KANSAS DATA SCIENCE CONFERENCE

Morning Workshops

Skill-Builder Track

Introduction to Tableau: Martha Davis & Kevin McCarthy (9:30-10:30, 10:45-11:45)

Organizations use analytics and visualization to support better decision-making and improve customer and shareholder value. This hands-on session welcomes beginners looking to build critical skills in data visualization and Tableau, an industry-leading tool. We will provide an overview of features and principles for creating meaningful displays of quantitative and qualitative data. By the end of the workshop participants will be able to confidently facilitate managerial decisionmaking in the field of business analytics.

No experience necessary Computers with Tableau available Sessions are sequential, non-repeating

Keynote Presentation: Eric Van Dusen

Curriculum-Builder Track

K-12 Data Science: Safia Malallah (9:30-10:30)

K-12 data science education is a growing field which introduces the principles of analysis and visualization to students of all ages. This workshop incorporates many frameworks and models of education. Participants will improve their data science skills with hands-on activities and start building lessons of their own.

Data Carpentry: Tami Albin (10:45-11:45)

Data Carpentry lessons teach fundamental skills to researchers who have domain-specific knowledge but lack data science training. Domain-specific workshops tailor the content to the needs of different areas and build new skills on familiar knowledge frameworks. Learn the priniciples which help The Carpentries design flexible, broad, and specific lessons.

Catered Lunch Session

Understanding the Success of UC Berkeley’s Data Science Program (12:00-1:00)

Science Education at UC Berkeley starts with student-centered, interdisciplinary curriculum built on open-source education and interactive computing. Lessons employ the foundations of computational and inferential thinking to explore practical data sets. UC Berkeley’s opensource approach helps build a national community around Data Science Education.

Poster Session: Community Data Lab Projects (1:30-3:00)

The flagship program of the Kansas Data Science Consortium is the Community Data Lab which brings projects (real-world issues and datasets) submitted by community partners into classrooms across Kansas. Students from KU, K-State, and Wichita State are invited to present their work on this semester’s projects. This forum will allow partners and community members to view preliminary results, and engage in conversation with students.