Login Watch: Catch the Break-In Attempt
Load a stream of login attempts and write the queries that catch a brute-force attack in progress: too many failures, from one place, in too little time.
What you'll be able to build
Load a stream of login attempts and write the queries that catch a brute-force attack in progress: too many failures, from one place, in too little time. Along the way you pick up real, transferable R skills, not just this one project:
- data.frame filtering on failed attempts
- table() and aggregate() to tally by account
- flagging counts above a threshold
- ordering results with order()
- subsetting rows with a logical mask
- a stakeholder-ready incident report
A course like this one
Yours is built from your own placement, so module count and depth will differ. This map shows what a beginner-level R learner building Login Watch actually gets.
- Module 1: Vectors, values, and the shape of R6 lessons
Builds the vector for your Login Watch.
- Module 2: Data frames, factors, and tidy shapes6 lessons
Builds the apply pipeline workflow for your Login Watch.
- Module 3: Control flow and predicting vectorized output6 lessons
Builds the data frame that powers your Login Watch.
- Module 4: Functions, the apply family, and debugging6 lessons
Builds the reusable factor for your Login Watch.
- Module 5: Designing a statistical pipeline6 lessons
Builds the simulation for your Login Watch.
- Module 6: Shipping a reproducible analysis3 lessons
Builds the summary table for your Login Watch.
How the lessons actually work
Every lesson has you predict what a piece of R code will output before you run it, then run it for real in your browser and fix what you got wrong. Each module ends in a challenge gate with hidden tests, so you can't advance until your code actually works. The course closes with a capstone that assembles everything into Login Watch, and a runnable proof page tied to your own code.
Common questions
How long does the Login Watch: Catch the Break-In Attempt course take?
about 8.5 hours, across 6 modules and 33 lessons, at roughly 15 minutes per lesson. Your own course may run shorter or longer, since it's sized to your placement result, not a fixed template.
Do I need experience?
No. This is a beginner-tier R project, built for someone writing their first real R programs.
How much does it cost?
$15 one-time, no subscription. The first module is free, so you can see exactly how the course teaches before you pay for the rest.