About this Specialization

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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.
Learner Career Outcomes
67%
Started a new career after completing this specialization.
33%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 5 months to complete
Suggested 2 hours/week
English
Learner Career Outcomes
67%
Started a new career after completing this specialization.
33%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 5 months to complete
Suggested 2 hours/week
English

There are 4 Courses in this Specialization

Course1

Course 1

Data Manipulation at Scale: Systems and Algorithms

4.3
stars
746 ratings
161 reviews
Course2

Course 2

Practical Predictive Analytics: Models and Methods

4.1
stars
301 ratings
56 reviews
Course3

Course 3

Communicating Data Science Results

3.6
stars
133 ratings
36 reviews
Course4

Course 4

Data Science at Scale - Capstone Project

4.1
stars
22 ratings
5 reviews

Offered by

Placeholder

University of Washington

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