The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Columbia University
The Construction Industry: The Way Forward
This final course in the specialization provides an introduction on types of the construction projects as well as the main concern of the productivity challenge in the construction industry. Through case studies, you will learn the industry characteristics and its unique environment that led to such productivity performance as well as touch base on other several examples of challenges we are facing internally in the industry. In the 2nd part of the course, Professor Odeh will give an overview of 10 mega trends that are making us change the way we think about construction. Furthermore, Professor Odeh will discuss the main role of three levels on what needs to be done: an industry collaborative effort and role; a government role; and last but not least a company role. In this discussion, Professor Odeh will also touch base on several technological and innovative trends that are rising in our construction industry. By the end of this course, you will be able to: -Understand the overall history of construction industry -Analyze the optimal ways to respond to the opportunities and challenges brought by current industrial trends such as aging infrastructure, climate change, sustainability trends and tools, the rise of urbanization, and an aging/shrinking workforce -Recognize the importance of collaborating with governments and public officials in pursuit of industry transformation -Comprehend the rising technological trends in the AEC industry and give examples of how to apply technology to the construction industry
IBM
AI Workflow: Data Analysis and Hypothesis Testing
This is the second course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. In this course you will begin your work for a hypothetical streaming media company by doing exploratory data analysis (EDA). Best practices for data visualization, handling missing data, and hypothesis testing will be introduced to you as part of your work. You will learn techniques of estimation with probability distributions and extending these estimates to apply null hypothesis significance tests. You will apply what you learn through two hands on case studies: data visualization and multiple testing using a simple pipeline. By the end of this course you should be able to: 1. List several best practices concerning EDA and data visualization 2. Create a simple dashboard in Watson Studio 3. Describe strategies for dealing with missing data 4. Explain the difference between imputation and multiple imputation 5. Employ common distributions to answer questions about event probabilities 6. Explain the investigative role of hypothesis testing in EDA 7. Apply several methods for dealing with multiple testing Who should take this course? This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. What skills should you have? It is assumed that you have completed Course 1 of the IBM AI Enterprise Workflow specialization and have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.
Alex Genadinik
Cryptocurrency Security: Cold Storage & Paper Wallets
Learn correct, good-practice ways to handle your Cryptocurrency. In this course, you'll learn the most secure ways to store your digital assets, pitfalls of each method, and pros and cons of each method. COLD STORAGE Cold storage is when you store your Cryptocurrency offline so online hackers can't reach your Cryptocurrency. While this gives you security against hackers, it makes your Cryptocurrency susceptible to your own human errors or accidents like loss, theft, or simply forgetting where you put your offline wallet. PAPER CRYPTOCURRENCY AND BITOIN WALLETS This class focuses heavily on paper wallets because they are one of the common forms of cold storage. Paper wallets are what they sound like - you save your public and private keys on a piece of paper, and never share it online so hackers can't get to them. I'll show you how to do it correctly, and how to avoid common pitfalls when using paper wallets. HARDWARE CRYPTOCURRENCY AND BITOIN WALLETS Hardware wallets are another type of cold storage. Many hardware wallets are in the form of USB drives that are specifically made for storing and making transactions with Cryptocurrency. DIVERSIFYING YOUR STORAGE TYPES? It's OK to have some Cryptocurrency in offline wallets and some in online wallets. We'll discuss you can decide on what proportion is right for you for your lifestyle. Invest in your future. Enroll today!
University of Maryland, College Park
Storytelling That Delivers Program and Project Outcomes
Learn how great program and project managers use their storytelling skills to create compelling project visions, persuade stakeholders, and design effective risk management strategies to deliver project outcomes. Program and project managers are master storytellers. They have to be in order to weave high-priority information into a memorable narrative for their people. Customers must commit to and understand their goals, and how the program is meeting them. Stakeholders need to trust the direction and stay engaged with the program intent. Program and project teams and leaders, need to understand what matters and how their work connects to the greater whole. Storytelling is something that successful program or project managers learn from years of experience. If storytelling is not on the PMP exam or similar project management certification exams, why should you bother learning how to tell good stories? Because, human brains are naturally designed for stories. We have brain structures devoted to making sense of the world in cause-effect terms. Good stories are like flight simulators in that you can try out various approaches to a problem before tackling the real problem. Risk management for programs and projects is more effective when using compelling narratives. Stories are also effective ways to transmit large amounts of information to your project teams and stakeholders. People can remember more information and act effectively on that information. For agile project management, stories are how customers communicate their requirements to the agile project team. Stories are the foundation of persuasive communication and will help you become an expert communicator. Earn 10 professional development units (PDUs) while completing the only professional certification program that helps you develop storytelling as part of your collection of project management tools.
