从零开始,跟我一起看 Coursera 呀

Start with Me | Coursera - Understanding and Visualizing Data with Python week 0

Start with Me 系列又来啦,这次是跟我一起学习 Coursera 的课程呀, 最近因为疫情的原因,密歇根大学与 Coursera 联手向中国学生提供订阅课程的优惠活动,每月仅需¥7。目前有三项最受欢迎的 Python 专项课程,分别是

  • Python for Everybody

  • Python 3 Programming

  • Applied Data Science with Python

其实每个专项课程都是可以在一个月内学完的,也就是说,只要七块钱,就可以假装在密歇根大学上课,而且还能收获一沓 University of Michigan 的课程证书哦。

我一共花了十四块钱订阅了 Python 3 Programming 和 Applied Data Science with Python 。

目前我已经完成了 Python 3 Programming 五个课程的学习,这个课程相对来说比较基础,适合初学者,容易上手,除了最后一个 Python Project: pillow , tesseract , and OpenCv 让人头大,其他的内容都可以很顺利地学下去,很推荐 👍

Applied Data Science with Python 这个课程需要有一定 Python 基础,可能不太适合我这种永远在入门的同学,主要是因为我太拖延了,所以还在学 week1 , 但还是很推荐给大家 👍

关于这两个专项课程的学习分享可以等一等奥利奥的更新,说不定就能等到呢。

每天都在开新坑的奥利奥 🍪

最近申请了密歇根大学的专项课程 Statistics with Python 的助学金计划,等 15 天就可以免费学习啦,包括三个系列课程,分别是

  • Understanding and Visualizing Data with Python

  • Inferential Statistical Analysis with Python

  • Fitting Statistical Models to Data with Python

这个专项课程内容上循序渐进,可以让学习者对统计学有一个全面的认识,并使用 Python 来实践,又是一个入门的课程,我怎么一直在入门。

那今天先开始第一个课程啦 ~ Understanding and Visualizing Data with Python , 看起来应该是关于数据可视化嘛

Welcome to the Course !

Introduction

这个课程有四部分

  • week1 - Introduction to Data - 4h40m

  • week2 - Univariate Data - 4h31m

  • week3 - Multivariate Data - 5h5m

  • week4 - Populations and Samples -5h47m

Week1 Introduction to Data

week1 的内容是什么呢?

奥利奥翻译不行,那就邀请你一起来康康 Brenda Gunderson 老师说了些什么

Take a look at what is statistics, and what is data?

We'll think of statistics as a big tent discipline, having a variety of different perspectives. We're going to hear from a couple of colleagues. They're going to share their perspectives about statistics in real life.

We'll see that data are everywhere, and there is a lot of cool stuff in data today. You'll have the opportunity to share where you use data in your life.

On the programming side, we'll get an introduction to Jupyter Notebook, and some of the Python basics .

  • 什么是统计

  • 什么是数据

  • Jupyter 是什么

  • Python 基础

看图说话

Week 2 + Week 3 Univariate and Multivariate Data

week2 和 week3 分别介绍了单变量数据和多变量数据

奥利奥翻译不行,那就继续邀请你一起来康康 Brenda Gunderson 老师说了些什么

We'll start seeing what we can do with our data.

Working with our data to summarizing things graphically , and numerically .

We'll move from the univariate to the multivariate summarization methods. So you're going to be working with a lot of different data sets.

One of the data sets will be on some cartwheel data that we collected on our team members, and colleagues.

You're also going to be doing some writing, and communicating, sharing with us some results about a pizza study .

  • 数据可以做什么
  • 利用数据展现事物特征
  • 单变量 - > 多变量
  • 处理不同的数据集
    看图说话

Week4 Populations and Samples

奥利奥翻译不行,那就继续邀请你一起来康康 Brenda Gunderson 老师说了些什么

We're going to start looking at how probability sampling , and methods to allow us use the data from just a sample to draw inference about our larger populations.

Throughout the source we'll give you opportunities to do some assessment of your learning.

We'll give you some resources to be able to do some deeper dives into some of the topics, and we'll give you some hands on experiences with some web applets , and your Python tutorials .

  • 如何进行概率抽样
  • 深入研究的实践主题
看图说话

Summary

课程总体概况

课程的介绍就到这里啦,接下来和我一起开始完成week1吧 🖊