Business Analytics Certificate

Students are introduced to database management and database tools from a business application perspective. Students will learn the important role that databases play in organizations for strategic decision-making and business intelligence.  This introductory course will include the fundamentals of relational database design and provide students with an understanding of the key concepts of Structured Query Language (SQL). Students will create SQL statements for data storage, data collection, data computation, and data analysis and reporting.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

This second level course covers expert Excel features, including formatting with advanced techniques, working with templates and workbooks, working with lists, using analysis tools, managing and auditing worksheets, collaborating with workgroups, and using advanced format functions.Â

In this course the student is exposed to a broad view of the business enterprise and how each category of business can ethically use artificial intelligence (AI) as a tool. The student will gain insight into the necessity and mutual interdependence of such key business functions as management, human resources, operations and quality, marketing, accounting, and finance. Additionally, the topics of economics and information systems are introduced. Throughout this course the student will gain extensive experience with a direct application of AI use, its benefits, limitations, and ethical considerations, within each topic-area covered in business. The student will also gain experience in problem-solving by means of applying basic business math skills to typical business scenarios.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

Python is a user-friendly, object-oriented programming language. This course provides a clear, accessible, and skill-focused approach to programming with Python using Python 3. The course offers students a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Problem sets are based on real-world examples and problem-solving rather than language features. This course offers students a solid platform of key problem-solving skills that translate easily across programming languages.

In this course the student is exposed to a broad view of the business enterprise and how each category of business can ethically use artificial intelligence (AI) as a tool. The student will gain insight into the necessity and mutual interdependence of such key business functions as management, human resources, operations and quality, marketing, accounting, and finance. Additionally, the topics of economics and information systems are introduced. Throughout this course the student will gain extensive experience with a direct application of AI use, its benefits, limitations, and ethical considerations, within each topic-area covered in business. The student will also gain experience in problem-solving by means of applying basic business math skills to typical business scenarios.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

Python is a user-friendly, object-oriented programming language. This course provides a clear, accessible, and skill-focused approach to programming with Python using Python 3. The course offers students a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Problem sets are based on real-world examples and problem-solving rather than language features. This course offers students a solid platform of key problem-solving skills that translate easily across programming languages.

Students are introduced to database management and database tools from a business application perspective. Students will learn the important role that databases play in organizations for strategic decision-making and business intelligence.  This introductory course will include the fundamentals of relational database design and provide students with an understanding of the key concepts of Structured Query Language (SQL). Students will create SQL statements for data storage, data collection, data computation, and data analysis and reporting.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

This second level course covers expert Excel features, including formatting with advanced techniques, working with templates and workbooks, working with lists, using analysis tools, managing and auditing worksheets, collaborating with workgroups, and using advanced format functions.Â

This course introduces the concepts and application of data analytics in business. A hands-on approach using Microsoft Excel, Power BI, and artificial intelligence (AI) tools is employed for data analysis, data visualization, modeling, and creating dashboards with direct connectivity to data sources. Students will explore how AI enhances business intelligence through predictive insights and automation within analytics workflows.

In this course the student is exposed to a broad view of the business enterprise and how each category of business can ethically use artificial intelligence (AI) as a tool. The student will gain insight into the necessity and mutual interdependence of such key business functions as management, human resources, operations and quality, marketing, accounting, and finance. Additionally, the topics of economics and information systems are introduced. Throughout this course the student will gain extensive experience with a direct application of AI use, its benefits, limitations, and ethical considerations, within each topic-area covered in business. The student will also gain experience in problem-solving by means of applying basic business math skills to typical business scenarios.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

Python is a user-friendly, object-oriented programming language. This course provides a clear, accessible, and skill-focused approach to programming with Python using Python 3. The course offers students a thorough overview of multiple applied areas, including image processing, cryptography, astronomy, the Internet, and bioinformatics. Problem sets are based on real-world examples and problem-solving rather than language features. This course offers students a solid platform of key problem-solving skills that translate easily across programming languages.

Students are introduced to database management and database tools from a business application perspective. Students will learn the important role that databases play in organizations for strategic decision-making and business intelligence.  This introductory course will include the fundamentals of relational database design and provide students with an understanding of the key concepts of Structured Query Language (SQL). Students will create SQL statements for data storage, data collection, data computation, and data analysis and reporting.