Rutgers the State University of New Jersey
Health Care Delivery in Healthcare Organizations
Have you ever needed health care and thought that there must be better ways to get or deliver health care? For example, have you found yourself thinking that there should be a way to get a diagnostic test or treatment at home? Or do you work in a healthcare organization and find yourself thinking that there must be better ways to deliver health care? If you have, this course is for you. Course content includes an overview of health care delivery including healthcare consumerism, the patient's perspective, health care delivery for sickness and treatment, as well as health care delivery for health and wellness. The course provides links to external sites to connect you to the larger "real world" of healthcare organizations and health care delivery. The links also serve as resources you can take with you after you complete the course experience. And because everyone loves a road trip/field trip, there are also "virtual field trips" to the often hidden places of interest on the web. The course format is readings, videos, quizzes, and a brief electronic PowerPoint presentation project (PowerPoint only - no oral presentation). The PowerPoint project requires you to synthesize course material to design a patient-centered health care delivery system the way you would have things run in the best of all worlds. The electronic PowerPoint presentation file is an artifact of the course which you can circulate to colleagues or use for a talk or presentation event.
University of Illinois Urbana-Champaign
Introduction to Accounting Data Analytics and Visualization
Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R. We’ve divided the course into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results. In the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations. In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create effective visualizations. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We introduce Visual Basic for Applications as an example of a programming language, and the Visual Basic Editor as an example of an integrated development environment (IDE).
MedCerts
Medical Terminology and the Human Body Fundamentals
In this Introduction to Medical Terminology and the Human Body course, you will learn about the medical language that is used to describe the human body. Throughout each Lesson, the roots of terms are explained to help students understand how medical terminology works in healthcare and to increase their knowledge and understanding of the material discussed. This course will provide you with a better understanding and working knowledge of medicine that is required for understanding of medical records used for multiple purposes and job duties in the medical field. Lessons include: Introduction to Medical Terminology, Introduction to Anatomy, Physiology and Pathology, Cells – The Foundation of Life, and The Human Body.
DeepLearning.AI
Open Source Models with Hugging Face
The availability of models and their weights for anyone to download enables a broader range of developers to innovate and create. In this course, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Easily package your code into a user-friendly app that you can run on the cloud using Gradio and Hugging Face Spaces. You will: 1. Use the transformers library to turn a small language model into a chatbot capable of multi-turn conversations to answer follow-up questions. 2. Translate between languages, summarize documents, and measure the similarity between two pieces of text, which can be used for search and retrieval. 3. Convert audio to text with Automatic Speech Recognition (ASR), and convert text to audio using Text to Speech (TTS). 4. Perform zero-shot audio classification, to classify audio without fine-tuning the model. 5. Generate an audio narration describing an image by combining object detection and text-to-speech models. 6. Identify objects or regions in an image by prompting a zero-shot image segmentation model with points to identify the object that you want to select. 7. Implement visual question answering, image search, image captioning and other multimodal tasks. 8. Share your AI app using Gradio and Hugging Face Spaces to run your applications in a user-friendly interface on the cloud or as an API. The course will provide you with the building blocks that you can combine into a pipeline to build your AI-enabled applications!
AI Business School
AI agents and creator tools for sales professionals
Welcome to the “AI agents and creator tools for sales professionals” — the final step in your AI learning journey. This course is built for sales professionals who are ready to go beyond using AI and start creating with it. You’ll gainYou will be able to: - Understand AI-related productivity essentials and the productivity impact of cutting-edge technologies - Differentiate cutting-edge technologies, apps and concepts like Agentic Workflows, autonomous AI Agents, and Agent Swarms - Understand how to create Sales-specific AI tools by leveraging modern creator tools - Start creating no-code AI apps, agentic workflows and agents and customize them to your specific job requirements - Develop your skills from AI user to AI innovator and creator, leading AI adoption and transformation within Sales Welcome to the unique “AI agents and creator tools for sales professionals” course. Just start your AI journey and discover all the fascinating opportunities opened up for you by Artificial Intelligence. hands-on experience building custom AI tools, workflows, and agents that directly enhance your sales performance and help drive productivity in your team and organization.
Packt
Introduction to Blender and 3D Modeling Techniques
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. In this course, you’ll gain hands-on experience with Blender, one of the most powerful and widely used 3D modeling tools. Starting with the basics, you'll learn to navigate the interface and understand fundamental 3D concepts like modeling and texturing. By the end, you'll have built a robust 3D model that showcases your newly acquired skills. The course begins by teaching you the basics of Blender, followed by practical exercises on references and gray boxes to help you set up your first models. As you progress, you’ll dive into important concepts like UV mapping, mesh editing techniques, and optimization. Each section builds on the last, adding complexity with advanced mesh techniques, working with materials and shaders, and refining textures to improve your models’ realism. You’ll also explore important workflow improvements, including scene optimization and asset management to streamline your work in Blender. Practical lessons teach you how to create structural elements like bolts, supports, and roof structures, adding realism to your designs while fine-tuning the materials and shaders you’ve created. This course is perfect for beginners with an interest in 3D modeling, animation, or game design. No prior experience with Blender is required, and the course provides a hands-on approach with plenty of practice, perfect for anyone looking to start creating 3D models from scratch.
