|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/nelsons-statistics/
课程评论：没有评论
课程名称：Nelson博士的统计学第一学期及更远 课程概述：该课程的主要目标是为研究生和博士生准备与定量社会科学研究相关的概念和方法。具体来说，课程中的示例旨在为学生准备进行关于教育问题的原创研究。示例来自于基础教育、中等教育和高等教育的不同背景。此外，本课程还旨在帮助学生作为精明的讨论者和定量研究的消费者成长。在课程中，学生将有机会提高批判性推理和分析能力。 尽管本课程并没有提供对整个统计学领域的全面介绍，但它提供了一个深入的概述，涵盖通常在研究生第一学期教授的主题和技术。我们将统计学视为一种工具，帮助研究人员审视世界，探讨研究和统计如何帮助我们生成和传播关于世界运作的新知识。这里的“世界运作”涵盖了诸如“人们如何行为”、“组织如何对政策做出反应”、“如何在组织管理中做出数据驱动的决策”、“如何评估项目绩效”等子主题。 本课程还提供多种格式的示例，重点包括以下工具集： 1) 笔和纸：能够使用简单工具如笔、纸、图表纸和计算器执行基本统计分析是重要的。 2) Stata：该软件是教育和社会科学研究中广泛使用的统计计算软件包。课程中主要使用Stata展示大部分示例。 3) Python：Python是一种自由平台的编程语言，本课程通过Python展示如何执行许多教学中涉及的统计技术，学生也将在课程中学习Python的基础知识。 4) 电子表格：如Microsoft Excel、Google Sheets和Apple的Numbers等电子表格是热门且广泛可用的工具，课程中将使用电子表格展示教学中的许多统计技术。 课程将展示每种统计技术在多个平台中的应用。通过多次反复展示和呈现每个统计技术，课程提供了多次并彻底的机会，以便学生了解如何执行这些技术。这种重复的方法旨在确保学生能够以多种相关的方式接触到核心概念，从而促进学习的记忆与理解。
The principal aim of this course is to prepare graduate and doctoral students to use the concepts and methods associated with quantitative social science research. In specific, the examples used in this course aim to prepare students as they may seek to conduct original research on education issues. Examples draw from primary, secondary, and post-secondary education contexts.A related aim is to help students grow as savvy discussants and consumers of quantitative research. In this course students will have opportunities to build thier critical reasoning and analytical skills. Though this course does not provide an exhaustive introduction to the entire field of statistics, it provides a thorough overview of topics and techniques often taught in first semester graduate statistics.In this course we will view statistics as a set of tools that helps researchers examine the world. We will look closely at how research and statistics helps us produce and disseminate new knowledge about how the world works. "How the world works" is a broad phrase meant to include sub-topics such as "how people behave," "how organizations react to policy," "how we can make data informed decisions about organizational management," "how we can evaluate program performance."This course also provides examples in multiple formats. There is an emphasis on the following tool sets:1) Pen or pencil and paper - It is important to have an ability to execute rudimentary statistical analyses using simple tools such as a pen, pencil, paper, graph paper, and a calculator.2) Stata - This software is a widely used statistical computing package in education and social science research. Besides presenting examples in multiple platforms side-by-side, this course presents most examples in Stata. Through this course, students will also learn to use this popular statistical computing package.3) Python - The Python programming language is a free platform that provides an opportunity to show how we can execute many of the statistical techniques taught through this course. This course presents many examples using the Python programming language. Thus, through this course, students will also learn the rudiments of Python as a programming language.4) Spreadsheets - Spreadsheets (such as, Microsoft Excel, Google Sheets, Apple's Numbers, and others) are a popular, widely available tool, that provide convenient platforms in which we can easily show many of the statistical techniques taught through this course. This course uses a spreadsheet platform to show many of the statistical techniques taught through this course.In most cases, this course will show each statistical technique in many of the above tool sets. By presenting and (re)presenting - multiple times - each statistical technique again-and-again in multiple platforms, this course provides multiple and thorough opportunities to see how to execute the techniques. This repetitive approach serves to ensure that students gain exposure to the core concepts in multiple and related ways. This repetitive approach is intentional and it aims to promote learning retention.
