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Master of Data ScienceHSE University
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“data structures and algorithms”共返回 390 條結果

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    Data Structures and Algorithms
    HSE University
    專項課程
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    評分為 4.6(滿分 5 星)。 12775 條評論
    4.6(12,775)
    460k 名學生
    Intermediate LevelIntermediate
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    Algorithms
    Stanford University
    專項課程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    評分為 4.8(滿分 5 星)。 4856 條評論
    4.8(4,856)
    190k 名學生
    Intermediate LevelIntermediate
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    Algorithms, Part I
    Princeton University
    課程
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    評分為 4.9(滿分 5 星)。 8394 條評論
    4.9(8,394)
    800k 名學生
    Intermediate LevelIntermediate
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    Data Structures
    HSE University
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    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 4074 條評論
    4.6(4,074)
    180k 名學生
    Intermediate LevelIntermediate
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    Python for Everybody
    University of Michigan
    專項課程
    Filled StarFilled StarFilled StarFilled StarFilled Star
    評分為 4.8(滿分 5 星)。 215900 條評論
    4.8(215,900)
    2.3 分鐘 名學生
    Beginner LevelBeginner
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    Accelerated Computer Science Fundamentals
    University of Illinois at Urbana-Champaign
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    評分為 4.7(滿分 5 星)。 2045 條評論
    4.7(2,045)
    55k 名學生
    Intermediate LevelIntermediate
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    Data Structures and Algorithms
    Tsinghua University
    專項課程
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    評分為 2.4(滿分 5 星)。 24 條評論
    2.4(24)
    11k 名學生
    Intermediate LevelIntermediate
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    Algorithms, Part II
    Princeton University
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    評分為 4.9(滿分 5 星)。 1551 條評論
    4.9(1,551)
    220k 名學生
    Intermediate LevelIntermediate
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    Software Design and Architecture
    University of Alberta
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    評分為 4.6(滿分 5 星)。 2348 條評論
    4.6(2,348)
    98k 名學生
    Beginner LevelBeginner
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    Computational Thinking for Problem Solving
    University of Pennsylvania
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    評分為 4.7(滿分 5 星)。 874 條評論
    4.7(874)
    55k 名學生
    Beginner LevelBeginner
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    Object Oriented Java Programming: Data Structures and Beyond
    University of California San Diego
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    評分為 4.7(滿分 5 星)。 6302 條評論
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    Intermediate LevelIntermediate
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    Competitive Programmer's Core Skills
    Saint Petersburg State University
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    評分為 4.5(滿分 5 星)。 237 條評論
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    Python Data Structures
    Coursera Project Network

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    評分為 4.4(滿分 5 星)。 280 條評論
    4.4(280)
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    Fundamentals of Computing
    Rice University
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    評分為 4.8(滿分 5 星)。 3577 條評論
    4.8(3,577)
    230k 名學生
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    IBM
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    評分為 4.6(滿分 5 星)。 70182 條評論
    4.6(70,182)
    760k 名學生
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    Princeton University
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    評分為 4.5(滿分 5 星)。 114 條評論
    4.5(114)
    55k 名學生
    Advanced LevelAdvanced
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    Johns Hopkins University
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    評分為 4.5(滿分 5 星)。 9724 條評論
    4.5(9,724)
    220k 名學生
    Beginner LevelBeginner
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    University of Illinois at Urbana-Champaign
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    評分為 4.7(滿分 5 星)。 1843 條評論
    4.7(1,843)
    52k 名學生
    Intermediate LevelIntermediate
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    Clinical Data Science
    University of Colorado System
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    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 298 條評論
    4.6(298)
    15k 名學生
    Intermediate LevelIntermediate
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    Advanced Algorithms and Complexity
    HSE University
    課程
    Filled StarFilled StarFilled StarFilled StarHalf Filled Star
    評分為 4.6(滿分 5 星)。 578 條評論
    4.6(578)
    63k 名學生
    Advanced LevelAdvanced

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總之,這是我們最受歡迎的 data structures and algorithms 門課程中的 10 門

  • Data Structures and Algorithms: HSE University
  • Algorithms: Stanford University
  • Algorithms, Part I: Princeton University
  • Data Structures: HSE University
  • Python for Everybody: University of Michigan
  • Accelerated Computer Science Fundamentals: University of Illinois at Urbana-Champaign
  • Data Structures and Algorithms: Tsinghua University
  • Algorithms, Part II: Princeton University
  • Software Design and Architecture: University of Alberta
  • Computational Thinking for Problem Solving: University of Pennsylvania

您可以在 Algorithms 中學到的技能

圖形 (22)
數學優化 (21)
計算機程序 (20)
數據數據結構 (19)
解決問題 (19)
代數 (12)
計算機視覺 (10)
離散數學 (10)
圖論 (10)
圖像處理 (10)
線性代數 (10)
強化學習 (10)

關於 Data Structures And Algorithms 的常見問題

  • Data Structures and Algorithms work together to solve computational problems, usually by enabling an algorithm to manipulate data efficiently. The algorithm uses a set of rules (the data) to find the greatest common divisor, with one example being YouTube tracking a user’s activities to display videos relevant to them. Actions such as “liking” or “disliking” a video create data structures that inform the direction of the algorithm, bringing content to users that they are more likely to find engaging.

    In the field of Marketing, Data Structures and Algorithms are commonly used to help organizations determine how to attract an audience to their online content—but they’re also used in the field of healthcare in Medical Algorithms. These are important to learn in order to calculate someone’s BMI, drug dosages, and more.

  • Data Structures and Algorithms go together like the tech industry and career opportunities—as long as people are using computers, they’ll both be in abundance. When concepts like running times, binary searches, dynamic programming, and others are nailed down, learners can begin to explore the wide variety of roles available to them. These roles include Platform Engineer, Graphics Engineer, Full-Stack Engineer, Backend Engineer, Product Analyst, Data Scientist, Data Engineer, Big Data Engineer, Data Architect, Application Developer, Mobile Developer, and others that are related.

    A search of “Data Structures and Algorithms” on LinkedIn’s job portal shows roughly 11,500 results in the U.S. alone, with opportunities at large and small tech firms.

  • Data Structures and Algorithms courses offered through Coursera equip learners with knowledge in common data structures that are used in various computational problems; typical use cases for certain data structures; principles and methods in the design and implementation of various data structures; and more.

    Lessons on Data Structures and Algorithms are taught by instructors from major universities, including University of California at San Diego and Tsinghua University. Learners can enjoy exploring Data Structures and Algorithms with instructors specializing in Computer Science, Technology, Mathematics, and other disciplines. Course content on Data Structures and Algorithms is delivered via video lectures, hands-on projects, readings, quizzes, and other types of assignments.

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學習 Algorithms 包括各種在線 Algorithms 課程。參加世界一流大學和講師提供的課程。這些課程包括記錄的自動評分作業和同學互評作業、視頻課程以及社區討論論壇。完成一門課程後,只需繳納少量費用即可獲得電子課程證書,您可與他人分享您的成就。

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學習 Algorithms 包括各種在線 Algorithms 專項課程。註冊專項課程,掌握一項專門的職業技能。您將完成一系列嚴謹的課程、處理實踐項目並獲得專項課程證書,然後與您的專業關係網和潛在雇主進行分享。

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