The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Networking and Troubleshooting IT Systems
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 in-depth course, you'll master the essential networking and troubleshooting skills required in the IT industry. Starting with foundational concepts such as networking protocols, operating system networking, and troubleshooting techniques, the course will guide you through tools and strategies to diagnose and resolve issues effectively. You will explore a wide range of technologies from TCP/IP to wireless networking, as well as hands-on practices in solving common network and system issues that you’ll encounter as an IT technician. The journey begins with command-line interface (CLI) techniques, empowering you to navigate through directories, work with files, and manage system resources. You'll gain expertise in advanced commands for both Windows and Linux environments and even get an introduction to scripting for automating tasks. From there, the course dives into key networking concepts like DNS, IP addressing, routers, and firewalls, providing you with a deep understanding of how systems communicate over the network. Troubleshooting becomes a crucial aspect of your learning, with extensive coverage of various repair tools, recovery environments, and diagnostic utilities. The course is perfect for IT enthusiasts, aspiring network administrators, and anyone eager to understand networking fundamentals. It’s ideal for beginners, with no prior networking experience required, though an understanding of basic computing can be helpful. By the end, you’ll be proficient in diagnosing networking issues, performing system repairs, and setting up both local and wide area networks. By the end of the course, you will be able to troubleshoot and resolve common networking issues, configure and manage routers, firewalls, and wireless networks, as well as use command-line tools effectively for a range of system tasks. You will also gain confidence in setting up virtual LANs (VLANs) and managing IP addressing and NAT for efficient network communication.
Amazon Web Services
Migrating to the AWS Cloud
This introductory course is for anyone who wants a deeper dive into AWS migration. Whether you want to understand what services are helpful, need to plan a migration for your organization, or are helping other groups with their own migration, you will find valuable information throughout this course. The course sessions structure cloud migration through the three-phase migration process from AWS: assess, mobilize, and migrate and modernize. This process is designed to help your organization approach and implement a migration of tens, hundreds, or thousands of applications. By learning about this three-phase structure—and the various AWS tools, features, and services that can help you during each phase—you will complete this course with a better understanding of how to design and implement migrations to AWS.
Amazon Web Services
Generative AI for Executives
This course provides a high-level picture of generative AI. Learners explore what generative AI is, how it can address executives’ concerns and challenges, and how it supports business growth. They also learn how generative AI has the potential to revolutionize numerous industries.
University of Maryland, College Park
Legal Foundations for Entrepreneurs
By its nature, the law touches on many aspects of entrepreneurship, making it an applicable and versatile topic of study. For aspiring entrepreneurs, it's important to understand how to form the business and work with the initial customers. For active entrepreneurs, there are critical considerations on employment law and operating policies. For everyone, the role that the law plays in managing the company, and its associated risks, must be properly understood to navigate challenges and capitalize on opportunities. With the aspiring and active entrepreneur in mind, this course focuses on the foundational elements of law. We'll begin with an introduction to the nature of law and modern legal systems and sources. Initial priorities, including what legal activities you may pursue on your own, versus when and how to select and work with an attorney, are explored. Business formation choices and considerations are also central points of discussion. Employments laws and liabilities are examined, with the closing topic being entering and existing your business. "Legal Foundations for Entrepreneurs" is one of three courses in the "Legal Aspects of Entrepreneurship Specialization" by Coursera and the University of Maryland. This specialization explores the critical legal and business issues entrepreneurs face as they build and launch a new venture. Learners examine real-world scenarios and address legal and business issues from ideation to all of the important junctures along the path to success. Significant attention is placed on new venture formation, intellectual property management, and contracts and financing arrangements.
Coursera
Improve Business Performance with Microsoft Forms
Microsoft Forms can serve as a tool to help you survey both external and internal stakeholders as you work on improving your business performance. Business leaders can gain a 360 degree view of their business - or particular product or service line - through the use of surveys. By creating a strong objective first, a business leader can make a variety of surveys using the free, online program, Microsoft Forms, to gain insight from multiple stakeholders of their company. Through the input from both internal employees and external customers, business leaders can make important decisions about how to move their company forward. Follow this step-by-step guided project to discover how Microsoft Forms can be a strong tool to get this important business insight. First, learners will discover how to create a survey in Microsoft Forms by writing a strong objective. Next, learners will see how to create customer satisfaction surveys and employee satisfaction surveys and how each one serves different purposes in improving business performance. Then, learners will discover how to finalize and send the surveys before finally learning how to analyze the responses in a way that can lead to improved performance.
