The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Michigan
Human Capital: Teams, Unions, and Change Management
With “Human Capital: Teams, Unions, and Change Management,” you’ll learn how to transform the way you manage teams and understand human resources. Dive into a comprehensive journey that emphasizes the importance of diversity, equity, inclusion, and belonging within the workplace and equips you with the essential tools to manage diverse teams effectively. This course uniquely bridges the gap between HR and labor relations in unionized environments, comparing and contrasting their roles to give you a holistic understanding of workplace dynamics. Additionally, you will develop innovative change management strategies grounded in contemporary HR models and theories. Learn to navigate and influence employer-employee relationships, leveraging humor and negotiation to foster a positive and productive work environment. With a focus on practical application and current industry practices, this course prepares you not just to meet but to exceed the challenges of the modern workforce. Embrace the opportunity to become a catalyst for change and a champion of inclusive, effective team management. This is the third course in “Extraordinary Human Capital Management,” a course series for human resource professionals interested in advancing their skills to align with organizational and employee needs.
Coursera
Public Health Principles: Systems and Strategies
In this course, you’ll examine how public health systems operate, the principles that guide them, and the strategies needed to drive meaningful change. Led by Dr. Jose Prabhu J, this course blends systems thinking with strategic frameworks to equip you for leadership in an evolving public health landscape. You’ll explore the essential functions of public health, learn to evaluate policy and program effectiveness, design behavior driven communication campaigns, and harness multi-sector collaboration to enhance health outcomes. This course is designed for public health students, healthcare professionals, policymakers, nonprofit leaders, social workers, and educators who are involved in shaping health policies, managing programs, or engaging with communities. It equips learners across sectors with practical tools and strategies to innovate and improve public health systems. Learners should have basic knowledge of public health principles like epidemiology and disease prevention and be comfortable interpreting data and evaluating health programs. Familiarity with community engagement and cross-sector collaboration is helpful, but no advanced technical skills are required. By the end of this course, you'll be ready to design and support public health strategies that drive real impact. Whether improving communication, promoting equity, or responding to crises, you’ll have the skills to lead with clarity, apply systems thinking, and create lasting change.
Coursera
Automate and Verify Marketing Reports Accurately
Did you know that poor data quality costs organizations an average of $15 million annually? This Short Course was created to help digital marketing professionals accomplish reliable, automated reporting that stakeholders can trust for critical business decisions. By completing this course, you'll be able to configure automated workflows that keep your marketing dashboards current without manual intervention, and systematically validate report accuracy against source data to catch discrepancies before they impact decision-making. These skills will immediately enhance your value as a marketing analyst and ensure your reports become the trusted foundation for strategic planning. By the end of this course, you will be able to: Apply automated workflows to update and maintain marketing dashboards. Evaluate the accuracy of reports by validating metrics against source data and documenting discrepancies. This course is unique because it combines technical automation skills with rigorous data validation methodologies, ensuring you not only create efficient reporting processes but also maintain the data integrity that executive teams depend on. To be successful in this course, you should have basic experience with marketing analytics platforms and spreadsheet applications.
University of Maryland, College Park
Hardware Security
In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and the physical attacks to these systems. They will learn that security starts from hardware design and be familiar with the tools and skills to build secure and trusted hardware.
Queen Mary University of London
Cloud Computing Law: Transactions
Have you ever wondered what’s in the small print of cloud contracts? Or who owns the information you upload to the cloud? And who can access and control it? If so, then this course is for you! You’ll learn to identify the legal risks involved in cloud computing transactions - and to suggest possible solutions. To understand how cloud computing works, we’ll first describe different kinds of cloud services and explain how they differ from in-house IT in terms of control, access, and cybersecurity. To understand how the law applies to cloud computing transactions, we’ll focus on the contracts between cloud providers and their customers. You’ll learn to identify and interpret key contract terms and to assess whether customers might negotiate better terms with providers. Finally, we’ll explain how English law protects trade secrets and copyright works stored in the cloud. If you’re a lawyer, this course will be your guide to cloud infrastructure and supply chains. If you have a technical or commercial background, this course will introduce you to key legal issues in contracts and intellectual property. In short, if you’re interested in how the law applies to cloud computing, this course is for you.
