Об этом курсе: This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you help you refine your skills for exploring and analyzing data. Finally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

Для кого этот курс: Anyone interested in data science, and has completed all of the other courses in this specialization: 1. Python for Data Science 2. Data Visualization with Python 3. Data Analysis with Python

Автор: IBM

Преподаватели: Alex Aklson, Ph.D., Data Scientist
IBM Developer Skills Network

Основные сведения	Курс 9 из 9 — IBM Data Science Professional Certificate Specialization
Уровень	Учащийся среднего уровня
Выполнение	5 weeks of study, 6-7 hours/week
Язык	English
Как пройти курс	Чтобы пройти курс, выполните все оцениваемые задания.
Оценки пользователей	4.7 звезды Средняя оценка пользователей: 4.7Посмотрите, что пишут учащиеся

Программа курса

НЕДЕЛЯ 1

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.

2 видео, 1 материал для самостоятельного изучения

Reading: Syllabus
Видео: Location Data Providers

Оцениваемый: Capstone Project Notebook

НЕДЕЛЯ 2

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.

5 видео

Видео: Signing up for a Foursquare Developer Account
Видео: Foursquare - Search
Видео: Foursquare - Explore and Other Queries
Видео: Foursquare - Summary
LTI Item: Foursquare API

Оцениваемый: Foursquare API

НЕДЕЛЯ 3

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.

2 видео

Видео: k-means Clustering
LTI Item: k-means Clustering
LTI Item: Segmenting and Clustering Neighborhoods in New York City

Оцениваемый: Segmenting and Clustering Neighborhoods in Toronto

НЕДЕЛЯ 4

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.

Оцениваемый: Capstone Project - The Battle of Neighborhoods (Week 1)

НЕДЕЛЯ 5

The Battle of Neighborhoods (Cont'd)

In this module, you will carry out all the remaining work to complete your capstone project. You will submit a report of your project for peer evaluation.

1 материал для самостоятельного изучения

Reading: IBM Digital Badge

Оцениваемый: Capstone Project - The Battle of Neighborhoods (Week 2)

Часто задаваемые вопросы

Когда я получу доступ к лекциям и заданиям?

Что делать, если мне потребуется больше времени на прохождение курса?

Что я получу, оплатив этот курс?

Могу я пройти этот курс бесплатно?

Какие правила возврата средств?

Можно ли получить финансовую помощь?

Как это работает

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Авторы

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.

Стоимость

	Приобрести курс
Получить доступ к материалам курса	Доступен
Получить доступ к оцениваемым материалам курса	Доступен
Получить итоговую оценку	Доступен
Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми	Доступен