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讲解 MG-GY 6203 - Data Visualization for Business Intelligence Fall 2025调试Python程序

MG-GY 6203 - Data Visualization for Business Intelligence

Fall 2025 (Section B)

Department of Technology Management and Innovation

Course Overview Our ability to mine, interpret, and utilize large amounts of data has transformed every industry.  However, data analysis alone does not have meaning without context and interpretation.  Being able to effectively present analytics with a compelling narrative is a true differentiator and is paramount in influencing decision-makers. The goal of this course is to expose students to key data visualization design principles, leading analytical techniques, business intelligence tools, and strategic communication to bring insight to complex data and drive real value. Students will go through the data discovery journey, focusing on how to present information clearly and effectively translate data into dynamic stories with actionable outcomes.

This course’s guiding philosophy is “getting dirty with data”. Students will complete data cleaning, analysis, and data visualization assignments and projects using multiple data sets.  The expectation is to design, build, and present their findings using Tableau / Tableau Prep and PowerPoint.

This is not a programming language course (i.e. R, Python, SQL, etc..). Students with a coding background can choose to work on visualization projects that involve coding (only if they want to).

Course Objectives: This course is designed to provide students with   the foundations necessary for understanding and employing the current state of the art in data visualization.

• An understanding of the key techniques and theory used in visualization, graphical perception, and techniques for visual encoding and interaction.

• Have an analytical thinking mind set. Understand data driven problem solving and be able to wrangle, manipulate, and visualize data to drive insight.

• Expose to available popular visualization software and provide hands-on experience.

• Apply analytics and data visualization in a strategic context.

• Effectively translate data into dynamic stories with actionable outcomes.

Course Prerequisites Graduate Standing.






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