Packt
Deep Neural Network for Beginners Using Python
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. Are you ready to become a deep learning expert? This step-by-step course guides you from basic to advanced levels in deep learning using Python, the hottest language for machine learning. Each tutorial builds on previous knowledge and assigns tasks solved in the next video. You will: - Learn to train machines to predict like humans by mastering data preprocessing, general machine learning concepts, and deep neural networks (DNNs). - Cover the architecture of neural networks, the Gradient Descent algorithm, and implementing DNNs using NumPy and Python. - Understand DNN methodologies with real-world datasets, such as the IRIS dataset. Designed for those interested in data science or advancing their skills in DNNs, this course requires a background in deep learning and a basic understanding of Python and mathematics will be helpful. It’s clear and beginner-friendly, teaching theoretical concepts followed by practical implementation.
University of London
Data Science Project Capstone: Predicting Bicycle Rental
This course is the seventh of eight. In this project, we will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day. Using historical data, we will consider factors such as weather conditions, the day of the week, and other relevant variables to accurately predict daily bicycle rentals. This will help ensure that our bicycle rental service is prepared with the appropriate number of bicycles each day. We will learn specifically about data acquisition and correlation.
Dartmouth College
Engineering of Structures: Shear and Bending
This course deals with shear and bending. Shear is a set of parallel, non-collinear forces acting across an element and bending is the curved form taken by a slender element when subjected to loads perpendicular to the element. These forces are easy to understand. You will study how stress and bending force acts for different structures and also, identify what role these forces play in their designs. The first module introduces you to the concept of shear and bending while building structures. The second module explores different understanding of stress and bending. It defines important terms used to understand these forces. It also studies the impact of shear and compression on beams of different materials. You will also learn how to calculate shear stresses and bending stresses. The third module explores how to build a cardboard beam or shelf . You'll also study the structure beam and share a report on it.
Packt
Kubernetes & Cloud Native Associate (KCNA) Prep
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 course prepares you for the Kubernetes and Cloud Native Associate (KCNA) exam by covering key Kubernetes concepts and cloud-native technologies. You will explore the fundamentals of container orchestration, Kubernetes architecture, and essential components like pods, deployments, and services. Learn how to set up and manage Kubernetes clusters, configure networking, and implement best practices for security, including RBAC and network policies. With hands-on demonstrations, you'll dive into Kubernetes objects, storage, and services, while also gaining insights into cloud-native observability tools. This course is ideal for those preparing for the KCNA exam and IT professionals seeking to deepen their Kubernetes knowledge. By the end of the course, you’ll be able to deploy and manage Kubernetes clusters, secure applications, and utilize cloud-native tools for monitoring and application delivery.
LearnKartS
Program Management Process
Master Program Management Supporting Processes – A Strategic, Career-Defining Learning Experience Want to lead complex programs with confidence and clarity? This immersive Program Management Supporting Process course helps you build the backbone of successful program execution through proven frameworks, tools, and PMBOK®-aligned strategies. This PgMP course is designed for students with basic program management and governance expertise and covers essential topics such as program definition, schedule planning, cost estimating, stakeholder involvement, resource optimization, and risk governance. You'll learn how to create high-quality plans, design effective risk management methods, implement escalation procedures, and ensure program closure and benefit realization with precision. Through captivating videos, real-world case studies, and practical assessments, you'll receive hands-on experience with communication models, control mechanisms, and risk analysis procedures that ensure organizational goals are met. By the end, you'll be able to run scalable, resilient programs that are supported by powerful processes and strategic insights.
