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Managing, Describing, and Analyzing Data
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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.

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.

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4.6

4,603 Enrolled

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English

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olive-leaves-logo

4.6

4,603 Enrolled

olive-leaves-logo

English

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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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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.

Managing, Describing, and Analyzing Data

Beginner

Skill Level

15 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.