Syllabus:
INFO584: Data Analytics and Visualization
Feliciano School of Business
Montclair State University
INFO584-31, Spring 2021
Course Dates: Monday, January 4th – Sunday, February 28th, 2021
Course Information
• Professor: Naushad Kollikkathara
• Credit Hours: 3-credits
• Email Address: [email protected]
• Office Hours/Location: Office hours will be conducted
...[Show More]
Syllabus:
INFO584: Data Analytics and Visualization
Feliciano School of Business
Montclair State University
INFO584-31, Spring 2021
Course Dates: Monday, January 4th – Sunday, February 28th, 2021
Course Information
• Professor: Naushad Kollikkathara
• Credit Hours: 3-credits
• Email Address: [email protected]
• Office Hours/Location: Office hours will be conducted upon request via phone or
Canvas Conferences.
Course Delivery
This course is conducted fully online. All course materials will be posted on the MSU Canvas
site.
Course Description
Data-driven decision making using business intelligence technologies can have a profound
impact on corporate strategy, performance and competitiveness. However, technologies and
data alone would not be sufficient to meet performance goals: business data analysts must be
able to effectively organize and communicate practical implications of quantitative analyses to a
broad array of audiences and stakeholders. Even the most sophisticated statistical analyses are
not useful if they do not lead to actionable insight, or if the answers to business questions are
not presented in a way that non-technical people can understand. This course provides an
introduction as well as hands-on experience in fundamental business analytics, data
visualization, and visual data storytelling. It introduces students to design principles for creating
meaningful displays of quantitative and qualitative data to facilitate managerial decision-making
in the field of business analytics. Many organizations are using analytics along with visualization
to make better decisions and improve customer and shareholder value.
The course will cover basic modern techniques in data analysis and visualization for risk and
decision making, and help develop and enhance skills in data exploration, manipulation and
visualization. The course is organized around concepts, tools, and applications, and cover the
visual analytics process from beginning to end, from collecting, and analyzing data to creating
data visualizations, dashboards, and stories that share critical business insights.
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