The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Imperial College London
Health Systems Development: A Focus on Health Service Delivery and Human Resources for Health
This specialization is intended for people interested in health systems and how they function. Participants will learn about the global health systems landscape and the challenges and opportunities to achieve better health outcomes. This specialisation is divided into three courses which are offered as massive online open access courses (Courses 1-3), and a fourth course which is offered as part of the Online MPH degree (capstone). The Health Systems Development specialisation is geared toward learners who have no prior knowledge of health systems or those who are starting to explore this area of study. Overall, sessions in this specialisation span 16 week with approximately 96 hours of viewing learning materials per week. Formative assessments in the form of quizzes and activities are incorporated throughout the weeks to help learners gauge their level of depth of understanding and to prepare them for their summative assessments. Participants will have the opportunity to explore a range of areas within health systems. The first course will introduce the main building blocks of health systems and shed some light on key components of well-functioning health systems including how health system performance is assessed. In course two, students will learn how to conduct a health impact assessment and how to assess the impacts of policies, plans and projects, as well as how that support decision-makers make choices regarding alternatives and improvements to prevent disease or injury and to actively promote health. The third course explores human resources for health and service delivery. In this course, students will learn about and analyse country experiences in transforming health services delivery, and interventions and to address human resources for health challenges at a global level. By the end of this specialisation, learners should be able to identify key components of, and critically compare, different health systems; analyse country experiences in transforming services; and apply theoretical framework for assessing the health impacts of policies, plans and projects.
EDUCBA
Apply Advanced SQL Server Analytics and Programming
By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment. This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate JSON data, build and query graph databases for relationship-driven use cases, and execute R and Python scripts for analytics, data ingestion, and transformation. The course emphasizes practical application, enabling learners to process structured and unstructured data efficiently without moving data outside SQL Server. What makes this course unique is its unified approach to modern data handling within SQL Server—combining JSON, graph databases, R, and Python in a single advanced curriculum. By completing this course, learners will enhance their analytical skill set, improve data-driven decision-making, and be better prepared to handle real-world enterprise data challenges using SQL Server’s advanced features.
University of London
Citizenship and the Rule of Law
"Be you so high, the law is above you." This principle, part of the Rule of Law, has come to represent the powerful idea that even politicians and monarchs are bound by the law. However in an age of powerful corporations, international cyber-crime and popular support for authoritarian leaders, the Rule of Law is under threat worldwide. This course, run by the Bingham Centre of the British Institute of International and Comparative Law, will provide an introduction to headline issues around the Rule of Law. Each week we will tackle aspects of the Rule of Law and discuss how they are impacted by current events. The course will use video lectures, recommended reading, discussion questions and activities to enable you to develop your own perspective on the Rule of Law. Though this course sits at the intersection of law and politics, participants do not require any formal educational background in either of these subjects to join. The course will take place over 6 weeks with approximately 3 hours of content each week.
University of Virginia Darden School Foundation
Introduction to Digital Transformation Part 2
This course was designed to further your understanding of digital transformation so you can leverage digitization to improve business function performance. You'll learn how to build out your core digital infrastructure, with a focus on cloud computing, data integrity and digital platforms. You'll explore how digitization is transforming various business functions and organization units and learn how to identify the key drivers of and risks inherent in digital transformation, and consider the impact of emerging trends. By the end of this course, you'll be able to analyze your industry's digital transformation efforts and recommend new approaches to maximize performance.
Microsoft
First Steps in R: Importing and Exporting Data
This course teaches you how to efficiently import and export data in R using Microsoft Visual Studio Code. Through hands-on practice, you'll learn various methods to bring data into R from common file formats like CSV, Excel, and text files, as well as how to save your processed data. The course features practical exercises that prepare you for handling real-world data tasks in your analysis projects.
