SCDV-110 Intro to Exploratory Data Analysis & Visualization

An introductory course where students will learn how to gather, analyze and visual large collections of data to extract knowledge for decision-making.

Students will learn how to...

1. Articulate the decision process, including decision biases and qualitative and quantitative variables.
2. Frame a data problem from the story of a subject matter expert.
3. Identify exceptional cases using measures of central tendency.
4. Ask questions to quantify risk and uncertainty.
5. Identify and analyze security concerns and ethical issues in a data problem.
6. Merge different sources of data in complimentary ways.
7. Use an appropriate programming language to help process and format data.
8. Use boolean logic and conditional expressions to automate decision making.
9. Write functions to automate processes and reuse code.
10. Use looping techniques to solve problems that require iteration.
11. Use appropriate software packages and libraries to create data visualizations.

To be successful in this course student are required to...

• complete zyBook reading assignments and activities to prepare for lecture meetings.
• meet for lecture three hours per week to learn about concepts and practice various activities.
• complete 7-10 homework assignments based on the concepts and skills learned in the course.
• complete a final project that combines many of the course concepts and skills to create a compelling info graphic or non-trivial data visualization.
• complete a 4 exams including a mid-term, a practical programming exam, and a final exam.