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In this course, you will apply visual design principles to create high-fidelity mockups, considering platform-specific design patterns and best practices, while incorporating user feedback from usability testing.

In this course, you will learn the business value and product capabilities of Power Platform. You will create simple Power Apps, connect data with Microsoft Dataverse, build a Power BI Dashboard, automate a process with Power Automate, and build a chatbot with Power Virtual Agents. After completing this course, you’ll be able to: • Describe the business value of Power Platform • Identify the core components of Power Platform • Demonstrate the capabilities of Power BI • Describe the capabilities of Power Apps • Demonstrate the business value of Power Virtual Agents This is a great way to prepare for the Microsoft PL-900 exam. By passing the PL-900 exam, you’ll earn the Microsoft Power Platform Fundamentals Certificate.

This course will provide you with the essential skills to handle media relations effectively and manage crises with confidence. In this course, you will: • Identify the core principles, frameworks, and strategies for effective crisis communication, describing different types of crises and their corresponding communication approaches. • Formulate media engagement strategies specifically for crisis situations by aligning media and internal messages with the needs of stakeholders. • Develop a plan to cultivate and maintain positive relationships with media professionals and leverage those relationships for brand building. • Identify how to use AI tools to augment and improve crisis communication processes. • Develop a crisis communication plan that integrates media relations strategies and AI capabilities. By the end of this course, you will have a robust understanding of how to manage media relations and handle crises efficiently, utilizing modern AI tools to enhance your strategies.

In this course you’ll cover the fundamentals of cloud computing, exploring key concepts, Azure services, and management tools. You’ll engage in hands-on projects, applying your knowledge to optimize resources using Azure Resource Manager (ARM) templates, Azure Policy, and Azure Monitor. You’ll also gain practical insights into automated deployment, governance, and resource optimization within the Azure ecosystem. After completing this course, you’ll be able to: • Discuss the basics and benefits of cloud computing. • Describe various cloud computing models and their applications. • Describe core Azure services, their features, and applications. • Discuss advanced features and capabilities of Azure services. • Implement comprehensive monitoring with Azure Monitor. This is also a great way to prepare for the Microsoft AZ-900 exam. By passing the AZ-900 exam, you’ll earn the Microsoft Azure Fundamentals certification.

Did you know that the global AI market is expected to reach $997.77 billion by 2028? As AI technologies rapidly expand across industries, understanding their ethical and regulatory implications has never been more important. This short course was created to help technology, legal, and policy professionals gain a deep understanding of the ethical and regulatory landscape surrounding generative AI. After completing this course, you will be able to confidently navigate and implement AI compliance strategies, ensuring your organization meets both ethical standards and regulatory requirements. More specifically, in this 3-hour course, you will learn how to recognize potential risks associated with generative AI, understand global regulations and their impact, and develop robust compliance strategies. This project is unique because it addresses the pressing issue of ethical oversight in AI applications, which is critical for any professional working on AI implementations. To succeed in this project, you will need a basic understanding of AI concepts and an interest in the ethical implications and legal frameworks.

This course will introduce you to the practice of data analytics as it applies to the business world. We will examine key areas such as the analytical process, how data is created, stored, and accessed, and how an organization works with data and creates an environment in which analytics can thrive. What you learn in this course will give you a solid foundation in all the areas that support analytics and will help you better position yourself for success within your organization. You will gain the skills and perspective that will make you more productive faster and enable you to become a valuable asset to your organization. This course also lays the foundation for delving into advanced research and computational techniques that you have the opportunity to learn in subsequent courses in the Business Data Analytics Specialization.

Welcome to the second course of the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their underlying principles. By the end of this course, you will have a solid foundation in predictive analytics, which refers to the tools and techniques for building statistical or machine learning models that make predictions from data. You will learn how to conduct exploratory data analysis to gain insights and prepare data for predictive modeling, an important skill valued in business. You will also learn how to summarize and visualize data sets using graphs to present results in a compelling and meaningful way. We will use practical predictive modeling software, XLMiner, which is a popular Excel plugin. This course is designed for anyone interested in using data to gain insights and make better business decisions. The techniques discussed apply across all functional areas of business organizations, including accounting, finance, human resources, marketing, operations, and strategic planning. Suggested prerequisites for this course include a prior working knowledge of Excel, introductory algebra, and basic statistics.

