課程信息
4.7
269 個評分
35 個審閱
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為11 小時

建議:5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
可選語言

英語(English)

字幕:英語(English)
專項課程
100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
中級

中級

完成時間(小時)

完成時間大約為11 小時

建議:5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
可選語言

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 1 小時

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 個視頻 (總計 6 分鐘), 1 個閱讀材料, 1 個測驗
Video2 個視頻
Location Data Providers3分鐘
Reading1 個閱讀材料
Syllabus10分鐘
2
完成時間(小時)
完成時間為 2 小時

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 個視頻 (總計 22 分鐘), 2 個測驗
Video5 個視頻
Signing up for a Foursquare Developer Account5分鐘
Foursquare - Search6分鐘
Foursquare - Explore and Other Queries2分鐘
Foursquare - Summary1分鐘
Quiz1 個練習
Foursquare API10分鐘
3
完成時間(小時)
完成時間為 13 小時

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 個視頻 (總計 11 分鐘), 3 個測驗
Video2 個視頻
k-means Clustering9分鐘
4
完成時間(小時)
完成時間為 10 小時

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 個測驗
4.7
35 個審閱Chevron Right
職業方向

40%

完成這些課程後已開始新的職業生涯
工作福利

33%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 GMSep 27th 2018

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

創建者 SKNov 23rd 2018

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

講師

Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

關於 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....

關於 IBM Data Science Professional Certificate 專項課程

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

常見問題

  • 注册以便获得证书后,您将有权访问所有视频、测验和编程作业(如果适用)。只有在您的班次开课之后,才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程,可能无法访问某些作业。

  • 您注册课程后,将有权访问证书中的所有课程,并且会在完成作业后获得证书。您的电子证书将添加到您的成就页中,您可以通过该页打印证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

還有其他問題嗎?請訪問 學生幫助中心