This course is part of the Python, Bash and SQL Essentials for Data Engineering Specialization

4.6
stars
60 ratings

Noah Gift +2 more instructors

4,978 already enrolled

Offered By

Python, Bash and SQL Essentials for Data Engineering SpecializationDuke University

About this Course

28,570 recent views

In this second course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn the fundamentals of Linux necessary to perform data engineering tasks. Additionally, you will explore how to use both Bash and zsh configurations, and develop the syntax needed to interact and control Linux. These skills will allow you to manage and manipulate databases in a Bash environment.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 4 in the

Python, Bash and SQL Essentials for Data Engineering Specialization

Intermediate Level

Some prior experience working with Linux (< 1 year)

Approx. 22 hours to complete

English

What you will learn

Use Linux tools build data engineering solutions.
Develop Bash syntax to configure and control Linux.

Skills you will gain

Bash (Unix Shell)
Database (DBMS)
Data Management
Linux

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 4 in the

Python, Bash and SQL Essentials for Data Engineering Specialization

Intermediate Level

Some prior experience working with Linux (< 1 year)

Approx. 22 hours to complete

English

Instructors

Instructor rating

4.5/5 (16 Ratings)

Offered by

Duke University

Syllabus - What you will learn from this course

Week1

Week 1

7 hours to complete

Using Linux

7 hours to complete

18 videos (Total 99 min), 2 readings, 1 quiz

18 videos

Welcome to Linux and Bash for Data Engineering57sMeet your Course Instructor: Noah Gift48sOverview of Key Concepts4mIntroduction to Working with Linux41sIntroduction to the Linux Shell2mInstalling and Accessing Linux11mGetting Started with Github Codespaces9mComparing Linux Shell Environments9mWriting 'Hello World' Bash Script6mPopular Terminal Commands in Linux14mIntroduction to Shell Piping1mWhat is Shell Piping?3mWalkthrough of Shell Pipeline Examples12mIntroduction to SSH1mWhat is SSH?4mCreating SSH Keys and using with GitHub4mUsing SSH to Connect to Remote Server in AWS Cloud7mWalkthrough of SSH Tunneling Example4m

2 readings

Meet your Supporting Instructors: Kennedy Behrman and Alfredo Deza10mCourse Structure and Discussion Etiquette10m

1 practice exercise

Using Linux30m

Week2

Week 2

5 hours to complete

Using Bash

5 hours to complete

14 videos (Total 65 min)

14 videos

Introduction to Working with Bash45sIntroduction to Configuring your Bash Shell Environment2mWhat are Shell Configuration Files?5mConfiguring .bashrc11mConfiguring .zshrc and Third-Party Tool oh-my-zsh9mIntroduction to Working with Shell Variables1mWhat are Shell Variables?4mExporting Shell Variables in an Interactive Prompt6mUsing Shell Variables in a Bash Script7mIntroduction to Standard Streams1mWhat are Standard Streams?2mUsing Standard Out5mUsing Standard In2mUsing Standard Error2m

1 practice exercise

Using Bash30m

Week3

Week 3

6 hours to complete

Building Bash Scripts

6 hours to complete

18 videos (Total 63 min)

18 videos

Introduction to Building Bash Scripts44sIntroduction to Shell Logic and Control Flow52sWhat is Shell Control Flow?2mUsing Shell Control Flow to Solve Problems in Bash2mUsing Shell Loops in Bash6mEvaluating Conditions in Bash5mIntroduction to Manipulating Data in the Bash Shell1mShell Techniques for Data in the Bash Shell2mTruncating Data in Bash3mFiltering Data in Bash3mSearching Data in Bash4mIntroduction to Writing Scripts and Command-Line Tools in Bash31sWhat are Scripts and Command-Line Tools?3mBuilding a Bash Script4mBuilding a Bash Function5mBuilding a Bash Command-Line Tool3mBash-Adjacent Tools: Makefiles and Dockerfiles7mData Structures in Bash4m