The University of Edinburgh
Astrobiology and the Search for Extraterrestrial Life
Learn about the origin and evolution of life and the search for life beyond the Earth. Learners can apply for Financial Aid directly with Coursera to assist with the cost of accessing the full course and gaining a certificate for successfully completing the course.
Google Cloud
API Development on Google Cloud's Apigee API Platform
In this course, you learn how to create APIs that utilize multiple services and how you can use custom code on Apigee. You will also learn about fault handling, and how to share logic between proxies. You learn about traffic management and caching. You also create a developer portal, and publish your API to the portal. You learn about logging and analytics, as well as CI/CD and the different deployment models supported by Apigee. Through a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.This is the third and final course of the Developing APIs with Google Cloud's Apigee API Platform course series.
Google Cloud
Agentes de IA generativa: transforme sua organização
Agentes de IA generativa: transforme sua organização é o quinto e último curso do programa de aprendizado de liderança em IA generativa. Nele, você aprende como as organizações podem usar agentes de IA generativa personalizados para enfrentar desafios específicos nos negócios. Você aprende na prática a construir um agente básico de IA generativa e quais são os componentes desses agentes, como modelos, ciclos de raciocínio e ferramentas.
Packt
Flux CD for the Absolute Beginners - Hands-On DevOps
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. Flux CD for Absolute Beginners - Hands-On DevOps is designed to provide a deep, hands-on understanding of Flux CD and its role in automating Kubernetes deployments using GitOps principles. By the end of this course, you’ll have the practical skills to set up and manage Flux CD in real-world scenarios, from installation to complex deployment strategies. You will learn how Flux CD automates application deployment and enhances the scalability and manageability of Kubernetes workloads. The course starts with an introduction to GitOps and Flux CD, breaking down the core principles and features of Flux CD. You’ll get to explore the Flux CLI, how to install Flux CD on a Kubernetes cluster, and an introduction to the key controllers like Source and Kustomize. As you progress, you'll dive deeper into the architecture of Flux CD, along with detailed demonstrations of deploying applications using Kustomize, Helm, OCI registries, and integrating with private repositories. Throughout the course, you will perform practical, hands-on activities including integrating with external repositories and configuring image automation controllers. The journey continues with notifications and monitoring using Prometheus and Grafana, along with an exploration of Flux CD's user interfaces and security considerations. By the end of the course, you'll be fully equipped to manage a complete GitOps deployment pipeline with Flux CD. This course is ideal for DevOps enthusiasts, Kubernetes practitioners, and anyone looking to implement GitOps in real-world applications. It is beginner-friendly, though some familiarity with Kubernetes concepts is beneficial. By the end of the course, you will be able to set up Flux CD on Kubernetes, deploy applications using Kustomize and Helm, integrate with private and OCI repositories, automate image updates, set up notifications, and monitor your deployments using Prometheus and Grafana.
Scrum Alliance
Agile Essentials
In this course, learners will build a clear understanding of what agility is and how it shapes the way modern teams work. They will learn core agile values and principles, explore how agile teams are structured, and understand how roles, responsibilities, and measures of success shift in agile environments. Completing this course helps professionals move beyond surface-level familiarity with agile terms and frameworks. Learners gain practical insight into how agility supports collaboration, adaptability, and continuous improvement in real team settings. The course also helps individuals understand how their own performance and behaviors contribute to team effectiveness and outcomes. What makes this course unique is its focus on agility as a way of working, not just a set of practices. Rather than teaching one framework in isolation, the course explores how agile thinking applies across teams, roles, and organizations. Designed by Scrum Alliance, Agile Essentials provides a strong foundation for product professionals who want to operate confidently in modern, evolving work environments.
Coursera
GenAI for Software Engineering Teams
"GenAI for Software Engineering Teams" is an intensive one-hour course designed to transform the way software engineering teams operate. This course places a strong emphasis on collaborative methodologies and tools, empowering software engineering teams to enhance cross-functional integration, teamwork, and overall collaboration. This course is tailored for software engineers, developers, project managers, and other professionals involved in software development within an organization. It is ideal for individuals looking to enhance their collaborative skills, leverage AI tools for improved project outcomes, and address ethical considerations related to AI integration in software development. While not mandatory, having a basic understanding of software development principles and practices, familiarity with project management methodologies (e.g., Agile, Scrum), and comfort with using collaborative tools and platforms will help participants make the most of the course content and discussions. Additionally, the course covers essential topics related to the ethical use of AI and the challenges of incorporating advanced AI tools into existing software development workflows. By the end of the course, participants will understand how to effectively implement GenAI within their software engineering functions to meet organizational objectives.