Few forms of communication can have the same impact as a powerful presentation. Even a short speech can move people to change long-held beliefs or take action, and a great speech can transform an ordinary person into a leader. In this course, Professor William Kuskin provides a series of pragmatic videos and exercises for successful public speaking and presentation. The course progresses through four themes - conquering fear, developing a creative formula, using verbal and body language, and anticipating your audience - so that you can unleash your personal power as a speaker and deliver excellent presentations. Successful presentations don’t depend on perfect teeth, a deep voice, or an army of scriptwriters. They rely on many of the same skills that successful business writing and graphic design do: clarity, structure, and editing. That’s why this course is designed to give you the power to unleash your inner speaker and express it to the world. After this course, with a little practice, you’ll be able to walk into any situation and command the room as much as you want. This course can be taken for credit toward CU Boulder’s Master of Science in Data Science (MS-DS) program, offered on Coursera. The MS-DS is an interdisciplinary degree that features faculty from CU Boulder’s Applied Mathematics, Computer Science, Information Science, and other departments. The MS-DS program, which is outcomes-based and requires no application, is ideal for individuals with broad educational and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

In the Effective Communication Capstone, students apply lessons in business writing, graphic design, and effective presentation to create a portfolio that demonstrates their writing, design, and presentation skills and expresses their personal brand. The portfolio includes three distinct elements—a written memo, a slide deck, and a presentation—all united by a theme. We provide elements for a basic portfolio, but we also encourage our students to create their own project if they choose. This self-designed Challenge Capstone allows students to meaningfully engage in their world by choosing a project that relates to their current job or by volunteering to write, design, and present for a community organization of their choice. Upon successful completion of the Capstone, students will achieve three primary goals: 1. They will hone their writing, design, and presentation skills and create a portfolio for job search and/or professional application; 2. They will mold these skills into a unique signature style; and, if they choose, 3. They will have a transformative impact on the world around them. Ultimately, the value of a Capstone Portfolio is greater than the sum of its individual parts. Its true purpose is for each student to transform themselves and be their best self. We invite you to discover your talents, and we can’t wait to see the results! This course may be taken for credit toward CU Boulder’s Master of Science in Data Science (MS-DS) program, offered on Coursera. The MS-DS is an interdisciplinary degree that features faculty from CU Boulder’s Applied Mathematics, Computer Science, Information Science, and other departments. An outcomes-based program with no application requirement, the MS-DS is ideal for individuals with broad educational and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Welcome to the Introduction to Embedded Software and Development Environments course. This course aims to give you real-world coding experience and hands-on projects with ARM-based microcontrollers. You will learn how to implement software configuration management and develop embedded software applications. Course assignments include creating a build system with the GNU Toolchain GCC, using the Git version control system, and developing software on Linux in a virtual machine. The course culminates with a project in which you create your own build system and firmware capable of manipulating memory. The second course in this two-course series, Embedded Software and Hardware Architecture, will use hardware to program and debug bare-metal microcontrollers. Using the Texas Instruments MSP432 Development Kit, you will configure a variety of peripherals, write a variety of programs, and see how your work will be implemented on your own embedded platform!

The motion of bodies in space (such as spacecraft, satellites, and space stations) must be predicted and controlled with high accuracy to ensure safety and efficiency. Kinematics is the field that develops descriptions and predictions of the motion of these bodies in three-dimensional space. This kinematics course covers four main areas: an introduction to particle kinematics, a deep dive into rigid body kinematics in two parts (starting with the classical description of motion using a matrix of Euler direction cosines and angles, and ending with an overview of modern descriptors such as quaternions, classical, and modified Rodrigues parameters). The course concludes with a look at static orientation determination, using modern algorithms to predict and perform relative orientations of bodies in space. After completing this course, you will be able to... Differentiate a vector observed in another rotating frame and derive frame-dependent velocity and acceleration vectors Apply the transfer theorem to solve particle kinematic problems and translate between different sets of orientation descriptions Add and subtract relative orientation descriptions and numerically integrate these descriptions to predict orientation over time Derive fundamental properties of the orientation coordinates of rigid bodies and determine orientation from a series of heading measurements

This course will teach you the skills needed to program specific orientation and achieve precise targeting of spacecraft moving in three-dimensional space. We first review definitions of stability of nonlinear dynamical systems, covering the difference between local and global stability. We then analyze and apply the direct Lyapunov method to prove these stability properties and develop a nonlinear 3-axis guidance control law using Lyapunov theory. Finally, we consider alternative feedback control laws and closed-loop dynamics. After this course you will be able to... Distinguish between a number of nonlinear stability concepts Apply the direct Lyapunov method to prove the stability and convergence of a number of dynamic systems Develop measures of velocity and setup error for 3-axis guidance control using Lyapunov theory Analyze the convergence of rigid body control with unmodeled moment