The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Amsterdam
Inferential Statistics
Inferential statistics are concerned with making inferences based on relations found in the sample, to relations in the population. Inferential statistics help us decide, for example, whether the differences between groups that we see in our data are strong enough to provide support for our hypothesis that group differences exist in general, in the entire population. We will start by considering the basic principles of significance testing: the sampling and test statistic distribution, p-value, significance level, power and type I and type II errors. Then we will consider a large number of statistical tests and techniques that help us make inferences for different types of data and different types of research designs. For each individual statistical test we will consider how it works, for what data and design it is appropriate and how results should be interpreted. Normally you would also learn how to perform these tests using freely available software R. Due to technical issues we are not able to do so. We will try to offer this again soon. For those who are already familiar with statistical testing: We will look at z-tests for 1 and 2 proportions, McNemar's test for dependent proportions, t-tests for 1 mean (paired differences) and 2 means, the Chi-square test for independence, Fisher’s exact test, simple regression (linear and exponential) and multiple regression (linear and logistic), one way and factorial analysis of variance, and non-parametric tests (Wilcoxon, Kruskal-Wallis, sign test, signed-rank test, runs test).
Amazon Web Services
AWS Services Overview for IT Professionals
This foundational course will strengthen your understanding of AWS Services. The instructors will teach basic topics regarding computing, networking, storage, database, monitoring, security, serverless, containers, databases, and cost optimization. We will map AWS Services and features to different technical roles in cloud computing. For example, the instructors will provide an overview of Amazon S3 from the perspective of a Solutions Architect, a Security Analyst and a Data Scientist, highlighting and explaining the top features that these roles will use.
Whizlabs
NVIDIA: Fundamentals of Deep Learning
The NVIDIA: Fundamentals of Deep Learning Course is the second course in the Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs Associate specialization. It introduces learners to core deep learning concepts and techniques, building on foundational machine learning principles. The course covers neuron data processing, gradient descent, Perceptron training, forward and backward propagation, activation functions, and advanced techniques like multi-class classification and Convolutional Neural Networks (CNNs). Learners will also explore transfer learning through a hands-on demo. This course is structured into two modules, with each module containing Lessons and Video Lectures. Learners will engage with approximately 3:30-4:00 hours of video content, covering both theoretical concepts and hands-on practice. Each module includes quizzes to assess learners' understanding and reinforce key concepts. Course Modules: Module 1: Foundations of Deep Learning Module 2: Advanced Deep Learning Techniques By the end of this course, a learner will be able to: - Understand deep learning fundamentals, including neuron data processing and model training. - Implement multi-class classification and CNNs for image recognition tasks. - Apply transfer learning with pre-trained models to improve deep learning performance. This course is designed for individuals looking to enhance their skills in deep learning, particularly those aiming to work with generative AI models and LLMs. It is ideal for AI practitioners, data scientists, and machine learning engineers seeking a structured approach to mastering deep learning concepts.
Coursera
Create Immediate Digital Employee Feedback with SnapEval
In this 2-hour long project-based course, you will learn how to produce immediate digital employee communication, a SNAP, to provide immediate digital feedback and lay the foundation for future annual employee evaluations. You will learn how to establish employee goals and achievement levels and how to provide employees with this information in a digital format. Employee communication, evaluations, and recognition are imperative to successful business operations and this web-based tool has simplified and modernized an effective way to do so. Note: This course works best for learners who are based in the North American region. We’re currently working on providing the same experience in other regions.
Macquarie University
Excel Skills for Business: Essentials
In this first course of the specialization, 'Excel Skills for Business: Essentials', you will master the fundamental capabilities of Microsoft Excel. Over six weeks, you will gain the confidence to expertly navigate the Excel user interface, perform essential calculations using formulas and functions, professionally format spreadsheets, and create impactful data visualizations with charts and graphs. This course is designed for aspiring business professionals, students, and anyone looking to enhance their digital skills. Whether you are new to Excel or self-taught and aiming to solidify your foundational knowledge for greater efficiency and productivity, this program provides a robust starting point. You will solve a variety of practical business problems, applying learned Excel skills and techniques through downloadable workbooks and real-world data sets. To succeed in this course, no prior Excel experience is required. You will develop highly valuable spreadsheet software skills, positioning yourself for success in today's rapidly evolving digital job market.
