We may earn an affiliate commission when you visit our partners.
Course image
Ahmad Varasteh

By the end of this project you will learn what is regular expressions and how it works. during this project we are going to learn about basic to advanced concepts of regex by formatting phone numbers, email addresses and URLs. after that we will learn how to use regular expressions for data cleaning. and finally in the final task we are going to work with a dataset consists of daily personal notes, and we are going to use RegEx to pull out useful information out of our raw text data.

Enroll now

What's inside

Syllabus

Extract Text Data with Python and Regex
By the end of this project you will learn what is regular expression and how it works. during this project we are going to learn about basic to advanced concepts of regex by formatting phone numbers, email addresses and URLs. after that we will learn how to use regular expressions for data cleaning. and finally in the final task we are going to work with a dataset consists of daily personal notes, and we are going to use RegEx to pull out useful information out of our raw text data.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces learners to the fundamentals of regular expressions, which are essential for text data extraction and manipulation
Emphasizes hands-on practice with practical examples and exercises, allowing learners to apply their understanding
Covers essential topics such as formatting phone numbers, email addresses, and URLs, equipping learners with industry-relevant skills
Provides guidance on data cleaning techniques using regular expressions, enhancing learners' ability to prepare data for analysis
Culminates in a capstone project involving extracting meaningful information from personal notes, demonstrating real-world applications of regular expressions
Led by an experienced instructor, Ahmad Varasteh, who provides valuable insights and guidance throughout the learning journey

Save this course

Save Extract Text Data with Python and Regex to your list so you can find it easily later:
Save

Reviews summary

Practical python and regex course

Learners say this short, practical course is very useful for getting essential Python and RegEx skills without spending a lot of time.
Learners praise this course's efficiency.
"Quite short. but you'll get essential skills without spending a lot of time so it's really nice i guess."
"This "short" course added more value to my skillset than many long courses here."
Many learners enjoy this course.
"amazing course!"
"course content is very useful"
"Very helpful and glad I did it"
There was an issue with accessing materials for one learner.
"I couldn't access the material."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Extract Text Data with Python and Regex with these activities:
Seek Guidance from Experienced Regex Users
Accelerate your learning by connecting with experts in the field.
Browse courses on Regex
Show steps
  • Attend regex workshops or meetups.
  • Join online communities and engage with experienced regex users.
  • Reach out to individuals who have made significant contributions to the field.
Complete the Regex Tutorial on Regular-Expressions.info
Build a solid foundation in regular expressions by following a comprehensive tutorial.
Browse courses on Regex
Show steps
  • Start at the beginning of the tutorial and work your way through all the lessons.
  • Take the quizzes at the end of each lesson to test your understanding.
  • Experiment with the regular expression tester to apply your newfound knowledge.
Read 'Mastering Regular Expressions 3rd Edition' by Jeffrey E. F. Friedl
Become familiar with the fundamentals of regular expressions and their applications in data analysis and text processing.
Show steps
  • Read the first three chapters of the book to gain a foundational understanding of regular expressions.
  • Complete the exercises at the end of each chapter to practice using regular expressions.
  • Apply your knowledge to a personal project, such as parsing data from a website or cleaning up a text file.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Regex Crossword Puzzles
Develop your pattern recognition and problem-solving skills by solving regex crossword puzzles.
Browse courses on Regex
Show steps
  • Visit the Regex Crossword website and select a puzzle to solve.
  • Study the clues and use your knowledge of regular expressions to fill in the grid.
  • Check your answers and learn from your mistakes.
Answer Questions in Regex Forums
Help others learn about regular expressions by answering their questions in online forums.
Browse courses on Regex
Show steps
  • Join a regex forum and browse through the questions.
  • Identify questions that you can answer confidently.
  • Provide clear and helpful answers, explaining your reasoning and providing examples.
Build a Python Script to Extract Data from a Website
Apply your regular expression skills to extract valuable data from websites.
Browse courses on Regex
Show steps
  • Identify a website with data you want to extract.
  • Use regular expressions to write a Python script that extracts the data.
  • Test your script to ensure it accurately extracts the desired data.
Write a Blog Post on a Regex Topic
Enhance your understanding of regular expressions by explaining them to others.
Browse courses on Regex
Show steps
  • Choose a specific regex topic that you are comfortable with.
  • Write a blog post that clearly explains the topic, including examples and use cases.
  • Share your blog post with others and encourage feedback.
Contribute to an Open-Source Regex Library
Gain practical experience and deepen your understanding by contributing to the regex community.
Browse courses on Regex
Show steps
  • Identify an open-source regex library that you want to contribute to.
  • Review the library's documentation and codebase.
  • Propose and develop a new feature or improvement.