Microsoft
Prepare for DP-100: Data Science on Microsoft Azure Exam
Microsoft certifications give you a professional advantage by providing globally recognized and industry-endorsed evidence of mastering skills in digital and cloud businesses. In this course, you will prepare to take the DP-100 Azure Data Scientist Associate certification exam. You will refresh your knowledge of how to plan and create a suitable working environment for data science workloads on Azure, run data experiments, and train predictive models. In addition, you will recap on how to manage, optimize, and deploy machine learning models into production. You will test your knowledge in a practice exam mapped to all the main topics covered in the DP-100 exam, ensuring you’re well prepared for certification success. You will also get a more detailed overview of the Microsoft certification program and where you can go next in your career. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the DP-100 proctored exam. By the end of this course, you will be ready to sign-up for and take the DP-100 exam. This is the fifth course in a five-course program that prepares you to take the DP-100: Designing and Implementing a Data Science Solution on Azure certification exam. The certification exam is an opportunity to prove knowledge and expertise operate machine learning solutions at a cloud-scale using Azure Machine Learning. This specialization teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Each course teaches you the concepts and skills that are measured by the exam. This Specialization is intended for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. It teaches data scientists how to create end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions, and implement responsible machine learning. They will also learn to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
Coursera
Conflict Resolution & Mediation: Managing Workplace Harmony
Attention workplace leaders and aspiring conflict resolution experts! Are you ready to transform how you manage workplace challenges and build stronger, more collaborative teams? This course is your gateway to mastering the skills that turn conflicts into opportunities for growth and innovation. Here’s a reality check: unresolved workplace conflicts cost organizations billions annually in lost productivity, low morale, and employee turnover. However, workplaces with effective conflict management strategies experience a 50% boost in team performance and engagement. The message is clear – investing in these skills is essential for creating a thriving, high-performing organization. We understand you’re managing busy schedules and competing priorities, and the last thing you need is another generic training session. That’s why this course is designed to deliver practical, actionable strategies that make an immediate impact. Forget the fluff – we’re here to provide the tools you need to lead with confidence and resolve conflicts effectively. Here’s what you’ll gain from this course: 1. A clear understanding of what effective conflict resolution looks like and how to navigate complex workplace dynamics. 2. Proven strategies and tools to mediate disputes, foster trust, and enhance communication – no advanced degrees required. 3. Insights into handling challenging scenarios with fairness, addressing biases, and ensuring resolutions are sustainable and ethical. This course is designed for HR professionals, team leads, managers, workplace mediators, and employees who are eager to strengthen their interpersonal skills. Whether you're responsible for resolving team disputes or simply want to navigate challenging conversations with more confidence, this course offers valuable tools and frameworks. It’s particularly suited for individuals in leadership roles who aim to foster a more collaborative and high-performing team culture. To get the most out of this course, learners should have a foundational understanding of workplace dynamics and team collaboration. This includes familiarity with how teams function, common interpersonal challenges, and the basic roles and responsibilities within an organizational structure. While no formal training in conflict resolution is required, a general awareness of workplace communication and team interactions will help learners engage more deeply with the course content. By the end of this course, learners will be equipped to analyze complex workplace dynamics and identify the underlying causes of conflict. They will develop the ability to select and apply appropriate resolution strategies based on context and stakeholder needs. Learners will also gain the confidence to facilitate mediation sessions and navigate emotionally charged conversations. Ultimately, they will leave with a toolkit of techniques to promote ongoing harmony and collaboration within their teams.
Coursera
Financial Statements: Compile & Classify Accounts
Did you know that 82% of small businesses fail due to poor financial management and unclear cash flow visibility? This Short Course was created to help accounting professionals accomplish accurate financial statement preparation from trial balance data. By completing this course, you'll be able to confidently extract trial balance reports, categorize accounts using spreadsheet functions, and create professional income statements that provide clear financial performance insights you can apply immediately in your daily bookkeeping responsibilities. By the end of this course, you will be able to: Apply spreadsheet formulas to compile a simple income statement from trial balance data. Explain the classification of general ledger accounts within financial statements. This course is unique because it bridges the gap between raw accounting data and professional financial reporting, giving you practical Excel and QuickBooks integration skills that transform complex ledger information into clear, actionable business intelligence. To be successful in this project, you should have a background in basic bookkeeping principles and familiarity with spreadsheet software
Northeastern University
Web Design and User Experience Engineering Part 1
Introduces the fundamentals of developing web user-interface/user-experience (UI/UX). This course will focus on core concepts and best practices involved in developing web applications that are not tied to specific libraries or frameworks. Topics include HTML, CSS, Javascript, and basic accessibility (a11y).
Google Cloud
Model Armor: 안전한 AI 배포
이 과정에서는 Model Armor의 필수 보안 기능을 검토하고 서비스를 사용할 수 있도록 준비합니다. LLM과 관련된 보안 위험과 Model Armor가 AI 애플리케이션을 보호하는 방법을 알아봅니다.
