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. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

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 Developer Skills Network

Informations de base	Cours 9 de 9 dans IBM Data Science Professional Certificate Specialization
Niveau	Intermédiaire
Engagement	5 weeks of study, 6-7 hours/week
Langue	Anglais
Comment réussir	Réussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs	4.7 étoiles Note moyenne des utilisateurs 4.7Voir ce que disent les étudiants

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 be required to submit a link to a new repository on your Github account dedicated to this course.

2 vidéos, 1 lecture

Reading: Syllabus
Vidéo: Location Data Providers

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 convert 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)

FAQ

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Comment cela fonctionne

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.

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

Notation et examens

Note moyenne 4.7 sur 5 sur 120 notes

The final capstone really has you use all things from all Nine courses.... Great Challenge

Must take to complete this wonderful specialization.

You will have a change to apply everything you learned. And you have the freedom to choose the topic that you are interested in.

After this course, you will have a report, a blogpost and a notebook with complete code. With which you can showcase your achievement along the certificate.