Managing, Describing, and Analyzing Data

Wendy Martin

Offered By

Managing, Describing, and Analyzing Data

University of Colorado Boulder

About this Course

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 colorado.edu/data-science.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Beginner level; no previous experience necessary.

Approx. 12 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

What you will 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 will gain

analyzing datadescribing datausing Rgraphing data

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Beginner level; no previous experience necessary.

Approx. 12 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Instructor

Wendy Martin

W. Edwards Deming Professor of Management

Engineering Management Program

1,305 Learners

1 Course

Offered by

University of Colorado Boulder

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.

Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

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.

2 hours to complete

7 videos (Total 48 min)

Week

Week 2

2 hours to complete

Describing Data Graphically

Upon completion of this module, students will be able to use R and R Studio to create visual representations of data.

2 hours to complete

5 videos (Total 39 min)

Week

Week 3

2 hours to complete

Describing Data Numerically

Upon completion of this module, students will be able to use R and R Studio to calculate descriptive statistics to describe location, spread and shape of data.

2 hours to complete

6 videos (Total 46 min)

Week

Week 4

3 hours to complete

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.

3 hours to complete

8 videos (Total 69 min)

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

More questions? Visit the Learner Help Center.

Managing, Describing, and Analyzing Data

Managing, Describing, and Analyzing Data