Об этом курсе: 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.
Для кого этот курс: 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
Преподаватели: Alex Aklson, Ph.D., Data Scientist
IBM Developer Skills Network
| Основные сведения | Курс 9 из 9 — IBM Data Science Professional Certificate Specialization |
| Уровень | Учащийся среднего уровня |
| Выполнение | 5 weeks of study, 6-7 hours/week |
| Язык | Английский |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
- Reading: Syllabus
- Видео: Location Data Providers
- Видео: Signing up for a Foursquare Developer Account
- Видео: Foursquare - Search
- Видео: Foursquare - Explore and Other Queries
- Видео: Foursquare - Summary
- LTI Item: Foursquare API
- Видео: k-means Clustering
- LTI Item: k-means Clustering
- LTI Item: Segmenting and Clustering Neighborhoods in New York City
- Reading: IBM Digital Badge
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Получите сертификат о прохождении курса, ссылкой на который можно делиться с другими людьми | Доступен |
The best opportunity to apply all mechanisms I learn during this specialization.
Highly recommended.
Some things were outdated and did not work properly for me.
Peer-graded assignments where one has to create a github repository is totally unnecessary.
I was not too happy with the way peer grade assignment was done and it is being used as a mechanism to grade the course. My submissions were not reviewed correctly and because of that I felt that the course duration prolonged for one more month, and I had to pay my subscription for one more month for no reason.
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.