Few things can prompt an existential crisis faster than the beginning of a new school semester in which you’re not enrolled. As underclassmen scurry to and from class with dense textbooks and an enviable sense of optimism about their chosen career paths, you might begin to wonder: Would I be earning more money if I’d gone with my backup major? Should I go get my Master’s degree? Will all of these smart youths put me out of work upon graduation? Do I have to admit that my parents were right in telling me that this art degree would be useless?
Fortunately, learning how to code and/or better analyze numbers and statistics can give you a big leg up in today’s job market. Even if you’re not a wide-eyed grad with a fancy degree, employers typically place a higher value on workers with programming skills.
This applies to jobs in all sorts of fields, by the way — not just those in the IT industry. According to one analysis, half of all job openings for positions that require programming skills are in non-technology sectors like finance, manufacturing, and health care.
“The job market for programming skills goes far beyond IT and programming, and job seekers with these in-demand skills will have improved job prospects in a changing economy,” the study’s authors wrote, noting that jobs requiring coding skills were found to pay $22,000 more annually than jobs that didn’t.
Increasing your desirability as an employee is one good reason to check out the six online data science and coding courses from Udemy that are featured in the PCMag Shop. As for the other reason: They’re all on sale right now for just $10 apiece.
Take your pick from any of the following programs:
The Data Science Course 2019: Complete Data Science Bootcamp (a $199.99 value)
This comprehensive class will give you a solid overview of data visualization, machine learning, and statistical analysis techniques and tools across more than 20 hours of on-demand video lessons and 70 informative articles. No prior experience is necessary, though you’ll need to install the Python and R distribution platform Anaconda to get started.
Complete Python Bootcamp: Go from zero to hero in Python 3 (a $194.99 value)
Python is one of the most popular and fastest-growing general purpose programming languages as of late, and this straightforward class will teach you how to use it like a pro throughout 24 hours of video tutorials that’ll have you making games and creating apps.
Python for Data Science and Machine Learning Bootcamp (a $194.99 value)
Designed for novice and expert programmers alike, this 22.5-hour class takes a deeper look into the applications of data visulaization and machine learning with Python. Some coding experience is required.
Tableau 10 A-Z: Hands-On Tableau Training For Data Science! (a $199.99 value)
Tableau is the go-to tool for data visualization nowadays, and this course will teach you the ins and outs of using it for data presentation and analysis across more than 7 hours of video learning. All you need is a basic knowledge of computers; your Udemy instructor will take things from there.
R Programming A-Z: R For Data Science With Real Exercises! (a $199.99 value)
Geared toward statistical analysis, R is another popular programming language that every aspiring data scientist or wannabe coder should know. This 10.5-hour class will help you overcome its notoriously steep learning curve with step-by-step lessons on working with vectors and variables; no prior experience is necessary.
Machine Learning A-Z™: Hands-On Python and R In Data Science (a $199.99 value)
If all those mentions of machine learning left your head spinning, this is the class for you: It was designed by two professional data scientists to get students up to speed on core machine learning concepts using high school-level math as a jumping-off point.
Note: Access to classes is sent via email within two hours of enrollment; check your Spam and Trash folders if you don’t see it in your inbox within that time frame.
Post by Rudie Obias of the Mashable Deals team; originally appeared on Mashable.com.
Credit: Google News