The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Harvard Business Review
Develop Talent and Coach for Success
Successful leaders know how to find talented employees and help them grow their skills. In this course, you’ll learn how to hire well, keep employees engaged, and use coaching techniques that boost performance. Discover research-backed strategies to attract a diverse pool of job applicants, interview effectively, and make successful hires. Expand your ability to coach others through challenges and learning opportunities and guide employees to build new skills to help your organization stay competitive.
Packt
IT for Business: Digital Transformation Strategy
This course explores the critical role of IT in business strategy, offering insights into aligning technology with organizational goals. It provides frameworks for managing IT governance, service delivery, and digital transformation. Designed for professionals, this course combines theory with practical examples to help learners make informed decisions in a digital world. You’ll develop the skills to integrate IT with business objectives, manage risks, and understand opportunities in IT initiatives. By learning from real-world case studies, you’ll enhance your strategic approach to digital transformation. What sets this course apart is its combination of theoretical frameworks with practical, real-world applications, providing both strategic and operational insights. This course is ideal for business leaders, IT professionals, and strategists involved in digital transformation. A basic understanding of business operations and IT principles will be helpful for participants. This course is based on material written by an expert author, bringing the depth of a book into a more engaging, interactive format. The core content is delivered through clear, structured text you can read at your own pace, supported by short videos and quizzes to highlight key ideas and test your understanding. By combining the strengths of book learning with interactive assessments, you get the best of both worlds: the depth and clarity of an author’s expertise, plus the flexibility to revisit, practice, and reinforce concepts whenever you need. This course is packaged and distributed by Packt Publishing on behalf of IT Governance Publishing Ltd. Copyright @ Brian Johnson and Walter Zondervan 2018. The author has asserted the rights of the author under the Copyright, Designs and Patents Act, 1988, to be identified as the author of this work. Every possible effort has been made to ensure that the information contained in this book is accurate at the time of going to press, and the publisher and the author cannot accept responsibility for any errors or omissions, however caused. Any opinions expressed in this book are those of the author, not the publisher. Websites identified are for reference only, not endorsement, and any website visits are at the reader's own risk. No responsibility for loss or damage occasioned to any person acting, or refraining from action, as a result of the material in this publication can be accepted by the publisher or the author. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form, or by any means, with the prior permission in writing of the publisher or, in the case of reprographic reproduction, in accordance with the terms of licences issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publisher at the following address: IT Governance Publishing Ltd Unit 3, Clive Court Bartholomew's Walk Cambridgeshire Business Park Ely, Cambridgeshire CB7 4EA United Kingdom www.itgovernancepublishing.co.uk
Adobe
Take Your Profile to the Next Level with Adobe Express
Ready to give your social media a boost? In this short, hands-on course, you’ll use Adobe Express to plan and schedule posts, write captions that capture attention, and tailor content for different platforms. Through quick, practical activities, you’ll explore how to create consistent, engaging, and on-brand content with the help of AI tools and creative templates. Perfect for anyone looking to refresh their profile and start building a stronger, more cohesive online presence.
Google Cloud
Data Loss Prevention: Qwik Start - JSON
This is a self-paced lab that takes place in the Google Cloud console. The Data Loss Prevention API provides programmatic access to a powerful detection engine for privacy-sensitive data. In this lab, you will learn how to use this API to inspect a string of data for sensitive information.
EDUCBA
R: Design & Evaluate Random Forests for Attrition
This course guides learners through the structured development of predictive models using Random Forest techniques in R, specifically applied to employee attrition data. The course is divided into two comprehensive modules. The first module introduces the foundational concepts of classification and Random Forest algorithms, guiding learners to explain, identify, and prepare relevant variables. Learners also perform essential preprocessing tasks to shape the dataset for analysis. In the second module, students construct, tune, and evaluate Random Forest models using real-world HR data. Through practical lessons, participants will apply parameter optimization techniques, analyze model performance using appropriate metrics, and justify their modeling choices using validation strategies. By the end of the course, learners will have the capability to build robust, interpretable machine learning models for workforce analytics and make informed data-driven decisions regarding employee retention.
