The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Foundations and Core Concepts of PyTorch
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. In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment to ensure a smooth learning experience. The course then transitions into the basics of machine learning and artificial intelligence, laying the groundwork for more advanced topics. As you delve deeper, you'll explore the intricacies of deep learning, including model performance, activation and loss functions, and optimization techniques. Each module builds on the last, gradually increasing in complexity. You'll learn to construct neural networks from scratch, understanding every component from data preparation to the backpropagation process. This hands-on approach ensures you not only grasp theoretical concepts but also gain practical skills in building and training your models. The course culminates in a detailed look at PyTorch-specific modeling. You will work on real-world exercises, such as implementing linear regression and hyperparameter tuning, using PyTorch’s powerful features. By the end, you'll be well-equipped to tackle complex deep learning problems, confident in your ability to utilize PyTorch effectively for your AI and machine learning projects. This course is ideal for tech professionals, data scientists, and AI enthusiasts looking to master PyTorch for deep learning. Prerequisites include prior experience in Python and a basic understanding of machine learning concepts.
Politecnico di Milano
Gender-based violence: how to become an active bystander
In this course, you will learn about Gender-Based Violence (GBV): its roots, causes, and manifestations. You will understand that GBV is a global phenomenon that can only be eradicated through collective action. Trigger warning: please be aware that some content of the course (such as Sexual assault, Sexual violence, abuse, LGBTQ+ issues or discrimination) may be distressing or triggering for some individuals. Feel free to step away or skip some of them if needed. If you need support for yourself or for someone you know who may be experiencing acts of gender-based violence, in Italy you can contact the dedicated helpline 1522. At Politecnico di Milano you can also find dedicated support by contacting stalkingsos@polimi.it or consiglieradifiducia@polimi.it Intended Learning Outcomes: 1. Understanding the dimension of the phenomenon of gender based violence 2. Understanding the different forms of gender based violence 3. Understanding the main causes of gender based violence 4. Applying strategies to contrast poor behaviours 5. Learning about new narratives to address GBV 6. Understanding how to face gender based violence and the norms to contrast and prevent it
LearnQuest
Market Adaptation and Specialized Negotiation Skills
Become a highly adaptable negotiator, prepared for sectoral, regional, and technological complexity. This course offers depth in adapting negotiation approaches for complex B2B deals, regulatory environments, cross-cultural nuances (India/USA/Spanish-speaking USA), and the integration of AI and analytics in modern sales. You’ll investigate trending best practices, manage multiple stakeholders, and develop compliance-driven, ethically sound strategies to sustain profitable business relationships even in volatile, uncertain environments.
Columbia University
Introduction to Financial Engineering and Risk Management
Introduction to Financial Engineering and Risk Management course belongs to the Financial Engineering and Risk Management Specialization and it provides a fundamental introduction to fixed income securities, derivatives and the respective pricing models. The first module gives an overview of the prerequisite concepts and rules in probability and optimization. This will prepare learners with the mathematical fundamentals for the course. The second module includes concepts around fixed income securities and their derivative instruments. We will introduce present value (PV) computation on fixed income securities in an arbitrage free setting, followed by a brief discussion on term structure of interest rates. In the third module, learners will engage with swaps and options, and price them using the 1-period Binomial Model. The final module focuses on option pricing in a multi-period setting, using the Binomial and the Black-Scholes Models. Subsequently, the multi-period Binomial Model will be illustrated using American Options, Futures, Forwards and assets with dividends.
University of Colorado Boulder
Theory of Angular Momentum
This course can also be taken for academic credit as ECEA 5611, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition. At the end of this course learners will be able to: 1. describe and analyze angular momentum states using quantum mechanically defined angular momentum operators, 2. solve angular momentum eigenvalue equations and 3. add angular momenta quantum mechanically.
University of Washington
Machine Learning: Classification
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks. You will become familiar with the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting. In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent. You will implement these technique on real-world, large-scale machine learning tasks. You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier. This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data. We've also included optional content in every module, covering advanced topics for those who want to go even deeper! Learning Objectives: By the end of this course, you will be able to: -Describe the input and output of a classification model. -Tackle both binary and multiclass classification problems. -Implement a logistic regression model for large-scale classification. -Create a non-linear model using decision trees. -Improve the performance of any model using boosting. -Scale your methods with stochastic gradient ascent. -Describe the underlying decision boundaries. -Build a classification model to predict sentiment in a product review dataset. -Analyze financial data to predict loan defaults. -Use techniques for handling missing data. -Evaluate your models using precision-recall metrics. -Implement these techniques in Python (or in the language of your choice, though Python is highly recommended).
Coursera
Secure Healthcare Data: Encrypt, Audit, Protect
Healthcare data breaches consistently have some of the highest financial, operational, and regulatory impact of any industry. This foundational course is designed to help healthcare data professionals build essential security practices that protect patient information and support regulatory compliance. In this course, you’ll learn the core security fundamentals needed to safeguard healthcare data in your daily work. You’ll develop practical skills in recognizing common breach risks, encrypting data files for secure sharing, and monitoring access permissions to identify unauthorized changes. By the end of this course, you will be able to: Identify common data-breach vectors within analytics workflows Apply encryption to data files using standard tools and protocols to ensure secure transfer Analyze shared-folder permission changes to detect unauthorized modifications This course is unique because it focuses specifically on healthcare data security scenarios, using real-world breach examples and industry-standard, non-proprietary tools aligned with HIPAA requirements and healthcare compliance expectations. To be successful in this course, you should have basic computer literacy and familiarity with file management systems. No prior cybersecurity experience is required.
