Regular expressions are a powerful tool for pattern matching and text manipulation. As such, obtaining a solid understanding of regular expressions can greatly enhance one’s ability to work with text-based data. While there are several resources available for learning regular expressions, online courses have become a popular option due to their flexibility and accessibility. In this article, we will explore some of the best regular expressions courses available online, highlighting their key features and benefits.
Here’s a look at the Best Regular Expressions Courses and Certifications Online and what they have to offer for you!
10 Best Regular Expressions Courses and Certifications Online
- 10 Best Regular Expressions Courses and Certifications Online
- 1. Hands on Python3 Regular Expressions for Absolute Beginners by Adithya U Bhat (Udemy) (Our Best Pick)
- 2. Complete Regular Expressions Bootcamp – Go from Zero to Hero by Mudassar Naseem (Udemy)
- 3. The Complete Regular Expressions(Regex) Course For Beginners by Sujith George (Udemy)
- 4. Regular Expressions for Beginners and Beyond! With Exercises by Bonnie Schulkin (Udemy)
- 5. The Complete Regular Expressions Universe (Master Course) by Sandeep Kumar (Udemy)
- 6. The Complete Regular Expressions Course with Exercises 2020 by Jazeb Akram (Udemy)
- 7. Regular Expressions for Beginners – Universal by Edwin Diaz, Coding Faculty Solutions (Udemy)
- 8. Pattern Detection with Python Regular Expressions (Regex) by Chandra Lingam (Udemy)
- 10. Master Python Regular Expressions by CSxFUNDA TECH (Udemy)
1. Hands on Python3 Regular Expressions for Absolute Beginners by Adithya U Bhat (Udemy) (Our Best Pick)
Course Title: Hands on Python3 Regular Expressions for Absolute Beginners
Course Instructors: Adithya U Bhat
Course Short Description: This course aims to enhance the freelancing career of the learners by providing them with the skills to perform phone scraping, email scraping, and pattern matching using Python. Upon completion of the course, learners can earn a six-figure salary using Python.
Course Long Description: This course provides a comprehensive understanding of regular expressions, external modules, and data scraping using Python. The course covers various types of pattern matching, including the use of dollar, caret, plus, and question mark symbols, as well as VERBOSE and IGNORECASE functions. Learners will also gain knowledge of third-party modules such as pyperclip and the built-in module, re. The course is designed to provide learners with skills to scrape email and phone numbers effectively. Additionally, learners will learn some basics about Python, making it a suitable bootcamp for absolute beginners.
Python regular expression, the most significant and useful module in Python, is the primary focus of this course.
The course is structured to simplify complex topics such as Assertions, Lookaround lookahead, and Lookbehind, making it easy for everyone to comprehend using practical examples. Regardless of whether you’re a student or an office worker, you can learn the skill within a day or few days depending on your schedule.
The course aims to teach Regular Expressions efficiently and fast by focusing on the philosophy and logic behind regex instead of only copying the regex code. The content of the course is divided into several sections, including Introduction, Regular Expressions Basics I & II, Character Sets, Repetition with Quantifiers, Anchors and Boundaries, Groups and Backreferencing, Assertions – Lookaround, Regex for Numbers and Numeric Ranges, and Regex Problem Solving Techniques with Examples.
The course addresses the difficulty of grasping and teaching Regular Expressions, emphasizing the importance of mastering the core concepts. The instructor notes that many free YouTube videos on the topic fail to focus on the basics. The course material has been meticulously planned, with graphical illustrations and hands-on sessions to ensure that the concepts stick.
The instructor teaches Regular Expressions using the POSIX standard, which is followed by all regex engines. This allows students to apply the techniques to any programming language of their choice, including Notepad++. The course also includes hands-on sessions for all 30 exercises, even for those unfamiliar with the programming language.
The instructor’s voice narration is deliberately slow to aid comprehension, but students can adjust the playback speed as needed. The course also features hand-scripted, accurate subtitles, with timings checked for precision.
The course is divided into sections, including Building a Foundation, Regex: The Basic Set, Regex: The Extended Set, Regex: Find and Replace with Capture Groups, Regex: Challenges, and Wrap up.
This course, titled “Regular Expressions for Beginners and Beyond! With Exercises,” is taught by Bonnie Schulkin and aims to introduce or expand upon regular expression (regex) fundamentals. Regular expressions are often viewed as difficult to understand, but the course provides tools and a systematic approach to unlock their power and write elegant code. The course covers basic to advanced concepts, including quantifiers, character collections (including negation), character ranges, string boundaries, character classes, flags, greedy vs. lazy quantifiers, capturing groups, substitution/replace, and lookahead/lookbehind.
The course uses regex101 (with permission of the author) to show how regular expressions match test strings, as well as slides that break down each regular expression example and explain each piece. The course encourages questions and discussion using Udemy’s Q&A feature. The course is broken down into sections, beginning with an introduction and progressing through explicit characters and quantifiers, collections and character ranges, whitespace characters and string boundaries, character classes, flags, greedy vs. lazy quantifiers, multi-character strings, capture groups, substitution/replace, and finally, lookarounds.
