The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
PySide2 Project - Employee Management Application
This project-based course is designed to guide learners through the complete development lifecycle of a desktop-based Employee Management Application using PySide2. Through a structured, modular approach, learners will identify the goals of the project, set up the development environment, and construct an intuitive graphical user interface (GUI) using core PySide2 components such as QMainWindow, QPushButton, QLineEdit, and QTableWidget. By working with real-world data handling scenarios, learners will also implement CSV file operations to store and retrieve employee information—laying the foundation for robust data-driven applications. The course promotes practical skills by encouraging learners to analyze, develop, and demonstrate a working CRUD-like system for desktop environments. Throughout the course, learners will progressively apply design concepts, organize modular pages, and evaluate output through GUI feedback—culminating in a fully functional employee management solution. This course is ideal for aspiring desktop developers and Python programmers seeking hands-on experience with GUI programming using PySide2.
University of Pennsylvania
Fundamentals of Quantitative Modeling
How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization.
Board Infinity
Effective Code Review Practices
Unlock better code quality and team collaboration with our "Introduction to Code Review" course. Designed for developers, software engineers, and technical leads, this course provides the essential foundations and practical skills to conduct effective code reviews. From understanding what code review is and why it matters to mastering feedback techniques, tools, and advanced strategies, you’ll gain the knowledge to improve software reliability, security, and maintainability. With real-world examples, hands-on exercises, and coverage of modern tools like GitHub, GitLab, and Bitbucket, you’ll learn how to set up review workflows, identify bugs and vulnerabilities, optimize performance, and foster a culture of constructive feedback and continuous improvement. By the end of this course, you will be equipped to: - Explain the purpose, process, and best practices of code review. - Use code review tools, workflows, and static analysis to identify issues early. - Apply effective review techniques to improve readability, maintainability, and security. - Provide constructive feedback and build a positive code review culture in teams. Note: This course is ideal for software developers, QA engineers, team leads, and technical professionals aiming to enhance their collaboration and code quality practices. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Utrecht University
Clinical Epidemiology
Evidence forms the basis of modern medicine. Clinical research provides us with this evidence, guiding health professionals towards solutions to problems that they face in daily practice. Transferring existing problems in medical practice to a research setting is a challenging process that requires careful consideration. The practice of clinical epidemiology aims to address this through the application of established approaches for research in human populations, while at all times focussing on the problem at hand from a clinical perspective. This course teaches the principles and practice of clinical epidemiology, drawing on real problems faced by medical professionals and elaborating on existing examples of clinical research. Medical researchers will lean how to translate real clinical problems into tangible research questions for investigation, gaining insight into some of the most important considerations when designing an epidemiological study along the way. Core concepts will be introduced along four key themes: diagnosis, prognosis, treatment and etiology. Followers of this course will develop their understanding of the topics addressed through lectures from experts, peer interaction and review assignments.
Coursera
Automate, Prioritize, and Project Backlogs
Are you buried in administrative tasks, struggling to see the strategic big picture? This course is for you. In "Automate, Prioritize, and Project Backlogs," you'll learn how to transform your project management workflow by partnering with AI. We'll show you how to identify routine duties—like drafting status updates or summarizing meetings—that can be delegated to an AI assistant, freeing you to focus on what truly matters. You'll get hands-on experience using AI tools like Asana to instantly bring order to a chaotic backlog, turning a messy to-do list into a clear, prioritized plan. More importantly, you'll master the essential skill of applying human oversight to AI-generated results, learning how to make critical adjustments and justify your decisions. By the end of this course, you will be able to confidently blend automated efficiency with your own strategic expertise, ensuring your team is always focused on the most impactful work.
EDUCBA
ChatGPT: Build, Integrate & Deploy AI Apps
By the end of this course, learners will be able to set up ChatGPT environments, integrate the OpenAI API with Python, deploy serverless functions on Azure, and create AI-powered applications using Microsoft Power Automate, Teams, Power Apps, and Bubble.io. They will also design real-world projects such as a MealPlan generator and a Personal Finance assistant. This course provides a step-by-step, hands-on approach that combines coding, automation, and no-code platforms, making it accessible for both beginners and professionals. Learners will benefit from mastering prompt engineering, understanding GPT models, and building practical workflows that bring ChatGPT into real business and personal applications. What makes this course unique is its comprehensive coverage of both low-code/no-code integration and serverless cloud deployment, enabling learners to not only understand the theory but also implement real-world solutions. Whether you are a developer, data enthusiast, or business professional, this course equips you with the skills to transform ChatGPT into powerful, scalable, and customizable applications.