This course is an introductory course in spreadsheets using Microsoft Excel for Windows. Through a series of hands-on exercises, the student will create, edit, format, and print worksheets. Topics include: creating, saving, retrieving, formatting, editing, printing, creating formulas, using functions, naming cells and ranges, creating tables, creating charts, defining range names, validating data, sorting and filtering data, maintaining file organization, and using templates.Â

This second level course covers expert Excel features, including formatting with advanced techniques, working with templates and workbooks, working with lists, using analysis tools, managing and auditing worksheets, collaborating with workgroups, and using advanced format functions.Â

This course introduces the concepts and application of data analytics in business. A hands-on approach using Microsoft Excel, Power BI, and artificial intelligence (AI) tools is employed for data analysis, data visualization, modeling, and creating dashboards with direct connectivity to data sources. Students will explore how AI enhances business intelligence through predictive insights and automation within analytics workflows.

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

In this course the student is exposed to a broad view of the business enterprise. Special emphasis is placed upon the role and importance of entrepreneurship and small-business management. The student will gain insight into the necessity and mutual interdependence of such key business functions as management, human resources, operations and quality, marketing, accounting, and finance. Additionally, the topics of globalization and economics are introduced. Throughout this course, the student will gain extensive experience in problem solving by means of applying basic business math skills to typical business scenarios.Â

This course is an introductory course in databases using Microsoft Access for Windows. Through a series of hands-on exercises, the student will create and manage databases. Topics include: creating, saving, formatting, and editing tables; designing reports; creating formulas; working with records; creating forms; writing queries; and establishing table relations.Â

This course introduces business productivity tools for time management, collaboration, data organization and communication in today's workplace business environment. Cloud-based productivity tools will be used to manage group collaboration, organize and share data, and communicate using real-time collaboration tools and advanced features of electronic mail.

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

This course introduces students to generative artificial intelligence technologies and their applications in business analytics. Students will explore tools such as ChatGPT, Microsoft Copilot, and other AI platforms to create content, automate workflows, and generate predictive insights. Emphasis is placed on ethical use, prompt engineering, and integrating generative AI into data analysis and visualization processes.

This course provides a strong understanding of the legal, ethical, and societal implications of information technology. Updated to cover the latest technological developments, this edition examines issues associated with the professional code of ethics, cyberattacks and cybersecurity, security risk assessment, privacy, electronic surveillance, freedom of expression, censorship, protection and infringement of intellectual property, development of high-quality software systems, the impact of IT on society, social networking, and the ethics of IT corporations.

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

This course introduces students to generative artificial intelligence technologies and their applications in business analytics. Students will explore tools such as ChatGPT, Microsoft Copilot, and other AI platforms to create content, automate workflows, and generate predictive insights. Emphasis is placed on ethical use, prompt engineering, and integrating generative AI into data analysis and visualization processes.

This course provides a strong understanding of the legal, ethical, and societal implications of information technology. Updated to cover the latest technological developments, this edition examines issues associated with the professional code of ethics, cyberattacks and cybersecurity, security risk assessment, privacy, electronic surveillance, freedom of expression, censorship, protection and infringement of intellectual property, development of high-quality software systems, the impact of IT on society, social networking, and the ethics of IT corporations.

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

This course is an introductory course in databases using Microsoft Access for Windows. Through a series of hands-on exercises, the student will create and manage databases. Topics include: creating, saving, formatting, and editing tables; designing reports; creating formulas; working with records; creating forms; writing queries; and establishing table relations.Â

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

This course introduces students to generative artificial intelligence technologies and their applications in business analytics. Students will explore tools such as ChatGPT, Microsoft Copilot, and other AI platforms to create content, automate workflows, and generate predictive insights. Emphasis is placed on ethical use, prompt engineering, and integrating generative AI into data analysis and visualization processes.

This course provides a strong understanding of the legal, ethical, and societal implications of information technology. Updated to cover the latest technological developments, this edition examines issues associated with the professional code of ethics, cyberattacks and cybersecurity, security risk assessment, privacy, electronic surveillance, freedom of expression, censorship, protection and infringement of intellectual property, development of high-quality software systems, the impact of IT on society, social networking, and the ethics of IT corporations.

An understanding of data is fundamental to success in the digital age of business.  This course provides the theoretical foundation of data analytics as well as the application of data analysis tools.  Students will develop competencies to structure data and use data mining techniques in response to business scenario queries.  Students will experience how businesses rely on data analysis every day to make relevant, data-driven decisions.  Through projects and simulations, this course enables students to apply their technical skillsets to real-world business situations

This course is an introductory course in databases using Microsoft Access for Windows. Through a series of hands-on exercises, the student will create and manage databases. Topics include: creating, saving, formatting, and editing tables; designing reports; creating formulas; working with records; creating forms; writing queries; and establishing table relations.Â