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.
Managing, Describing, and Analyzing Data
Managing, Describing, and Analyzing Data
This course is part of Data Science Methods for Quality Improvement Specialization
Instructor: Wendy Martin
5,126 already enrolled
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4.7
(33 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 17 hours
Learn at your own pace
Earn a Certificate
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What you'll learn
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
Skills you'll gain
Details to know
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Assessments
11 assignments
Taught in English
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This course is part of the Data Science Methods for Quality Improvement Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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.
What's included
7 videos3 readings2 assignments2 discussion prompts
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.
What's included
11 videos3 assignments2 discussion prompts
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.
What's included
8 videos2 assignments1 discussion prompt
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.
What's included
8 videos2 assignments1 discussion prompt
Upon completion of this module, students will be able to use R and RStudio to perform statistical tests for two groups with independent and dependent data.
What's included
13 videos2 assignments
Instructor
Instructor ratings
4.4 (13 ratings)Offered by
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.7
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Showing 3 of 33
BL
5
Reviewed on Aug 18, 2024
This is the course you can actually master the content in the course
BT
5
Reviewed on Apr 18, 2021
We learned some theory and practiced in R. A perfect combination!
MW
4
Reviewed on 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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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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