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
伦敦大学課程信息
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立即開始，按照自己的計劃學習。
初級
You will need mathematical and statistical knowledge and skills at least at high-school level.
完成時間大約為29 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將學到的內容有
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.
您將獲得的技能
K-Means ClusteringMachine LearningProgramming in Python
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
初級
You will need mathematical and statistical knowledge and skills at least at high-school level.
完成時間大約為29 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
教學大綱 - 您將從這門課程中學到什麼
完成時間為 7 小時
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.
完成時間為 7 小時
9 個視頻 （總計 22 分鐘）
完成時間為 4 小時
Week 2: Means and Deviations in Mathematics and Python
完成時間為 4 小時
11 個視頻 （總計 37 分鐘）, 4 個閱讀材料, 11 個測驗
完成時間為 8 小時
Week 3: Moving from One to Two Dimensional Data
完成時間為 8 小時
16 個視頻 （總計 53 分鐘）, 10 個閱讀材料, 15 個測驗
完成時間為 4 小時
Week 4: Introducing Pandas and Using K-Means to Analyse Data
完成時間為 4 小時
8 個視頻 （總計 37 分鐘）, 6 個閱讀材料, 8 個測驗
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來自FOUNDATIONS OF DATA SCIENCE: K-MEANS CLUSTERING IN PYTHON的熱門評論
由 GK 提供2021年8月31日
This course has great potential for future Data Scientists and it gives a breif explination of what we are dealing in the companies by giving us real life problems and making us solve those problems.
由 AH 提供2020年6月3日
I love this course as it gives me the foundations of learning the Python coding program and relevant statistical methods that used for data analysis. It's really interesting course to attend to.
由 GR 提供2019年9月9日
184/5000 Conferences of very good quality, and the platform for practices is really useful to put the theory into practice. I recommend this course if you want to start in data science.
由 SS 提供2020年6月29日
A well presented and interesting course. It would have been good to have some more complex examples with the thinking behind them - the exploratory bit/intelligent bit of the process.
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