Universidad Nacional Autónoma de México
Comportamiento adaptativo
Los seres vivos han evolucionado en entornos cambiantes, por lo que han desarrollado mecanismos que les permiten exhibir comportamiento adaptativo. Usando el método sintético, podemos construir sistemas artificiales adaptativos que implementen dichos mecanismos, con lo cual también podemos incrementar nuestra comprensión de los sistemas naturales. En este curso veremos diversos conceptos que se han aplicado en la inteligencia artificial con orígenes en la biología y en la cibernética. Construyendo sobre ejemplos de sistemas vivos, revisaremos diversos algoritmos que permiten a los sistemas adaptarse y de esta manera enfrentar a la complejidad y cambios de su entorno. También cubriremos temas relacionados con la robustez, la cual complementa a la adaptación. Finalmente, veremos algunas aplicaciones de este tipo de inteligencia artificial. En el proyecto final, se desarrollará un sistema artificial que exhiba comportamiento adaptativo.
EDUCBA
Develop a C# .NET Color Weigh Scale Application
By completing this course, learners will analyze real-world requirements, design a structured database, and develop a complete Color Weigh Scale desktop application using C# and .NET. Learners will also apply business rules, implement validation and error handling, and evaluate system behavior through practical testing and rule-based output logic. This course takes a hands-on, end-to-end approach to building an industry-relevant application. Learners start by understanding the Color Weigh Scale workflow and system objectives, then progress through database design, product and batch configuration, and structured UI setup. The course gradually transitions into coding, covering database connectivity, SQL operations, CRUD functionality, validation, weight and expiry calculations, and final color-based classification. What makes this course unique is its complete project lifecycle coverage. Instead of isolated examples, learners work on a single practical application that mirrors real manufacturing and quality-control scenarios. By the end of the course, learners gain the confidence to design data-driven desktop applications, implement rule-based logic, and deliver maintainable C# .NET solutions—making it ideal for students, freshers, and professionals seeking strong practical .NET experience.
Peking University
操作系统原理（Operating Systems）
《操作系统原理》是针对计算机科学技术专业三年级本科生开设的一门专业基础课程。本课程着重学生系统观的培养，通过重点讲述操作系统的内部结构、工作原理及典型技术的实现，使学生建立起对操作系统的整体及各个功能模块的认识，从而系统掌握计算机的专业知识，进一步提升学生的软件开发能力乃至系统软件开发能力。 任何计算机都必须在加载相应的操作系统之后，才能构成一个可以运转的、完整的计算机系统。操作系统的功能是否强大，决定了计算机系统的综合能力；操作系统的性能高低，决定了整个计算机系统的性能；操作系统本身的安全可靠程度，决定了整个计算机系统的安全性和可靠性。操作系统是软件技术的核心和基础运行平台。因此，计算机科学技术专业的学生需要学习和掌握操作系统的基本原理和专业知识。 本课程的教学目标是： 1．掌握操作系统的基本概念、功能组成、系统结构及运行环境； 2．熟悉并运用操作系统工作原理、设计方法和实现技术，理解有代表性、典型的操作系统实例（如UNIX、Linux和Windows）； 3．了解操作系统的演化过程、发展研究动向、新技术以及新思想，为后续相关课程的学习打下良好基础，为后续职业发展奠定基石。
University of Illinois Urbana-Champaign
Respiratory Disease Control and Sustainable Livestock Production
The globalization of trade and human movement, the expansion of political and economic uncertainty, the speed, scale and nature of predicted global growth, and a wide range of public health issues, have raised concerns regarding the sustainability and security of animal-source food production systems around the world. Animal disease in farmed livestock is important with regard to food safety, animal welfare, and in view of the economic importance of animal-source food production in many countries. Respiratory disease continues to be one of the greatest sources of loss, and hence lack of sustainability, to livestock production systems around the world. In this course, we will explore the factors that contribute to respiratory disease in livestock systems and practical tools to limit its impact on food system sustainability. We will review the basics of respiratory physiology, immunology, and pathology along with how the commensal, symbiotic and pathogenic microorganisms interact in food production ecosystems to prevent or promote respiratory disease.
