Data Science at Scale

$49
ENROLL NOWCourse Overview
What You'll Learn
- Learn scalable data management, evaluate big data technologies, and design effective visualizations.
- 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.
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.
Course FAQs
Is this an accredited online course?
Accreditation for 'Data Science at Scale' is determined by the provider, University of Washington. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Data Science at Scale' on the University of Washington online class platform, where you can complete your registration.





