|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/basic-data-processing-visualization-python
课程评论：没有评论
课程名称：基础数据处理与可视化 课程概述：这是Coursera上“预测分析的Python数据产品”四门课程专业中的第一门，介绍了在Python中读取和操作数据集的基本知识。在本课程中，您将学习什么是数据产品，并通过多个Python库进行数据检索、处理和可视化。该课程将带您进入数据科学领域，并为接下来的三门专业课程做准备，包括：数据产品的设计思维与预测分析、有意义的预测建模以及机器学习模型的部署。在整个专业的每个阶段，您将获得数据处理的实践经验，逐步提升自己的技能，并最终完成一个涵盖所有概念的综合项目。 课程大纲： - 第一周：数据产品简介 - 本周，我们将介绍课程大纲，准备课程材料和软件。我们将引入数据产品，并复习Python和Jupyter笔记本的基础知识。 - 第二周：在Python中读取数据 - 本周，我们将学习如何从CSV和JSON文件中加载数据集。我们还将练习使用基本的Python命令来操作这些数据集中的数据。 - 第三周：在Python中处理数据 - 本周的目标是了解如何在分析之前清理数据集。我们将学习如何处理不同类型的数据，如字符串和日期。 - 第四周：Python库和工具包 - 在最后一周，我们将了解Python中常见的库及其用法。我们将涵盖使用numpy和MatPlotLib进行数据可视化，并介绍使用urllib和BeautifulSoup进行基本的网页抓取。 - 最终项目： - 创建自己的Jupyter笔记本，使用您选择的数据集进行数据操作。在这个项目中展示您所学的技能和所掌握的库。希望您喜欢本课程，并祝您未来学习成功！
Name:Week 1: Introduction to Data Products
Description:This week, we will go over the syllabus and set you up with the course materials and software. We will introduce you to data products and refresh your memory on Python and Jupyter notebooks.
Name:Week 2: Reading Data in Python
Description:This week, we will learn how to load in datasets from CSV and JSON files. We will also practice manipulating data from these datasets with basic Python commands.
Name:Week 3: Data Processing in Python
Description:This week, our goal is to understand how to clean up a dataset before analyzing it. We will go over how to work with different types of data, such as strings and dates.
Name:Week 4: Python Libraries and Toolkits
Description:In this last week, we will get a sense of common libraries in Python and how they can be useful. We will cover data visualization with numpy and MatPlotLib, and also introduce you to the basics of webscraping with urllib and BeautifulSoup.
Name:Final Project
Description:Create your own Jupyter notebook with a dataset of your own choosing and practice data manipulation. Show off the skills you've learned and the libraries you know about in this project. We hope you enjoyed the course, and best of luck in your future learning!
This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. This course will introduce you to the field of data science and prepare you for the next three courses in the Specialization: Design Thinking and Predictive Analytics for Data Products, Meaningful Predictive Modeling, and Deploying Machine Learning Models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
