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Automate Cybersecurity Tasks with Python

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Automate Cybersecurity Tasks with Python

This course is part of Google Cybersecurity Professional Certificate

Instructor: Google Career Certificates

336,835 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

3,566 reviews

Beginner level

No prior experience required

Flexible schedule

3 weeks at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

3,566 reviews

Beginner level

No prior experience required

Flexible schedule

3 weeks at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

What you'll learn

Explain how the Python programming language is used in cybersecurity
Create new, user-defined Python functions
Use regular expressions to extract information from text
Practice debugging code

Skills you'll gain

Tools you'll learn

Python Programming

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

17 assignments

Taught in English

91% of learners achieved a positive career outcome

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Build your Computer Security and Networks expertise

This course is part of the Google Cybersecurity Professional Certificate

When you enroll in this course, you'll also be enrolled in this Professional Certificate.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate from Google

There are 4 modules in this course

This is the seventh course in the Google Cybersecurity Certificate. In this course, learners will be introduced to the Python programming language and learn how to apply it to a security setting to automate tasks. First, learners will focus on key foundational Python programming concepts, including data types, variables, conditional statements and iterative statements. Next, they will learn to work effectively with Python by developing functions, using libraries and modules, and making their code readable. Following this, they will explore working with string and list data. A final component of learning to automate tasks through Python will be an exploration of how to import and parse files, and then the course will conclude with a focus on debugging.

By the end of this course, you will: - Explain how the Python programming language is used in cybersecurity. - Write conditional and iterative statements in Python. - Create new, user-defined Python functions. - Use Python to work with strings and lists. - Use regular expressions to extract information from text. - Use Python to open and read the contents of a file. - Identify best practices to improve code readability. - Practice debugging code.

Module details

This module provides an introduction to the Python programming language. It explains how Python is used in cybersecurity. It also introduces learners to foundational concepts including data types, variables, conditional statements, and iterative statements.

What's included

12 videos11 readings4 assignments8 ungraded labs1 plugin

12 videosTotal 51 minutes

Introduction to Course 7 3 minutes
Ángel: My personal career journey3 minutes
Welcome to module 1 2 minutes
Python and cybersecurity4 minutes
Create a basic Python script 3 minutes
Akash: Python and the cybersecurity professional2 minutes
Data types in Python 6 minutes
Work with variables in Python8 minutes
Conditional statements in Python9 minutes
For loops 5 minutes
While loops6 minutes
Wrap-up 1 minute

11 readingsTotal 64 minutes

Course 7 overview 4 minutes
Helpful resources and tips4 minutes
Get to know Python 4 minutes
Python environments 4 minutes
Lab tips and troubleshooting steps4 minutes
More about data types 8 minutes
Assign and reassign variables in Python8 minutes
More on conditionals in Python8 minutes
More on loops in Python12 minutes
Reference guide: Python concepts from module 14 minutes
Glossary terms from module 1 4 minutes

4 assignmentsTotal 74 minutes

Test your knowledge: Introduction to Python programming in cybersecurity8 minutes
Test your knowledge: Core Python components 8 minutes
Test your knowledge: Conditional and iterative statements 8 minutes
Module 1 challenge50 minutes

8 ungraded labsTotal 255 minutes

Activity: Practice writing Python code 35 minutes
Exemplar: Practice writing Python code20 minutes
Activity: Assign Python variables 50 minutes
Exemplar: Assign Python variables 20 minutes
Activity: Create a conditional statement 50 minutes
Exemplar: Create a conditional statement20 minutes
Activity: Create loops 40 minutes
Exemplar: Create loops 20 minutes

1 pluginTotal 10 minutes

Identify: Select the correct iterative statement10 minutes

This module expands the learners’ ability to effectively work with the Python programming language. They will learn about both pre-built and user-defined Python functions. They will also explore how modules help provide access to reusable code. Finally, they will learn how to make their code readable.

What's included

10 videos7 readings4 assignments4 ungraded labs

10 videosTotal 33 minutes

Welcome to module 2 1 minute
Introduction to functions3 minutes
Create a basic function3 minutes
Use parameters in functions5 minutes
Return statements4 minutes
Explore built-in functions6 minutes
Modules and libraries 3 minutes
Code readability5 minutes
Dorsa: Use Python efficiently on a cybersecurity team2 minutes
Wrap-up 1 minute

7 readingsTotal 48 minutes

Python functions in cybersecurity8 minutes
Functions and variables8 minutes
Work with built-in functions8 minutes
Import modules and libraries in Python 8 minutes
Ensure proper syntax and readability in Python 8 minutes
Reference guide: Python concepts from module 2 4 minutes
Glossary terms from module 24 minutes

