In this Excel course, we introduce real-world Excel skills across a broad range of applications. Skill development will include manipulating excel spreadsheets, using built-in Excel tools, use of important formulas, Excel security, and modeling business decisions for use by different stakeholders. Students will be faced with use cases from different perspectives (user, analyst, decision maker/manager, and external stakeholders) and will learn to develop models that enable better decision-making and prepare them for more advanced techniques used later in the program. 3 credit hours
This course provides an overview of business analytics (descriptive, predictive and prescriptive) and introduces some analytical tools using Excel. The course considers analytics from key business perspectives: mangers, analysts, decision-makers, database administrators and a variety of potential audiences. To demonstrate basic tools the class will utilize Excel, focusing on cleaning, organizing, visualizing, analyzing real-world data from a variety of cases. The course also introduces a framework for assessing an organizations capability to deploy, and benefit from, business analytics practices. 3 credit hours
This course introduces basic concepts of how business intelligence can help decision makers to deal with massive data. The focus of the course is how to turn data into a story-telling dashboard to support business decisions. The course emphasizes practical IT and analytical skills required to structure business problems into models. The industry standard software (Tableau) will be introduced in the course. 3 credit hours
Understanding the complexity of current data management systems and the ever-evolving technology necessary to leverage such data is essential in making sound data-driven decisions. In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management. The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. 3 credit hours
This course introduces the field of big data and its applications. The course has a focus on building conceptual structure of employing appropriate technologies to support business decisions. It is an inter-disciplinary course that draws upon case applications from finance, marketing, healthcare, and sports fields. 3 credit hours
Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI). This course will focus on developing marketing activities and resource allocation decisions driven by quantitative analysis. Last several years have seen a dramatic increase in the amount of time and money that marketers spend on data analysis. Marketing analytics for organizations put emphasis on marketing decision-making and its integration with the data and financing dimensions of organizations. The main goal of the course is to help students understand quantitative marketing methods, from a variety of perspectives as analysts, consumers and entrepreneurs. 3 credit hours
This course introduces the technical, managerial, and ethical aspects of information security and assurance. It provides the foundation for discussing the issues related to protecting the technical aspects of information resources, managing the cost/benefit relationship in protecting those resources and responding to security incidents, and evaluating the ethical issues related to lack of access to resources and the privacy rights of customers, employees, and the general public. 3 credit hours
Project Management is an important function, as projects drive progress and change and help organizations strategically respond to economic and market demands. A mature project management environment is key for industries and organizations worldwide. Students will learn how to mange a broad range of activities within an organization based on the Project Management Body of Knowledge (PMBOK). Students will study and apply the full life cycle perspective of managing a project which includes initiating, planning, executing, monitoring and controlling, and closing. Key topics covered include project integration, scope, schedule, cost, quality, resources, communications, risk management, procurement and stakeholder management. (3 credits)
This course is organized as a full project learning course. The project draws upon local and national companies. In this course, students are expected to apply various analytics skills in the previous courses to solve a business challenge that requires data analysis to be performed on real-world datasets. The projects are expected from various business areas: Finance, Marketing, Operations, Healthcare etc. 3 credit hours
Students will be instructed in all forms of secondary and primary data. Data collection through automated or manual methods will be explained, including the considerations surrounding data ethics, sampling bias and sampling techniques. In conjunction with a brief primer on business strategy, students will also learn about performance metrics and metric design - as a source for operational data used in future analysis. Students will apply this knowledge as the collect and organize real-world data from a variety of sources, including online repositories and self-generated surveys. 3 credit hours
In this Excel course, we introduce real-world Excel skills across a broad range of applications. Skill development will include manipulating excel spreadsheets, using built-in Excel tools, use of important formulas, Excel security, and modeling business decisions for use by different stakeholders. Students will be faced with use cases from different perspectives (user, analyst, decision maker/manager, and external stakeholders) and will learn to develop models that enable better decision-making and prepare them for more advanced techniques used later in the program. 3 credit hours
This course provides an overview of business analytics (descriptive, predictive and prescriptive) and introduces some analytical tools using Excel. The course considers analytics from key business perspectives: mangers, analysts, decision-makers, database administrators and a variety of potential audiences. To demonstrate basic tools the class will utilize Excel, focusing on cleaning, organizing, visualizing, analyzing real-world data from a variety of cases. The course also introduces a framework for assessing an organizations capability to deploy, and benefit from, business analytics practices. 3 credit hours
This course introduces basic concepts of how business intelligence can help decision makers to deal with massive data. The focus of the course is how to turn data into a story-telling dashboard to support business decisions. The course emphasizes practical IT and analytical skills required to structure business problems into models. The industry standard software (Tableau) will be introduced in the course. 3 credit hours
