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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-data-visualization-with-python-2022/
课程评论：没有评论
课程名称：2022年完整的Python数据可视化 课程概述： 本课程将提供学习Python的资源，并有效地使用它来分析和可视化数据！帮助你开启数据科学的职业生涯。课程将让你全面了解如何使用Python编程，以及如何与科学计算模块和库结合来分析数据。你将获得终身访问权，包括多个Python代码笔记本、新的及更新的视频，以及未来各种数据分析项目的增补，这些都可以作为作品集展示给未来的雇主！ 课程结束时，你将能够： - 理解如何用Python编程。 - 使用NumPy和Python创建和操作数组。 - 利用pandas创建和分析数据集。 - 使用matplotlib和seaborn库创建美观的数据可视化。 - 理解包括lm图、气泡图等多种图表，这些在其他课程中不会涉及。 - 理解plotly和dash，并以最有效的方式使用它们。 - 执行3D和4D图的绘制。 此外，本课程充满了基于实际案例的实践练习。因此，你不仅会学习理论，还能获得动手构建自己的模型的实践经验。课程中还有超过5个项目供你练习，具体项目包括： - 世界健康报告项目 - 贫困统计数据项目 - Google Play Store数据集项目 - HPI数据集项目 - 大学数据集项目 通过这些综合实践，你将能够将所学知识应用于真实世界的数据分析中。
This course will give you resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Science!You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.You will also get lifetime access to many python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!By the end of this course you will:- Have an understanding of how to program in Python.- Know how to create and manipulate arrays using NumPy and Python.- Know how to use pandas to create and analyze data sets.- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.- Have an understanding of many other plots such as lm plots, Bubble plots, and many other kinds of plots which will not be covered in any other course.- Have an understanding of plotly and dash and how to use them in the most efficient way.- Know how to perform 3D and 4D plots.Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are more than 5 projects for you to practice. These projects are listed below:World Health Report project.Poverty Statistics Data project.Google Play Store dataset project.HPI dataset Project.Universities dataset Project.