Universidades Anáhuac
Gestión hospitalaria centrada en el paciente
Este curso está dedicado principalmente a personas relacionadas con el área de salud que estén interesados en desarrollar habilidades fundamentales para administración de hospitales (médicos, especialistas, fisioterapeutas, nutriólogos), así como administradores que tengan interés en aprender sobre gestión de hospitales y quieran contextualizarse en el área ya sean contadores, ingenieros, personal del área de negocios interesados en optimizar el servicio en pacientes y facilitar los accesos a la salud. El contenido ofrece una visión integral y estratégica para abordar estos retos. A través de un enfoque centrado en el paciente, se propone fortalecer las competencias y habilidades de los profesionales de la salud en aspectos clave de la gestión hospitalaria.
Fundação Instituto de Administração
Communication Principles for Leaders
This course was developed for professionals from any area or industry to use communication strategically to improve their management and business understanding. There is no mandatory prerequisite but having business experience will help participants make the most of the proposal of texts, analyses, and content. From a unique approach, it funnels content from understanding reputation formation to practical actions that each participant can apply in their daily life.
Google
Develop Presentations and Slideshows
In this course, you’ll discover how to give an effective presentation about your data analysis. The course will teach you how to construct insightful presentations that resonate with your audience. You'll learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders. By the end of this course, you will be able to: - Describe best practices for addressing the question-and-answer section of a presentation - Consider the caveats and limitations associated with the data in a presentation - Differentiate between strong and weak presentation content - Describe how junior data analysts are expected to use their presentation skills - Explain principles and practices associated with effective presentations - Identify appropriate responses to presentation objections
Emory University
Marketing Channel Functions
This course is ideal for individuals who currently work in or are targeting opportunities in consulting and strategy, industrial sales and buying, marketing management, entrepreneurship and business development. This course will cover the concept of channel functions, or the supply side of designing routes to markets. Channel functions are the necessary activities that channel members must provide in order to create the channel benefits that customers desire. You will learn a framework that quantifies channel functions and ultimately, how to use them as the basis for determining channel member work loads and compensation. A final exercise considers how to monetize shipping benefits and align the channel benefits demanded with the necessary supply side activities.
EDUCBA
Master Unity Game Physics: Apply, Simulate & Transform
Learners will apply Newton’s laws, simulate forces, analyze motion, and implement matrix transformations to build physics-driven Unity games. This course empowers you to create realistic object interactions, rocket simulations, and advanced rotational mechanics for immersive gameplay. Starting with the core principles of mechanics, you’ll explore inertia, uniform motion, and action-reaction forces. You will then model rocket thrust, simulate projectile motion, and evaluate air resistance using Unity’s Rigidbody and physics engine. As you advance, you’ll construct simple physics games while mastering event flow, prefabs, and coding best practices. The final modules dive into linear and rotational transformations, vectors, torque, Magnus Effect, and inertia tensors, ensuring you can bring complex real-world physics into virtual environments. By the end, you will confidently demonstrate physics-based problem-solving, design interactive simulations, and implement advanced transformations to enrich your Unity projects. What makes this course unique is its step-by-step balance of theory and coding practice, allowing you to bridge classroom physics with game development. Whether you are a beginner or an intermediate Unity developer, this course equips you with the skills to build games that feel physically authentic and engaging.
Arizona State University
Chino básico: La etiqueta social en los negocios
El segundo curso del Programa Especializado Chino básico para hispanohablantes: lenguaje y cultura empresarial tiene un enfoque en el lenguaje que se puede usar en posibles situaciones profesionales. Antes de aprender este lenguaje, se repasará la información aprendida el en curso anterior. Para poder entender bien el contenido de este curso, es necesario que el aprendiz tome el primer curso antes de entrar en este. En este segundo curso, se aprende el vocabulario y las frases para hablar de los títulos universitarios, los trabajos, los títulos profesionales, describir las responsabilidades en el trabajo, hacer citas por teléfono, y más.
Coursera
Portfolio Power: Compelling UX Case Studies in Sketch
In this course, you'll reflect on the key concepts and skills learned throughout the course. You'll also develop a compelling case study presentation showcasing the entire UX design process for the GreenLeaf Grocers project. This comprehensive case study will demonstrate your ability to navigate a real-world design challenge, from research and wireframing to prototyping, testing, and implementation, while honing your storytelling abilities to effectively communicate your design decisions and the value of your work. By the end, you'll have a polished, professional-grade case study that highlights your technical skills, critical thinking, and exceptional user experience delivery.
Pontificia Universidad Católica del Perú
Analítica y ciencia de datos para negocios
El objetivo del curso es lograr que los estudiantes apliquen los principios básicos, las características de la Analítica y ciencias de datos así como las etapas en el proceso de desarrollo de un proyecto de análisis de datos. Los estudiantes también se familiarizarán con el preprocesamiento de datos y serán capaces de manejar a, nivel práctico, las principales técnicas componentes de este, como el análisis de faltantes, la detección de outliers, las técnicas de normalización, discretización y reducción dimensional.
Google Cloud
GKE Backup and Restore
This is a self-paced lab that takes place in the Google Cloud console. GKE cluster backup and restore