Foundations of Probability in R

Name: Foundations of Probability in R
Brand: Careervira
Price: 150 USD
Availability: InStock
Rating: 1 (1 reviews)

via

DataCamp

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Visit Course Report

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

This course on probability explores the study and prediction of random phenomena. It covers various topics such as random variables, distributions, and conditioning. To better understand these concepts, the course uses the example of coin flips. By taking this course, you will learn how to solve random simulation challenges using the programming language R. These principles are not only applicable to statistical inference but also to drawing conclusions from data. Overall, this course serves as a solid foundation for anyone interested in learning about probability and its practical applications, particularly in the context of R programming.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

What You Will Learn

In this course, you'll learn about the concepts of random variables, distributions, and conditioning, using the example of coin flips

You'll also gain intuition for how to solve probability problems through random simulation

Course Content

Expand all sections

Module 1: The binomial distribution

Module 2: Laws of probability

Module 3: Bayesian statistics

Module 4: Related distributions

Course Instructors

David Robinson

Principal Data Scientist at Heap

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton Universit...