The course is taught by an experienced instructor with over 15 years of teaching experience and 5 years of experience on Regular Expressions(REGEX). The content is clear, precise, and presented in a way that provides maximum output. The course offers in-depth knowledge of Regular Expression(REGEX) and assumes no prior knowledge. It teaches the subject from scratch to an advanced level.
Upon enrollment, students get lifetime access to the course, all future updates, and a certificate of completion. The course comes with a 30-day money-back guarantee, and the instructor personally answers all questions and doubts.
The course covers the literal characters, character ranges, meta characters, anchors and word boundary, quantifiers, groups in Regular Expression, assertions, and a project. The content is structured to create a strong foundation for Regex, analyze Regular Expressions, and cover all special characters in detail.
The Complete Regular Expressions Course with Exercises 2020 is a course that teaches learners how to use regular expressions effectively to work with relevant data. Regular expressions (RE) act like filters, which can save time, reduce coding work, and increase productivity. This course is designed for back-end developers and data scientists who need to work with data from various sources.
Throughout the course, learners will cover the basics of regular expressions, as well as advanced topics like group capturing, back-references, and assertions of all types. The course also includes exercises and projects that cover regular expressions for names, email, website URLs, IP addresses, dates, times, postal codes, and credit card numbers.
The course is suitable for complete beginners and those who have some knowledge of regular expressions. The course is structured into different sections, including establishing the environment, all about characters, quantifiers and repetitions, groups, advanced topics in groups, assertions, projects, and last.
By the end of the course, learners will have gained a valuable skill set that can quickly take their skill level to the top. With regular expressions, learners can work with text more easily and better than anyone else. The course is suitable for anyone who wants to learn regular expressions or take their skills to the next level. Learners can preview the course before enrolling.
The Regular Expressions for Beginners – Universal Course, instructed by Edwin Diaz of Coding Faculty Solutions, provides an easy way to learn how to use Regular Expressions (Regex) in all programming languages and tools. The course covers the core fundamentals of Regex, which are applicable in most, if not all, regular expression engines. While there may be some differences when implementing regular expressions in different engines, the course ensures that the core functionality and implementation of regular expressions remain consistent across languages.
The course structure starts with the most basic regular expression functionality, such as searching and matching, and gradually introduces more complex operations and real-world solutions. The lectures are designed to be short and easy to digest, and each section is followed by practice code to reinforce the material covered.
The course is suitable for new developers looking to learn regular expressions, as well as frustrated developers who may have had issues learning it before. Additionally, any developer who is serious about their programming career can benefit from this course.
Overall, the Regular Expressions for Beginners – Universal Course provides a comprehensive introduction to regular expressions that is useful for beginners and experienced developers alike.
The Pattern Detection with Python Regular Expressions (Regex) course is designed to teach participants how to detect patterns in data, verify input, improve security, and clean up data. The course is project-driven and can be completed in a few hours, providing precise and practical information that can be immediately applied to projects. The instructor for the course is Chandra Lingam, who introduces the typical uses of regular expressions, such as pattern detection, data preparation, and input validation.
The course covers various applications of regular expressions, including implementing a client-side check for input validation and verifying data payloads in a microservice. It also explores how several cloud services use regular expressions for advanced configuration, such as the AWS web application firewall, Google Workspace, and Google Analytics. The course curriculum includes a cheat-sheet for the regex language and an interactive regex tool to write patterns. Participants will also learn how to incorporate regex in their HTML input types for validation and write optimal patterns.
The course is divided into several sections, including Introduction, Python Regex Features, Python Regex Language, Python Regex Engine, Python Regex Performance, and four hands-on projects. Participants will learn how to apply regex for unstructured log data, IoT sensor data, and parsing medical test data in HTML format. The course also provides prompt support through the course Q&A forum and private messaging.
In conclusion, The Pattern Detection with Python Regular Expressions (Regex) course is a comprehensive tool to learn how to detect patterns in data, verify input, improve security, and clean up data. The course provides practical information that can be immediately applied to projects, and the instructor provides prompt support for participants.
The course comprises nine sections, 55 different lectures, over 5 hours of video tutorials, 5 exercises, 5 quizzes, and 10 application lectures. The extensive content covered in the course ensures participants have a comprehensive understanding of regular expressions and can effectively use them in their coding work.
The course covers various topics, including introduction, getting started with regular expressions, specifying characters in regular expressions, working with character sets, using repetition in regular expressions, using anchored expressions, working with alternates and groups, working with Unicode, and applying regular expressions. The course concludes with a summary of the essential concepts.
The Master Python Regular Expressions Course offered by CSxFUNDA TECH aims to teach learners how to work with regular expressions in Python from scratch. The course includes numerous examples, 4 real-world case studies, and a project to help learners understand the concepts of regular expressions with ease.
The course is divided into three parts. Part I covers the basics of regular expressions, including the RE module, functions, groups, special characters, matching repetitions, greedy and non-greedy matching, character classes, back references, and look-ahead and look-behind assertions.
Part II consists of four case studies, each with exercises to help learners write regular expressions for different types of text data. The case studies cover URLs, dates, numbers, and email IDs.
Part III is a project where learners can apply their knowledge of regular expressions to build a simple password checker. The course also includes bonus material.
Overall, the Master Python Regular Expressions Course is designed to provide learners with a comprehensive understanding of regular expressions in Python, enabling them to work with text data proficiently.