Statistical Concepts Explained and Applied in R

本课程将带您从基本的统计和线性回归到更高级的概念，例如多元回归、方差分析、逻辑和时间分析。它提供了在 R 中应用的广泛示例和统计有效性的完整指导，这是学术论文或作为统计学家工作时的要求。
统计模型需要满足许多要求，需要通过多次测试，这些构成了讲座的重要组成部分。
本课程通过指导您完成所有强制性步骤和相关测试，向您展示如何理解、解释、执行和验证最常见的回归，从理论和概念到完成的（可评分的）论文/报告。
由大学计量经济学和数学讲师任教，曾发表多篇国际统计期刊出版物和博士学位。在经济学领域，无论是在学术界还是在商界，您都将获得通往成功的最佳途径。
课程内容侧重于理论、数据和分析，同时对重要定理和有效性测试进行三角测量，以确保稳健的结果和可重复的分析。从今天开始学习，共创美好未来！
本课程适用于：希望从头到尾进行统计分析的本科生/研究生/学者/管理人员任何认真对待涉及统计分析的工作的初学者对从理论到完整分析的正确统计分析应用感兴趣的初学者
Created by Lavinia Bleoca | Last updated 7/2021
Duration: 5h 16m | 5 sections | 29 lectures | Video: 1280×720, 44 KHz | 2.8 GB
Genre: eLearning | Language: English + Sub

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

What you’ll 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

Requirements
Interest in thoroughly learning statistical concepts and applying them hands-on in analysesAccess to a computer if you want to code along
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!
Who this course is for:Undergraduate/graduate/academic scholars/managers who wish to perform a statistical analysis from beginning to endAnyone who is serious about a job involving statistical analysesBeginner-level students interested in the correct appliances of statistical analyses from theory to completed analysis