Data Science: Beginners Guide to the Command Line

Data Science: Beginners Guide to the Command Line, available at $19.99, has an average rating of 3.9, with 32 lectures, based on 150 reviews, and has 8045 subscribers.

You will learn about Data Science From the Command Line Introduction to the Unix Operating System Quick Guide to Shortcut Commands for the macOS Graphical User Interface Basic & Advanced Bash Shell Commands Introduction to the macOS Terminal (Bash Shell) Create, Open, Run, & Save IPython Scripts from the Command Line This course is ideal for individuals who are My target student is someone who is interested in getting started with Data Science and is seeking to learn the basics of the command line from the macOS terminal (i.e. Bash Shell). It is particularly useful for My target student is someone who is interested in getting started with Data Science and is seeking to learn the basics of the command line from the macOS terminal (i.e. Bash Shell).

Enroll now: Data Science: Beginners Guide to the Command Line

Summary

Title: Data Science: Beginners Guide to the Command Line

Price: $19.99

Average Rating: 3.9

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

Data Science From the Command Line
Introduction to the Unix Operating System
Quick Guide to Shortcut Commands for the macOS Graphical User Interface
Basic & Advanced Bash Shell Commands
Introduction to the macOS Terminal (Bash Shell)
Create, Open, Run, & Save IPython Scripts from the Command Line

Who Should Attend

My target student is someone who is interested in getting started with Data Science and is seeking to learn the basics of the command line from the macOS terminal (i.e. Bash Shell).

Target Audiences

My target student is someone who is interested in getting started with Data Science and is seeking to learn the basics of the command line from the macOS terminal (i.e. Bash Shell).

“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.�

Course Curriculum

Chapter 1: Introduction to the Command Line

Lecture 1: Welcome

Lecture 2: What We Will Cover in the Section

Lecture 3: Unix Vs. Linux

Lecture 4: The Bash Shell & Alternative Shell Environments

Lecture 5: Mechanics of the Unix Operating System

Lecture 6: The Command Line for Data Scientists

Lecture 7: Install the Anaconda Distribution of Python

Chapter 2: Command Line Basics

Lecture 1: What We Will Cover in This Section

Lecture 2: Quick Guide to the macOS Graphical User Interface

Lecture 3: The ls Command

Lecture 4: The Unix File System Structure

Lecture 5: Proper Naming Convention

Lecture 6: The mkdir Command

Lecture 7: The touch Command

Lecture 8: The rm, rm -r, & rmdir Commands

Lecture 9: First Challenge!

Lecture 10: The history Command

Lecture 11: The cp Command

Lecture 12: Lecture 1: The mv Command

Lecture 13: Lecture 2: The mv Command

Chapter 3: Command Line Advanced Topics

Lecture 1: What We Will Cover in the Section

Lecture 2: File Types

Lecture 3: The grep Command

Lecture 4: The echo Command

Lecture 5: The wildcard Commands

Lecture 6: Second Challenge!

Chapter 4: Data Science From the Command Line

Lecture 1: What We Will Cover in the Section

Lecture 2: Pip & Conda Install

Lecture 3: Ipython & Ipython Magic

Lecture 4: A-Z Data Science Workflow

Lecture 5: Final Challenge

Lecture 6: Congratulations!

Instructors

Ben Weinstein
Data Scientist | Adventurer

Rating Distribution

1 stars: 5 votes
2 stars: 15 votes
3 stars: 22 votes
4 stars: 55 votes
5 stars: 53 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu