À propos de ce cours : 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. You'll need to pass several end-of-section quizzes and a final exam that include multiple choice, true and false, and fill in the blank questions.
Les destinataires de ce cours : 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
Créé par : IBM
Enseigné par : Alex Aklson, Ph.D., Data Scientist
IBM Cognitive Class
| Informations de base | Cours 4 de 4 dans Applied Data Science Specialization |
| Niveau | Intermédiaire |
| Engagement | 5 weeks of study, 6-7 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
Programme de cours
SEMAINE 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 also learn how to create an account on Watson Studio, how to create a project and start a Jupyter Notebook, and the two different ways of sharing a notebook.
4 vidéos, 1 lecture
- Reading: Syllabus
- Vidéo: Location Data Providers
- Vidéo: Creating a Watson Studio Account
- Vidéo: The Jupyter Notebook on Watson Studio
Noté: Capstone Project Notebook
SEMAINE 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 vidéos
- Vidéo: Signing up for a Foursquare Developer Account
- Vidéo: Foursquare - Search
- Vidéo: Foursquare - Explore and Other Queries
- Vidéo: Foursquare - Summary
- LTI Item: Foursquare API
Noté: Foursquare API
SEMAINE 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 covert data into a pandas dataframe.
2 vidéos
- Vidéo: k-means Clustering
- LTI Item: k-means Clustering
- LTI Item: Segmenting and Clustering Neighborhoods in New York City
Noté: Segmenting and Clustering Neighborhoods in Toronto
SEMAINE 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.
Noté: Capstone Project - The Battle of Neighborhoods (Week 1)
SEMAINE 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 lecture
- Reading: IBM Digital Badge
Noté: Capstone Project - The Battle of Neighborhoods (Week 2)
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Créateurs
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.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
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