Data Science Foundations: Python Scientific Stack With Miki Tebeka

与讲师 Miki Tebeka 一起深入研究 Python 科学堆栈并向您展示如何使用它来解决问题。Miki 涵盖了整个数据科学过程中使用的主要包：numpy、pandas、matplotlib、scikit-learn 等。他还指导您如何加载数据、分析数据、运行模型和显示结果。

本课程与 GitHub Codespaces 集成，这是一个即时云开发人员环境，无需任何本地机器设置即可提供您最喜欢的 IDE 的所有功能。借助 GitHub Codespaces，您可以随时在任何机器上进行实践练习——同时使用您可能会在工作场所遇到的工具。观看“在本课程中使用 GitHub 代码空间”视频，了解如何开始。

Released 11/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 25m | Size: 515.6 MB

Join instructor Miki Tebeka as he dives into the Python scientific stack and shows you how to use it to solve problems. Miki covers the major packages used throughout the data science process: numpy, pandas, matplotlib, scikit-learn, and others. He also guides you through how to load data, analyze data, run models, and display results.

This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.