Microsoft
Full-Stack Integration
This course explores the architecture and components of full-stack development, focusing on API integration and state management. You'll learn to build and optimize full-stack projects, leveraging Microsoft Copilot for writing, debugging, and enhancing integration code. By the end of the course, you will be able to… Describe the components and architecture of full-stack development, techniques for handling API responses, and state management methods Explain the steps to set up a full-stack development environment, create and consume APIs in front-end applications, and concepts of asynchronous programming with APIs Define the basics of API consumption in Blazor applications, and state management in the context of full-stack applications Develop a full-stack integration project using Microsoft Copilot, including writing, debugging, and optimizing integration code
Coursera
Payables: Match, Enter, and Verify
Every year, organizations lose an estimated 5% of their revenue to payment fraud and processing errors. This course equips accounting professionals with the essential skills to safeguard financial transactions through systematic document verification and accurate data entry. This Short Course was created to help accounting professionals accomplish accurate payables processing and fraud prevention. By completing this course, you'll be able to confidently explain the three-way match process that protects your organization from unauthorized payments, and efficiently enter vendor invoices with precision and speed that ensures timely supplier relationships. By the end of this course, you will be able to: Understand the three-way match concept involving purchase orders, receiving reports, and invoices Apply procedures to accurately enter vendor invoices into a payables system This course is unique because it combines fundamental control concepts with hands-on software practice, preparing you for immediate workplace application using real-world scenarios and authentic business documents. To be successful in this project, you should have basic computer skills and familiarity with business documents.
Microsoft
Scenario and Root Cause Analysis with Generative AI
In this final course, you'll apply generative AI to scenario planning and root cause analysis. The target learner for this course is a seasoned data professional or an aspiring analyst. This comprehensive program empowers. Upon completion of this course, you'll be able to: - Conduct scenario analysis using generative AI models - Perform root cause analysis with AI assistance - Identify and assess potential risks using AI-powered techniques - Develop data-driven strategies based on AI-generated scenario insights
Coursera
Jira: Map, Analyze and Release
Jira: Map, Analyze & Release is a beginner-level course designed for aspiring project managers, scrum masters, and team leads seeking to elevate their agile practices. In modern development environments, project success depends on more than just managing a backlog; it requires strategic release planning and a formal process for continuous improvement. This course equips you with the essential techniques to bring clarity, focus, and data-driven decision-making to the forefront of your projects using Jira. You will receive in-depth instruction on story mapping, a powerful visual method for breaking down complex initiatives into a clear, actionable roadmap. Through hands-on activities, you will learn to construct a two-dimensional story map that organizes user activities and strategically slices work into incremental releases, ensuring each step delivers tangible value. The course will then teach you to harness quantitative data from sprint retrospectives, enabling you to extract and analyze key metrics like story point completion rates and bug counts. This analysis will empower you to uncover the hidden patterns and systemic impediments holding your team back. By the end of this course, you will be a strategic thinker capable of facilitating collaborative workshops, identifying the root causes of team challenges, and creating actionable implementation plans. You will be able to build a powerful feedback loop where insights from past sprints directly inform future planning, fostering a culture of continuous improvement and predictable delivery.
Coursera
إنشاء بورتفوليو تجربة المستخدم مع أدوبي بورتفوليو
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة واحدة، ستتعلم عن بورتفوليو تجربة المستخدم، وعن أدوبي بورتفوليو، وخطوات إنشاء بورتفوليو تجربة المستخدم على أدوبي بورتفوليو. في نهاية هذه الدورة التدريبية، ستكون قادراً على إنشاء بورتفوليو تجربة المستخدم على أدوبي بورتفوليو.
Coursera
Employee Attrition Prediction Using Machine Learning
In this project-based course, we will build, train and test a machine learning model to predict employee attrition using features such as employee job satisfaction, distance from work, compensation and performance. We will explore two machine learning algorithms, namely: (1) logistic regression classifier model and (2) Extreme Gradient Boosted Trees (XG-Boost). This project could be effectively applied in any Human Resources department to predict which employees are more likely to quit based on their features. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Coursera
Master GDAL CLI
This course introduces practical, command-line workflows for preparing raster data for analysis and cloud deployment using GDAL. You will build foundational skills in inspecting raster metadata, making informed reprojection decisions, and optimizing elevation datasets for cloud-based access using Cloud-Optimized GeoTIFFs (COGs). Through guided explanations, hands-on labs, and scenario-based reflection activities, you will explore how projection choice, resolution, resampling methods, internal tiling, compression, and overviews affect raster accuracy and performance. The course emphasizes intentional decision-making rather than default command usage, helping learners understand not just how to run GDAL tools, but why specific options matter in real-world geospatial workflows. You are required to have basic familiarity with raster data concepts and comfort using a command-line interface. However, no prior GDAL experience is required. By the end of the course, you will be able to confidently inspect, reproject, optimize, and validate digital elevation models (DEMs) for reliable analytical use and efficient cloud deployment.
