The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
GenAI for Financial Analysts: Essential Predictive Analytics
In this course, you will take on a practical journey into how GenAI transforms financial forecasting, portfolio optimization, risk management, and reporting automation. You’ll explore how top institutions like investment banks, hedge funds, and fintech innovators are already integrating GenAI into their workflows—and you’ll gain the hands-on skills to do the same. Whether you want to forecast market trends more accurately, automate reporting tasks, or uncover insights hidden in massive datasets, this course equips you with the essential AI tools to upgrade your financial analysis game. This course is designed for financial analysts, data analysts, finance professionals, and business intelligence specialists who want to enhance their analytical capabilities using Generative AI. If you’re someone who works with financial data—whether you’re forecasting market trends, managing investment portfolios, preparing financial reports, or assessing risk—this course will show you how AI-powered tools can make your processes faster, smarter, and more accurate. You don’t need to be a machine learning expert; if you’re comfortable with Excel, Python basics, and financial analysis concepts, you’re ready to dive in and start applying GenAI to your financial workflows. To make the most of this course, you’ll need a basic understanding of financial analysis—including reading financial statements, analyzing market data, and understanding key financial metrics. You should also have hands-on experience with Excel, especially working with pivot tables, basic formulas, and data cleaning. Since we’ll be building and testing predictive models, some familiarity with Python is recommended, particularly libraries like pandas and matplotlib for data handling and visualization. Lastly, if you’ve worked with data visualization tools like Power BI or Tableau, that’s a bonus—but not strictly required. If you’re comfortable working with financial data and basic coding, you’re all set to dive into the world of GenAI-powered finance. By the end of this course, you’ll have a clear understanding of how to apply Generative AI in financial analysis, from building predictive models and automating financial reports to conducting risk assessments and optimizing portfolios. You won’t just learn theory—you’ll gain hands-on experience using real financial data and GenAI tools, giving you practical skills you can apply immediately in your work. As financial analysis evolves, the ability to work alongside AI will set you apart as a forward-thinking, tech-savvy financial professional. This is your first step toward becoming an AI-powered analyst—ready to lead in the future of finance.
Copenhagen Business School
AI and the Illusion of Intelligence
Will ArtificiaI Intelligence soon be surpassing humans? This is rapidly becoming one of the central questions of our time -- but it is the wrong question. In this course, we will provide a non-technical look at where AI has come from, and where it is going. We will see that there is no reason to expect that AI will be surpassing humans. Instead, what we are learning to create with AI is the illusion of intelligence. AI has actually been discussed for centuries, in fields like philosophy, linguistics and cognitive science. We will show that these perspectives help to shed light on current developments in AI, including impressive recent systems like GPT-3.
Fred Hutchinson Cancer Center
Practical Steps for Building Fair AI Algorithms
Algorithms increasingly help make high-stakes decisions in healthcare, criminal justice, hiring, and other important areas. This makes it essential that these algorithms be fair, but recent years have shown the many ways algorithms can have biases by age, gender, nationality, race, and other attributes. This course will teach you ten practical principles for designing fair algorithms. It will emphasize real-world relevance via concrete takeaways from case studies of modern algorithms, including those in criminal justice, healthcare, and large language models like ChatGPT. You will come away with an understanding of the basic rules to follow when trying to design fair algorithms, and assess algorithms for fairness. This course is aimed at a broad audience of students in high school or above who are interested in computer science and algorithm design. It will not require you to write code, and relevant computer science concepts will be explained at the beginning of the course. The course is designed to be useful to engineers and data scientists interested in building fair algorithms; policy-makers and managers interested in assessing algorithms for fairness; and all citizens of a society increasingly shaped by algorithmic decision-making.
Northeastern University
Intro to Finance in Healthcare
This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course. In this course, you will have an opportunity to explore concepts and topics related to accounting and finance basics for healthcare organizations. After an introduction to the financial statements of healthcare entities, you will then learn how to read, interpret, and use a financial statement in order to understand the financial health of an organization. Your attention will be primarily focused on the Balance Sheet and Income Statement and basics surrounding revenue and expenses. This course will tie together the financial elements learned, to the risks facing healthcare entities, as the industry continues to evolve from the COVID 19 pandemic and its resulting impact on labor, supply chain expenses, and value-based care reimbursement models. Throughout this course, you will be given the opportunity to evaluate your understanding through engagement in course discussions, application of course concepts to a course assignment, and through completion of content quizzes along the way.
