CDS 302/502 Scientific Data and Databases 3 credits.
Data and databases used by scientists. Includes basics about database organization, queries, and distributed data systems. Student exercises will include queries of existing systems, along with basic design of simple database systems.
Data and databases used by scientists. Includes basics about database organization, queries, and distributed data systems. Student exercises will include queries of existing systems, along with basic design of simple database systems.
CDS 301 Scientific Information and Data Visualization 3 Credits
This course is an in-depth study of the methods and software used in Data Science to visualize complex information. Topics include data visualization, interactive visual analytics, storytelling with data and the effective communication of information. Elements of usability, user experience, and the psychology of the user are developed. Exercises to help students develop their understanding of the role that visualization plays in computational science are completed.
This course is an in-depth study of the methods and software used in Data Science to visualize complex information. Topics include data visualization, interactive visual analytics, storytelling with data and the effective communication of information. Elements of usability, user experience, and the psychology of the user are developed. Exercises to help students develop their understanding of the role that visualization plays in computational science are completed.
BUS 210: Business Analytics I. 3 credits
Course introduces business analytics and why businesses use analytics to create and sustain competitive advantage. Topics include data types, summarization and graphical display of data, application of basic probability rules, and probability distributions. Introduces fundamentals of spreadsheets and their use in business applications. Learn how to apply appropriate analytical tools to gain useful insights from real-life datasets.
Course introduces business analytics and why businesses use analytics to create and sustain competitive advantage. Topics include data types, summarization and graphical display of data, application of basic probability rules, and probability distributions. Introduces fundamentals of spreadsheets and their use in business applications. Learn how to apply appropriate analytical tools to gain useful insights from real-life datasets.
BUS 310: Business Analytics II. 3 credits
Introduces modeling relationships contained in data and linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. Fundamentals of linear programming to solve optimization problems in business. Apply analytical tools to gain insights from real-life datasets. Hands-on experience and application of the methods to data sets using spreadsheet software.
Introduces modeling relationships contained in data and linear models to make predictions in business. Topics include estimation, hypotheses testing, statistical inference, analysis of variance and linear regression techniques. Fundamentals of linear programming to solve optimization problems in business. Apply analytical tools to gain insights from real-life datasets. Hands-on experience and application of the methods to data sets using spreadsheet software.