WorldQuant Learning debuts with platform to scale data science and tech education
New EdTech company aims to address growing demand for data science and software talent
WorldQuant Learning has launched as a new education technology company focused on expanding access to technical education in data science, programming, and computer science.
Its first product, WorldQuant Labs, is designed to help institutions and training providers deliver online instruction at scale.
The company, founded by Igor Tulchinsky, operates separately from WorldQuant LLC, the quantitative asset management firm. It will partner with colleges, universities, and workforce development organizations to address global demand for data and technology professionals.
Platform offers hands-on, integrated learning
WorldQuant Labs is a browser-based learning platform that supports project-based instruction through real-world technical assignments. It includes integration with existing learning management systems, access to development tools, assessment and feedback capabilities, and a library of modifiable project content.
The platform is intended to support scalable delivery of courses and programs in high-growth areas such as data science, AI, machine learning, and software development.
John Endrud, CEO of WorldQuant Learning, said:
“WorldQuant Learning’s mission is to accelerate pathways to knowledge and skills, for any learner. The WorldQuant Labs platform addresses the growing demand for technical professionals while solving key challenges in facilitating technical education delivery; enabling institutions to scale their programs effectively and efficiently by delivering best-in-class, real-world instruction.”
Tim Tomlinson, Chief Technology Officer at WorldQuant Learning, added:
“With computing roles expected to comprise a majority of new STEM jobs, technological advancements and industry evolutions are rapidly increasing demand for data professionals and tech talent in the workforce. With WorldQuant Labs, we aim to prepare today's learners for the in-demand roles of today across big data, fintech, AI, and machine learning, as well as the jobs of the future.”
