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Algorithms for Data Science

In the EN 685.621 Algorithms for Data Science course, students are taught to investigate techniques in algorithm design and analysis. Students are provided with the problem-solving skills required in data science programs. In this course, students are taught about greedy heuristics, data transformation, graph algorithms, design patterns, and greedy heuristics. Students are introduced to computational complexity, advanced data structures, big-O notation, algorithmic analysis, and complexity classes for data science in chapters. Students will learn about the following topics such as linear programming, approximation algorithms, matrix operations, computational geometry, statistical learning methods, data preprocessing methods, multi-threaded algorithms, and data analysis.

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Know about all the relevant and essential courses below in which Tutors of ExpertsMinds are providing help:

  • EN.685.652 Data Engineering Principles and Practice
  • EN.685.801 Independent Study in Data Science I
  • EN.685.648 Data Science
  • EN.685.795 Capstone Project in Data Science
  • EN.685.802 Independent Study in Data Science II
  • EN.685.652 Data Engineering Principles and Practice
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