Learn to develop and deploy software using Python. This specialization will provide you with foundation in the fundamentals of programming, including knowledge and skills essential for a career in software engineering, information technology and data science.

4.3

stars

39 ratings

Aspen Olmsted

Offered By

Python Scripting for DevOps SpecializationLearnQuest

What you will learn

Develop computer programs that utilize classes and objects to solve business and mathematical problems

Skills you will gain

Build AutomationscriptingDevopsPython ProgrammingComputer ProgrammingData TypeFor LoopControl FlowProgramming ToolSoftware EngineeringData Structureinheritance (object-oriented programming)

About this Specialization

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In the first course, you will learn some of the concepts of procedural programming: user input, console output, variable declaration and assignment, decision branching and iteration. The second course will introduce you to Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. In the third course you'll learn about Files, Inheritance and external libraries. And in the final course we will look at several automation concepts in DevOps with Python.

Applied Learning Project

In the Python Scripting for DevOps Specialization, the hands-on labs in each course will allow you to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson. These labs are browser-based and do not require a local environment to be installed.

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

This specialization is for anyone interested in learning more about computer programming.

Approximately 4 months to complete

Suggested pace of 5 hours/week

English

Subtitles: English

Shareable Certificate

Earn a Certificate upon completion

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

This specialization is for anyone interested in learning more about computer programming.

Approximately 4 months to complete

Suggested pace of 5 hours/week

English

Subtitles: English

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

There are 4 Courses in this Specialization

Course1

Course 1

Introduction to Python Scripting for DevOps

4.3

stars

24 ratings

•

3 reviews

This course is the first course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the five main concepts in procedural programming: user input, console output, variable declaration and assignment, decision branching and iteration. Labs will allow you to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Course2

Course 2

Python Scripting: Dates, Classes and Collections

4.3

stars

13 ratings

•

2 reviews

This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Course3

Course 3

Python Scripting: Files, Inheritance, and Databases

This course is the third course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the three main concepts in programming: Files, Inheritance and external libaries. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Course4

Course 4

DevOps and Build Automation with Python

4.1

stars

19 ratings

•

3 reviews

This course is the final course in a series that aims to prepare you for a role working as a programmer. In this course we will look at several automation concepts in DevOps with Python. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

Instructor

Aspen Olmsted

Professor and Program Director

3,943 Learners

14 Courses

Offered by

LearnQuest

LearnQuest is the preferred training partner to the world’s leading companies, organizations, and government agencies. Our team boasts 20+ years of experience designing, developing and delivering a full suite industry-leading technology education classes and training solutions across the globe. Our trainers, equipped with expert industry experience and an unparalleled commitment to quality, facilitate classes that are offered in various delivery formats so our clients can obtain the training they need when and where they need it.

Frequently Asked Questions

What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Can I just enroll in a single course?
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Can I take the course for free?
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
How long does it take to complete the Specialization?
To complete all four courses in the specialization, you will spend 4-6 hours per week for 16 weeks.
What background knowledge is necessary?
Familiarity of computers is recommended, but there is no specific background required. This specialization begins with the basics.
Do I need to take the courses in a specific order?
Yes, because each course builds on the prior course, we recommend that you take them in order.
Will I earn university credit for completing the Specialization?
No, this is not a University course.
What will I be able to do upon completing the Specialization?
You will be able to write, test and deploy programs using the Python language.

More questions? Visit the Learner Help Center.