The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Virginia
Gestión de productos digitales: Fundamentos modernos
Hace poco tiempo, el trabajo del gerente de productos consistía en evaluar los datos del mercado, crear requisitos y gestionar la transferencia a ventas/marketing. Tal vez hablaría con un cliente en algún lugar y ellos le dirían qué características deseaban. Pero las empresas que gestionan productos de esa manera están fracasando. Ser un responsable de productos hoy en día es una nueva actividad, y los gerentes de productos están en el centro de ella. Hoy en día, en particular si su producto es mayormente digital, podría actualizarlo varias veces al día. Hay grandes cantidades de datos disponibles para tomar decisiones y, al mismo tiempo, los conocimientos profundos sobre la motivación y la experiencia del cliente son más importantes que nunca. El trabajo del gerente de productos moderno es establecer una dirección y crear un entorno de trabajo exitoso para todos los actores involucrados en el éxito del producto. No es un trabajo simple o fácil, pero es un trabajo significativo en el que aprenderá todo el tiempo. Este curso lo ayudará a lo largo de su recorrido de aprendizaje y lo preparará con las habilidades y la perspectiva que necesita para: Crear el enfoque práctico para gestionar con éxito su producto (semana 1) Enfocar su trabajo utilizando métodos modernos de gestión de productos (semana 2) Gestionar nuevos productos y explorar nuevas ideas de productos (semana 3) Gestionar y amplificar los productos existentes (semana 4) Este curso es ideal para los gerentes generales o de productos actuales interesados en los métodos de gestión de productos modernos de la actualidad. Este curso fue desarrollado con el generoso apoyo del Instituto Batten en la Facultad de Administración Darden de la UVA. La misión del Instituto Batten es mejorar el mundo a través del espíritu emprendedor y la innovación: www.batteninstitute.org.
Codio
Select Topics in Python: Packaging
Code and run Django websites without installing anything! This course is designed for learners who some experience with Python. The modules in this course cover modules and packages, third-party packages, and packing for distribution. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course. Course Learning Objectives: Use pip to venv to manage virtual environments and packages Use third-party package managers to manage virtual environments and packages Package Python scripts and applications for a wider audience
University of Houston
Value-Based Care: Reimbursement Models
COURSE 4 of 7. This course is designed to help you build high-level knowledge of the current medical coding and payment mechanisms of most U.S. healthcare services, referred to as fee-for-service. You will explore why the fee-for-service model has contributed to higher costs in the U.S. healthcare system without clearly improving health outcomes. You will examine the importance of coding to reflect chronic conditions and other diagnoses accurately and how value-based care and payments utilize these measures and data. As you learn about a model to replace fee-for-service, you’ll encounter a range of payment options considered to be value-based that utilize a framework from the Health Care Payment Learning and Action Network (HCP-LAN). To build on those options, you will learn how risk-adjustment, quality scores, and patient satisfaction measures are critical parts of value-based care and payment contracts. In the summative assignment, you will demonstrate your knowledge by comparing fee-for-service and value-based contracts, using specific examples to explain and justify the importance of documentation and coding, and identifying ways that risk-adjustment and patient satisfaction are incorporated into value-based care contracts. CME Accreditation The American Academy of Family Physicians (AAFP) has approved this course for Continuing Medical Education Prescribed Credits. Visit the FAQs for important information regarding 1) Term of approval and 2) Accreditation and Credit Designation statements.
Alberta Machine Intelligence Institute
Data for Machine Learning
This course is all about data and how it is critical to the success of your applied machine learning model. Completing this course will give learners the skills to: Understand the critical elements of data in the learning, training and operation phases Understand biases and sources of data Implement techniques to improve the generality of your model Explain the consequences of overfitting and identify mitigation measures Implement appropriate test and validation measures. Demonstrate how the accuracy of your model can be improved with thoughtful feature engineering. Explore the impact of the algorithm parameters on model strength To be successful in this course, you should have at least beginner-level background in Python programming (e.g., be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute.
LearnKartS
AWS Pricing
Understanding AWS pricing shouldn’t feel like decoding a puzzle—and this course breaks things down until you’ve got crystal-clear clarity. You begin with an exploration of how AWS bills you for computing, storage, and network, before delving into the implications of choosing On-demand, Reserved, and Spot Instances. While using the AWS Cost Calculator, you are learning how to convert architectural decisions into corresponding cost estimates, and when you are designing both performance and budget, it's easy. Then you transition to the Support Plans and the AWS Marketplace, where cost, reliability, and scalability converge. Guided demos show you how to set up billing dashboards, configure budgets, and interpret invoices—skills essential for anyone managing cloud environments. By the end of the course, AWS pricing is a weapon in your arsenal that will enable you to minimize unnecessary spending and maximize your workload performance while making smarter data-driven decisions in any technical position. Disclaimer: This course is not affiliated with or endorsed by Amazon Web Services (AWS). ‘AWS’ and ‘Amazon Web Services’ are trademarks of Amazon.com, Inc. or its affiliates.
