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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-data-science-with-python-for-beginners/
课程评论：没有评论
课程名称：初学者的Python与数据科学 课程概述： 数据科学是对数据的研究，涉及开发记录、存储和分析数据的方法，以有效提取有用信息。数据在我们的日常工作中扮演着重要角色，无论是提供有关客户的宝贵见解，还是为产品、政策或系统开发提供信息。大企业、社交媒体、金融和公共部门都依赖数据科学家分析数据，以提取推动业务增长的见解。Python是一种现代的动态面向对象编程语言，易于学习，可以用于许多大大小小的任务。Python是一种高级编程语言，意味着它更接近人类而非计算机。由于其灵活性，它也被称为通用编程语言。在数据科学中，Python被广泛使用。本课程是针对初学者的课程，将介绍使用Python的一些数据科学基础知识。 学习内容： - 如何设置环境以使用Jupyter Notebook进行探索 - 如何将Python库导入环境 - 如何处理表格数据 - 如何探索Pandas DataFrame - 如何探索Pandas Series - 如何操作Pandas DataFrame - 如何清洗数据 - 如何进行数据可视化 通过本课程，您将能够掌握数据科学的基本概念及其在Python中的应用，为进一步深入学习打下坚实基础。
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful informationData is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science. This course is a beginners course that will introduce you to some basics of data science using Python.What You Will Learn How to set up environment to explore using Jupyter NotebookHow to import Python Libraries into your environmentHow to work with Tabular dataHow to explore a Pandas DataFrameHow to explore a Pandas SeriesHow to Manipulate a Pandas DataFrameHow to clean dataHow to visualize data
