Taming REGEX - A Complete Guide to Regular Expressions
Simple Regex examples in Python, PHP, HTML5, Sheets and PowerShell for you to better understand Regular Expressions.
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What You'll Learn in This Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learning Outcome 1
This Regular Expressions (Regex) course is not only designed to teach you regex but also designed to hone your knowledge by giving you real-world examples to work with.
Learning Outcome 2
Understanding regex is a powerful tool to have at your disposal and is a crucial skill set for IT professionals and people whose jobs entail data analysis.
Learning Outcome 3
Understanding regex is critical in using and utilising the full scope and functionality of some of the world’s most popular programming languages such as Python, PowerShell, Javascript, PHP etc.
Learning Outcome 4
You will learn the difference between Positive and Negative, Lookahead and Lookbehinds in Regex
Learning Outcome 5
Use Regular Expressions to fix and manipulate US and UK Dates
Skills You'll Develop
This comprehensive Taming REGEX - A Complete Guide to Regular Expressions curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Course Requirements & Target Audience
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
Prerequisites & Requirements
What you need before starting this Taming REGEX - A Complete Guide to Regular Expressions course:
- A PC, Mac, Linux Machine.
- An internet connection.
- Familiarity with programming concepts.
- A willingness to stay the course and follow all the lectures to the end.
- No prior knowledge of Regular Expressions is required.
Who This Course Is For
This course is perfect for:
- Motivated learners at any level
- Self-paced students
- Anyone interested in the subject
This course might not be suitable if:
- • You're looking for a quick tutorial rather than comprehensive learning
- • You prefer learning without structured curriculum
- • You need highly specialized or niche content
Course Information & Details
Everything you need to know about this online course, from duration to certification
Course Instructor
Paul Ogier
Expert instructor with industry experience
Course Language
English
All materials in English
Start Your Learning Journey Today
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Course Enrollment
Comprehensive Program
Professional training from $189.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
What's Included
- 6 hours on-demand video
- 1 downloadable resource
- 2 articles
- Access on mobile and TV
- Certificate of Completion
- Full lifetime access
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
- ✓Instant access after enrollment
- ✓Learn at your own pace
- ✓Direct enrollment with Udemy
Where this course fits
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Concepts behind this area
Retrieval-Augmented Generation
Retrieval-augmented generation is a pattern that searches a body of documents when a question arrives and places the passages it finds into the model's prompt, so the answer is drawn from those sources rather than from training alone.
Natural Language Processing
Natural language processing is the area of AI that makes human language readable and writable by machine: sorting text into categories, pulling structured facts out of it, translating it, generating it and measuring whether any of that came out right.
Computer Vision
Computer vision is the branch of artificial intelligence that turns images and video into structured answers: what is in the frame, where it sits, which pixels belong to it, and where it moves next.
Data Engineering
Data engineering is the discipline of moving records from the systems that produce them into a store where they can be queried, and of keeping that supply correct while the sources underneath keep changing.
SQL
SQL is the declarative language for asking questions of relational databases: you state which rows and columns you want and how tables relate, and the database engine works out how to retrieve them.
Data Analysis
Data analysis is the practice of interrogating data to answer a specific question, and of establishing how much weight the answer can bear.
The field, explained: Artificial Intelligence & Machine Learning · Data & Analytics
Wider context: the fields we cover, the glossary and certification exams, all written by us rather than pulled from a provider feed.
