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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-pandas-data-crash-course/
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课程名称：2024年Python Pandas数据快速入门课程（学习通过实践） 课程概述：数据科学最重要的部分是理解数据。只有掌握了正确的数据知识和适合任务的数据，才能够实现最佳成果。数据的分析、可视化和操作在数据科学中至关重要。Python使得机器学习和数据科学的所有操作变得简单。通过使用Python中一些顶级库，我们可以轻松实现目标，其中Pandas库使我们能够高效地审查和操作数据，从而降低复杂性并加快问题解决的过程。本课程将重点介绍每位数据科学家在完成项目时必须使用的各种操作，以最少的资源实现最高效能。 您将在本课程中学习到： - 通过逐步示例学习Python。 - 如何安装Python 3。 - 如何使用Python IDLE。 - 如何选择Python IDE进行编码学习。 - 如何安装Anaconda进行Python编码。 - 如何使用在线Jupyter进行Python编程。 - Python中的变量与运算符之间的区别。 - Python中的运算符类型。 - Python的数据类型。 - Python中的字符串函数及其使用。 - 如何使用输入字符串函数。 - Python中的数据结构。 - 如何创建和操作列表、字典和元组。 - Python中“for”循环的使用时机。 - 如何创建和操作集合。 - 控制流和循环的使用。 - Python中的“if”语句和控制流。 - 如何处理Python程序中的错误。 - 如何创建和使用函数及Lambda表达式。 - 如何创建和使用Python模块。 - 如何使用Python打开文件。 - 数据分析过程的逐步学习。 - 在本课程中学习Python Pandas库方法、数据分析和数据可视化的编码。 这门课程将通过实践与应用，帮助您快速掌握Python及Pandas库，提升您的数据分析能力。
The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.Everything about machine learning and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.One of the best features available in Python for data analysis operations is the Pandas library. You are capable of doing a wide range of jobs with ease. In this course, we'll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.What you will learn in this course ?Learn Python by doing Examples step by step.In this course you will learn how to Install Python 3.In this course you will learn how to use python IDLE.In this course you will learn how to choose Python IDE to learn coding.In this course you will learn how to Install Anaconda for Python coding.In this course you will learn how to use Online Jupyter for Python Programming.In this course you will learn how to use Python IDLE.In this course you will learn how What the difference between Variables & Operators in Python.In this course you will learn Operators Types in Python.In this course you will learn Python Data Types.In this course you will learn String Functions & entries in Python.In this course you will learn how to use Input String Function in Python.In this course you will learn Python Data Structures.In this course you will learn how to create Lists & lists operations in Python.In this course you will learn how to create Dictionaries & Dictionaries operations in Python.In this course you will learn how to create Tuples & Tuples operations in Python.In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.In this course you will learn how and when to use Control Flow and Loops in Python.In this course you will learn IF Statement and control flow in Python.In this course you will learn how and when to use For Loop in Python.In this course you will learn how and when to use While Loop in Python.In this course you will learn how to Handle Errors in your Python programs.In this course you will learn how and when to use Python Functions.In this course you will learn how and when to create functions in Python.In this course you will learn how and when to use Lambda Expression in Python.In this course you will learn how to create and use to Python Modules.Lear how to use Python to open files.Learn Data Analysis Process step by step.Learn coding in Python Pandas Library Methods in this course.Learn coding in Python Pandas Library Data Analysis in this course.Learn coding in Python Pandas Library Data Visualization in this course.
