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Introduction to Probability and Data with R
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Introduction to Probability and Data with R

This course is part of Data Analysis with R Specialization.

Course Cost

Free course

Beginner

Skill Level

12 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 Analysis with R 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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4.7

2,86,995 Enrolled

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English

Powered by

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olive-leaves-logo

4.7

2,86,995 Enrolled

olive-leaves-logo

English

What you'll learn

  • Learn to use R and RStudio for data analysis

  • Master sampling methods and explore data visualization

  • Understand basic probability theory and Bayes' rule

  • Apply statistical concepts to real-world datasets

  • Develop skills in exploratory data analysis

Skills you'll gain

Statistics
R Programming
Data Analysis
Probability Theory
Exploratory Data Analysis
RStudio
Data Visualization
Bayesian Statistics
Sampling Methods
Statistical Inference

This course includes:

3.7 Hours PreRecorded video

11 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 8 modules in this course

This comprehensive course introduces students to the fundamentals of probability and data analysis using R. The curriculum covers sampling methods, exploratory data analysis techniques, basic probability theory, and Bayes' rule. Students gain hands-on experience with R and RStudio through practical lab exercises and a final project. The course emphasizes both theoretical understanding and practical application, serving as a foundation for more advanced statistical inference and modeling courses.

About Introduction to Probability and Data

Module 1 · 0 Hours to complete

Introduction to Data

Module 2 · 1 Hours to complete

Introduction to Data Project

Module 3 · 1 Hours to complete

Exploratory Data Analysis and Introduction to Inference

Module 4 · 2 Hours to complete

Exploratory Data Analysis Project

Module 5 · 1 Hours to complete

Introduction to Probability

Module 6 · 2 Hours to complete

Introduction to Probability Project

Module 7 · 1 Hours to complete

Probability Distributions

Module 8 · 4 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 Analysis with R 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.

Introduction to Probability and Data with R

Beginner

Skill Level

12 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.