|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-science-k-means-clustering-python
课程评论：没有评论
课程名称：数据科学基础：Python中的K均值聚类 课程概述： 如今，全球各组织利用数据来预测行为并提取有价值的现实世界洞察，以帮助决策。管理和分析大数据已成为现代金融、零售、营销、社会科学、发展与研究、医学和政府等领域的必备技能。此线上课程由伦敦大学金史密斯学院的学术团队设计，旨在快速介绍数据科学的核心概念，为学习更高级的数据科学课程做好准备。课程重点讲解进行数据分析所需的基本数学、统计学和编程技能。 课程中将通过一个数据聚类任务考虑这些基本概念，并使用此例子学习掌握数据科学技术所必需的基本编程技能。在课程期间，您将完成一系列数学和编程练习，并针对给定数据集进行一个小型数据聚类项目。 课程大纲： - 第1周：数据科学基础：Python中的K均值聚类 该周将介绍课程内容及指导团队，旨在通过一些真实世界的数据科学应用示例来温和引导你进入数据科学的概念，并强调相关的主要概念。 - 第2周：数学和Python中的均值与偏差 本周内容将进一步深入数学基础。 - 第3周：从一维数据到二维数据的迁移 本周将探讨如何处理不同维度的数据。 - 第4周：引入Pandas和使用K均值进行数据分析 本周将学习使用Pandas库进行数据处理和分析。 - 第5周：数据聚类项目 本周将集中完成一个实际的数据聚类项目。 该课程适合希望掌握数据分析基本技能的初学者，提供了丰富的实践与理论知识，助力未来在数据科学领域的进一步学习和应用。
Name:Week 1: Foundations of Data Science: K-Means Clustering in Python
Description:This week we will introduce you to the course and to the team who will be guiding you through the course over the next 5 weeks. The aim of this week's material is to gently introduce you to Data Science through some real-world examples of where Data Science is used, and also by highlighting some of the main concepts involved.
Name:Week 2: Means and Deviations in Mathematics and Python
Description:
Name:Week 3: Moving from One to Two Dimensional Data
Description:
Name:Week 4: Introducing Pandas and Using K-Means to Analyse Data
Description:
Name:Week 5: A Data Clustering Project
Description:
Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses. It focuses on the basic mathematics, statistics and programming skills that are necessary for typical data analysis tasks. You will consider these fundamental concepts on an example data clustering task, and you will use this example to learn basic programming skills that are necessary for mastering Data Science techniques. During the course, you will be asked to do a series of mathematical and programming exercises and a small data clustering project for a given dataset.