Microsoft
Manage Resources in Azure
In this course, you will learn how to work with the Azure command line and web portal to create, manage, and control cloud-based resources. You will look at all three approaches to deploying cloud resources and how to make an informed decision about which one to leverage for your services. You'll also quickly look at the service models supported by Azure which can help you determine the services you should start with when planning out an Azure deployment. You will learn how to install the Azure CLI locally and use it to manage Azure resources. You will also use Azure PowerShell interactively for one-off tasks and write scripts to automate repeated tasks. You'll learn about the major factors that influence the cost of running in the cloud. Along the way, you'll get hands-on experience with some of the tools you can use to estimate the costs of running your workloads on Azure to help ensure that you stay within budget and use only the services that you need. Azure Resource Manager has a number of features that you can use to organize resources, enforce standards, and protect critical Azure resources from accidental deletion. In this module, you'll take a tour through these features, and examine how you can use them to your advantage. You'll identify incorrectly assigned resources in Azure. You'll also assess whether resources can be moved, and validate a resource move operation. Then you'll move and verify resources between Azure resource groups. This course will help you prepare for the Microsoft Certified: Azure Developer Associate certification. In this course, you will take a practice exam that covers key skills measured in the exam. This is the fifth course in a program of 8 courses to help prepare you to take the exam. This course is part of a Specialization intended for developers who want to demonstrate their expertise in all phases of cloud development from requirements, definition, and design; to development, deployment, and maintenance; to performance tuning and monitoring. It is ideal for anyone interested in preparing for the AZ-204: Developing Solutions for Microsoft Azure exam. By the end of this program you will be ready to take and sign-up for the Exam AZ-204: Developing Solutions for Microsoft Azure.
Coursera
Foundations of Effective Sales Pipeline Management
This course, "How to Generate and Maintain a Healthy Sales Pipeline," provides a comprehensive guide for beginner to intermediate salespeople across all industries. It covers the fundamentals of what a sales pipeline is, its importance, and the essential components that make it effective. In this course, the learners will explore various strategies for generating leads, managing daily activities, and utilizing tools to keep the pipeline full and moving. This course is designed for sales professionals at the beginner to intermediate levels across various industries, including sales representatives, account managers, business development professionals, and team leaders responsible for managing and expanding sales pipelines. Entrepreneurs and small business owners looking to improve their sales processes will also benefit from this course as it offers strategies for consistent sales performance. Participants should have a basic understanding of sales concepts and terminology. Familiarity with customer relationship management (CRM) tools and basic sales techniques is recommended. The course is suitable for individuals with some experience in sales or business development roles or those who have completed introductory sales training. By the end of this course, participants will be able to demonstrate knowledge of the key stages of a sales pipeline, apply lead generation techniques, utilize CRM tools and sales automation technologies to improve efficiency, and build and maintain a healthy pipeline for long-term sales success.
Coursera
Creating Engaging Presentations with Mentimeter
By the end of this project, you will be able to use Mentimeter to create live polls, quizzes and more in order to check for student understanding. Whether you are teaching online or in person, Mentimeter has the tools you need to engage and assess your class. Once you are confident with using Mentimeter, you will be able to train your students as well. This will create greater independence and mastery of technology that will allow your students to share their learning in new ways. *You will need a free trial of Mentimeter for this project.
IE Business School
Competitive Interactions and Disruptive Change
In the following course, you will explore the dynamics of market competition, where you'll learn strategies to maintain market position against lower-priced competitors. Study case studies, understand economic factors, and delve into benchmarking. Learn to navigate industry disruptions with a deep understanding of competitive interactions and strategy development for change.
ESSEC Business School
Foundations of strategic business analytics
Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. With this course, you’ll have a first overview on Strategic Business Analytics topics. We’ll discuss a wide variety of applications of Business Analytics. From Marketing to Supply Chain or Credit Scoring and HR Analytics, etc. We’ll cover many different data analytics techniques, each time explaining how to be relevant for your business. We’ll pay special attention to how you can produce convincing, actionable, and efficient insights. We'll also present you with different data analytics tools to be applied to different types of issues. By doing so, we’ll help you develop four sets of skills needed to leverage value from data: Analytics, IT, Business and Communication. By the end of this MOOC, you should be able to approach a business issue using Analytics by (1) qualifying the issue at hand in quantitative terms, (2) conducting relevant data analyses, and (3) presenting your conclusions and recommendations in a business-oriented, actionable and efficient way. Prerequisites : 1/ Be able to use R or to program 2/ To know the fundamentals of databases, data analysis (regression, classification, clustering) We give credit to Pauline Glikman, Albane Gaubert, Elias Abou Khalil-Lanvin (Students at ESSEC BUSINESS SCHOOL) for their contribution to this course design.
