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Data Manipulation at Scale: Systems and Algorithms

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales.

Created by University of Washington


What you’ll learn

Through this learning opportunity you will improve the skills demanded from organizations these days. The most in demand technique within the learning opportunity that is frequently requested from organizations is Data Analysis. The most in demand tool is SQL. You will also find out about Communication Skills, a trait commonly requested in job descriptions.

Who will benefit?

Evaluating content from this educational opportunity with nearly 10,000 data-related job advertisements, we determine that those in or pursuing Data Scientist roles have the most to gain.