BL
5.0Reviewed Aug 18, 2024
This is the course you can actually master the content in the course
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
Managing, Describing, and Analyzing Data
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 https://www.coursera.org/degrees/master-of-science-data-science-boulder.
Status: R Programming
Status: Sampling (Statistics)
BeginnerCourse18 hours
Featured reviews
BT
5.0Reviewed Apr 18, 2021
We learned some theory and practiced in R. A perfect combination!
MW
4.0Reviewed Mar 12, 2021
The instructor is clear and easy to follow. The lessons are succinct. It helps to be familiar with the topics already.
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Michelle White
4.0
Reviewed Mar 13, 2021Flores-Andrade, E.
4.0
Reviewed Dec 24, 2022I liked the course. I just feel that more examples similar to those presented in the exams are needed.
Blake Tagget
5.0
Reviewed Apr 19, 2021We learned some theory and practiced in R. A perfect combination!
Zhaoyang Liu
5.0
Reviewed Jul 2, 2022Wishing 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.
Christopher James Taylor
5.0
Reviewed Jul 27, 2023This is the best course offered through the MS-DS program at CU.
The lectures are concise and informative. The assessments are challenging but fair. Professor Martin is fantastic - she's very active on the platform and goes out of her way to help students understand the concepts. I highly recommend this class.
Gabriel Alejandro Fernández González
5.0
Reviewed Nov 3, 2020Buen 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.
Bin Isaac Lin
5.0
Reviewed Aug 18, 2024This is the course you can actually master the content in the course
Jean-Philippe Maillard
5.0
Reviewed Mar 10, 2021What a great course!
Owoloye Afolabi
5.0
Reviewed Apr 21, 2021Great
Rafi Hadzami
5.0
Reviewed Jul 14, 2025good