Online Bachelor’s Degree in Business Analytics

This course provides an overview of Business Information Systems. Students learn to apply Microsoft Office (TM) tools including word processing, spreadsheet, database, and presentation software to accomplish business objectives. Other topics include uses of application software and the Internet for effective problem solving, exploration of relevant emerging technologies, and how information is used across different industries.

This course introduces practices in data analytics foundational to the industry and the field of data analytics. Covered are information systems, the phases of the analytics lifecycle, exploration, analysis and validation of data, relevant statistics for data modeling, data visualization, and the tools used for data analytics.

This course provides an overview of advanced spreadsheet functions used in data analysis. Topics include filters, sorts, lookups, formulas, functions, macros, pivot tables, graphs and charts, dashboards, forms, reports, queries, statistical analyses, and data validation.

This course will provide students with an overview of the role that business analytics has in the preparation and implementation of change management throughout a project. Students will examine the functions of change management to apply them to activities to meet the strategic and operational plans of an organization. Upon completion of this course, students will understand the importance of the integration of data and decision making on change processes and project management methodologies to implement changes throughout an organization. Focus will also be on managing change to ensure high performance, quality, and operational effectiveness.

This course covers fundamental database concepts including SQL, non-relational databases, distributed databases and database architectures. Students are provided an overview for how to manage, display, sort, group, retrieve, and organize data for the application or tool associated with the software development taking place within an organization.

Structured Query Language (SQL) is a domain-specific language used to store, query, and manipulate data within databases. This course provides an overview of SQL and relational database applications with a focus on SQL syntax, data types, keywords, functions, structured and unstructured data, and data modeling.

This course examines ethical considerations in the use of data and analytics to support business decision-making. Students explore topics such as data privacy, bias in data and analysis, responsible use of data, and the impact of data- and AI-driven decisions on organizations and stakeholders. The course emphasizes applying ethical frameworks to evaluate analytical practices and ensure that data is used responsibly to support organizational objectives.

This course focuses on preparing data for analysis in business environments. Students develop skills in cleaning, transforming, and validating data to ensure accuracy and usability for decision-making. Topics include handling missing and inconsistent data, data transformation techniques, data quality assessment, and preparing datasets for analysis and reporting. Emphasis is placed on applying data preparation practices to support reliable business insights and decision-making.

This course provides an overview of applied business research, statistical tools, and data analytics used to support strategic decision making. Students will examine methods used to frame business problems, conduct research, collect and evaluate data for validity and reliability, determine patterns and trends in performance, and effectively present conclusions.

This course will introduce students to data analytics and modeling through contemporary business tools. Students will examine how data is architected and organized. After completion of this course, students will be able to understand the different data models used to store data, identify several schemas that drive how data is structured, and explain other database concepts relating to the design and architecture of data.

This course provides an overview of Exploratory Data Analysis (EDA), including the cleaning, preparation, exploration, and visualization of data. Students will review machine learning algorithms, neural networks, and Artificial Intelligence (AI) concepts used to analyze data sets and build intelligent applications.

This course introduces students to tools and techniques needed to present data, both simple and complex, to gain support and recommend business decisions. Student will use graphical tools such as graphs, animation, and presentation techniques to communicate the message behind the data and improve decision making. Topics include requirement gathering, graphical representation of data sets, visualization techniques and tools, and data validation.  

This course provides an overview of business analysis with an in-depth examination of planning and monitoring, elicitation and collaboration, and requirements life cycle management. Students will examine key aspects of planning, stakeholder engagement, governance, information management, performance improvement, elicitation, communication, collaboration, prioritization, and assessment related to business analysis.

This course provides an overview of web analytics and diagnostic tools used to collect and analyze marketing data. Students will examine methods used to improve market penetration, brand recognition, customer loyalty, and overall marketing performance.

This course examines the use of business intelligence in value-driven decision making. Topics include data preparation, modeling, visualization, and analysis, as well as the deployment and management of datasets, workspaces, and other deliverables for business analysis and forecasting needs.

This course focuses on managing analytics projects within business environments. Students learn how to plan, execute, and monitor analytics initiatives that support organizational decision-making. Topics include project scoping, stakeholder coordination, resource planning, and delivery of analytical insights. Emphasis is placed on aligning analytics work with business objectives and ensuring that project outcomes support actionable decision-making.

This course examines how organizations use data and analytics to inform strategic decisions and drive competitive advantage. Students analyze how data supports planning, performance measurement, and strategic alignment. The course emphasizes integrating analytical insights into business strategy and organizational decision-making.

This course focuses on applying analytical models to real-world business problems. Students explore decision modeling techniques, including optimization, forecasting, and scenario analysis, to evaluate alternatives and recommend solutions. Emphasis is placed on using analytical tools to support operational and managerial decision-making.

This capstone course integrates knowledge and skills acquired throughout the program to address a complex business problem using data analytics. Students analyze real or simulated datasets, develop insights, and create data visualizations to support recommendations. The course emphasizes communication of findings to stakeholders and alignment of analytics with organizational goals.

