Students act as R&D entrepreneurs, learning ways to research variables affecting the market of their proposed (hypothetical) products. They learn how to obtain numeric data using a variety of Internet tools and resources, sort and analyze the data using Excel and other software, and discover patterns and relationships that influence and guide decisions related to launching their products. First, student pairs research and collect pertinent consumer data, importing the data into spreadsheets. Then they clean, organize, chart and analyze the data to inform their product production and marketing plans. They calculate related statistics and gain proficiency in obtaining and finding relationships between variables, which is important in the work of engineers as well as for general technical literacy and decision-making. They summarize their work by suggesting product launch strategies and reporting their findings and conclusions in class presentations. A finding data tips handout, project/presentation grading rubric and alternative self-guided activity worksheet are provided. This activity is ideal for a high school statistics class.

     This is a pathfinder designed for users who are new to Tableau Desktop and Tableau Public.  The purpose of this pathfinder is to be a companion resource to the February 25, 2023 presentation Create Accurately and Interactive Dashboards with Tableau.  The Tableau Student Ambassador presenters of the workshop were Taiwo Adegite, Junior Analyst; and Zena Patton, Corporate Learning Professional, and Librarian.  To learn more about the Tableau Community Leader Ambassador program, go to the following link  https://www.tableau.com/community/community-leaders/ambassadors      This companion resource is an artifact of a global, collaborative effort between Taiwo Adegite (Nigeria), Junior Analyst; and Zena Patton (United States of America), Corporate Learning Professional, and Librarian.Last update April 15, 2023.  This update includes resources from Flip the Tableau! Learning Experience.   

This customized independent study course puts Sloan Fellows MBA students into direct contact with innovators tackling global needs in education, healthcare, and energy/environment. Co-designed projects address low-income markets in the U.S. or globally, focusing on the application of new ideas and technology rooted in MIT innovations or the Boston ecosystem. Every project aims to develop better ways for the right innovations to reach scale, sustainability, and quality, thereby improving lives and uncovering opportunities in underserved markets.

Syllabus for the course "CSCI 381/780 - Data Analytics" delivered at Queens College in Spring 2019 by Kumar Ramansenthil as part of the Tech-in-Residence Corps program.