American Psychological Association
Intro to Null Hypothesis Significance Testing with z-test
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and quantitative research methods along with high school students and professionals with similar interests. This course delves into the foundational concepts of probability and statistics, emphasizing the importance of random sampling and the normal distribution. Students will learn to apply statistical methods, including z-scores, effect size, and confidence intervals in the context of null hypothesis significance testing. The course also covers the implications of the central limit theorem and the relationship between statistical power and error types. Table of Contents: Probability and Distributions The Normal Distribution Sampling Distributions and the Central Limit Theorem The Logic of Null Hypothesis Significance Testing Null Hypothesis Significance Testing With the z-test Errors in Null Hypothesis Significance Testing Evaluating Statistical Significance Effect Size, Confidence Intervals, and Power
National Taiwan University
一堂課讓你認識肺癌（Basic Concepts of Lung Cancer: Diagnosis and Treatment）
本課程共有四周，介紹肺的功能、肺癌形成的原因、以及肺癌的分期與治療，完成課程後將對肺癌有初步的認識。 根據衛生福利部統計，民國105年台灣死於肺癌的人數高達9372人，這其中有許多是不吸煙，也沒有家族病史的病患，這些病患對本身如何得到肺癌往往得不到答案。但抬頭看看我們的天空，不論是大陸吹來的沙塵暴，或是我們台灣本島製造的空污，早已將天空蒙上一層灰，因此空污對於肺癌，實在有著密不可分的關聯。其實對於肺癌，有個早期篩檢的利器—低劑量電腦斷層篩檢，這項篩檢無需禁食，也不用打顯影劑，只要五分鐘左右即可完成，只可惜因為需要自費，因此許多人望之卻步，也讓許多人失去了早期篩檢出肺癌的機會。希望藉由這門課可以讓大家對台灣新國病—肺癌有不同的認識，也希望大家能更重視呼吸的健康。
University of Colorado Boulder
The Nuts and Bolts of Public Relations
This course focuses on the strategic decision-making that is necessary in effective public relations practice. Learners develop audience-centered messages while learning to adapt communication across platforms and contexts. The course examines the role of social media influencers within public relations and emphasizes evaluation and measurement to assess communication effectiveness.
Universitat Autònoma de Barcelona
SUGAR. Software Unificado para la Gestión Arqueológica
¿Te imaginas poder gestionar todo lo trabajo arqueológico, del campo al laboratorio, con una sola herramienta digital? En este curso aprenderás a utilizar SUGAR (Software Unificado para la Gestión Arqueológica), un programa que llevamos desarrollando desde la Universitat Autónoma de Barcelona durante más de dos décadas. A lo largo del curso adquirirás habilidades para crear bases de datos eficientes, analizar materiales y visualizar información arqueológica. Cada módulo te mostrará herramientas que transformarán tu manera de registrar e interpretar el registro arqueológico. Aprenderás a estructurar datos con precisión, trabajar con diccionarios relacionales y generar informes e inventarios. ¿Te interesa mejorar tu perfil para futuros proyectos de excavación o investigación? Este curso te ofrecerá competencias clave para formar parte de la generación de arqueólogos que liderará la digitalización del patrimonio
Meta
React Native
React Native is an open-source framework for building cross-platform applications (apps) using React and the platform’s native capabilities. In this course, you will move from the basics of React to a more advanced implementation using React Native. You’ll review a wide range of different React components and ways of styling them. And you’ll get to practice using different mobile methods of interactivity with React Native. Some of the basics skills you will learn include: • Building a single-page React Native app and styling it using basic components • Building large lists and configuring user inputs within a React Native app • Using the Pressable component to build buttons and other clickable areas • Setting up an app with React Navigation and moving between screens You’ll gain experience with the following tools and software: • React • React Native • Front End development languages (HTML, CSS and JavaScript) • JSX • Code editing programs, such as Expo and Visual Studio Code This course is for learners who would like to prepare themselves for a career in mobile development. To succeed in this course, you will need foundational knowledge of React basics, internet navigation skills and an eagerness to code.
EDUCBA
Master Excel Advanced Functions and Analytics
By the end of this course, learners will be able to apply advanced Excel functions, analyze large datasets with confidence, design dynamic formulas, build interactive dashboards, and visualize insights using modern charts. They will also implement robust data validation techniques, perform scenario-based forecasting, and enhance workbooks with interactivity for decision-making. This course equips professionals, analysts, and business managers with the essential skills to go beyond basic spreadsheets and unlock Excel’s full potential. Learners will benefit by mastering logical, lookup, reference, text, date, and information functions to create smarter formulas that adapt to real-world business challenges. They will also gain hands-on practice with PivotTables, Solver, Goal Seek, Slicers, and advanced chart types such as Waterfall, Radar, and TreeMap, ensuring they can communicate insights effectively. What makes this course unique is its comprehensive structure that blends advanced formulas, data management strategies, and visualization techniques into one cohesive learning path.