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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-visualization
课程评论：没有评论
课程名称：数据管理与可视化 课程概述： 在当今数据驱动的时代，数据已成为成功的重要组成部分，无论是为了量身定制广告还是简化小型餐厅的库存订购。很多时候，我们并不知道如何利用数据来找到那些能够推动我们成功的答案。在本课程中，您将了解到数据的基本概念，并思考有哪些问题可以通过数据来解答，即使您以前从未考虑过数据。您将学习如何基于现有数据制定研究问题，描述变量及其关系，计算基本统计数据，并清晰地呈现您的结果。课程结束时，您将能够使用强大的数据分析工具（如SAS或Python）来管理和可视化您的数据，包括如何处理缺失数据、变量分组和图形展示。课程中的分享环节将帮助您获得宝贵的反馈，同时了解同伴如何使用数据解答他们的问题。 课程大纲： 1. **选择研究问题**： 欢迎来到韦斯利大学的数据分析与解释专业。本节我们将讨论数据分析的基础知识。您的任务是选择一个数据集进行研究，并查看现有的代码书，以帮助您制定自己的研究问题。同时，您将创建一个Tumblr博客，以反思您的经历、提交作业并与他人共享您的作品。 2. **编写您的第一个程序 - SAS或Python**： 本节我们将讨论如何编写一个基本程序，以加载数据集并检查频率分布。您需要编写一个程序，帮助您探索为自己的研究问题选择的变量。您可以选择使用Python或SAS，所有资源均可免费获取，我们提供了一份有用的指南来支持您的选择。 3. **数据管理**： 本节将帮助您更有效地做出数据决策。统计学家通常称这个过程为“数据管理”，而计算机科学家则称之为“数据处理”。无论您如何称呼它，这都是处理数据时一个至关重要的和持续的过程。您的任务是写一个程序来管理您为自己的研究问题选择的变量。 4. **补充材料（所有周次）**： 本节提供课程的补充学习资源，帮助学生深入理解和消化课程内容。
Part: 1
Title:Selecting a research question
Description:We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video
Part: 2
Title:Writing your first program - SAS or Python
Description:In this session, we will discuss how to write a basic program that allows you to load a data set and examine frequency distributions. Your task will be to write a program that helps you to explore the variables you have selected for your own research question. You may choose either Python or SAS. Both are made freely available, and we have created a helpful guide to support you in making the decision. Once you have selected your platform, just follow the instructions in the appropriate "GETTING STARTED...." file, and then check out this week's video lessons aimed at helping you write and run your first program. You need only view the lessons for one of the statistical platforms (SAS or Python).
Part: 3
Title:Managing Data
Description:In this session, we will help you to make and implement even more decisions with data. Statisticians often call this task 'data management', while computer scientists like the term 'data munging'. Whatever you call it, it is a vital and ongoing process when working with data. Your task will be to write a program that manages the variables you have selected for your own research question.
Part: 4
Title:Supplemental Materials (All Weeks)
Description:
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
