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Managing, Describing, and Analyzing Data

Master data analysis fundamentals with R software, from descriptive statistics to probability distributions. Perfect for beginners in data science.

Master data analysis fundamentals with R software, from descriptive statistics to probability distributions. Perfect for beginners in data science.

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 Data Science Methods for Quality Improvement 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.

4.6

(30 ratings)

4,603 already enrolled

Instructors:

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Managing, Describing, and Analyzing Data

This course includes

17 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Calculate descriptive statistics using R software

  • Create effective graphical representations of data

  • Apply probability distributions to solve problems

  • Understand sampling and sampling distributions

  • Perform statistical inference and hypothesis testing

  • Classify different types of data using measurement scales

Skills you'll gain

Data Analysis
R Programming
Statistical Analysis
Probability Distributions
Sampling Methods
Descriptive Statistics
Hypothesis Testing
Data Visualization
Statistical Inference
Data Science

This course includes:

5.5 Hours PreRecorded video

11 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This comprehensive course introduces learners to fundamental data analysis concepts and practical applications using R software. The curriculum covers data classification, descriptive statistics, probability distributions, and sampling methods. Through hands-on exercises, students learn to create graphical representations, calculate statistical measures, and perform basic inferential analyses. The course emphasizes practical skills while building a strong theoretical foundation in statistical concepts.

Data and Measurement

Module 1 · 2 Hours to complete

Describing Data Graphically and Numerically

Module 2 · 4 Hours to complete

Probability and Probability Distributions

Module 3 · 3 Hours to complete

Sampling Distributions, Error and Estimation

Module 4 · 3 Hours to complete

Two Sample Hypothesis Testing

Module 5 · 3 Hours to complete

Fee Structure

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.

Managing, Describing, and Analyzing Data

This course includes

17 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.6 course rating

30 ratings

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.