Redmond, Washington – March 7, 2016 – Data Science Dojo, an educational start-up, has selected its first non-profit applicant to receive tuition-free training in data science and data engineering.
Michael D’Andrea from the Sustainability Accounting Standards Board (SASB), a 501c(3) non-profit, will attend the company’s 5-day Seattle bootcamp, scheduled for March 28 – April 1, 2016. As a Data Science Dojo Fellow, he receives 50 hours of tuition-free training, books and materials and some travel expenses.
Why does Michael want to attend a Seattle bootcamp on data science?
“(SASB’s) mission is dependent on researching large amounts of structured and unstructured sustainability data for trends that support the greater disclosure of sustainability information for the public. However, as a 35-person organization without significant technology resources and awareness, it is challenging for us to explore possible means to scale our research efforts with data science.”
As data science becomes increasingly central to research and fundraising efforts, non-profits want to take advantage of these new tools. However, maintaining an in-house data science team is expensive. The Data Science Dojo Fellowship program offers non-profits the opportunity to train one of their own employees in data science and engineering.
By the end of the class, Michael may not be a data scientist, but he will be able to help SASB perform research more efficiently, saving time and money.
About the Data Science Dojo Fellowship Program:
The Data Science Dojo Fellowship program is open to students and non-profit employees. Four fellows are selected for each calendar year. To date, Data Science Dojo has selected six student fellows and one non-profit employee. Interested students and non-profit employees can submit their application at https://datasciencedojo.com/bootcamp/fellowship/
About Data Science Dojo:
Data Science Dojo is an education startup dedicated to enabling professionals to extract actionable insights from data. Our 5-day, intensive bootcamps and corporate trainings consist of hands-on labs, critical thinking sessions and a data engineering “hack day.” Graduates deploy predictive models and evaluate the effectiveness of different machine learning algorithms. Through these bootcamps, we are building a community of mentors, students and professionals committed to unleashing the potential of data science.