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Intermediate Statistical Modeling in R

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Certification

Intermediate Statistical Modeling in R

This course will allow you to improve your stat modeling skills, and dive into advanced concepts.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

BootstrapData ModelingStatistical AnalysisInflation

Learning Goals

In this intermediate course 2, we'll take a look at effect size and interaction, the concepts of total and partial change, sampling variability and mathematical transforms, and the implications of something called collinearity
This course has been written from scratch, specifically for DataCamp users. As you'll see, by using computing and concepts from machine learning, we'll be able to leapfrog many of the marginal and esoteric topics encountered in traditional 'regression' courses

Course Content

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Prerequisites/Requirements

Introduction to Statistical Modeling in R

Instructors

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Daniel Kaplan

DeWitt Wallace Professor at Macalester College

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

Reviews

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Course Cover

₹1,093

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