Introduction to Statistics in R

DataCamp

(3)

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Beginner

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Statistics is the study and analysis data. Statistics is a powerful tool that can help you to see the future and answer many questions. What is the likelihood that someone will buy your product? How many phone calls will your support team receive? How many calls will your support staff receive? This course will show you how to use sales data for these answers. Learn how scatterplots can show correlation and the relationship between numeric numbers. Probability, which forms the basis of statistical reasoning, is covered. Learn how to create a study that draws your conclusions.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with dplyr

Intermediate R

What You Will Learn

Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data

In this course, you'll use sales data to discover how to answer questions like these as you grow your statistical skills and learn how to calculate averages, use scatterplots to show the relationship between numeric values, and calculate correlation

You'll also tackle probability, the backbone of statistical reasoning, and learn how to conduct a well-designed study to draw your own conclusions from data

Course Content

Expand all sections

Module 1: Summary Statistics

Module 2: Random Numbers and Probability

Module 3: More Distributions and the Central Limit Theorem

Module 4: Correlation and Experimental Design

Course Instructors

Maggie Matsui

Curriculum Manager at DataCamp

Maggie is a Curriculum Manager at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statis...

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