The Regular Expressions with Python Certified Course is designed to help learners master the art of text processing, pattern matching, and data extraction using Python’s module. This course covers everything from the basics of regular expressions to advanced pattern-building techniques, enabling participants to efficiently handle complex string operations and automate repetitive text-based tasks. Learners will explore how to identify patterns, validate data, parse logs, clean data, and extract useful information from unstructured text.
By the end of the course, you’ll be proficient in writing, testing, and optimizing regular expressions to enhance your Python programming skills and apply them in data cleaning, web scraping, and text analytics projects. This course is ideal for developers, data analysts, and automation testers looking to strengthen their data-handling capabilities.
Module 1: Introduction to Regular Expressions Overview of Regular Expressions and their importance Basic syntax, meta-characters, and literals Installing and setting up Python environment Introduction to the module.
Module 2: Pattern Matching Basics Using  functions Working with special sequences and boundaries Hands-on examples of simple text matches.
Module 3: Character Classes and Quantifiers Defining character sets and ranges Quantifiers Greedy vs. non-greedy matching Building flexible patterns for real-world data
Module 4: Grouping and Capturing Capturing groups and backreferences Named groups and non-capturing groups Extracting matched groups with Nested and multiple grouping patterns.
Module 5: Substitution and Splitting replacement Splitting strings with regex patterns Data sanitization and text formatting Case conversion and cleanup tasks.
Module 6: Advanced Regex Concepts Lookahead and Lookbehind assertions Conditional matching and atomic grouping Multi-line and dot-all modes Handling complex text and multi-line data.
Module 7: File and Log Data Processing Reading and parsing text files using regex xtracting useful data from system logs Filtering structured text data Automating report generation.
Module 8: Regex with Web and Data Applications Using regex with BeautifulSoup and Requests for web scraping Extracting information from HTML, XML, and JSON data Combining regex with pandas for text cleaning Data extraction from APIs and CSV files.
Module 9: Performance and Debugging Techniques Optimizing regex patterns for speed and readability Avoiding catastrophic backtracking Using online regex testers and IDE plugins Best practices for maintainable regex scripts.
Module 10: Real-World Projects and Case Studies Email, URL, and phone number validation project Log file analysis and data extraction project Web scraping and text mining mini-project Final assessment and certification test.
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Email: coursedivine@gmail.com
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