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University of Colorado Boulder - Data Science Foundations: Data Structures and Algorithms Specialization 

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Data Science Foundations: Data Structures and Algorithms Specialization
 at 
Coursera 
Overview

Duration

3 months

Total fee

Free

Mode of learning

Online

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Data Science Foundations: Data Structures and Algorithms Specialization
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Data Science Foundations: Data Structures and Algorithms Specialization
 at 
Coursera 
Highlights

  • Earn a certificate upon completion
    from Coursera
  • The courses in this specialization can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera
Details Icon

Data Science Foundations: Data Structures and Algorithms Specialization
 at 
Coursera 
Course details

More about this course
  • Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing
  • This course will teach the fundamentals of data structures and algorithms with a focus on data science applications
  • This specialization is targeted towards learners who are broadly interested in programming applications that process large amounts of data , and are familiar with the basics of programming in python
  • Students will learn about various data structures including arrays, hash-tables, heaps, trees and graphs along with algorithms including sorting, searching, traversal and shortest path algorithms
  • The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others
Read more

Data Science Foundations: Data Structures and Algorithms Specialization
 at 
Coursera 
Curriculum

Algorithms for Searching, Sorting, and Indexing

Trees and Graphs: Basics

Dynamic Programming, Greedy Algorithms

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Data Science Foundations: Data Structures and Algorithms Specialization
 at 
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