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    Related topics:IpythonPython 數據科學Python 數據結構初級 Python編碼數據

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    ''python'的 941 個結果

    • Python for Everybody by University of Michigan

      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)。 248007 條評論
      4.8(248,007)
      2.8 分鐘 名學生
      Beginner Level
      Beginner
    • Google IT Automation with Python by Google

      Google IT Automation with Python

      Google
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.7(滿分 5 星)。 29565 條評論
      4.7(29,565)
      650k 名學生
      Beginner Level
      Beginner
    • Python 3 Programming by University of Michigan

      Python 3 Programming

      University of Michigan
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.7(滿分 5 星)。 18721 條評論
      4.7(18,721)
      360k 名學生
      Beginner Level
      Beginner
    • Crash Course on Python by Google

      Crash Course on Python

      Google
      課程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      評分為 4.8(滿分 5 星)。 23988 條評論
      4.8(23,988)
      560k 名學生
      Beginner Level
      Beginner
    • IBM Data Science by IBM

      IBM Data Science

      IBM
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 91131 條評論
      4.6(91,131)
      1.1 分鐘 名學生
      Beginner Level
      Beginner
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      Data Science Fundamentals with Python and SQL

      IBM
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.5(滿分 5 星)。 45267 條評論
      4.5(45,267)
      610k 名學生
      Beginner Level
      Beginner
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      Applied Data Science with Python

      University of Michigan
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.5(滿分 5 星)。 31741 條評論
      4.5(31,741)
      810k 名學生
      Intermediate Level
      Intermediate
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      Programming for Everybody (Getting Started with Python)

      University of Michigan
      課程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      評分為 4.8(滿分 5 星)。 208662 條評論
      4.8(208,662)
      2.5 分鐘 名學生
      Mixed Level
      Mixed
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      Introduction to Programming with Python and Java

      University of Pennsylvania
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.4(滿分 5 星)。 767 條評論
      4.4(767)
      43k 名學生
      Beginner Level
      Beginner
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      Python for Data Science, AI & Development

      IBM
      課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 26154 條評論
      4.6(26,154)
      400k 名學生
      Beginner Level
      Beginner
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      Python Basics

      University of Michigan
      課程
      Filled StarFilled StarFilled StarFilled StarFilled Star
      評分為 4.8(滿分 5 星)。 15056 條評論
      4.8(15,056)
      310k 名學生
      Beginner Level
      Beginner
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      IBM Data Analyst

      IBM
      Professional Certificate
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 48450 條評論
      4.6(48,450)
      770k 名學生
      Beginner Level
      Beginner
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      Introduction to Python Programming

      University of Pennsylvania
      課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.4(滿分 5 星)。 530 條評論
      4.4(530)
      29k 名學生
      Beginner Level
      Beginner
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      Bachelor of Science in Computer Science

      University of London
      學位

      Offered by University of London. Earn a degree in computer science and apply your creativity to in-demand technology.

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      Data Science Foundations: Data Structures and Algorithms

      University of Colorado Boulder
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 150 條評論
      4.6(150)
      15k 名學生
      Advanced Level
      Advanced
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      Python and Statistics for Financial Analysis

      The Hong Kong University of Science and Technology
      課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.4(滿分 5 星)。 3100 條評論
      4.4(3,100)
      130k 名學生
      Intermediate Level
      Intermediate
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      Introducción a la programación en Python I: Aprendiendo a programar con Python

      Pontificia Universidad Católica de Chile
      課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.4(滿分 5 星)。 3267 條評論
      4.4(3,267)
      210k 名學生
      Beginner Level
      Beginner
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      Introduction to Python

      Coursera Project Network

      新

      指導項目
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.5(滿分 5 星)。 1743 條評論
      4.5(1,743)
      30k 名學生
      Beginner Level
      Beginner
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      Data Structures and Algorithms

      University of California San Diego
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 14984 條評論
      4.6(14,984)
      570k 名學生
      Intermediate Level
      Intermediate
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      Statistics with Python

      University of Michigan
      專項課程
      Filled StarFilled StarFilled StarFilled StarHalf Filled Star
      評分為 4.6(滿分 5 星)。 2737 條評論
      4.6(2,737)
      110k 名學生
      Beginner Level
      Beginner

    與 python 相關的搜索

    python for beginners
    python for data science
    python for everybody
    python data analysis
    python for data science, ai & development
    python finance
    python 3
    python programming
    1234…48

    總之,這是我們最受歡迎的 python 門課程中的 10 門

    • Python for Everybody: University of Michigan
    • Google IT Automation with Python: Google
    • Python 3 Programming: University of Michigan
    • Crash Course on Python: Google
    • IBM Data Science: IBM
    • Data Science Fundamentals with Python and SQL: IBM
    • Applied Data Science with Python: University of Michigan
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • Python for Data Science, AI & Development: IBM

