About this Course
4.1
21 ratings
5 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 11 hours to complete

Suggested: 6 weeks of study, 3-4 hours/week...
Available languages

English

Subtitles: English...

Skills you will gain

Python ProgrammingR ProgrammingData AnalysisData WranglingStatistics
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 11 hours to complete

Suggested: 6 weeks of study, 3-4 hours/week...
Available languages

English

Subtitles: English...

Syllabus - What you will learn from this course

Week
1
Hours to complete
25 minutes to complete

Project A: Blight Fight

In this project, you will build a model to predict when a building is likely to be condemned. The data is real, the problem is real, and the impact is real. ...
Reading
2 readings
Reading2 readings
Get the Data10m
Understand the Domain10m
Week
2
Hours to complete
2 hours to complete

Week 2: Derive a list of buildings

You are given sets of incidents with location information; you need to use some assumptions to group these incidents by location to identify specific buildings....
Reading
1 reading, 1 quiz
Reading1 reading
Milestone: Create a list of "buildings" from a list of geo-located incidents10m
Week
3
Hours to complete
2 hours to complete

Week 3: Construct a training dataset

Construct a training set by associating each of your buildings with a ground truth label derived from the permit data....
Reading
1 reading, 1 quiz
Reading1 reading
Milestone: Derive labels for each building10m
Week
4
Hours to complete
2 hours to complete

Week 4: Train and evaluate a simple model

Use a trivial feature set to train and evaluate a simple model...
Reading
1 reading, 1 quiz
Reading1 reading
Milestone: Train a Simple Model10m

Instructor

Avatar

Bill Howe

Director of Research
Scalable Data Analytics

About University of Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

About the Data Science at Scale Specialization

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project....
Data Science at Scale

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 Specialization, 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.