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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analysis-on-titanic-dataset-using-python/
课程评论：没有评论
**Coursera课程总结：使用Python对泰坦尼克号数据集进行数据分析** 本课程是一门实践性很强的项目驱动型课程，旨在教授学员如何利用Python及其关键数据分析和可视化库来处理分析数据，并将此项目添加到简历中。 **课程核心内容：** 1. **Python3基础：** 巩固Python3核心知识，为后续库的学习打下坚实基础。 2. **数据分析与处理：** 掌握NumPy和Pandas库，学习数据分析和操作的关键技术。 3. **数据可视化：** 利用Matplotlib、Seaborn和Plotly Express库，将数据转化为生动有趣的图表。 **学习方式与资源：** * **学习环境：** 使用云端IDE Google Colab进行代码编写和实践。 * **教学形式：** 包含讲座、代码同步视频、编程练习和测验。 * **实践机会：** 大量专门的挑战环节，提供多样化的数据集，帮助学员深入掌握外部库的应用。 * **课程材料：** 提供讲座的终身访问权限，以及包含详细Notebooks的可下载课程资源。 **课程目标：** 使学员熟练掌握Python语言以及常用的数据分析和可视化库。 **适用人群：** 适合所有水平的学习者，不受操作系统限制。
Learn By Making Project which could be added in the resumeLearn one of the most in demand programming languages in the world and master the most important libraries when it comes to analyzing and visualizing data.This course can be split into 3 key areas:The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this courseThe second area focuses on analysing and manipulating data. You will learn how to master both NumPy and PandasFor the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib, Seaborn and Plotly ExpressYou will be using Google colab, a cloud based IDE for writing the codes.The course is packed with lectures, code-along videos, coding exercises and quizzes.On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.There should be more than enough to keep you engaged and learning! As an addition you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.This course is suitable for students of all levels and it doesn't matter what operating system you use.
