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.

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.

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.

4

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

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) .

Alessandro Russo

Tech entrepreneur with 15 years enterprise experience in Software Engineering across multiple sectors, including fashion, TLC, non profit, financial, media, fintech, adtech, SaaS, cloud, and supply chain. Alessandro is the Marketing Director @ E-ducare for Youth LTD. He also has an In depth experience working with large multinational (including fortune 100 and fortune 500) companies: Workday, FDCS, FBD, Version 1, Yellow Pages, and others. He's an Instructor with more than 10.000 students.

Paul Warren

Studied Computer Science at Stanford University and has more than 3 years of experience handling AI projects around the world.

Adela Muresan

Is a Technical Lead with a focus on Big Data and Machine Learning; she worked for large multinationals and small startups. She also has hands-on experience with a wide range of Big Data related tasks such as: setting up a cluster, data ingestion, batch and real time processing, data analysis, machine learning and deep learning.

Ready to Begin?