AI Business School
Practical AI and prompting for sales professionals
Welcome to the “Practical AI and prompting for sales professionals” — a unique, hands-on course designed to help you get practically trained on various job-specific AI use cases and technologies across various modalities. You will discover AI-powered tools to enhance your daily tasks, gaining immediate hands-on experience. You will: - Intensively practice and apply AI-driven Sales-specific use cases—making AI a daily companion in your workflows and daily job routines. - Start to use AI technologies into your daily sales activities with hands-on exercises in interactive playgrounds and sandbox environments, increasing your confidence to experiment, iterate, and optimize AI-driven tools and technologies right in the course. - Master prompting techniques & discover prompting libraries for different Generative AI models to craft high-impact sales pitches, proposals, and product marketing materials—unlocking new ways to engage prospects and close deals faster. - Get inspired by participating in a project to conceptualize a personalized AI use case for your job role. Welcome to the unique “Practical AI and prompting for sales professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence.
UiPath
Data Manipulation in RPA
The Data Manipulation in RPA course will provide knowledge about Variables, Arguments, and Data Manipulation. It will also introduce you to Variables and Arguments, their types, and their application in automation projects. In the later part of the course, you will learn about data manipulation in Studio. You will also learn about the different methods and operations performed on different data types and their usage in automation projects. Building on each concept, there will be demonstration videos that will explain these operations and methods. The course has multiple practice exercises that will help strengthen your knowledge and understand the creation of workflows in Studio.
MedCerts
Medical Administrative Assistants and the Healthcare Team
In the Medical Administrative Assistants and the Healthcare Team course, students are provided three lessons to create a foundational understanding of medical administrative roles and the healthcare industry. The first lesson, The Medical Administrative Assistant, introduces the pivotal role, outlining responsibilities such as managing patient records, scheduling appointments, coordinating communications, and ensuring the smooth operation of medical offices. In the second lesson, Medical Industry and the Healthcare Team, students dive into the various sectors of healthcare and the roles of different professionals within the healthcare team. The importance of collaboration, communication, and patient-centered care in delivering high-quality services is emphasized. The third lesson, Daily Operations in the Ambulatory Care Setting, focuses on the operational aspects of ambulatory care settings, such as outpatient clinics and medical offices. Students will explore key topics including patient intake, appointment scheduling, medical records management, billing processes, and the efficient handling of daily tasks that support the delivery of care in these settings. This course is ideal for those looking to pursue a career in medical office administration, healthcare management, or patient coordination.
EDUCBA
Build & Analyze Financial Models: Twitter Case Study
By the end of this course, learners will be able to gather and analyze financial data, construct revenue models, prepare income statements and cash flow projections, and apply valuation techniques using a real-world case study of Twitter. The course equips participants with practical skills to interpret balance sheets, model debt and equity structures, calculate free cash flow, and integrate all statements into a final valuation-ready model. Learners will benefit from a step-by-step approach that combines theory with hands-on application, ensuring they can confidently link assumptions, projections, and financial statements. This course is unique because it applies financial modeling concepts directly to a globally recognized company, providing an engaging and practical framework for learning. Through guided modules, participants will not only strengthen their technical modeling expertise but also develop the ability to critically assess business performance and corporate value. Ideal for finance students, analysts, and professionals, this course bridges the gap between classroom concepts and real-world financial decision-making.
Packt
Hands-on with Windows Server 2019
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This hands-on course is designed to help you master the core features of Windows Server 2019. You’ll start with installing both the Desktop Experience and Server Core versions, followed by essential administration tools like Server Manager, Windows Admin Center, and PowerShell Remoting for remote server management. As you advance, you'll dive into key identity services such as Active Directory, Group Policy, and Certificate Services. You’ll also gain practical experience in deploying network services like DHCP and DNS. By the end of the course, you will be able to manage server environments, deploy and configure services, and troubleshoot issues using Performance Monitor and Event Viewer. Ideal for IT professionals and system administrators, this course requires basic knowledge of networking and IT infrastructure. No prior experience with Windows Server 2019 is required.