Google
Security Hardening
This course helps you familiarize themselves with network hardening practices that strengthen network systems over time. Security professionals work against experiencing numerous security breaches, which is why it is important to take preliminary security measures to remain one step ahead of attackers. Malicious actors are constantly evolving in their intrusion methods and network security hardening is a defensive strategy that aims to prevent or lessen the chances of future attacks taking place. Security hardening also involves securing applications over cloud systems and addressing the unique security challenges posed by cloud infrastructures. By the end of this course, you will be able to: - Describe network and cloud hardening techniques that target network vulnerabilities - Describe OS hardening techniques - Describe network hardening techniques - Explain cloud security practices
Packt
Oracle E-Business Suite R12.x HRMS : A Functionality Guide
This comprehensive course is designed to teach you the essential functionalities of Oracle E-Business Suite R12 HRMS. As a critical tool in managing human resources within organizations, Oracle HRMS empowers HR professionals with the ability to manage employee data, payroll, assignments, and more. By mastering this powerful software, you'll be equipped to streamline HR processes, enhance organizational efficiency, and optimize workforce management. Through hands-on lessons, you will learn the core functionalities of Oracle HRMS, including system administration, defining business groups, creating and managing employee records, and handling payroll and absence management. With practical examples and real-world scenarios, this course ensures you can effectively apply your knowledge in a professional setting. What sets this course apart is its blend of theory and practical application. You’ll not only understand the underlying principles of Oracle HRMS, but also gain skills you can immediately implement in your job. Each module includes detailed instructions and real-life examples to deepen your expertise in managing HR processes. This course is ideal for HR professionals, Oracle EBS users, and those in roles involving employee data management, payroll processing, and HR system administration. A basic understanding of human resource management and familiarity with Oracle applications will help you get the most out of this course.
University of Virginia
Market and Competition in Pricing Strategy
If you haven’t considered what the competition is charging, you may not be maximizing your revenue. Spend time analyzing the market and you can influence price and improve margins. In this course, we'll show you how to implement competitive pricing and avoid common legal pitfalls of market-based pricing. You will also learn how to predict, influence and respond to competitors’ pricing moves. Developed at the Darden School of Business at the University of Virginia, and led by top-ranked Darden faculty and Boston Consulting Group global pricing experts, this course provides an in-depth understanding of market-based pricing and how to use it to capture more revenue.
Emory University
Math for MBA and GMAT Prep
This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.
Simplilearn
Introduction to Long Short Term Memory (LSTM) Training
This comprehensive course on Long Short-Term Memory (LSTM) equips you with the skills to build advanced sequence models for time series forecasting and natural language processing. Begin by understanding the fundamentals of Recurrent Neural Networks (RNNs) and how LSTM addresses vanishing gradient issues. Dive into the LSTM architecture—learn the functions of forget, input, and output gates and how they manage memory over time. Progress to practical applications across industries including finance, healthcare, and AI-driven chat systems. Gain hands-on experience through guided demos that walk you through real-world LSTM implementations. To be successful in this course, you should have a basic understanding of Python, machine learning fundamentals, and neural network architectures. By the end of this course, you will be able to: - Explain the core concepts and architecture of LSTM networks - Identify practical use cases in NLP and time series modeling - Build and train LSTM models using Python-based tools - Apply LSTM to solve real-world sequence prediction problems Ideal for data scientists, ML practitioners, and AI engineers.
Coursera
CNNs with TensorFlow: Basics of Machine Learning
In this 90-min long project-based course you will learn how to use Tensorflow to construct neural network models. Specifically, we will design, execute, and evaluate a neural network model to help a retail company with their marketing campaign by classifying images of clothing items into 10 different categories. Throughout this course, you will learn how to use Tensorflow to build and analyze neural neural networks that can perform multi-label classification for applications in image recognition. You will also be able to identify and adapt the main components of neural networks as well as evaluate the performance of different models and implement measures to improve their accuracy. At the end of the project, you will be able to design and implement convolutional neural networks helping a retail store with their targeted ad campaign, and the models can be easily adapted for self-driving cars, computer-assisted medical diagnosis, etc. This course is aimed at learners who want to get started with the design and implementation of neural networks with an intuitive and effective approach thanks to the Tensorflow library. Computer users with experience with programming in Python should be able to complete the project successfully.
