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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/codio-data-analysis-in-python-with-pandas-and-matplotlib-in-spyder
课程评论：没有评论
课程名称：使用pandas和matplotlib在Spyder中进行Python数据分析 课程概述：在几分钟内编写并运行您的第一个Python脚本，无需安装任何软件！该课程专为没有编码经验的学习者设计，提供了一门Python速成课程，使学习者能够深入掌握核心数据分析主题，并将其迁移到其他编程语言中。在课程中，您将学习如何导入和组织数据，使用函数收集描述性统计数据以及进行统计测试。 为了提供真正动手操作的自定进度学习体验，本课程不包含视频内容。作业包括简短的解释、图片和可运行的代码示例，以及建议的编辑，以进一步探索代码示例，深入理解。您将在课程中获得多种评估项目的即时反馈，从快速理解检查（选择题、填空和解码块）逐步过渡到小型易于上手的编码练习，这些练习只需几分钟而不是几个小时。最后，课程结束时的长格式实验室将为您提供一个机会，以真实世界的背景应用已学到的所有概念。 课程大纲： 1. 描述数值数据集 2. 导入和描述混合数据集（pandas） 3. 确定不同人群的统计测试 4. 描述关系的统计测试 5. Python数据分析实验室
Name:Describing a Numerical Data Set
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Name:Importing and Describing Mixed Data Sets (pandas)
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Name:Statistical Tests to Determine if Populations are Different
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Name:Statistical Tests to Describe Relationships
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Name:Python Data Analysis Lab
Description:
Code and run your first Python script in minutes without installing anything! This course is designed for learners with no coding experience, providing a crash course in Python, which enables the learners to delve into core data analysis topics that can be transferred to other languages. In this course, you will learn how to import and organize your data, use functions to gather descriptive statistics, and perform statistical tests. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a longer-form lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.
