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Probability and Uncertainty in Statistics
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Probability and Uncertainty in Statistics

This course is part of Data Literacy Specialization.

Course Cost

Free course

Intermediate

Skill Level

8 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 Literacy 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

2,884 Enrolled

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English

Powered by

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olive-leaves-logo

4.6

2,884 Enrolled

olive-leaves-logo

English

What you'll learn

  • Calculate and interpret probability in various scenarios

  • Understand random variables and probability distributions

  • Compute and interpret confidence intervals

  • Conduct effective hypothesis testing

  • Evaluate statistical significance in regression analysis

  • Assess uncertainty in polling and statistical estimates

Skills you'll gain

Statistical Analysis
Probability Theory
Hypothesis Testing
Confidence Intervals
Statistical Significance
Random Variables
Regression Analysis
Normal Distribution
Statistical Inference
Data Interpretation

This course includes:

1.6 Hours PreRecorded video

15 quizzes, 1 peer review

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.

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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PROVIDED BY

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Top companies offer this course to their employees

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 4 modules in this course

This comprehensive course explores probability theory and statistical uncertainty measurement. Students learn key probability concepts, probability distributions, and their application in quantifying uncertainty. The curriculum covers hypothesis testing, confidence intervals, and regression analysis interpretation. Special attention is given to statistical significance testing and its practical applications in data-driven decision making. The course combines theoretical foundations with practical examples to develop strong statistical reasoning skills.

Probability Theory

Module 1 · 2 Hours to complete

Random Variables and Distributions

Module 2 · 2 Hours to complete

Confidence Intervals and Hypothesis Testing

Module 3 · 2 Hours to complete

Quantifying Uncertainty in Regression Analysis and Polling

Module 4 · 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: Data Literacy Specialization

Reviews

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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.

Probability and Uncertainty in Statistics

Intermediate

Skill Level

8 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.