AI CERTs
AI For Healthcare Professionals
AI for Healthcare Professionals is designed for medical assistants, clinical staff, and healthcare administrators who want to integrate AI into patient care, clinical workflows, and medical administration. This program focuses on real-world applications of AI in healthcare—from patient intake and appointment scheduling to medical documentation, diagnostics support, and clinical data analysis. You’ll learn how AI tools enhance communication, automate repetitive tasks, improve accuracy, and support faster decision-making within healthcare environments. The course introduces practical platforms, including Electronic Health Record (EHR) systems, patient scheduling and coordination tools, NLP documentation assistants, AI-powered diagnostic platforms, and data tools like Python, SQL, Power BI, and healthcare automation systems. You’ll explore patient-facing AI (triage chatbots, symptom checkers), workflow automation (EHR integration, data entry, billing support), and diagnostics assistance (screening, monitoring, reporting) using tools such as TensorFlow, Keras, NLP engines, and medical imaging analysis tools. With a balance of practical training, ethical guidance, and hands-on labs, this certification prepares learners to support healthcare teams, boost operational efficiency, and elevate patient experience. By the end, you’ll be equipped to confidently apply AI solutions in hospitals, clinics, telehealth setups, and healthcare administration environments.
Packt
Excel 365 Intermediate – Data Analysis & Advanced Functions
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 intermediate-level course on Microsoft Excel 365, you will master data analysis techniques and advanced functions that will enhance your efficiency and precision. You’ll learn key skills like logical functions, lookup formulas, data validation, and how to apply advanced statistical and mathematical operations. By the end of the course, you will be confident in using Excel’s more complex tools to organize and analyze large datasets with ease. The course is designed to take you on a structured journey, starting with essential spreadsheet design principles, then progressing to advanced functions like logical operations, sorting, filtering, and analyzing data. You will also dive into Excel’s powerful features such as PivotTables and PivotCharts, learning how to visualize and interact with your data dynamically. From conditional formatting to data manipulation, you will gain practical skills applicable in both professional and personal settings. This course is suitable for those who already have basic Excel knowledge and are eager to enhance their skills. Whether you're a professional looking to improve your data analysis capabilities or a student aiming to master advanced Excel functions, this course will provide valuable knowledge for various scenarios. The course is designed for intermediate learners, but no specific prerequisites are required beyond basic Excel knowledge. By the end of the course, you will be able to create advanced Excel functions, analyze data with PivotTables and charts, manipulate datasets with arrays, and apply logical functions to make better data-driven decisions.
Universitat Politècnica de València
Basic Math: Derivatives
This course provides a comprehensive overview of the fundamental principles of differential calculus. It is designed for students in their early university years who require a solid grounding in mathematics. The primary goal is to explore key concepts related to functions and derivatives, along with their practical applications.
Starweaver
Introduction to Engineering Design
In today's fast-paced technological environment, understanding the fundamentals of engineering design is crucial for aspiring engineers and professionals alike. This comprehensive course serves as a primer, introducing participants to key concepts and methodologies essential for designing innovative solutions to complex problems. It provides an overview of the engineering design process, emphasizing the integration of creativity and functionality in problem-solving. Key skills covered in this course include creative problem-solving techniques specific to design engineering, utilization of computer-aided design (CAD) and simulation tools, project management strategies, and critical analysis for refining design concepts. Participants should have a general interest in engineering and design, along with a basic understanding of mathematics and science to fully engage with the course materials and exercises. The course spans 4.0 hours and caters to participants ranging from beginner to intermediate levels. It is suitable for engineering students, aspiring designers, technical project managers, product developers, and professionals with an interest in engineering and product design. By the end of this course, participants will have gained a solid understanding of the foundational principles of engineering design and its pivotal role in problem-solving and innovation. Practical skills will be developed through hands-on exercises covering the entire design process, from conceptualization and analysis to prototyping and evaluation. Additionally, participants will learn to leverage modern engineering tools and software to enhance both the creative and technical aspects of their projects.
EDUCBA
Analyze Strategic Management and Business Policy Ecosystems
Learners will analyze strategic management principles, evaluate business policy frameworks, interpret strategic decision-making processes, and assess the roles of stakeholders, entrepreneurs, and consultants within a dynamic strategic ecosystem. By the end of this course, learners will be able to comprehend, define, and apply strategy concepts to real-world organizational contexts while aligning decisions with long-term vision and values. This course provides a structured and conceptual exploration of strategic management as an integrated ecosystem rather than a set of isolated tools. Learners gain clarity on the purpose and genetics of business policy, understand how competence and capability drive execution, and explore how strategic flexibility and elasticity enable organizations to adapt in uncertain environments. Through progressive modules, the course connects strategy formulation with operational execution, ethical considerations, and professional orientation. What makes this course unique is its strong emphasis on strategic ethos, policy discourse, and ecosystem thinking. Instead of focusing solely on competitive tactics, it develops a holistic understanding of how strategy, policy, stakeholders, and advisory roles interact to shape sustainable organizational success. This course is ideal for learners seeking conceptual depth, strategic clarity, and a systems-level perspective on strategic management.