This course will provide an engaging opportunity to gain essential business computer skills, learning basic to advanced Microsoft Excel spreadsheet software.

Students prepare for and take the MOS Excel Expert Certification as part of the course and gain experience using other advanced analytics tools.

Focuses on analyzing business data using common software platforms to solve business problems.

Covers how business professionals use data to inform business decisions in areas like marketing, finance, and operations.

Discusses how analyzing business data can be leveraged for a variety of career opportunities using industry recognized software and techniques.

The skills acquired in this course are foundational for several upper-division courses in the College of Business.

Develop spreadsheet models incorporating advanced formulas, functions, charts, pivot tables, and macros.

Use software tools to connect, transform and present data in formats suitable for decision making.

Build dashboards and workbooks to visualize data insights.

Explore diverse career paths in business data analytics.

This course provides students with a comprehensive understanding of how technology is applied in business environments.

It emphasizes the application of management information systems (MIS).

It explores the critical need to support business processes across operational, strategic, and decision-making functions for organizations of all sizes.

Students will gain hands-on experience solving business problems using tools such as SQL, Python, and visualization tools.

Students will learn how to query databases, perform complex data retrieval, and manipulate data to support business decision-making processes.

Describe and identify the key elements of Global Information Systems. (Summary)

Analyze business situations, identify relevant functional and technological issues, and defend viable courses of action. (Summary)

Articulate strategies for implementing and improving information systems to create value for an organization. (Summary)

Use SQL extensively for querying and managing business data effectively. (Summary)

Develop effective visualizations to effectively communicate analytical findings. (Summary)

This course will provide an engaging opportunity to gain essential business computer skills, learning basic to advanced Microsoft Excel spreadsheet software.

Students prepare for and take the MOS Excel Expert Certification as part of the course and gain experience using other advanced analytics tools.

Focuses on analyzing business data using common software platforms to solve business problems.

Covers how business professionals use data to inform business decisions in areas like marketing, finance, and operations.

Discusses how analyzing business data can be leveraged for a variety of career opportunities using industry recognized software and techniques.

The skills acquired in this course are foundational for several upper-division courses in the College of Business.

Develop spreadsheet models incorporating advanced formulas, functions, charts, pivot tables, and macros.

Use software tools to connect, transform and present data in formats suitable for decision making.

Build dashboards and workbooks to visualize data insights.

Explore diverse career paths in business data analytics.

This course provides students with a comprehensive understanding of how technology is applied in business environments.

It emphasizes the application of management information systems (MIS).

It explores the critical need to support business processes across operational, strategic, and decision-making functions for organizations of all sizes.

Students will gain hands-on experience solving business problems using tools such as SQL, Python, and visualization tools.

Students will learn how to query databases, perform complex data retrieval, and manipulate data to support business decision-making processes.

Describe and identify the key elements of Global Information Systems. (Summary)

Analyze business situations, identify relevant functional and technological issues, and defend viable courses of action. (Summary)

Articulate strategies for implementing and improving information systems to create value for an organization. (Summary)

Use SQL extensively for querying and managing business data effectively. (Summary)

Develop effective visualizations to effectively communicate analytical findings. (Summary)

This hands-on course covers fundamentals and advanced concepts necessary to prepare students to pass the Microsoft Office Specialist (MOS) Excel Expert Certification. Students will take the MOS Excel Expert Certification as part of the course. 

Covers beginning Structured Query Language (SQL) commands used in most relational database management systems for joining and extracting data to solve business problems. 

Skills in this course will be critical for several upper division courses in the College of Business 

Required of all students in the College of Business and open to other interested students. 

Create spreadsheet models that include advanced formulas, functions, charts, pivot tables, and macros. (PLO 1, 3, 7)

Prepare valid data analysis spreadsheet models to aid in decision making. (PLO 2)

Demonstrate an understanding of the basic SQL syntax useful to typical business users. (PLO 1)

Develop SQL queries that extract and join data from multiple tables to solve a business problem. (PLO 1, 2)

Identify and defend personal, ethical, and organizational issues related to the use and misuse of spreadsheet models and SQL commands. (PLO 4, 5)

This hands-on course covers fundamentals and advanced concepts necessary to prepare students to pass the Microsoft Office Specialist (MOS) Excel Expert Certification. Students will take the MOS Excel Expert Certification as part of the course. 

