关于此 专项课程

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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 (expertise in data science is not required), and are familiar with the basics of programming in python. We 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 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 platform. 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. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
高级
完成课程大约需要 3 个月
建议进度:9 小时/周
英语(English)
可分享的证书
完成后获得证书
100% 在线课程
立即开始,按照自己的计划学习。
灵活的计划
设置并保持灵活的截止日期。
高级
完成课程大约需要 3 个月
建议进度:9 小时/周
英语(English)

专项课程的运作方式

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此专项课程包含 3 门课程

课程1

课程 1

Algorithms for Searching, Sorting, and Indexing

4.7
42 个评分
14 条评论
课程2

课程 2

Trees and Graphs: Basics

4.8
16 个评分
5 条评论
课程3

课程 3

Dynamic Programming, Greedy Algorithms

提供方

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科罗拉多大学波德分校

立即开始攻读硕士学位

此 专项课程 隶属于 科罗拉多大学波德分校 提供的 100% 在线 Master of Science in Data Science。 如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

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