This online computer science training bundle is on sale for less than $40

Deal pricing and availability subject to change after time of publication.

TL;DR: This computer science training bundle, valued at $1,800, is on sale for $39.99 as of Nov. 23.

Whether you’re already in the field or are looking to make a total career change, this learning bundle will help you accomplish your goals when it comes to computer science. And for Black Friday, you can snag it for just under $40.

The 2022 Premium Computer Science Career Path Certification Bundle gives you access to nine courses and over 700 lessons that cover everything you need to know about passing the Python PCEP-30-01 and PCAP-31 certification exam, how to code, engineer, and much more. It kicks off with the basics and works toward more advanced concepts to get you ready for your certification exams. The goal of this course bundle is to prepare you to not just pass them, but ace them — thanks to a handful of expert instructors. You’ll learn from Dr. Chris Mall, who holds a Ph.D. in computer science, software development, and holds multiple information technology certifications, plus others including software engineer Edouard Renard, Java programmer, and full-time computer science instructor Lawrence Decamora III, and digital entrepreneur Juan Galvan.

From there, you’ll build your knowledge of hypothesis testing for data science and actually learn to code frameworks that’ll support your theories. Most of the courses are hands-on, so you’ll be programming and coding in no time. Since you’ll be learning by doing in most of these courses, you’ll gain knowledge that actually sticks with you in the long run. The rest of the courses cover SQL, modern JavaScript, and much, much more.

This computer science training bundle is valued at $1,800, since you get lifetime access to nine courses and over 700 lessons to learn at your own pace. But now, just in time for Black Friday, you can save over $1000 and sign up for just $39.99. That’s less than $5 per course. 

Man at computer reading binary numbers

Credit: Loonycorn