Covers beginning Structured Query Language (SQL) commands used in most relational database management systems for joining and extracting data to solve business problems. 

Skills in this course will be critical for several upper division courses in the College of Business 

Required of all students in the College of Business and open to other interested students. 

Create spreadsheet models that include advanced formulas, functions, charts, pivot tables, and macros. (PLO 1, 3, 7)

Prepare valid data analysis spreadsheet models to aid in decision making. (PLO 2)

Demonstrate an understanding of the basic SQL syntax useful to typical business users. (PLO 1)

Develop SQL queries that extract and join data from multiple tables to solve a business problem. (PLO 1, 2)

Identify and defend personal, ethical, and organizational issues related to the use and misuse of spreadsheet models and SQL commands. (PLO 4, 5)

This hands-on course covers fundamentals and advanced concepts necessary to prepare students to pass the Microsoft Office Specialist (MOS) Excel Expert Certification. Students will take the MOS Excel Expert Certification as part of the course. 

Covers beginning Structured Query Language (SQL) commands used in most relational database management systems for joining and extracting data to solve business problems. 

Skills in this course will be critical for several upper division courses in the College of Business 

Required of all students in the College of Business and open to other interested students. 

Create spreadsheet models that include advanced formulas, functions, charts, pivot tables, and macros. (PLO 1, 3, 7)

Prepare valid data analysis spreadsheet models to aid in decision making. (PLO 2)

Demonstrate an understanding of the basic SQL syntax useful to typical business users. (PLO 1)

Develop SQL queries that extract and join data from multiple tables to solve a business problem. (PLO 1, 2)

Identify and defend personal, ethical, and organizational issues related to the use and misuse of spreadsheet models and SQL commands. (PLO 4, 5)

This hands-on course covers fundamentals and advanced concepts necessary to prepare students to pass the Microsoft Office Specialist (MOS) Excel Expert Certification. Students will take the MOS Excel Expert Certification as part of the course. 

Covers beginning Structured Query Language (SQL) commands used in most relational database management systems for joining and extracting data to solve business problems. 

Skills in this course will be critical for several upper division courses in the College of Business 

Required of all students in the College of Business and open to other interested students. 

Create spreadsheet models that include advanced formulas, functions, charts, pivot tables, and macros. (PLO 1, 3, 7)

Prepare valid data analysis spreadsheet models to aid in decision making. (PLO 2)

Demonstrate an understanding of the basic SQL syntax useful to typical business users. (PLO 1)

Develop SQL queries that extract and join data from multiple tables to solve a business problem. (PLO 1, 2)

Identify and defend personal, ethical, and organizational issues related to the use and misuse of spreadsheet models and SQL commands. (PLO 4, 5)

This hands-on course covers fundamentals and advanced concepts necessary to prepare students to pass the Microsoft Office Specialist (MOS) Excel Expert Certification. Students will take the MOS Excel Expert Certification as part of the course. 

Covers beginning Structured Query Language (SQL) commands used in most relational database management systems for joining and extracting data to solve business problems. 

Skills in this course will be critical for several upper division courses in the College of Business 

Required of all students in the College of Business and open to other interested students. 

Create spreadsheet models that include advanced formulas, functions, charts, pivot tables, and macros. (PLO 1, 3, 7)

Prepare valid data analysis spreadsheet models to aid in decision making. (PLO 2)

Demonstrate an understanding of the basic SQL syntax useful to typical business users. (PLO 1)

Develop SQL queries that extract and join data from multiple tables to solve a business problem. (PLO 1, 2)

Identify and defend personal, ethical, and organizational issues related to the use and misuse of spreadsheet models and SQL commands. (PLO 4, 5)