Understanding the complexity of current data management systems and the ever-evolving technology necessary to leverage such data is essential in making sound data-driven decisions. In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management. The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. 3 credit hours
This course introduces the field of big data and its applications. The course has a focus on building conceptual structure of employing appropriate technologies to support business decisions. It is an inter-disciplinary course that draws upon case applications from finance, marketing, healthcare, and sports fields. 3 credit hours
Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI). This course will focus on developing marketing activities and resource allocation decisions driven by quantitative analysis. Last several years have seen a dramatic increase in the amount of time and money that marketers spend on data analysis. Marketing analytics for organizations put emphasis on marketing decision-making and its integration with the data and financing dimensions of organizations. The main goal of the course is to help students understand quantitative marketing methods, from a variety of perspectives as analysts, consumers and entrepreneurs. 3 credit hours
This course introduces the technical, managerial, and ethical aspects of information security and assurance. It provides the foundation for discussing the issues related to protecting the technical aspects of information resources, managing the cost/benefit relationship in protecting those resources and responding to security incidents, and evaluating the ethical issues related to lack of access to resources and the privacy rights of customers, employees, and the general public. 3 credit hours
Project Management is an important function, as projects drive progress and change and help organizations strategically respond to economic and market demands. A mature project management environment is key for industries and organizations worldwide. Students will learn how to mange a broad range of activities within an organization based on the Project Management Body of Knowledge (PMBOK). Students will study and apply the full life cycle perspective of managing a project which includes initiating, planning, executing, monitoring and controlling, and closing. Key topics covered include project integration, scope, schedule, cost, quality, resources, communications, risk management, procurement and stakeholder management. (3 credits)
This course is organized as a full project learning course. The project draws upon local and national companies. In this course, students are expected to apply various analytics skills in the previous courses to solve a business challenge that requires data analysis to be performed on real-world datasets. The projects are expected from various business areas: Finance, Marketing, Operations, Healthcare etc. 3 credit hours
Understanding the complexity of current data management systems and the ever-evolving technology necessary to leverage such data is essential in making sound data-driven decisions. In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management. The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. 3 credit hours
This course introduces basic concepts of how business intelligence can help decision makers to deal with massive data. The focus of the course is how to turn data into a story-telling dashboard to support business decisions. The course emphasizes practical IT and analytical skills required to structure business problems into models. The industry standard software (Tableau) will be introduced in the course. 3 credit hours
This course provides an overview of business analytics (descriptive, predictive and prescriptive) and introduces some analytical tools using Excel. The course considers analytics from key business perspectives: mangers, analysts, decision-makers, database administrators and a variety of potential audiences. To demonstrate basic tools the class will utilize Excel, focusing on cleaning, organizing, visualizing, analyzing real-world data from a variety of cases. The course also introduces a framework for assessing an organizations capability to deploy, and benefit from, business analytics practices. 3 credit hours
In this Excel course, we introduce real-world Excel skills across a broad range of applications. Skill development will include manipulating excel spreadsheets, using built-in Excel tools, use of important formulas, Excel security, and modeling business decisions for use by different stakeholders. Students will be faced with use cases from different perspectives (user, analyst, decision maker/manager, and external stakeholders) and will learn to develop models that enable better decision-making and prepare them for more advanced techniques used later in the program. 3 credit hours
Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI). This course will focus on developing marketing activities and resource allocation decisions driven by quantitative analysis. Last several years have seen a dramatic increase in the amount of time and money that marketers spend on data analysis. Marketing analytics for organizations put emphasis on marketing decision-making and its integration with the data and financing dimensions of organizations. The main goal of the course is to help students understand quantitative marketing methods, from a variety of perspectives as analysts, consumers and entrepreneurs. 3 credit hours
This course introduces the field of big data and its applications. The course has a focus on building conceptual structure of employing appropriate technologies to support business decisions. It is an inter-disciplinary course that draws upon case applications from finance, marketing, healthcare, and sports fields. 3 credit hours
Project Management is an important function, as projects drive progress and change and help organizations strategically respond to economic and market demands. A mature project management environment is key for industries and organizations worldwide. Students will learn how to mange a broad range of activities within an organization based on the Project Management Body of Knowledge (PMBOK). Students will study and apply the full life cycle perspective of managing a project which includes initiating, planning, executing, monitoring and controlling, and closing. Key topics covered include project integration, scope, schedule, cost, quality, resources, communications, risk management, procurement and stakeholder management. (3 credits)