Pontificia Universidad Católica de Chile
Hacia una práctica constructivista en el aula
El curso trata temas fundamentales para lograr diseñar clases desde una concepción constructivista considerando diversidad de experiencias de aprendizaje e integración adecuada de la tecnología.
CertNexus
Internet of Things: Connectivity and Data Intelligence
In this course, you'll continue developing your IoT skills by communicating using wired devices, wireless devices, and Internet protocols. You'll also process IoT device input/output, process data in the cloud, and provide machine-to-machine (M2M) communication. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you purchase several electronics components that are used to create an IoT prototype kit. This kit is used in many of the activities to illustrate IoT concepts in a hands-on way. The total estimated cost for all parts is under $50. To source these components, consult the list of components in the course setup instructions provided in the first course.
The University of Melbourne
Foundations of International Psychiatry
What are some of the skills required when interviewing patients? What information is required when taking a patient history or completing a mental state examination? These are just some of the questions you'll seek answers to as you work through the course material. Mental health is an important public issue across the world, and the role of the psychiatrist is crucial in helping to address these. This course aims to give you a more nuanced understanding of the role of a psychiatrist, developing clinical skills and therapeutic relationships. Understanding the impact of mental illness in society and ethics in medicine are some of the key themes central to this course. This course is designed to provide essential background knowledge and practical skills that apply to any mental health clinical setting.
LearnQuest
Jakarta Persistence (JPA)
This course takes the student through a variety of labs exploring the interaction between Java Object Domain Models and Relational Database Tables, this is becoming the standard approach for database access in Java Applications. The course will illustrate how using meta data annotations, you can map domain objects to database tables, and class properties to columns in those tables for CRUD operations. The student will use numerous Query strategies to retrieve data from a database and consume the data in their applications with minimal effort. The course will talk about the how these meta data annotations can also map compositional and inheritance relationships between classes and a database schemas.
University of Michigan
Writing and Editing: Word Choice and Word Order
This course will teach you how to use your written words to become more persuasive. You’ll learn creative ways to use syntax, effective techniques for telling stories, and a clever method for arranging a complex series of information. You’ll also get a chance to both professionalize your use of punctuation and add a bit of style and sophistication to how you craft everything from sentences to slogans. In addition, you’ll get access to a wide range of books and other resources you can use even after you finish the course. These include (1) the readings and exercises provided to the students who have taken the in-person version of this course at the University of Michigan and the University of Chicago; (2) two digital libraries of excellent writing from a diverse collection of journalists, scientists, novelists, poets, historians, and entrepreneurs; and (3) a monthly “Good Sentences” email. Social media has only accelerated the ways in which we all must learn to use our writing to connect, compete, and create—sometimes all at once. So join us for this first course in a four-part series and experience the many benefits, both personal and professional, of becoming “good with words.”
Scrimba
JavaScript Interview Questions for Junior Developers
The JavaScript Coding Challenges course offers hands-on coding exercises to test your JavaScript knowledge while refining your problem-solving skills. Each lesson is crafted around real-world challenges, giving you the opportunity to implement core JavaScript concepts, from basic syntax to more advanced logic. Through a series of engaging challenges, you will tackle thought-provoking puzzles that encourage critical thinking and sharpen your ability to write efficient, well-structured code. Each task is designed to enhance your problem-solving skills, pushing you to think creatively while improving your understanding of JavaScript concepts and best practices. This course covers a range of practical scenarios, such as parsing strings, validating time formats, optimizing array operations, and more. By the end, you'll have enhanced your ability to solve common coding problems, and improved both your speed and accuracy with JavaScript.
Northeastern University
Software Quality Control and Management Part 1
Welcome to Software Quality Control and Management: Get ready to explore how quality assurance brings software to life! In this course, you’ll learn what Software Quality Assurance (SQA) is, why it matters, and how it fits into the Software Development Life Cycle (SDLC). You’ll see where development and QA teams collaborate to deliver reliable, high-performing products. You’ll dive into QA methodologies like Waterfall, Agile, and DevOps, discovering how testing adapts to each approach. You’ll also learn about the different phases and types of QA testing, from manual checks to full automation. Hands-on practice is a big part of this course—you’ll use two of the most common automation tools in the industry, UFT (Unified Functional Testing) and Selenium, to build your testing skills. By the end, you’ll also explore career opportunities in IT and QA, helping you understand how your new skills can open doors in the tech world.