Career center

Learners who complete Extract Text Data with Python and Regex will develop knowledge and skills that may be useful to these careers:
Software Engineer
As a Software Engineer, Extract Text Data with Python and Regex strengthens your ability to work with data within software applications. By leveraging Python's capabilities and regular expressions, you can effectively extract, transform, and validate data, ensuring the integrity and accuracy of your software systems.
Research Scientist
In the field of Research Science, Extract Text Data with Python and Regex equips you with the skills to extract and analyze data from various sources, including scientific literature, experimental data, and online databases. This knowledge empowers you to conduct thorough research, derive meaningful insights, and contribute to the advancement of scientific understanding.
Machine Learning Engineer
As a Machine Learning Engineer, Extract Text Data with Python and Regex equips you with the skills to ingest, preprocess, and extract valuable information from diverse data sources. This knowledge enables you to build robust machine learning models that leverage structured and unstructured data, enhancing the accuracy and efficiency of your algorithms.
Quantitative Analyst
In the realm of Quantitative Analysis, Extract Text Data with Python and Regex empowers you to derive meaningful insights from structured and unstructured data. By mastering regular expressions and Python's data handling capabilities, you can uncover hidden patterns and trends, enabling you to make data-driven decisions and support informed investment strategies.
Data Engineer
As a Data Engineer, you will harness your acquired skills in Extract Text Data with Python and Regex to build, maintain, and enhance data pipelines. This course provides a solid foundation in data transformation and extraction techniques, preparing you to design efficient data pipelines that ensure data integrity and reliability.
Information Analyst
Extract Text Data with Python and Regex can help develop skills necessary for success as an Information Analyst, as this role requires the ability to identify patterns and extract relevant data from various sources. Using Python and RegEx enables the efficient retrieval of meaningful information, helping Information Analysts extract valuable insights and make well-informed decisions.
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make better decisions. They use their knowledge of statistics and data analysis tools to identify trends and patterns. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data and use regular expressions to find patterns. This can help Data Analysts improve the accuracy and efficiency of their work, enabling them to make better recommendations and solve more problems.
Software Developer
Software Developers design, develop, and test software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data, identify patterns, and find inconsistencies. This can help Software Developers improve the accuracy and efficiency of their work, enabling them to create better software applications.
Data Scientist
Data Scientists collect, analyze, and interpret data to discover trends and patterns. They use this information to solve problems and make predictions. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data and use regular expressions to find patterns. This can help Data Scientists improve the accuracy and efficiency of their work, enabling them to make better predictions and solve more problems.
Security Analyst
Security Analysts identify and mitigate security risks. They use their knowledge of security best practices and tools to protect organizations from threats. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data, identify patterns, and find inconsistencies. This can help Security Analysts improve the accuracy and efficiency of their work, enabling them to better identify and mitigate security risks.
Database Administrator
Database Administrators design, implement, and maintain databases. They use their knowledge of database management systems to ensure that databases are reliable, efficient, and secure. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data, identify patterns, and find inconsistencies. This can help Database Administrators improve the accuracy and efficiency of their work, enabling them to better manage databases.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data, identify patterns, and find inconsistencies. This can help Information Security Analysts improve the accuracy and efficiency of their work, enabling them to better protect computer systems and networks from threats.
Forensic Scientist
Forensic Scientists collect and analyze evidence in order to solve crimes. They use their knowledge of science and technology to help law enforcement officials identify and catch criminals. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to work with complex data, identify patterns, and find inconsistencies. This can help Forensic Scientists improve the accuracy and efficiency of their work, enabling them to solve more crimes.
Intelligence Analyst
Intelligence Analysts preserve national security by finding patterns in data to protect information and assets, as well as forecast future risks. The Extract Text Data with Python and Regex course can help build a foundation for success in this career by teaching how to identify and work with complex data. This can help Intelligence Analysts increase the efficiency and accuracy of their work, enabling them to better protect data, assets, and national security in an increasingly data-driven world.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Extract Text Data with Python and Regex.
Comprehensive guide to regular expressions, with a focus on practical applications. It provides detailed explanations of regular expression syntax and semantics, along with numerous examples and exercises. This book would be an excellent reference for anyone who wants to learn more about regular expressions.
Is an in-depth guide to regular expressions, covering both the theoretical foundations and practical applications. It provides a thorough understanding of how regular expressions work and how to use them effectively. This book valuable resource for anyone who wants to master regular expressions.
Comprehensive guide to natural language processing in Python. It covers all aspects of natural language processing, from basic tasks to advanced topics. This book valuable resource for anyone who wants to learn more about natural language processing.
Comprehensive guide to data mining. It covers all aspects of data mining, from data preparation to data mining algorithms. This book valuable resource for anyone who wants to learn more about data mining.
Comprehensive guide to machine learning in Python. It covers all aspects of machine learning, from data preparation to machine learning algorithms. This book valuable resource for anyone who wants to learn more about machine learning in Python.
Comprehensive guide to deep learning in Python. It covers all aspects of deep learning, from basic concepts to advanced topics. This book valuable resource for anyone who wants to learn more about deep learning in Python.
Comprehensive reference to the Python programming language. It covers all aspects of Python, from basic syntax to advanced topics. This book valuable resource for anyone who wants to learn more about Python.
Gentle introduction to machine learning. It covers the basics of machine learning, along with numerous examples and exercises. This book valuable resource for anyone who wants to learn more about machine learning.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Extract Text Data with Python and Regex.
Windows PowerShell and Regular Expressions
Most relevant
Mastering Regular Expressions in JavaScript
Most relevant
.NET Regular Expressions
Most relevant
Where, Why, and How of Lambda Functions in Python
Most relevant
String Manipulation and Regex in C# 10
Most relevant
Strings and Regular Expressions in JavaScript
Most relevant
Introduction to Regular Expressions in SQL
Most relevant
Regular Expressions for the Cloud Engineer Deep Dive
Most relevant
Use Python Regular Expressions to Process File Data
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser