You can be!

Whether you need to extract data from log files, find and replace text using complex patterns, or build datasets from messy data sources, there's one tool that you need to know:

REGULAR EXPRESSIONS.

I know that regular expressions (also known as "regex") can be intimidating. It looks like a cryptic language composed of letters, numbers, dashes, dollar signs, backslashes, and other punctuation marks.

They are WAY too hard to learn... right?

You might as well just give up, and ask ChatGPT to write your regular expressions for you. (I mean, I'm SURE they will be correct.)

Or maybe... just maybe... there's a way to learn regular expressions that will actually make sense to you!

Imagine the benefits of being able to confidently write regular expressions:

• You can build your own datasets from unstructured text sources like raw log files, HTML pages, PDF documents, OCR-generated text, and more.

• You can clean and standardize your datasets faster.

• You can find and replace text using sophisticated patterns.

• You can extract more useful features for Machine Learning.

In short, you'll be a more versatile and valuable data scientist.

In this course, Become a Regex Superhero, we'll slowly build from the absolute basics of regular expressions all the way up to complex topics.

We'll take the time to practice everything we're learning, which will help to solidify each concept.

By the end of the course, you'll have gained a powerful skill that will significantly improve your ability to process and manipulate text data.

And the next time a (seemingly) impossible text processing problem arises, it will be YOUR turn to be the superhero!

This is the perfect course for you if:

• You're new to regular expressions

• You've written a few regular expressions, but you don't know if they're actually correct

• You know the basics of regular expressions, but you want to get dramatically better

• You have experience with regular expressions, but you want some extra practice

• Why learn regular expressions?

• Basic rules and principles

• Metacharacters

• Character classes

• Alternatives

• Anchors

• Greedy and lazy quantifiers

• Match groups

• Multi-line matching

• Option flags

• Searching with re.search

• Substitution with re.sub

• Splitting with re.split

• Searching for multiple matches with re.findall

• Improving performance with re.compile

• Writing readable regular expressions with re.VERBOSE

If all of this terminology is new to you, that's okay!

• 36 bite-sized video lessons
• 7 sets of practical exercises
• 6 detailed solution walkthroughs
• 6 real-world datasets
• 2 comprehensive reference notebooks
• Links to my recommended resources
• Certificate of completion at the end of the course
• Lifetime access to everything

Are you ready to extract useful data from log files, HTML pages, and OCR-generated text?

Are you ready to clean and standardize your data faster and more accurately, and build your own datasets from messy data sources?

Then you'll want to enroll in Become a Regex Superhero!

Sure, you could choose not to sign up. Maybe you'll make the time to learn it all on your own... but given the complexity of regular expressions, that can be challenging and time-consuming.

You could try to follow one of the many free resources out there, but honestly, I've never found one that teaches regular expressions in the same clear, thorough, and step-by-step manner as this course.

I know that in these uncertain times, it can be hard to invest in yourself.

But think about it: Your time is valuable, and if you learn just one technique that saves you time, then your investment will be worth it!

If you're ready to add regular expressions to your toolbox and become a more valuable Data Scientist, then click the button below to get instant access.

I'll see you in the course!

- Kevin