About this Course
4.7
269 ratings
35 reviews
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 11 hours to complete

Suggested: 5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
Available languages

English

Subtitles: English
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 11 hours to complete

Suggested: 5 weeks of study, approximately 45 hours in total (10-15 hours/week for the later modules)...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

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....
Reading
2 videos (Total 6 min), 1 reading, 1 quiz
Video2 videos
Location Data Providers3m
Reading1 reading
Syllabus10m
Week
2
Hours to complete
2 hours to complete

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....
Reading
5 videos (Total 22 min), 2 quizzes
Video5 videos
Signing up for a Foursquare Developer Account5m
Foursquare - Search6m
Foursquare - Explore and Other Queries2m
Foursquare - Summary1m
Quiz1 practice exercise
Foursquare API10m
Week
3
Hours to complete
13 hours to complete

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....
Reading
2 videos (Total 11 min), 3 quizzes
Video2 videos
k-means Clustering9m
Week
4
Hours to complete
10 hours to complete

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....
Reading
1 quiz
4.7
35 ReviewsChevron Right
Career direction

40%

started a new career after completing these courses
Career Benefit

33%

got a tangible career benefit from this course

Top Reviews

By GMSep 27th 2018

The most interesting course from IBM ML courses scope. Due to tons of practice and interesting labs. Thanks, Alex.

By SKNov 23rd 2018

Enjoyed doing independent assignment. I had to hunt for data prepare the csv file to be used and lot of research.

Instructor

Avatar

Alex Aklson

Ph.D., Data Scientist
IBM Developer Skills Network

About 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....

About the IBM Data Science Professional Certificate Specialization

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....
IBM Data Science Professional Certificate

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.