Korea Advanced Institute of Science and Technology(KAIST)
Signaling actions of small molecules
Our life is fine-controlled by various molecules in cells. Different types of molecules include macromolecules (e.g., protein, nucleic acid) and small molecules. In addition to classical views of central dogma, emerging roles of small molecules called metaboites have been recently proposed to significantly impact biological events. Metabolites are contiuously and dynamically produced by different metabolic pathways, thus playing key roles in energy metabolism as well as macromolecular biosynthesis/degradation. Accumulating evidence clearly suggests that certain types of metabolites exert signaling actions through interactions with macromolecules. Compared to other protein-protein and nucleic acid-protein interactions, metabolite-protein interactions appear significant in living cells, therby mediating specific actions in regulating target protein functions and activities. This 6 week-course will give you a solid introduction to the basic fundamentals of metabolite-mediated cell signaling. I will first define the concept of metabolites and introduces major types of molceular interactions. Throughout 6 weeks, we will study biochemical basis of metabolite actions in cell signaling. In particular, we will study interesting examples of how endogenous small molecules intreact with target proteins and control their functions. These major topics will be explained in the context of human health and disease such as cancer and inflammtion. Everyone appreciates that cell signaling is essential for sustaining life. How can you explain the action of noxious gases like nitric oxide in controlling blood pressure? What can be the fundamental mode of energy metabolites in modulating gene expression? Have you ever thought about ways of how our gut microbiota can influence our body? By studying signaling actions of metabolites, we can better understand the complex but wonderful nature of our cellular signaling system, further identifying novel ways to manage major human disease.
Coursera
Github Copilot with Python: Creating Text Games
"Github Copilot with Python: Creating Text Games" is a dynamic course tailored for intermediate programmers ready to expand their skills in AI-assisted coding. Over the span of 1 hour, you'll dive deep into setting up and mastering GitHub Copilot, utilizing its code generation capabilities in Python to craft engaging text games. This course includes hands-on experience in initializing Copilot in GitHub Codespace, developing and enhancing a Rock Paper Scissors Lizard Spock game, and weaving it into a captivating text adventure narrative. Designed specifically for those with intermediate-level Python programming skills, this course requires a solid foundation in reading, designing, and running Python applications, along with a grasp of Object-Oriented Design principles. Additionally, you'll need familiarity with navigating GitHub Codespace, a GitHub account, and a GitHub Copilot subscription. Embarking on this course will significantly benefit your career by equipping you with cutting-edge skills in AI-powered coding, a critical asset in the ever-evolving tech industry. It's an excellent opportunity to stay ahead in the programming world, perfect for those seeking to harness the latest AI technology in their coding repertoire. Prepare to elevate your programming prowess and embrace the future of coding with this engaging, career-enhancing course.
Coursera
UI Design using Figma: Create a Weather App Interface
In this 1-hour long project-based course, you will learn how to create a login screen for a weather app using Figma, incorporating input fields and a login button. You'll also design a home screen for the weather app displaying current weather conditions, and prototype the login and home screens together in Figma, demonstrating the ability to link screens and add basic interactions for seamless navigation. This course is designed for learners who want to build foundational skills in using Figma for UI design. This project will empower learners to create polished UI designs efficiently, regardless of prior experience, fostering confidence in using Figma for future projects. There are no hard prerequisites, and any individual with basic computer skills should be able to complete the project successfully, but some familiarity with Figma is recommended.
Google Cloud
Model Armor: como proteger implantações de IA
Este curso analisa os recursos de segurança essenciais do Model Armor e prepara você para trabalhar com o serviço. Você vai aprender sobre os riscos de segurança associados a LLMs e como o Model Armor protege seus aplicativos de IA.
University of Colorado Boulder
Embedded Software and Hardware Architecture
Embedded Software and Hardware Architecture is a first dive into understanding embedded architectures and writing software to manipulate this hardware. You will gain experience writing low-level firmware to directly interface hardware with highly efficient, readable and portable design practices. We will now transition from the Host Linux Machine where we built and ran code in a simulated environment to an Integrated Development Environment where you will build and install code directly on your ARM Cortex-M4 Microcontroller. Course assignments include writing firmware to interact and configure both the underlying ARM architecture and the MSP432 microcontroller platform. The course concludes with a project where you will develop a circular buffer data structure. In this course you will need the Texas Instruments LaunchPad with the MSP432 microcontroller in order to complete the assignments. Later courses of the Specialization will continue to use this hardware tool to develop even more exciting firmware.