Edureka
Debugging & Testing for Software Delivery
Welcome to Systematic Debugging and Testing for Software Delivery, an advanced course that focuses on building structured, repeatable approaches to diagnosing and resolving complex software issues across modern development environments. This course covers systematic and hypothesis-driven debugging techniques, advanced debugging tools, memory and performance analysis, and debugging in concurrent, distributed, and production systems. By the end of this course, you will be able to: Explain and apply systematic debugging workflows using scientific and hypothesis-driven methods Use advanced debugging tools, analysis techniques, and profiling tools to trace complex issues Identify and resolve memory leaks, performance bottlenecks, and resource-related defects Debug concurrent, distributed, and production systems safely using observability and incident response practices Integrate debugging, testing, automation, and quality metrics into DevOps and CI/CD pipelines Through guided demos and real-world scenarios, you will apply structured debugging techniques to real defects, trace issues across multiple services, analyze production incidents, and design scalable testing and automation strategies. These activities bridge advanced debugging theory with real-world software delivery challenges. This course is designed for developers, QA engineers, site reliability engineers, and software professionals who want to strengthen their debugging and testing skills in modern architectures. Learners should have basic experience with software development and foundational testing concepts before starting this course.
EDUCBA
Build and Implement JavaScript ToDo Applications
Master the ability to build, implement, and optimize a dynamic To Do application using Vue.js. In this hands-on case study course, learners develop practical skills in data binding, directives, methods, computed properties, task management logic, and project structuring with Vue CLI. By the end of the course, learners will be able to construct reactive user interfaces, manage application state efficiently, and organize scalable Vue projects using modern development workflows. This course goes beyond theory by guiding learners step-by-step through the complete development of a functional To Do application. Each concept is applied immediately within a real project, reinforcing practical understanding of Vue’s reactivity system and component-based architecture. Learners gain experience handling user input, updating task status, editing and deleting records, and structuring professional-grade Vue applications. Designed as a focused case study, this course uniquely integrates core Vue fundamentals with real-world implementation, helping learners confidently transition from basic concepts to structured application development.
University of Illinois Urbana-Champaign
Concepts et langage organisationnels
Dans ce cours, vous allez apprendre à communiquer à l'aide du langage, des concepts et des modèles organisationnels courants qui aident à prendre des décisions et à résoudre des problèmes. Les compétences liées aux concepts et au langage de l'entreprise que vous allez acquérir grâce à ce cours contribueront à votre réussite professionnelle dans n'importe quelle entreprise.
Xbox
Product Management Fundamentals
Jumpstart your Product Management journey with this foundational course that lays the groundwork for your career in product management. You'll grasp the core concepts, methodologies, and essential skills that drive successful product development across various industries. By the end of this course, you'll be able to: ● Describe core product management concepts, principles, and methodologies. ● Develop skills to coordinate and oversee the development of products. ● Manage the end-to-end process of product development. ● Align product development with business goals and customer needs. ● Analyze real-world product development case studies. This course is for entry-Level professionals looking to start a new career as a Product Manager in a related field such as Saas automation or gaming. Interested learners may be making a career switch, currently work in a related role and wish to transition into a Product Management role.
Google
Fazer perguntas para tomar decisões com base em dados
Este é o segundo curso do Certificado de Análise de Dados do Google. Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível introdutório. Você aprenderá sobre os tópicos que foram introduzidos no primeiro curso de Certificado de Análise de Dados do Google. O material ajudará você a aprender como fazer perguntas eficazes para tomar decisões baseadas nos dados, enquanto se conecta com as necessidades das partes interessadas. Os analistas de dados do Google vão instruir e oferecer maneiras práticas de realizar tarefas comuns de analistas de dados com as melhores ferramentas e recursos. Os alunos que concluírem este programa de certificação poderão se candidatar a empregos de nível introdutório como analista de dados. Nenhuma experiência anterior é necessária. Ao final deste curso, você poderá: - Aprender sobre técnicas eficazes para fazer perguntas que podem ajudar você a orientar sua análise. - Obter uma compreensão de tomada de decisão com base em dados e como os analistas de dados apresentam as descobertas. - Explorar uma gama de diferentes cenários de negócios do mundo real para ajudar você na compreensão do questionamento e da tomada de decisões. - Descobrir como e por que as planilhas são uma ferramenta importante para o analista de dados. - Examinar as principais ideias associadas ao pensamento estruturado e como elas podem ajudar os analistas a entender melhor os problemas e desenvolver soluções. - Aprender estratégias para gerenciar as expectativas das partes interessadas enquanto estabelece uma comunicação clara com uma equipe de análise de dados para atingir os objetivos de negócios.