    您可以在 Data Analysis 中學到的技能

    分析 (85)
    大數據 (64)
    Python 程序設計 (47)
    商業分析 (40)
    R 語言程序設計(中文版) (37)
    統計分析 (36)
    SQL (33)
    數據模型 (29)
    數據挖掘 (27)
    探索性數據分析 (26)
    數據建模 (21)
    數據操作 (20)

    關於 python 的常見問題

    • Python 是一种流行的通用编程语言,可用于开发大型和小型应用程序。借助 Python,您可以探索如何将 Web 开发于数据分析联系起来。Python 之所以广泛应用,得益于其庞大的标准库、易读性,以及对多种范例的支持,例如功能性、程序化和面向对象的编程风格。Python 模块可与各种数据库进行交互,这使其成为进行大规模数据分析的理想选择。Python 编程语言通常是数据科学和机器学习入门课程的理想选择。如果您一直想知道如何在线学习 Python 来开拓自己的事业,那么您来对地方了。

      在 Coursera 的 2020 全球技能指数 (GSI) 中,Python 是一种热门的工作技能。下载 2020 版 GSI 报告。

      ‎

    • We recommend these courses for those who wish to learn Python without prior computer programming experience. You might be interested in learning how to automate accounting processes, or ways to bring efficiency to day-to-day marketing analytics and data mining. Python is used in large-scale functions and software engineering jobs, such as game development, machine learning, database management, and more. Regardless of your end goals, this collection covers the fundamentals of programming in Python.‎

    • A quick search of Indeed.com returns over 40,000 job openings with Python programming skills or experience listed as a requirement. The wide adoption of the language across many industries results in a large number of job opportunities. Common job titles include Python Developer, Python Software Engineer, Full Stack Developer and Python Database Programmer. Of the Python-specific jobs listed, 43% of offered salaries are above $100K per year, and some senior-level Python programming engineer positions offer over $200K per year. It’s very fair to say that Python skills and experience can lead to a lucrative and secure career. The proper Python certification can influence hiring managers looking to fill specific roles on their team.‎

    • Following is an excerpt from a Coursera Community forum topic about what programming languages our Community members use.

      "I've been in software development for 50 years (now retired) and languages come and go. If you're into software development, keep active in several, and strive to learn a new and different culture language every year or two. In simple terms today I like Python and JavaScript. For longevity in marketable skills, C and C++ are essential base skills. I used C for over 30 years. Learn Haskell, it'll improve all your other programming skills even if you never use it in a project." - Gordon

      "For data science it is most important to understand and implement algorithms. Python is one of the languages that is really self describing. And one of the major reasons why I use it for data science projects especially machine learning is that it is very light. Anyway, for all my projects that have complicated algorithms, I use OCTAVE for trying out algorithms (since I have all datascience codes stored there). Mainly by breaking it into simpler problems and then in the end I convert it into desired language and join the simpler and shorter algorithms." - Hardi‎

    • Both Python and R are free, open-source languages that can run on Windows, macOS, and Linux. Both can handle just about any data analysis task, and both are considered relatively easy languages to learn, especially for beginners. So which should you choose to learn (or learn first)? Before we dig into the differences, here’s a broad overview of each language. Read this article about the difference between Python and R.‎

    • Before you start learning Python, it can be helpful to have some experience using computers, particularly working with any programming language. However, you don’t need any previous programming experience before learning Python. In fact, Python is typically one of the first languages programmers learn to use because of its simplicity and versatility.‎

    • Some common career paths for someone who knows Python include software development, data analysis, and back-end web applications. If you work in these fields, you may use Python to write, edit, or manage software. You may test and debug code, build websites, or connect applications. Some people may choose to work in education, financial services, computation, or project management after learning Python. They may put their Python skills to work analyzing and computing large data sets or teach others how to use the programming language.‎

    • Some topics related to Python that you can study include other programming languages like Java, Perl, and C++. The skills you develop as you learn Python can be applied to other languages, and you may find that you’re able to learn them faster. If you’re interested in some of the real-world applications of Python, you can explore topics like data science, data analysis, statistics, and scripting. Learning about these fields can help you decide the type of work you want to do as well as other courses you want to take. Additional topics include cybersecurity, cloud architecture, and computer networking.‎

    • The types of places that hire people with a background in Python are as varied as the applications that use the language, and you may find work in public and private organizations. These places may need a computer programmer who can build websites, analyze data, implement security protocols, and write code. Hiring managers for these companies may look for people with a background in Python because the language allows you to take on different roles within the organization, including product management and data analysis.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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