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Defining, Describing, and Visualizing Data

This course is part of The Data Driven Manager Specialization.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full The Data Driven Manager Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

Instructors:

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Defining, Describing, and Visualizing Data

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Classify different types of data using measurement scales

  • Master descriptive statistics calculation using R software

  • Create effective data visualizations and interpret results

  • Apply probability distributions for decision making

  • Develop proficiency in using RStudio and ROIStat

Skills you'll gain

Data Analysis
R Programming
Statistics
Data Visualization
Probability Theory
Descriptive Statistics
Data Types
Statistical Analysis
RStudio
Data-Driven Decision Making

This course includes:

3.8 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

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There are 5 modules in this course

This comprehensive course introduces fundamental concepts in data analysis and visualization. Students learn to classify different types of data, work with measurement scales, and use R software for statistical analysis. The curriculum covers descriptive statistics, probability distributions, and data visualization techniques. Through hands-on practice with RStudio and ROIStat, learners develop practical skills in creating visual representations and calculating statistical measures. The course emphasizes both theoretical understanding and practical application for data-driven decision making.

Data and Measurement

Module 1 · 2 Hours to complete

Working with Data in RStudio and ROIStat

Module 2 · 1 Hours to complete

Describing and Visualizing Data

Module 3 · 1 Hours to complete

Determining Probabilities

Module 4 · 1 Hours to complete

Making Decisions with Discrete and Continuous Probability Distributions

Module 5 · 2 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: The Data Driven Manager Specialization

Instructor

Wendy Martin
Wendy Martin

4.3 rating

12 Reviews

8,140 Students

6 Courses

W. Edwards Deming Professor of Management

Wendy Martin is the W. Edwards Deming Professor of Management in the Lockheed-Martin Engineering Management Program at the University of Colorado Boulder, where she specializes in Quality Science. With a robust educational background, she earned her B.S. in Mechanical Engineering from Purdue University and a Master of Engineering from the University of Colorado Boulder, focusing on Six Sigma, quality systems, and applied statistics. Before her academic career, Wendy honed her skills in statistical methods through training at Luftig & Warren International and gained extensive industry experience during her 14 years at Anheuser-Busch, where she applied statistical techniques in an industrial setting.Since joining the Engineering Management program in 2014, Professor Martin has taught a variety of courses related to data analytics and quality management, including "Data Acquisition, Risk, and Estimation" and "Stability and Capability in Quality Improvement." Her expertise encompasses operational excellence, product quality, and reliability methods. In addition to her teaching responsibilities, she consults with organizations to address critical process-related challenges. Outside of academia, Wendy enjoys exploring generative AI and workflow automation, reflecting her commitment to continuous learning and innovation in both her professional and personal pursuits.

Defining, Describing, and Visualizing Data

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.