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.
Этот курс входит в специализацию ''Специализация IBM Data Science Professional Certificate'
Applied Data Science Capstone
от партнера
Программа курса: что вы изучите
Неделя
1Introduction
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 ((всего 6 мин.)), 1 материал для самостоятельного изучения, 1 тест
1 материал для самостоятельного изучения
Syllabus10мин
Неделя
2Foursquare 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 ((всего 22 мин.)), 2 тестов
5 видео
Signing up for a Foursquare Developer Account5мин
Foursquare - Search6мин
Foursquare - Explore and Other Queries2мин
Foursquare - Summary1мин
1 практическое упражнение
Foursquare API10мин
Неделя
3Neighborhood 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 ((всего 11 мин.)), 3 тестов
Неделя
4The 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.
1 тест
4.7
Рецензии: 3540%
начал новую карьеру, пройдя эти курсы
33%
получил значимые преимущества в карьере благодаря этому курсу
Лучшие рецензии
автор: GM•Sep 27th 2018
The most interesting course from IBM ML courses scope. Due to tons of practice and interesting labs. Thanks, Alex.
автор: SK•Nov 23rd 2018
Enjoyed doing independent assignment. I had to hunt for data prepare the csv file to be used and lot of research.
Преподаватель
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
О 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.
О специализации ''IBM Data Science Professional Certificate'
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.
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