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How It Works

Apply

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

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.

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.

Teach and Earn

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

We Help You Succeed

Course Delivery

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

Mentoring and Support

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

Pulse of the Market

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

Featured Instructors

Dr. Ann E.K. Um

Dr. Um is a statistician, with an MA from Stanford, a masters and a doctoral degree from Columbia. She was Data Science Manager at Harvard Medical School, Brigham and Women’s Hospital. She is the President and CEO at AMSTAT Consulting. She has over 20 years of experience working in and with the healthcare analytics industry.

Alan Yang

Dr. Alan Yang is a Lecturer in the Discipline of International and Public Affairs at the School of International and Public Affairs (SIPA), Columbia University. He received his PhD in Political Science at Columbia University (2003) and has more than a dozen years of experience teaching courses in Introductory Statistics, Econometrics, and Quantitative Methods in Program Evaluation at SIPA. His research has appeared in edited volumes and journals such as Public Opinion Quarterly, Political Science Quarterly, and Social Science Quarterly. He also does statistical consulting work for non-profit, NGO, and academic organizations. He and his co-author, Rodolfo de la Garza, are currently at work on a manuscript (Americanizing Latino Politics) under contract with Routledge on Latino politics in the U.S. to be published in Fall 2017.

Jiang Zhou

Jiang Zhou, Ph.D., has two decades of experience building predictive analytics solutions across industries including telecommunication, banking, insurance and smart city. These solutions have resulted in over $200 million in savings for clients. He is a Member of Industrial Advisory Board at University of Massachusetts Boston and the Chief Data Scientist at 慧信(Smart Credit). Previously, he was the chief statistician at Lightbridge, Inc., a vice president at Citizens Bank and a consulting member of technical staff at Oracle Inc. Dr. Zhou has been involved in 3 head to head competitions to build the best predictive models, i.e., a customer credit risk model for a top 3 cell phone company, a bank card fraud detection model for a top 15 bank, and a direct sales model for a marketing company. Dr. Zhou's models have won all 3 competitions. In addition to his technical skills, he is, as one of his clients put it, "a great trainer, and a good presenter of theoretical data mining concepts so that they can be understood by most". He is the author of the blog www.deep-data-mining.com that is regarded as one of the best on data analytics and data mining. Dr. Zhou is the primary author of an award-wining scientific paper, "Using genetic learning artificial neural networks for spatial decision making in GIS" (Nov., 1996, PE & RS). His recent article , Use Big Data and Artificial Intelligence to Rationally Evaluate the Characteristic Town, is published on influential "Economic Information Daily" (in Chinese) .