1 practice exercise

Building Bash Scripts30m

Week4

Week 4

6 hours to complete

Composing File and Data Solutions

6 hours to complete

17 videos (Total 62 min)

17 videos

Introduction to Composing File and Data Management Solutions in Linux29sIntroduction to Searching a Filesystem in Linux45sMethods for Searching a Filesystem in Linux4mUsing the Locate Command to Find Files in Linux3mUsing the Find Command to Find Files in Linux2mUsing xargs to Extend Search Capabilities in Linux2mUsing mdfind on OS X6mIntroduction to Modifying Files, Directories, Permissions and Archiving in Linux40sOverview of Modifying the Filesystem in Linux3mMoving Files and Directories in Linux6mSetting Permissions on Files and Directories in Linux4mArchiving Data in Linux3mIntroduction to Processing Text in Linux40sBenefits of Processing Text in Linux1mUsing grep, cut, sort and unique in Linux8mEditing with Truncation, awk and sed in Linux7mUsing Regular Expressions (regex) in Linux5m

1 practice exercise

Composing File and Data Management Solutions with Linux30m

Reviews

4.6

17 reviews

5 stars
77.04%
4 stars
14.75%
3 stars
3.27%
2 stars
3.27%
1 star
1.63%

TOP REVIEWS FROM LINUX AND BASH FOR DATA ENGINEERING

by AAMar 3, 2023

So useful and so easy to understand. Thx for the nice instruction technique!!

by IEDec 3, 2022

The course is awesome, but it needs to re-sort the subjects of the course..

View all reviews

About the Python, Bash and SQL Essentials for Data Engineering Specialization

If you are interested in developing the skills needed to be a data engineer, the Python, Bash and SQL Essentials for Data Engineering Specialization is a great place to start. We live in a world that is driven by big data - from what we search online to the route we take to our favorite restaurant, and everything in between. Businesses and organizations use this data to make decisions that impact the ways in which we navigate our lives. How do engineers collect this data? How can this data be organized so that it can be appropriately analyzed? A data engineer is specialized in this initial step of accessing, cleaning and managing big data.

Data engineers today need a solid foundation in a few essential areas: Python, Bash and SQL. In Python, Bash and SQL Essentials for Data Engineering, we provide a nuts and bolts overview of these fundamental skills needed for entering the world of data engineering. Led by three professional data engineers, this Specialization will provide quick and accessible ways to learn data engineering strategies, give you a chance to practice what you’ve learned in integrated lab exercises, and then immediately apply these techniques in your professional or academic life.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Linux and Bash for Data Engineering

About this Course

What you will learn

Skills you will gain

Instructors

Noah Gift

Kennedy Behrman

Alfredo Deza

Offered by

Duke University

Syllabus - What you will learn from this course

Using Linux

Using Bash

Building Bash Scripts

Composing File and Data Solutions

Reviews

TOP REVIEWS FROM LINUX AND BASH FOR DATA ENGINEERING

About the Python, Bash and SQL Essentials for Data Engineering Specialization

Frequently Asked Questions

Learn Something New

Popular Data Science Courses

Popular Computer Science & IT Courses

Popular Business Courses

Coursera

Community

More

Linux and Bash for Data Engineering

About this Course

What you will learn

Skills you will gain

Instructors

Noah Gift

Kennedy Behrman

Alfredo Deza

Offered by

Duke University

Syllabus - What you will learn from this course

Using Linux

Using Bash

Building Bash Scripts

Composing File and Data Solutions

Reviews

TOP REVIEWS FROM LINUX AND BASH FOR DATA ENGINEERING

About the Python, Bash and SQL Essentials for Data Engineering Specialization

Frequently Asked Questions

Coursera Footer

Learn Something New

Popular Data Science Courses

Popular Computer Science & IT Courses

Popular Business Courses

Coursera

Community

More