blake T


We learned some theory and practiced in R. A perfect combination!

by Gabriel A F G


Buen curso. Las explicaciones teóricas son directas y están bien ejemplificadas. Además, yo nunca había trabajo con el lenguaje R ni RStudio, y considero que en el curso aprendí sobre ello de manera satisfactoria.

by Jean-Philippe M


What a great course!

by Owoloye A



by Cor v H


Very bad instructions. Mistakes in quizzes. I have finished but don't recommend this course.