Second course in a two-course sequence. Introduces and applies technical skills around beginning and managing a small business, including spreadsheets and the use of charts and graphs. Includes reflection and discussion of the application of concepts to a real-world example. Requires teamwork and collaboration to be exercised in completing a group project. Covers application of financial, legal, and administrative procedures in running a business.
Upon successful completion of this course, students will be able to:
Represent business models in spreadsheets including preparation of charts and graphs. Apply key business activities and the primary concepts and terms associated with these activities. Manage a business interacting with the external environment (through a simulation) and describe how this interaction impacts both business and the external environment. Implement the financial, legal, and administrative procedures involved in starting new business ventures. Identify ethical issues facing businesses. Effectively collaborate with team members and communicate professionally.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

The Data Notebook is an online suite of open interactive resources that provides instructional materials for introductory data analytics and data visualization approaches relevant to a wide range of subjects and disciplines. Specifically, this book focuses on principles related to data storytelling, and provides tangible research steps and include case studies, mini-lessons, and interactive instructional components.

When we come across a graph, a chart, or an infographic, how do we know if it is telling the truth? Often, numbers and data convey an authority that is hard to dispute, especially when they are arranged visually in a compelling way. Yet, data, in the ways it is gathered and shared, can be misrepresented and portray a slanted reality rather than a more accurate depiction.

This workshop introduces the concept of data literacy, or the ability to comprehend and interpret data, as a method of cultivating a critical mindset towards representations of information. Participants will learn how to discern misleading data visualizations and collaborate with others in developing strategies for analyzing data that is more accurate and useful. All consumers of information, especially undergraduate students, are encouraged to attend.

By the end of this workshop, participants will be able to:

* Understand what data is and how it is used for rhetorical, commercial, and political purposes

* Identify errors and discrepancies in how data is produced and represented

* Engage with data visualizations in multiple contexts with a healthy degree of skepticism

* Communicate their interpretations of data with their peers