2 or 3 credits
Spring 2025 Lecture
The skill set that accountants have needed to perform math and to keep order has evolved from pencil and paper, to calculators, and then to spreadsheets and accounting software. A new skill set that is becoming more important for nearly every aspect of business is that of big data analytics: managing large amounts of data in the database, analyzing them and finding actionable insights and visualizing the results. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages and software like Python, SQL, and Tableau.
Learning Outcomes1Understand the basic syntax and semantics of the Python language.
2Understand the primitive data types build into Python.
3Understand the key data visualization principles and techniques.
4Apply data visualization principles and techniques to real-world business problems.
5Critically evaluate the design and presentation of complex data or concept.
6Design innovative static and interactive visualizations to effectively present information and enable data exploration.
7Analyze a business situation to determine information management needs.
8Design a database to address those needs.
9Write SQL queries to retrieve information from a relational database.
Restrictions
Attachments
made by Purdue students.