Applied Statistical Modeling for Data Analysis in R

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课程主页: https://www.udemy.com/course/applied-statistical-modeling-for-data-analysis-in-r/

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课程名称:应用统计建模与R的数据分析 课程概述:这门课程旨在为学习者提供统计数据分析和可视化的全面指南,特别是在R语言环境下进行实用应用。主讲者Minerva Singh,拥有牛津大学地理与环境的硕士学位和剑桥大学热带生态与保护的博士学位,具有多年处理真实数据和进行统计建模的经验。 如果你觉得传统统计书籍过于抽象、昂贵且不实用,那么这门课将非常适合你!课程内容包括9.5小时的讲座,帮助学习者从基础到高级的统计建模技能,掌握在R中进行实际数据分析的能力。通过这门课程,你将: 1. 即使没有任何统计建模/分析背景,也能够从基础知识逐步学习,最终完成一些常见的高级数据分析任务。 2. 学会使用R进行各种统计数据分析和可视化任务。 3. 以实用的方式介绍一些重要的统计概念,并应用于实际数据分析及结果解读。 4. 学习从概率分布到假设检验、回归建模和多变量分析等主要统计建模概念。 5. 能够判断哪种统计建模技术最适合解答你的研究问题,并解释结果。 课程侧重于帮助学习者将不同的统计分析技术应用于自己的数据,并理解分析结果。每个视频后,学习者都会学到新的概念或技术,可立即应用到自己的项目中。此外,课程还提供持续的支持,确保学习者的成功。如果课程内容不满意,学习者可以在购买后30天内申请退款。 立即行动,提升你的统计分析能力,抓住这个学习机会!

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APPLIED STATISTICAL MODELING FOR DATA ANALYSIS IN RCOMPLETE GUIDE TO STATISTICAL DATA ANALYSIS & VISUALIZATION FOR PRACTICAL APPLICATIONS IN R Confounded by Confidence Intervals? Pondering Over p-values? Hankering Over Hypothesis Testing? Hello, My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).I have several years of experience in analyzing real-life data from different sources using statistical modelling and producing publications for international peer-reviewed journals. If you find statistics books & manuals too vague, expensive & not practical, then you're going to love this course!I created this course to take you by hand teach you all the concepts, and take your statistical modelling from basic to an advanced level for practical data analysis.With this course, I want to help you save time and learn what the arcane statistical concepts have to do with the actual analysis of data and the interpretation of the bespoke results. Frankly, this is the only course you need to complete in order to get a head start in practical statistical modelling for data analysis using R. My course has 9.5 hours of lectures and provides a robust foundation to carry out PRACTICAL, real-life statistical data analysis tasks in R, one of the most popular and FREE data analysis frameworks. GET ACCESS TO A COURSE THAT IS JAM-PACKED WITH TONS OF APPLICABLE INFORMATION! AND GET A FREE VIDEO COURSE IN MACHINE LEARNING AS WELL!This course is your sure-fire way of acquiring the knowledge and statistical data analysis skills that I acquired from the rigorous training I received at 2 of the best universities in the world, the perusal of numerous books and publishing statistically rich papers in renowned international journals like PLOS One.To be more specific, here's what the course will do for you: (a) It will take you (even if you have no prior statistical modelling/analysis background) from a basic level to performing some of the most common advanced statistical data analysis tasks in R. (b) It will equip you to use R for performing the different statistical data analysis and visualization tasks for data modelling. (c) It will Introduce some of the most important statistical concepts to you in a practical manner such that you can apply these concepts for practical data analysis and interpretation. (d) You will learn some of the most important statistical modelling concepts from probability distributions to hypothesis testing to regression modelling and multivariate analysis. (e) You will also be able to decide which statistical modelling techniques are best suited to answer your research questions and applicable to your data and interpret the results. The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results. After each video, you will learn a new concept or technique which you may apply to your own projects immediately! TAKE ACTION NOW:) You'll also have my continuous support when you take this course just to make sure you're successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you're not completely satisfied with the course.TAKE ACTION TODAY! I will personally support you and ensure your experience with this course is a success.

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