This course introduces the technical, managerial, and ethical aspects of information security and assurance. It provides the foundation for discussing the issues related to protecting the technical aspects of information resources, managing the cost/benefit relationship in protecting those resources and responding to security incidents, and evaluating the ethical issues related to lack of access to resources and the privacy rights of customers, employees, and the general public. 3 credit hours
This course is organized as a full project learning course. The project draws upon local and national companies. In this course, students are expected to apply various analytics skills in the previous courses to solve a business challenge that requires data analysis to be performed on real-world datasets. The projects are expected from various business areas: Finance, Marketing, Operations, Healthcare etc. 3 credit hours
Marketing analytics is the practice of measuring, managing and analyzing marketing performance to maximize its effectiveness and optimize return on investment (ROI). This course will focus on developing marketing activities and resource allocation decisions driven by quantitative analysis. Last several years have seen a dramatic increase in the amount of time and money that marketers spend on data analysis. Marketing analytics for organizations put emphasis on marketing decision-making and its integration with the data and financing dimensions of organizations. The main goal of the course is to help students understand quantitative marketing methods, from a variety of perspectives as analysts, consumers and entrepreneurs. 3 credit hours
This course introduces the field of big data and its applications. The course has a focus on building conceptual structure of employing appropriate technologies to support business decisions. It is an inter-disciplinary course that draws upon case applications from finance, marketing, healthcare, and sports fields. 3 credit hours
Project Management is an important function, as projects drive progress and change and help organizations strategically respond to economic and market demands. A mature project management environment is key for industries and organizations worldwide. Students will learn how to mange a broad range of activities within an organization based on the Project Management Body of Knowledge (PMBOK). Students will study and apply the full life cycle perspective of managing a project which includes initiating, planning, executing, monitoring and controlling, and closing. Key topics covered include project integration, scope, schedule, cost, quality, resources, communications, risk management, procurement and stakeholder management. (3 credits)
This course introduces the technical, managerial, and ethical aspects of information security and assurance. It provides the foundation for discussing the issues related to protecting the technical aspects of information resources, managing the cost/benefit relationship in protecting those resources and responding to security incidents, and evaluating the ethical issues related to lack of access to resources and the privacy rights of customers, employees, and the general public. 3 credit hours
This course is organized as a full project learning course. The project draws upon local and national companies. In this course, students are expected to apply various analytics skills in the previous courses to solve a business challenge that requires data analysis to be performed on real-world datasets. The projects are expected from various business areas: Finance, Marketing, Operations, Healthcare etc. 3 credit hours
Understanding the complexity of current data management systems and the ever-evolving technology necessary to leverage such data is essential in making sound data-driven decisions. In this course, students will examine the issues in managing data and information from an enterprise perspective, and explore data management as an essential resource to organizational success through a deeper understanding of the concepts and techniques for managing the design, development, and maintenance of all the components of enterprise information management. The course will examine the roles and responsibilities of the various professionals that manage data and information in an organization. 3 credit hours
This course introduces basic concepts of how business intelligence can help decision makers to deal with massive data. The focus of the course is how to turn data into a story-telling dashboard to support business decisions. The course emphasizes practical IT and analytical skills required to structure business problems into models. The industry standard software (Tableau) will be introduced in the course. 3 credit hours
This course provides an overview of business analytics (descriptive, predictive and prescriptive) and introduces some analytical tools using Excel. The course considers analytics from key business perspectives: mangers, analysts, decision-makers, database administrators and a variety of potential audiences. To demonstrate basic tools the class will utilize Excel, focusing on cleaning, organizing, visualizing, analyzing real-world data from a variety of cases. The course also introduces a framework for assessing an organizations capability to deploy, and benefit from, business analytics practices. 3 credit hours
In this Excel course, we introduce real-world Excel skills across a broad range of applications. Skill development will include manipulating excel spreadsheets, using built-in Excel tools, use of important formulas, Excel security, and modeling business decisions for use by different stakeholders. Students will be faced with use cases from different perspectives (user, analyst, decision maker/manager, and external stakeholders) and will learn to develop models that enable better decision-making and prepare them for more advanced techniques used later in the program. 3 credit hours
Students will be instructed in all forms of secondary and primary data. Data collection through automated or manual methods will be explained, including the considerations surrounding data ethics, sampling bias and sampling techniques. In conjunction with a brief primer on business strategy, students will also learn about performance metrics and metric design - as a source for operational data used in future analysis. Students will apply this knowledge as the collect and organize real-world data from a variety of sources, including online repositories and self-generated surveys. 3 credit hours
York College of Pennsylvania
441 Country Club Road
York, PA 17403-3651
Phone: +1 717-447-5461
Email Us
Applicants must provide official transcripts from all prior educational institutions as well as verification of your RN license.