<p>This course transitions students through the foundations of study at University of Phoenix. Students develop personal strategies for achieving educational goals; and develop skills in critical thinking, collaboration, and communication.</p>

This course provides an overview of the key components of comprehensive wellness. Based on a preventive model, the course will allow learners to explore choices that promote wellness with goals of living longer and better.

Students learn how to think critically, focusing on developing the necessary tools and skills to analyze problems, make decisions, and formulate well-supported points of view on key academic, social, and professional issues.

This course introduces theories and concepts in psychology that will foster academic success and provide students with opportunities to synthesize and apply that knowledge.

This course develops the reading, writing, and critical thinking skills that are essential for academic and life success.

This course will introduce students to the scientific principles that are required to identify environmental phenomenon. Students will explore the composition and processes of Earth's lithosphere, atmosphere, hydrosphere, and biosphere to examine environmental impact and mitigation of environmental risk.

This course extends practice in critical reading, writing, and thinking. Emphasis is given to developing an effective writing process that takes into account audience and rhetorical purpose.

In this course, you will learn important mathematical concepts that prepare you for success in future courses, your professional career, and your everyday life. You will review basic mathematical concepts, explore how to solve problems with shapes, and learn the principles of basic algebra in an environment that demonstrates how all these concepts are applied in the real world.

Students apply advanced quantitative reasoning skills to solve real-world problems. This course emphasizes modelling skills, statistical methods, and probability to create, analyze, and communicate solutions.

This foundational course will equip you with an understanding of generative AI technology and its growing role in academic and professional settings. You'll begin with an introduction to the core concepts of generative AI, building a foundation for exploring how generative models work and how they are applied in real-world contexts. The course emphasizes the development of durable skills essential for thriving in an AI-assisted workforce, such as problem-solving, communication, adaptability, and creative thinking. You will also examine the ethical considerations surrounding AI, including issues of bias, fairness, and the broader impacts of its use in the workplace and society. Through practical examples and case studies, you will explore real-world applications of generative AI and consider how these technologies can enhance productivity and creativity when used responsibly. By the end of the course, you will have a strong conceptual understanding of generative AI and strategies for evaluating and engaging with these technologies to support your academic and professional goals.

This course introduces students to thinking about and working with numbers by examining the day-to-day and societal importance of money.

The course provides an introduction to the most prominent forms of media that influence and impact social, business, political, and popular culture in contemporary America. It explores the unique aspects of each medium as well as interactions across various media that combine to create rich environments for information sharing, entertainment, business, and social interaction in the United States and around the world.

This course introduces students to the foundations of communication in a business setting. After completion of this course, students will be able to identify the types and purposes of various business documents; create messages using appropriate channels for delivery based on context, audience and purpose; understand the needs created by changes in technology such as social media on business communication; and identify ethical, cross-cultural, and multinational issues in business communication.

This course introduces the fundamentals of computer systems, digital technologies, and information systems. Students explore data management, networking, Internet technologies, digital tools, cybersecurity, and emerging technologies.

This course takes a practical approach to building effective teams, fostering collaboration, and resolving conflict constructively. Students apply teamwork principles in academic and professional environments while developing strategies for long-term success. The course also explores how backgrounds, perspectives, and differences among individuals influence group dynamics and outcomes.

<p>This course will provide students with the basic concepts of oral presentations. Students will be able to develop and deliver effective individual and group presentations in classroom and professional settings. The course is also designed to provide a maximum opportunity for practice and evaluation of presentation techniques.</p>

This course offers a foundation in the visual arts, elements, styles, and critical analysis for beginning art students. Emphasis is on identifying and explaining styles of visual arts from various cultures, eras, and places. The course focuses on the interpretation of art to understand meaning, and the ability to make critical judgment based on principles of art.

This course provides an overview of leadership theories, models, and principles. Students will gain insight into effective leadership attributes, leadership styles, organizational vision, corporate responsibility, and ethical practices.

This course prepares students to understand the influence that behavior has on leading and managing organizations. After completion of this course, students will be able to describe the role of a manager within an organization, summarize key concepts and terminology related to organizational behavior, explain the influence of leadership styles on individual performance, examine the roles and interaction of group and team members, describe the relationship between job fit, job satisfaction, and job performance, and the relationship between the human resource function and organizational development.

This course provides students with an overview of the legal, ethical, and related statutory and regulatory environment in which businesses, organizations, and individuals within them function. After completion of this course, students will be able to understand the general structure of the court systems in the United States, describe the alternative means of resolving disputes and their respective advantages and disadvantages, evaluate the frameworks for regulatory compliance and corporate social responsibility, examine the principle areas of business law, and understand intellectual property rights.

Effective decision making takes a variety of perspectives and information into account, using reliable sources and reasoned approaches in support of an overall strategy. This course investigates business tactics and problem-solving techniques used in long- and short-term planning, organizational governance, innovation and creative disruption, and efficiency improvement. Topics include business model analysis and design, resource allocation, quality enhancement, contingency planning, and entrepreneurship.