About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 3 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean

Skills you will gain

Python ProgrammingR ProgrammingMapreduceSQL

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 3 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 4 Courses in this Specialization

Course1

Data Manipulation at Scale: Systems and Algorithms

4.3
686 ratings
148 reviews
Course2

Practical Predictive Analytics: Models and Methods

4.1
289 ratings
55 reviews
Course3

Communicating Data Science Results

3.6
127 ratings
36 reviews
Course4

Data Science at Scale - Capstone Project

4.1
21 ratings
5 reviews

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....

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 5 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will have experience working independently on data science challenges, analyzing real data sources on and off the web, potentially at terabyte-scale. You will be poised to pursue deeper technical study in software systems, scalable algorithms, statistics, machine learning, and visualization.

  • Learners will need intermediate programming experience (roughly equivalent to two college courses) and some familiarity with databases. Programming assignments throughout the Specialization will use a combination of Python, SQL, Scala, R, and Javascript; familiarity with one or more of these languages will be helpful.

More questions? Visit the Learner Help Center.