Managing, Describing, and Analyzing Data
Master data analysis fundamentals with R software, from descriptive statistics to probability distributions. Perfect for beginners in data science.
Course Cost
Free course
Beginner
Skill Level
15 Hours
Self-paced lessons
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.
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
This course includes:
5.5 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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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
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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.




