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.
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伦敦大学
伦敦大学金匠学院
Foundations of Data Science: K-Means Clustering in Python
伦敦大学课程信息
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初级
You will need mathematical and statistical knowledge and skills at least at high-school level.
完成时间大约为29 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
您将学到的内容有
Define and explain the key concepts of data clustering
Demonstrate understanding of the key constructs and features of the Python language.
Implement in Python the principle steps of the K-means algorithm.
Design and execute a whole data clustering workflow and interpret the outputs.
您将获得的技能
- K-Means Clustering
- Machine Learning
- Programming in Python
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
初级
You will need mathematical and statistical knowledge and skills at least at high-school level.
完成时间大约为29 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 意大利语, 越南语, 德语（German）, 俄语（Russian）, 英语（English）, 西班牙语（Spanish）
提供方
伦敦大学
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
伦敦大学金匠学院
Championing research-rich degrees that provoke thought, stretch the imagination and tap into tomorrow’s world, at Goldsmiths we’re asking the questions that matter now in subjects as diverse as the arts and humanities, social sciences, cultural studies, computing, and entrepreneurial business and management. We are a community defined by its people: innovative in spirit, analytical in approach and open to all.
授课大纲 - 您将从这门课程中学到什么
完成时间为 7 小时
Week 1: Foundations of Data Science: K-Means Clustering in Python
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.
完成时间为 7 小时
9 个视频 （总计 22 分钟）
完成时间为 4 小时
Week 2: Means and Deviations in Mathematics and Python
完成时间为 4 小时
11 个视频 （总计 37 分钟）, 4 个阅读材料, 11 个测验
完成时间为 8 小时
Week 3: Moving from One to Two Dimensional Data
完成时间为 8 小时
16 个视频 （总计 53 分钟）, 10 个阅读材料, 15 个测验
完成时间为 4 小时
Week 4: Introducing Pandas and Using K-Means to Analyse Data
完成时间为 4 小时
8 个视频 （总计 37 分钟）, 6 个阅读材料, 8 个测验
审阅
- 5 stars72.62%
- 4 stars21.55%
- 3 stars3.66%
- 2 stars1.29%
- 1 star0.86%
来自FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON的热门评论
由 BO 提供Jul 3, 2020
Highly recommended to anyone who wants to delve into data science. The instruuctors, the universities and Coursera team are well dedicated and the course is of high quality.
由 AA 提供Jun 3, 2019
This course is at right level for a beginner (python and analytics) while going into details around K means clustering
由 PN 提供Jul 20, 2020
It's a good introductory course that actually makes you start thinking about the subject of data science.
由 MP 提供Sep 12, 2020
It was a well-taught course. I felt that during the final project-making, students were not spoon-fed, instead, pushed us to become more creative.
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