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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-analytics/
课程评论：没有评论
课程名称：Python数据分析 - 从初学者到高级 课程概述：本课程旨在教授数据分析的基本知识，使用Python及其相关库对数据进行清理、分析和可视化。无论您是否具有Python或统计学的基础知识，都可以参与，因为课程初期将对这两部分进行详细讲解。我们将涵盖适用于数据处理、分析和可视化的Python库。课程包含的主要内容包括： - 统计学基础 - Pandas：用于数据清理、分析和处理的Python库 - 时间序列分析 - Matplotlib：用于数据可视化的Python库 - Seaborn：另一个用于数据可视化的Python库 - 数据分析项目 完成本课程后，您将能够创建并分享自己的数据分析项目，开始学习机器学习以成为数据科学家，或者学习商业智能工具如Microsoft Power BI或Tableau，开启商业分析的职业生涯。课程将覆盖一般概念、代码及其返回值。在整个学习过程中，我将乐于回答您的关于数据分析、数据科学及其他相关概念的问题，欢迎通过课程的问答专区与我联系。
This is a data analysis course which we use Python and its libraries in order to clean, analyze and visualize our data. This course is for anyone who is interested in data analytics. You don't need to have any knowledge about python or statistics since we will be repeating these two at the beginning of the course. We will cover python libraries which is designed for data manipulation, data analysis, data visualization. Topics we are going to be covering:-Fundamentals of Statistics-Pandas ( a Python Library designed for data cleaning, data analysis and data manipulation)-Time Series Analysis-Matplotlib (a Python Library designed for data visualization)-Seaborn (a Python Library designed for data visualization)-Data Analysis Projectswill be covered in the course. After this course, you can create and share data analysis projects, start learning about machine learning in order to becoming a data scientist or you can learn a business intelligence tool like Microsoft Power BI or Tableau in order to start your career in business analytics. General concepts and codes and their returns will be covered in this course. In all course process and finishing it i would love to answering your questions about data analysis, data science and other concepts. Feel free to contact to me via courses Q & A Section.
