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Вернуться к Managing, Describing, and Analyzing Data

Отзывы учащихся о курсе Managing, Describing, and Analyzing Data от партнера Колорадский университет в Боулдере

Оценки: 22

О курсе

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

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1–7 из 7 отзывов о курсе Managing, Describing, and Analyzing Data

автор: Michelle W

13 мар. 2021 г.

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

автор: Blake T

19 апр. 2021 г.

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

автор: Zhaoyang L

2 июля 2022 г.

Wishing the 3 courses to be one of the elective courses for the MEM besides the master of data science!!!

The data science for quality improvement specification is the right one for me.

It is quite challenging but I finally achieved it. The course is very practical with good case studies and exercises, the R is an enhancement tool for my professional job as a black belt of six sigma.

Thanks to Professor Martin for the great support to answer the questions while got problems with the r programming.

автор: Gabriel A F G

3 нояб. 2020 г.

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.

автор: Jean-Philippe M

10 мар. 2021 г.

What a great course!

автор: Owoloye A

21 апр. 2021 г.


автор: Cor v H

25 авг. 2020 г.

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