課程信息
4.7
117 個評分
13 個審閱
專項課程

第 9 門課程(共 9 門),位於

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立即開始,按照自己的計劃學習。
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中級

中級

完成時間(小時)

完成時間大約為10 小時

建議:5 weeks of study, 6-7 hours/week...
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英語(English)

字幕:英語(English)...
專項課程

第 9 門課程(共 9 門),位於

100% online

100% online

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10 小時

建議:5 weeks of study, 6-7 hours/week...
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(共 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(共 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(共 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 50 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
13 個審閱Chevron Right

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 ASOct 22nd 2018

Excellent Course for students looking for advanced and practical knowledge of data science

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

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