How It Works

1

Apply

If you possess deep expertise that would be useful to data scientists, engineers or executives, apply to join our training platform.

Apply to become an instructor
2

Propose

Propose a course within an existing track or propose a new track altogether. There is an interest in a wide range of courses--from methodology and big picture thinking to programming languages and databases.

Propose a course
3

Create

Experfy Training platform provides tools to help you organize your course. We also provide free video editing assistance once your course has been approved.

Create your course
4

Teach and Earn

Experfy delivers your course to people around the globe, while you earn top dollars for your expertise.

Teach and earn

We Help You Succeed

Course delivery

Course Delivery

We handle all the hosting, billing and customer service so you may focus on teaching.

Mentoring and support

Mentoring and Support

Our course mentors help you understand the course creation processes and also help you with video editing.

Pulse of the market

Pulse of the Market

Experfy also runs a successful marketplace where you can find consulting opportunities and ideas for your courses.

Featured Instructors

Saed Sayad
Saed Sayad

Instructor is a pioneer researcher in real time data mining, the inventor of Real Time Learning Machine (RTLM), an adjunct Professor at the University of Toronto, and has been presenting a popular graduate data mining course since 2001. He has more than 20 years of experience in data mining, statistics and artificial intelligence and designed, developed and deployed many business and scientific applications of predictive modeling.

Dr. Stephen Huff
Dr. Stephen Huff

Is currently employed as a consulting scientist, advising DHS Science and Technology programs regarding machine learning technology. He earned his Ph.D. (Bioinformatics) from the University of Houston. In addition to that, he has 3 Masters and a B.S.: an M.S. (Joint Professional Military Education) from Air Command and Staff College, M.S. (Management Information Systems) from Wright State University, M.S. (Biology) from University of Houston at Clear Lake, and a B.S. (Microbiology with Chemistry Minor) from University of Texas at Arlington.

Peter Chen
Peter Chen

Peter Chen is an analytics and data science professional that has an eclectic and deep background. He has previously worked in various senior positions at companies such as Algebraix Data, Petco, Mitchell International, Sempra Energy ,etc. He has been profiled in various media articles (“A Confession of a Data Miner”) about his analytics and data mining experience. He is widely published in industry trade magazines about analytics & data science. Peter received his BS in Management Science from the Massachusetts Institute of Technology/Sloan School of Management, his Masters in General Management from Harvard and is currently working on his second Masters in Software Engineering/Data Science at Harvard.

Dan Grijzenhout
Dan Grijzenhout

Is an online business and marketing Instructor with 9 published books. He has 35 years enterprise systems delivery experience including Internet, mobile/web & telecommunications large projects. He worked for large enterprises like: JP Morgan Chase; Air Canada & WestJet; Gateway; E&J Gallo Wines; TRW; USAF; Blue Cross & Blue Shield; 3M HIS; Nextel; Tong Yang Insurance; MCI; NYPD; and more.

Ready to Begin?