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.
Ce cours fait partie de la Spécialisation Certificat professionnel en science des données IBM
Applied Data Science Capstone
proposé par
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
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 vidéos (Total 6 min), 1 lecture, 1 quiz
1 lecture
Syllabus10 min
Semaine
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 vidéos (Total 22 min), 2 quiz
5 vidéos
Signing up for a Foursquare Developer Account5 min
Foursquare - Search6 min
Foursquare - Explore and Other Queries2 min
Foursquare - Summary1 min
1 exercice pour s'entraîner
Foursquare API10 min
Semaine
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 vidéos (Total 11 min), 3 quiz
Semaine
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 quiz
4.7
44 avis40%
a commencé une nouvelle carrière après avoir terminé ces cours
33%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
Meilleurs avis
par GM•Sep 27th 2018
The most interesting course from IBM ML courses scope. Due to tons of practice and interesting labs. Thanks, Alex.
par 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.
Enseignant
Alex Aklson
Ph.D., Data ScientistIBM Developer Skills Network
À propos de 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.
À propos de la Spécialisation Certificat professionnel en science des données IBM
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.
À quoi ai-je droit si je m'abonne à ce Certificat ?
Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours du Certificat, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.
Quelle est la politique de remboursement ?
D'autres questions ? Visitez le Centre d'Aide pour les Etudiants.
Coursera propose un accès universel à la meilleure formation au monde,
en partenariat avec des universités et des organisations du plus haut niveau, pour proposer des cours en ligne.
© 2019 Coursera Inc. Tous droits réservés.
