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Activity Number: 71 - Teaching the First Course in Statistics
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Statistics and Data Science Education
Abstract #309645
Title: Bridge Classroom and Real World with Reading Assignments
Author(s): Wei Wei*
Companies: Metropolitan State University
Keywords: Data Science Education; Introductory Data Science; Reading Assignment; Data Cleaning

Data Science is a fast evolving subject. It is important to connect students with the most upfront information in the area. In our first-year introductory data science course, we included five reading assignments in the curriculum to help students understand the career of data science, the skills needed for data science, data visualization, data cleaning, and the applications of data science in the real world. The curriculum of the introductory data science included data visualization, story telling from data, data wrangling, data ethics, text mining and basic data analysis. The five reading assignments were articles from Toward Data Science, Data Science Weekly Newsletter, and Data Science Medium. The topics of the five reading assignments were "Three Common Data Science Career Transitions", "What does a Data Scientist Really Look Like?", "How to choose the right chart or graph for your data", "The Art of Cleaning Your Data", and "The 5 Basic Statistics Concepts Data Scientists Need to Know". In our end-of-semester survey, students indicated that those reading assignments helped them to understand the career of Data Science, data cleaning and data visualization.

Authors who are presenting talks have a * after their name.

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