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Analysis of Algorithms

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings.

Created by Princeton University


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What you’ll learn


Through this educational resource you can acquire the compentencies demanded from employers today. The most relevant technique within the learning opportunity that is frequently requested from organizations is Data Analysis.

Who will benefit?


Contrasting material from this learning opportunity with nearly 10,000 data-related job maps, we find that those interested in Data Scientist roles would benefit the most.