Google Cloud
Architecting with Google Kubernetes Engine: Foundations 日本語版
"このコース「Architecting with Google Kubernetes Engine: Foundations」では、Google Cloud の全体像と基本的な考え方を確認した後、ソフトウェア コンテナを作成して管理する方法と Kubernetes のアーキテクチャについて説明します。 これは「Architecting with Google Kubernetes Engine」シリーズの最初のコースです。このコースを修了したら、「Architecting with Google Kubernetes Engine: Workloads」コースに登録してください。"
Simplilearn
Foundations of Apache Cassandra Training
This beginner-friendly course introduces core concepts of Big Data, NoSQL databases, and Apache Cassandra. Learn what makes Big Data powerful, explore analytics use cases, and understand how NoSQL differs from traditional systems. Get hands-on with Apache Hadoop and various NoSQL types. Then, dive into Apache Cassandra and its key features, architecture, read/write processes, data partitioning, replication, and network topology. Explore how it ensures fault tolerance and high availability. The course ends with a guided demo on setting up a virtual environment using VMware, PuTTY, and WinSCP. No prior experience is required. This course is ideal for students, developers, and aspiring database professionals. By the end of this course, you will be able to: - Understand Big Data and NoSQL fundamentals - Explain Cassandra’s architecture and operations - Set up a Cassandra environment using VM tools - Analyze data distribution and fault tolerance - Apply Cassandra in real-world NoSQL scenarios Ideal for data engineers, system architects, and IT professionals.
Università di Napoli Federico II
Enseñar con IA: herramientas
Enseñar con IA es el primer curso de formación gratuito, en formato MOOC, diseñado para profesores y formadores que deseen explorar la IA y sus aplicaciones en la enseñanza. El itinerario de aprendizaje, acompañado por Federica AI Tutor, comienza en este curso explorando los conceptos fundamentales y las principales herramientas de la IA generativa para integrarlas en sus actividades formativas. Descubra nuevas oportunidades para renovar las metodologías de enseñanza y adoptar estrategias innovadoras. Gracias a un enfoque basado en vídeos, las lecciones son accesibles incluso para los no expertos, de modo que los conocimientos clave pueden aprenderse rápidamente. El curso ofrece actividades prácticas, cuestionarios generados por IA para la autoevaluación y espacios de intercambio para fomentar el aprendizaje colaborativo. Otros materiales, como diapositivas descargables, enlaces útiles y herramientas adicionales, ayudan a profundizar y consolidar los conocimientos.
Fundação Instituto de Administração
Engajamento, Conversão e o Consumidor
Nossas boas-vindas ao Curso Engajamento, Conversão e o Consumidor. Neste curso, você aprenderá sobre as diferentes técnicas de análise de dados que permitem acompanhar e monitorar o consumidor com relação ao seu engajamento e aos seus níveis de conversão. Ao final deste curso, você será capaz de utilizar técnicas de análise de dados utilizando Python para compreender diversas etapas da jornada do cliente e tomar as decisões gerencias apropriadas. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Automatic Data Processing, Inc. (ADP)
Fundamentals of Benefit Strategies
This course is for anyone who wants to begin their exploration of the benefits component of total rewards. Here, you will learn how to ensure your organization’s benefit strategy is valuable for both the organization and employees, competitive, and fair. You will also learn about various laws and regulations that impact benefit strategy design and administration. Finally, you will explore the Compensation and Benefits Analyst role in successfully administering the benefits strategy and apply what you have learned by evaluating the benefits strategy of a fictional company, Blue Space Tech Performance, and creating an annual planning calendar.
The State University of New York
Connect with Diverse Audiences during a Public Health Crisis
Public health communicators have a duty to communicate health information with integrity, accuracy, and clarity. For messaging to be most effective, public health communicators must help their audiences draw meaningful connections with the information being shared, and connect with them in ways that foster trust and credibility. This course emphasizes how public health communicators can segment their audiences into smaller groups, thereby allowing them to tailor messages to each group's unique needs. You will explore how public health communicators recognize and overcome underlying biases, assumptions, and stereotypes to create messaging that is rooted in empathy, as well as leverage persuasive communication strategies to frame and deliver messages in ways that appeal to audiences’ core values. You will learn to approach media interviews with confidence, adjust your communication strategy in the moment, and center your focus on your audiences and their needs.