University of Colorado Boulder
Resilience & Leadership: Concepts, Definitions, & Frameworks
Resilience & Leadership: Concepts, Definitions, & Frameworks is the first course in the specialization ‘Resilience Engineering and Leadership in Crisis’. The course introduces the common terms, definitions, and concepts that characterize resilient systems. Frameworks for resilience engineering and leadership in crisis are applied to complex systems and the built environment. Learners will explore a holistic approach to critical infrastructure resilience and apply a hazard and threat assessment protocol to a project scenario. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
AI CERTs
AI Policy Essentials
AI for Strategic Leadership equips current and aspiring leaders with the knowledge and frameworks needed to design, evaluate, and implement AI-enabled policies in complex organizational and public-sector environments. The course explores how artificial intelligence is reshaping governance, economic strategy, risk management, and cross-border collaboration, helping leaders move from AI awareness to informed decision-making. Learners will examine the role of AI in public policy, regulation, sustainability, cybersecurity, and ethical governance, with a strong focus on fairness, transparency, and accountability. Through case-based learning and real-world examples, the program demonstrates how AI can support data-driven policy design, stakeholder engagement, and long-term strategic planning. The course also addresses legal and regulatory considerations, AI risk management, and the societal implications of emerging technologies, enabling leaders to anticipate challenges and craft adaptive, future-ready policies. Designed for professionals across government, business, and global organizations, this self-paced program combines structured learning with practical insights to help leaders confidently guide AI-driven initiatives and governance strategies in a rapidly evolving world.
Packt
Hands-on Python for Networking Professionals
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 will learn how to leverage Python to automate and simplify tasks within the field of networking. You will gain hands-on experience with tools and scripts that streamline common networking tasks such as error handling, environment variable management, and remote system interactions. By using Python, you can scale your network management, improve reproducibility, and reduce the time spent on repetitive tasks. The course begins with an introduction to Python basics for network professionals. You will explore building command-line interfaces (CLI), managing environment variables, and automating HTTP, SSH, FTP, and Telnet connections. You'll be guided through practical exercises, such as creating interactive prompts and building tools to interact with remote systems, ensuring you understand every step of the process. You will also dive into the application of your programming skills. This includes packet sniffing for network diagnostics, building a subnet calculator, and configuring network devices using Telnet and the netmiko library. These real-world applications will allow you to develop the skills necessary to solve networking problems efficiently with Python. This course is designed for networking professionals who want to harness the power of Python to streamline their workflows. No prior programming experience is required, but familiarity with networking concepts will help. This is an intermediate-level course focused on practical applications in network management and automation.
Johns Hopkins University
تحليل البيانات الاستكشافية
يغطي هذا المقرر التقنيات الاستكشافية الأساسية لتلخيص البيانات. يتم تطبيق هذه الأساليب عادة قبل أن تبدأ النمذجة الرسمية ويمكن أن تساعد في تطوير نماذج إحصائية أكثر تعقيدًا. تعد التقنيات الاستكشافية مهمة أيضًا لإزالة أو شحذ الفرضيات المحتملة حول العالم التي يمكن معالجتها بواسطة البيانات. سنغطي بالتفصيل أنظمة التخطيط في R بالإضافة إلى بعض المبادئ الأساسية لإنشاء رسومات البيانات. سنغطي أيضًا بعض الأساليب الإحصائية الشائعة متعددة المتغيرات المستخدمة لتصور البيانات عالية الأبعاد.