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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-beginners-guide-to-the-command-line/
课程评论：没有评论
课程名称：数据科学：命令行初学者指南 概述： 欢迎来到《数据科学：命令行初学者指南》课程！如果你有兴趣开始你的数据科学职业生涯，那么这个课程非常适合你。课程将引导你了解命令行为何是数据科学家必备的工具，介绍Unix文件系统结构以及数据科学家必须掌握的基本shell命令。 该课程分为以下四个主要主题： 1. 介绍：这一部分将涵盖命令行作为数据科学家必要工具的原因，Unix和Linux操作系统的简要比较，以及如何选择合适的shell环境。 2. 命令行基础：本部分将提供关于macOS图形用户界面快捷键的快速指南，介绍Unix文件系统结构，以及执行shell命令的基础知识。 3. 命令行高级主题：在这一部分中，课程将讲解数据科学家必须熟悉的常见文件类型以及高级shell命令。 4. 从命令行进行数据科学：本部分将教你如何创建、打开、运行和保存IPython脚本，并展示数据科学工作流程，从打开终端到完成数据集的小型分析。 课程旨在帮助初学者掌握命令行的使用，提升数据科学技能，让每位参与者都能自信地在命令行中进行工作。
"I used to avoid my bash shell and go straight to my GUI. This course has taught me that it is pretty easy (and even necessary for any aspiring Data Scientist ) to use!" ~ Vanessa "This is the best course I have taken on Udemy and your style of teaching is super amazing." ~ Albert "Very well explained." ~ Bipen Welcome to Data Science: Beginners Guide to the Command Line! If you are interested in kick starting your career in Data Science, then this course is for you! This course will guide you through an array of topics concerning why the command line is a necessary tool for Data Scientists, an introduction to the Unix filesystem structure, and the basic shell commands that Data Scientists must master in order to effectively operate from the command line. My course is broken up into four main topics: Introduction, Command Line Basics, Command Line Advanced Topics, and Data Science From the Command Line. Introduction- In this section I will cover topics including, but not limited to, why the command line is a necessary tool for Data Scientists, a brief comparison between the Unix and Linux operating systems, and how to choose the correct shell environment.Command Line Basics- In this section I will cover topics including, but not limited to, a quick guide to shortcuts within the macOS Graphical User Interface, an introduction to the Unix filesystem structure, and the basics of executing shell commands.Command Line Advanced Topics- In this section I will cover common file types Data Scientists must be familiar with along with advanced shell commands.Data Science From the Command Line- In this section I will cover how to create, open, run, and save IPython scripts from the command line. In addition, I will go through an entire Data Science workflow from opening the terminal to completing a small analysis of a data set.