4 assignmentsTotal 74 minutes

Test your knowledge: Introduction to functions8 minutes
Test your knowledge: Arguments, parameters, and return statements 8 minutes
Test your knowledge: Learn from the Python community8 minutes
Module 2 challenge50 minutes

4 ungraded labsTotal 115 minutes

Activity: Define and call a function35 minutes
Exemplar: Define and call a function20 minutes
Activity: Create more functions40 minutes
Exemplar: Create more functions20 minutes

In this module, learners will explore more options for working with strings and lists in Python, and discover methods that can be applied to these data types. They will apply this knowledge to write a short algorithm. Finally, learners will use regular expressions to search for patterns in strings.

What's included

7 videos5 readings4 assignments6 ungraded labs1 plugin

7 videosTotal 37 minutes

Welcome to module 3 1 minute
String operations 6 minutes
String indices and slices 6 minutes
List operations in Python8 minutes
Write a simple algorithm 6 minutes
Regular expressions in Python 8 minutes
Wrap-up 1 minute

5 readingsTotal 30 minutes

Strings and the security analyst 8 minutes
Lists and the security analyst 8 minutes
More about regular expressions 8 minutes
Reference guide: Python concepts from module 34 minutes
Glossary terms from module 3 2 minutes

4 assignmentsTotal 74 minutes

Test your knowledge: Work with strings 8 minutes
Test your knowledge: Work with lists and develop algorithms8 minutes
Test your knowledge: Regular expressions8 minutes
Module 3 challenge50 minutes

6 ungraded labsTotal 210 minutes

Activity: Work with strings in Python 50 minutes
Exemplar: Work with strings in Python20 minutes
Activity: Develop an algorithm 45 minutes
Exemplar: Develop an algorithm 20 minutes
Activity: Use regular expressions to find patterns 55 minutes
Exemplar: Use regular expressions to find patterns 20 minutes

1 pluginTotal 10 minutes

Practice: Work with index values10 minutes

This module explores putting Python into practice. Learners focus on automating security-related tasks. Part of this requires working with files. After learners are introduced to opening and reading files, they will then learn to parse files and structure their contents. Finally, learners will focus on strategies for debugging their code.

What's included

11 videos12 readings5 assignments6 ungraded labs

11 videosTotal 39 minutes

Welcome to module 41 minute
Automate cybersecurity tasks with Python4 minutes
Clancy: Continual learning and Python 2 minutes
Access a text file in Python4 minutes
Parse a text file in Python3 minutes
Develop a parsing algorithm in Python7 minutes
Debugging strategies6 minutes
Matt: Learning from mistakes3 minutes
Apply debugging strategies6 minutes
Wrap-up1 minute
Course wrap-up2 minutes

12 readingsTotal 66 minutes

Automating Tasks in CI/CD10 minutes
Essential Python components for automation 8 minutes
Import files into Python8 minutes
Work with files in Python8 minutes
Portfolio Activity Exemplar: Update a file through a Python algorithm4 minutes
Explore debugging techniques 8 minutes
Reference guide: Python concepts from module 44 minutes
Glossary terms from module 4 4 minutes
Reflect and connect with peers2 minutes
Reference guide: Python concepts from Course 74 minutes
Course 7 glossary 2 minutes
Get started on the next course 4 minutes

5 assignmentsTotal 104 minutes

Test your knowledge: Python and automation 8 minutes
Test your knowledge: Work with files in Python 8 minutes
Test your knowledge: Debug Python code 8 minutes
Portfolio Activity: Update a file through a Python algorithm30 minutes
Module 4 challenge50 minutes

6 ungraded labsTotal 185 minutes

Activity: Import and parse a text file 40 minutes
Exemplar: Import and parse a text file 20 minutes
Activity: Create another algorithm 50 minutes
Exemplar: Create another algorithm 20 minutes
Activity: Debug Python code 35 minutes
Exemplar: Debug Python code 20 minutes

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Instructor

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(860 ratings)

Google Career Certificates

Google

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4 stars
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3 stars
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2 stars
1.17%
1 star
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Reviewed on Jan 1, 2024

Teacher is very good, explained concepts very well i would love to learn more from this teacher, only thing which is missing in this course is setup of python in windows , Linux this needs to be add

Reviewed on Sep 4, 2024

the main facilitator is an excellent teacher. I appreciate. The model used by Coursera for this course and others is beautiful and learning friendly. keep it up.

Reviewed on Aug 17, 2023

I was new to Python but I easily learned all the concepts thanks to the interactive content provided in the course. If you have basic programming knowledge you can easily complete the course.

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