Predictive Analytics: Basic Modeling Techniques

Peter Bruce is the Chief Learning Officer at Elder Research and the Founder of the Institute for Statistics Education at Statistics.com, which specializes in online education in statistics and data analytics. He has co-authored several influential works, including Responsible Data Science (Wiley, 2021), Data Mining for Business Analytics (Wiley, 2006–2021), which has seen 13 editions and is used in over 600 universities worldwide, and Practical Statistics for Data Scientists (O'Reilly, 2nd ed. 2020). Additionally, he authored Introductory Statistics and Analytics: A Resampling Perspective (Wiley, 2015). With a background that includes degrees from Princeton and Harvard, as well as an MBA from the University of Maryland, Peter has leveraged his extensive knowledge to develop a comprehensive curriculum that addresses various aspects of statistics and analytics. His commitment to education is reflected in his role at the Institute, where he oversees course development and faculty recruitment while teaching courses on resampling methods

Veronica Carlan is a Data Scientist at Elder Research, bringing extensive experience from her work with the intelligence community since 2009, where she previously served as an intelligence analyst. Currently, she focuses on insider threat detection, text analytics, and application development and maintenance. Her expertise includes analyzing complex data sets to identify potential security risks and developing tools for effective data management. Veronica's background uniquely positions her to bridge the gap between data science and practical applications in security, enhancing organizational capabilities in monitoring and mitigating insider threats.

Jericho McLeod is a Data Scientist at Elder Research, where he applies advanced analytics to solve business challenges, guiding clients from the initial definition of problems through to the successful deployment and maintenance of predictive models. With a strong focus on insider threat detection, text analytics, and application development, he leverages his expertise in semantic data modeling and data connectivity tools. Jericho’s passion for analytics drives him to create impactful solutions that enhance organizational security and efficiency, making him a valuable asset in the field of data science.

Janet Dobbins has established herself as a leader in data science education and community development, currently serving as VP of Business Development at Elder Research. After earning her B.A. in English and Economics from the University of Virginia, she began her career at Xerox Corporation as an Account Executive before transitioning to data science education. At Statistics.com's Institute for Statistics Education, she directed community outreach, communication, and marketing initiatives. Her work focuses on developing innovative curriculum with colleges and universities while helping industry teams acquire essential data science and technical skills. As past President and current Board member of Data Community DC, a non-profit organization with over 4,000 members, she has fostered data science education and professional development through various community events including job fairs, conferences, educational workshops, and hackathons. Her leadership has helped shape the data science community in the National Capital Region through high-quality, community-driven initiatives.

Kuber Deokar is the Lead of Data Science at UpThink Experts and serves as a faculty member and Instructional Operations Supervisor at The Institute for Statistics Education at Statistics.com, an Elder Research company. He is responsible for coordinating online courses, ensuring smooth interactions among management teams, course creators, instructors, teaching assistants, and students. Kuber also manages continuous course improvement projects in his role at UpThink Edutech Services. He holds a Master's degree in Statistics from the University of Pune and has earned two PASS certifications in Analytics for Data Science and Programming from Statistics.com. With over 14 years of experience in course design, development, and delivery, he teaches courses on Predictive Analytics and Statistical Modeling, with special interests in Machine Learning, Predictive Analytics, Statistical Modeling, SQL, R, and app development.