Friday, April 08, 2016


New Program to Provide Night and Weekend Courses in Data Science; First Course to Begin at 1871 in April

CHICAGO (April 8, 2016) – 1871 joined Best Fit Analytics Workshop today to launch the new Best Fit Analytics workshop series at 1871. Best Fit Analytics Workshop educates students on analytical methodologies and technologies to obtain insights from data, and will operate at 1871 throughout the year during evenings and weekends.

“We are constantly working to provide our members and the Chicago tech community with access to the best educational programs,” said 1871 CEO Howard A. Tullman. “By partnering with Best Fit Analytics Workshop to bring their data analytics courses to our space, 1871 is adding yet another opportunity for students to develop professional skills that lead to successful, growing careers in the technology economy. Data analytics is a growing and exciting field that is full of opportunities, and Chicago is poised to be a global leader in this space.”

Best Fit Analytics Workshop offers weekend and evening courses for adults interested in learning more about data science. The organization introduces students to data science in a beginner-friendly, classroom setting that teaches a working knowledge of introductory data science skills. In addition, Best Fit Analytics Workshop works to build a community of knowledgeable instructors and engaged students who are committed to sharing knowledge, best practices and opportunities. 

“We at Best Fit Analytics Workshop are excited to partner with 1871 to work towards achieving our mission of educating the Chicago community in analytics and data science,” said Scott Albrecht, co-founder of Best Fit Analytics. “1871 is well known and respected in the technology space, providing an ideal audience and setting for us to share our knowledge about data science while becoming a part of their community. It is truly the best fit for us and we look forward to working together.”

1871 hosts a number of educational programs around coding, design, business development, data analytics, and cybersecurity for the benefit of its member companies and the wider Chicago community. The education of individuals from outside of the technology community and their subsequent placement into stable jobs in growing fields is a key component of 1871’s ongoing work to increase inclusiveness and access to its community. To see a full list of the courses offered at 1871, please visit

The first Best Fit Analytics Workshop covers the data science industry, R basics, linear and logistic regression, and classification trees. This course will take place at 1871 on Saturday, April 16 and Sunday, April 17 from 9:00am to 5:00pm. For more information and to register, visit

About 1871

1871 is the home of more than 350 early-stage, high-growth digital startups. Located in The Merchandise Mart, this 120,000 square foot facility is also the headquarters of nationally recognized accelerators Techstars Chicago and the Good Food Business Accelerator; impact investing fund Impact Engine; half a dozen industry-specific incubators in key areas such as real estate, education technology, food and financial technology; several emerging tech talent schools (Flatiron, The Fullbridge Program, Future Founders, Designation and the Startup Institute), and the state's leading technology advocate, the Illinois Science and Technology Coalition. It is the second home to Chicago-based VCs, Pritzker Group Venture Capital, MATH Venture Partners, Hyde Park Angels, OCA Ventures, OurCrowd and Chicago Ventures, as well as satellite offices for Northwestern University, University of Illinois, University of Chicago, Loyola University Chicago, Illinois Institute of Technology, and DeVry. 1871 has fast become recognized as the hub for the city’s entrepreneurial/technology ecosystem and has been featured in Inc. Magazine, TechCrunch, The Wall Street Journal, The New York Times, Chicago Tribune and Crain’s Chicago Business among other top media. 1871 is the flagship project of the Chicagoland Entrepreneurial Center.

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