Google Cloud
Networking in Google Cloud: Fundamentals - Português Brasileiro
Networking in Google Cloud é uma série de 6 cursos. Este é o primeiro curso deles, Networking in Google Cloud: Fundamentals. Este curso apresenta uma visão geral completa dos conceitos fundamentais de rede, incluindo princípios básicos, nuvens privadas virtuais (VPCs) e compartilhamento de redes VPC. Ele também aborda técnicas de geração de registros e monitoramento de rede.
Adobe
Build Creative Concepts for Real Projects
Every creative journey begins with a spark—an idea, an image, or a question that won’t let go. Turning that spark into something real takes more than talent; it takes an entrepreneurial mindset built on curiosity, adaptability, and a willingness to experiment. In Think Like a Creative Entrepreneur, you’ll learn how imagination becomes action by exploring how design thinking and creative problem-solving fuel new opportunities. Using Adobe Firefly and Express, you’ll practice AI-assisted brainstorming, rapid iteration, and early concept development. You’ll learn to make ideas visible quickly, test assumptions, and communicate value with clarity and confidence. Each step focuses on building momentum rather than perfection. By the end of the course, you’ll create a visual concept map, a creative brief, and a lightweight plan that helps you move ideas forward. You’ll leave seeing yourself not only as a creative thinker, but as a creative entrepreneur ready to shape possibility into action.
University of Illinois Urbana-Champaign
Advanced Financial Reporting: Accounting for Business Combinations and Preparation of Consolidated Financial Statements
This course covers the accounting for business combinations (ASC 805), the preparation of consolidated financial statements (ASC 810), and other related topics including, but not limited to: step-by-step acquisition, deconsolidation, segments reporting, and the goodwill impairment test. This course begins with a discussion of the scope of ASC 805 and the differences between business combinations and asset acquisitions. Next, the course explores the measurement and recognition principles of the acquisition method to account for business combinations. Then, the course covers the consolidation process. You will learn how to prepare the consolidated financial statements and make all of the necessary consolidation adjustments.
EDUCBA
Predictive Modeling with Python: Apply & Evaluate
By the end of this course, learners will be able to identify, apply, analyze, and evaluate predictive analytics techniques using Python. They will gain hands-on skills in data preprocessing, regression modeling, logistic regression, and credit risk analysis, equipping them to solve real-world data challenges with confidence. This comprehensive program begins with the foundations of predictive modeling, guiding learners through data preparation, dummy variables, feature scaling, and basic regression concepts. It progresses to mastering linear regression, covering model fitting, handling multicollinearity, and optimizing models through backward elimination and adjusted R². Learners then enhance their models by analyzing correlations, calculating RMSE, and applying advanced validation techniques. The course deepens into logistic regression, focusing on classification, confusion matrices, ROC curves, and threshold adjustments to evaluate performance effectively. Finally, learners apply their knowledge in a credit risk case study, gaining practical experience with encoding, missing value treatment, outlier handling, and AUC-based evaluation. What makes this course unique is its step-by-step blend of theory and hands-on practice using real datasets, ensuring learners not only understand the concepts but can apply and evaluate predictive models in professional contexts.
Packt
Advanced Projects and API Integration with jQuery
Updated in May 2025. This course now 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. Dive deep into advanced jQuery techniques with this comprehensive course. Start with AJAX and JSON to integrate and retrieve data from various APIs seamlessly. Each lesson builds on the previous, ensuring thorough understanding. Explore shorthand methods and connect multiple web APIs, enhancing dynamic data handling. Progress through projects like a YouTube API app, setting up a web app, obtaining a developer key, and customizing results. Engage in fun projects like a Whack-a-Mole and a Memory Game, demonstrating jQuery's versatility and enhancing coding skills. By the end, you'll have a portfolio showcasing advanced jQuery skills, including an image carousel with jQuery, JavaScript, HTML, and CSS. Ideal for web developers with basic jQuery, HTML, and CSS knowledge, this course deepens skills in API integration, AJAX, and dynamic projects. Fundamental JavaScript knowledge is recommended.
Google Cloud
Responsible AI: Applying AI Principles with GC - 简体中文
"随着企业对人工智能和机器学习的应用越来越广泛，以负责任的方式构建这些技术也变得更加重要。但对很多企业而言，真正践行 Responsible AI 并非易事。如果您有意了解如何在组织内践行 Responsible AI，本课程正适合您。 本课程将介绍 Google Cloud 目前如何践行 Responsible AI，以及从中总结的最佳实践和经验教训，便于您以此为框架构建自己的 Responsible AI 方法。"