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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/get-started-with-python
课程评论：没有评论
课程名称：开始学习Python 概述：这是谷歌高级数据分析证书七门课程中的第二门。Python编程语言是数据分析的强大工具。在本课程中，您将学习Python编程的基本概念，以及数据专业人员在工作中如何使用Python。您将探索面向对象编程、变量、数据类型、函数、条件语句、循环和数据结构等概念。 课程大纲： 1. **你好，Python！** - 描述：您将发现Python编程语言的主要特点和优势，以及Python如何助力您的数据分析。Python是一种基于对象的面向对象编程语言，包含数据和有用代码。您将熟悉面向对象编程的核心概念：对象、类、方法和属性。您将学习如何使用交互式编程环境Jupyter Notebooks进行编码和数据工作，并开始实践重要的编码技能。 2. **函数和条件语句** - 描述：接下来，您将学习如何调用函数对数据执行有用的操作。您还将学习如何编写条件语句，以指导计算机基于您的指令做出决策，并练习编写清晰易懂、便于其他数据专业人员重用的代码。 3. **循环和字符串** - 描述：您将开始探索循环，这些循环会重复执行部分代码，直到处理完成。您将学习如何使用不同类型的迭代代码，例如for循环和while循环。接着，您将探索字符串，它们是字符（如字母或标点符号）的序列，并学习如何通过索引、切片和格式化对字符串进行操作。 4. **Python中的数据结构** - 描述：现在，您将探索Python中的数据结构，这些是存储和组织计算机中数据的方法。您将重点关注对数据专业人员最有用的数据结构：列表、元组、字典、集合和数组。您还将了解如何通过数据加载、清洗和分箱来对数据进行分类。最后，您将学习两个用于高级数据分析的广泛使用和重要的Python工具：NumPy和pandas。 5. **课程结束项目** - 描述：您将通过课程结束项目将迄今为止学到的Python知识付诸实践。在一个真实的职场场景中，您将使用Python来检查和组织提供的数据集。
Name:Hello, Python!
Description:You’ll discover the main features and benefits of the Python programming language, and how Python can help power your data analysis. Python is an object-oriented programming language based on objects that contain data and useful code. You’ll become familiar with the core concepts of object-oriented programming: object, class, method, and attribute. You’ll learn about Jupyter Notebooks, an interactive environment for coding and data work. You’ll investigate how to use variables and data types to store and organize your data; and, you'll begin practicing important coding skills.
Name:Functions and conditional statements
Description:Next, you’ll discover how to call functions to perform useful actions on your data. You’ll also learn how to write conditional statements to tell the computer how to make decisions based on your instructions. And you’ll practice writing clean code that can be easily understood and reused by other data professionals.
Name:Loops and strings
Description:You’ll start off by exploring loops, which repeat a portion of code until a process is complete. You’ll learn how to work with different kinds of iterative or repeating code, such as for loops and while loops. Then, you'll explore strings, which are sequences of characters like letters or punctuation marks. You’ll learn how to manipulate strings by indexing, slicing, and formatting them.
Name:Data structures in Python
Description:Now, you’ll explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on data structures that are among the most useful for data professionals: lists, tuples, dictionaries, sets, and arrays. You’ll also discover how to categorize data using data loading, cleaning, and binning. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas.
Name:Course 2 end-of-course project
Description:You will put everything you have learned about Python so far into practice with an end-of-course project. You’ll complete an end-of-course project by using Python to inspect and organize a dataset provided in a realistic workplace scenario.
This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures. Google employees who currently work in the field will guide you through t
