Statistical Concepts Explained and Applied in R

Thoroughly understand statistical concepts, apply them in R and interpret the results correctly with maximum validity

4.35 (74 reviews)
Udemy
platform
English
language
Science
category
instructor
Statistical Concepts Explained and Applied in R
18,833
students
5.5 hours
content
Nov 2022
last update
$69.99
regular price

What you will learn

Thorough understanding of basic and advanced statistical theory

How to perform simple and advanced statistical analyses in R

How to fully and correctly interpret the results

How to correctly present the results in papers or reports

How to get reproducible results with every type of analysis carried out in the course

How to make accurate predictions based on your regression results

How to deal with real issues in statistical modeling

The concepts are made simple and the understanding about them is at an advanced level once you finish the course

Description

This course takes you from basic statistics and linear regression into more advanced concepts, such as multivariate regression, anovas, logistic and time analyses. It offers extensive examples of application in R and complete guidance of statistical validity, as required for in academic papers or while working as a statistician.

Statistical models need to fulfill many requirements and need to pass several tests, and these make up an important part of the lectures.

This course shows you how to understand, interpret, perform and validate most common regressions, from theory and concept to finished (gradable) paper/report by guiding you through all mandatory steps and associated tests.

Taught by a university lecturer in Econometrics and Math, with several international statistical journal publications and a Ph.D. in Economics, you are offered the best route to success, either in academia or in the business world.

The course contents focus on theory, data and analysis, while triangulating important theorems and tests of validity into ensuring robust results and reproducible analyses. Start learning today for a brighter future!

Content

Introduction to the course

Introduction

Single Linear Regression

Install R, RStudio and Basic Functionality
Basics of Linear Regression
Basics of Linear Regression Ctnd
Linear Regression Analysis
Linear Relationships
Line of Best Fit, SSE and MSE
Linear Regression Analysis Ctnd
Regression Results and Interpretation
Predicting Future Profits
Statistical Validity Tests
Statistical Validity Discussion
Additional Resources
Single Linear Regression

Multiple Regression

Multiple Linear Regression
Importing the data
Correlation Matrix and MLR
MLR Results and ANOVA
The Best Model?
Interaction Terms and Validity Testing
ANOVA and Predictions

Reviews

Victor
October 5, 2020
Good coverage nice with subtitles. Want more advanced topics for Sao Paolo Univerisity studies gracias
Mike
October 5, 2020
Been following the R bootcamp on Youtube nice to have the course coming out as well. Looking forward to more basic R bootcamp videos as well, all the best from Belgium

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Related Topics

2901292
udemy ID
3/23/2020
course created date
10/21/2020
course indexed date
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course submited by