- IBM via Coursera
- Learn for FREE, Up-gradable
- 47 hours of effort required
- 66,014+ already enrolled!
- 4.7 ★★★★★ (4,964 Ratings)
- Skill Level: Intermediate
- Language: English
This Applied Data Science 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 panda’s library to manipulate data, which will help you refine your skills for exploring and analyzing data.
Finally, you will be required to use the Folium library to create maps of geospatial data and to communicate your results and findings.
If you choose to take this Applied Data Science Capstone 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.
This course is part of multiple programs
This Applied Data Science Capstone course can be applied to multiple Specializations or Professional Certificates programs.
Completing this Applied Data Science course will count towards your learning in any of the following programs:
- IBM Data Science Professional Certificate
- Applied Data Science Specialization
WEEK 1: Introduction
- 1 hour to complete
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 Applied Data Science course.
WEEK 2: Foursquare API
- 2 hours to complete
In this module, you will learn in detail 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.
WEEK 3: Neighborhood Segmentation and Clustering
- 13 hours to complete
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 data frame.
WEEK 4: The Battle of Neighborhoods
- 10 hours to complete
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 used to solve the problem.
WEEK 5: The Battle of Neighborhoods (Cont’d)
- 20 hours to complete
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.
More Related Courses:
Trinity College via edX
6 Weeks of effort required
Skill Level: Introductory
Duke University via Coursera
25 hours of effort required
131,528 students enrolled!
★★★★★ (2,269 Ratings)
This Course is Part of Excel to MySQL: Analytic Techniques for Business Specialization
University of California Davis via Coursera
72 hours of effort required
42,683 students enrolled!
★★★★★ (7,177 Ratings)
This Course is Part of Data Visualization with Tableau Specialization
There are no reviews yet. Be the first one to write one.