Back in 2012, CoursÂera startÂed offerÂing MOOCS (MasÂsive Open Online CoursÂes) to the world at large. And they’ve since amassed some 28 milÂlion regÂisÂtered users, a catÂaÂlogue of 2,000 coursÂes, and reams of data about what peoÂple want to learn. In the wanÂing days of DecemÂber, CoursÂera pubÂlished a list of their 1o most popÂuÂlar coursÂes of 2017. (Find below, and enroll in any of these coursÂes for free.) From this list, it drew some largÂer conÂcluÂsions about trends in eduÂcaÂtion and techÂnolÂoÂgy.
The list shows, writes Nikhil SinÂha, CoursÂerÂa’s Chief ConÂtent OffiÂcer, that “cutÂting-edge tech skills conÂtinÂue to be the most sought after in online eduÂcaÂtion.” ArtiÂfiÂcial intelligence–encompassing Machine LearnÂing, NeurÂal NetÂworks and Deep LearnÂing–topped the list of coursÂes. MeanÂwhile “Blockchain has also burst onto the scene, putting Princeton’s BitÂcoin and CrypÂtocurÂrenÂcy course at numÂber five on the list.” But, SinÂha adds, it’s “not just techÂnolÂoÂgy skills that are trendÂing.” The “basic learnÂing and inforÂmaÂtion-retenÂtion skills taught in our popÂuÂlar LearnÂing How to Learn course are extremeÂly sought-after by peoÂple of all ages.” The same applies to the probÂlem-solvÂing skills taught by StanÂford’s IntroÂducÂtion to MathÂeÂmatÂiÂcal ThinkÂing.
You can review the Top 10 list below, and enroll in any of those regÂuÂlarÂly-offered coursÂes.
- Machine LearnÂing: A primer from StanÂford UniÂverÂsiÂty on getÂting comÂputÂers to act withÂout being explicÂitÂly proÂgrammed.
- NeurÂal NetÂworks and Deep LearnÂing: BuildÂing on the course above, this course will teach you to feed a comÂputÂer sysÂtem a lot of data, which it can then use to make deciÂsions about othÂer data.
- LearnÂing How to Learn: PowÂerÂful MenÂtal Tools to Help You MasÂter Tough SubÂjects: The most popÂuÂlar MOOC ever, this course develÂoped by Dr. BarÂbara OakÂley gives you access to the invaluÂable learnÂing techÂniques used by experts in art, music, litÂerÂaÂture, math, sciÂence, sports, and many othÂer disÂciÂplines.
- IntroÂducÂtion to MathÂeÂmatÂiÂcal ThinkÂing: StanÂford UniÂverÂsiÂty will teach you a style of thinkÂing that will help you think outÂside the box and solve real probÂlems in the everyÂday world.
- BitÂcoin and CrypÂtocurÂrenÂcy TechÂnoloÂgies: From PrinceÂton UniÂverÂsiÂty comes a course that explains what is speÂcial about BitÂcoin, and how it works at a techÂniÂcal levÂel.
- ProÂgramÂming for EveryÂbody (GetÂting StartÂed with Python): The UniÂverÂsiÂty of MichiÂgan offers a course everyÂone should take–a primer on the basics of proÂgramÂming comÂputÂers, using Python.
- AlgoÂrithms, Part I: PrinceÂton’s course covÂers “essenÂtial inforÂmaÂtion that every seriÂous proÂgramÂmer needs to know about algoÂrithms and data strucÂtures, with emphaÂsis on appliÂcaÂtions and sciÂenÂtifÂic perÂforÂmance analyÂsis of Java impleÂmenÂtaÂtions.”
- EngÂlish for Career DevelÂopÂment: CreÂatÂed by the UniÂverÂsiÂty of PennÂsylÂvaÂnia, this course is for non-native EngÂlish speakÂers “interÂestÂed in advancÂing their careers in the globÂal marÂketÂplace.” Along the way, you’ll learn about the job search, appliÂcaÂtion, and interÂview process in the U.S., and also explore your own globÂal career path.
- NeurÂal NetÂworks for Machine LearnÂing: The UniÂverÂsiÂty of ToronÂto gives you the chance to “learn about artiÂfiÂcial neurÂal netÂworks and how they’re being used for machine learnÂing, as applied to speech and object recogÂniÂtion, image segÂmenÂtaÂtion, modÂelÂing lanÂguage and human motion, etc.”
- FinanÂcial MarÂkets: CreÂatÂed by Yale’s Robert Shiller (winÂner of the Nobel Prize in EcoÂnomÂics), this course offers an overview of the finanÂcial marÂkets, which allow human sociÂety to manÂage risks and fosÂter enterÂprise. It includes an introÂducÂtion to risk manÂageÂment and behavÂioral finance prinÂciÂples underÂlyÂing the secuÂriÂties, insurÂance, and bankÂing indusÂtries.
Note: Open CulÂture has a partÂnerÂship with CoursÂera. If readÂers enroll in cerÂtain CoursÂera coursÂes, it helps supÂport Open CulÂture.
RelatÂed ConÂtent:
LearnÂing How to Learn: The Most PopÂuÂlar MOOC of All Time
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