课程信息
4.7
289 个评分
36 个审阅
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为11 小时

建议:5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
可选语言

英语(English)

字幕:英语(English)
专项课程
100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
中级

中级

完成时间(小时)

完成时间大约为11 小时

建议:5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
可选语言

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 1 小时

Introduction

In this module, you will learn about the scope of this capstone course and the context of the project that you will be working on. You will learn about different location data providers and what location data is normally composed of. Finally, you will be required to submit a link to a new repository on your Github account dedicated to this course....
Reading
2 个视频 (总计 6 分钟), 1 个阅读材料, 1 个测验
Video2 个视频
Location Data Providers3分钟
Reading1 个阅读材料
Syllabus10分钟
2
完成时间(小时)
完成时间为 2 小时

Foursquare API

In this module, you will learn in details about Foursquare, which is the location data provider we will be using in this course, and its API. Essentially, you will learn how to create a Foursquare developer account, and use your credentials to search for nearby venues of a specific type, explore a particular venue, and search for trending venues around a location....
Reading
5 个视频 (总计 22 分钟), 2 个测验
Video5 个视频
Signing up for a Foursquare Developer Account5分钟
Foursquare - Search6分钟
Foursquare - Explore and Other Queries2分钟
Foursquare - Summary1分钟
Quiz1 个练习
Foursquare API10分钟
3
完成时间(小时)
完成时间为 13 小时

Neighborhood Segmentation and Clustering

In this module, you will learn about k-means clustering, which is a form of unsupervised learning. Then you will use clustering and the Foursquare API to segment and cluster the neighborhoods in the city of New York. Furthermore, you will learn how to scrape website and parse HTML code using the Python package Beautifulsoup, and convert data into a pandas dataframe....
Reading
2 个视频 (总计 11 分钟), 3 个测验
Video2 个视频
k-means Clustering9分钟
4
完成时间(小时)
完成时间为 10 小时

The Battle of Neighborhoods

In this module, you will start working on the capstone project. You will clearly define a problem and discuss the data that you will be using to solve the problem....
Reading
1 个测验
4.7
36 个审阅Chevron Right
职业方向

40%

完成这些课程后已开始新的职业生涯
工作福利

33%

通过此课程获得实实在在的工作福利

热门审阅

创建者 GMSep 27th 2018

The most interesting course from IBM ML courses scope. Due to tons of practice and interesting labs. Thanks, Alex.

创建者 SKNov 23rd 2018

Enjoyed doing independent assignment. I had to hunt for data prepare the csv file to be used and lot of research.

讲师

Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

关于 IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

关于 IBM Data Science Professional Certificate 专项课程

Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....
IBM Data Science Professional Certificate

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