University of Illinois Urbana-Champaign
Introduction to Applied Business Analytics
Nearly every aspect of business is affected by data analytics. For businesses to capitalize on data analytics, they need leaders who understand the business analytic workflow. This course addresses the human skills gap by providing a foundational set of data processing skills that can be applied to many business settings. In this course you will use Python, a widely adopted data analytics language, to efficiently prepare business data for analytic tools such as algorithms and visualizations. Cleaning, transforming, aggregating, and reshaping data is a critical, but inconspicuous step in the business analytic workflow. As you learn how to use Python to prepare data for analysis, you will gain experience using integrated development environments (IDEs) that simplify coding, support data exploration, and help you share results effectively. As you learn about the business analytics workflow you will also consider the interplay between business principles and data analytics. Specifically, you will explore how delegation, control, and feasibility influence the way in which data is processed. You will also be introduced to examples of business problems that can be solved with data automation and analytics, and methods for communicating data analytic results that do not require copying and pasting from one platform to another.
Birla Institute of Technology & Science, Pilani
Multicore and GPGPU Programming
The course "Multicore and GPGPU Programming" provides a foundational understanding of parallel programming, focusing on developing high-performance, multi-threaded applications in both CPU and GPU environments. Beginning with a review of multicore processor architectures, caching mechanisms, and Non-Uniform Memory Access (NUMA) systems, students will learn the essentials of shared memory programming, synchronisation techniques, and the use of locks to ensure data integrity across threads. The course delves into designing shared memory data structures and introduces advanced synchronisation concepts, including lazy synchronisation, crucial for scalable and efficient concurrent applications. Additionally, students will explore the architecture and programming model of General-Purpose Graphics Processing Units (GPGPUs) and learn CUDA programming to leverage GPU parallelism for compute-intensive tasks. By the end of the course, students will be adept in optimising multi-threaded and many-core applications, balancing workload across CPUs and GPUs to achieve high throughput and efficient resource utilisation. This course is essential for those aiming to develop expertise in high-performance computing and parallel programming for modern multi-core and GPU-based systems.
Alfaisal University | KLD
مقدمة عن المشتقات وإدارة المخاطر
تتعدد المخاطر التي تواجه الأعمال، بدءاً من مخاطر الصناعة نفسها (Business Risk) مثل المبيعات المسترجعة، وهي مخاطر يمكن مواجهتها، وصولاً إلى مخاطر أخرى متعلقة بأسواق المال (Financial Risks) مثل ارتفاع أسعار الفائدة البنكية وأسعار صرف العملات، وهي أكثر خطورة من مخاطر الصناعة لأنها خارج سيطرة الشركات، لذا ظهرت العديد من الوسائل مثل المشتقات (Derivatives) لمواجهة هذا النوع من المخاطر. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم المشتقات وإدارة المخاطر، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: التعرف على مميزات وعيوب المشتقات، استعراض المتعاملين في المشتقات، فهم المقصود بمصطلح المشتقات وأنواعها.
Amazon Web Services
AWS X-Ray Getting Started
With AWS X-Ray, you can gain insights into the data requests that your application serves to identify issues and opportunities for optimization. X-Ray provides tools that you can use to view, filter, and analyze the collected data. In this course, you will learn the benefits and technical concepts of X-Ray. If you are new to the service, you will learn how to start using X-Ray through a demonstration using the AWS Management Console. You will learn about the X-Ray architecture and instrumentation options. Interactive demonstrations show you how the built-in features can help you gain a complete view of application requests as they travel through your application.
Coursera
Next-Generation AI Assistant: Claude by Anthropic
In this guided project, you will explore the capabilities of Claude AI, Anthropic's advanced AI assistant, and learn how to effectively apply its features in your work. This journey involves mastering the skills needed to create compelling materials, persuasive messaging, and strategic campaigns that engage your target audience and enhance your projects. Through a blend of hands-on tasks (such as setting up an account, engaging with the AI platform, crafting engaging product descriptions, and designing promotional campaigns and launch plans) and practical exercises, you will develop skills in using Claude AI's sophisticated text generation features. These tools are designed to help you create persuasive and emotionally resonant content that can significantly impact your work. This project is suitable for those with basic experience in AI text-generation tools, like ChatGPT, and aims to build upon that foundation to expand your expertise.
Meta
Working with Data in iOS
This course introduces you to the core principles of working with data in iOS. You will delve deeper into the processes and concepts behind APIs, explore data formats that allow you to transfer data between servers and devices and discover how to work with data in Swift using Core Data. By the end of this course, you’ll be able to: -Demonstrate a working knowledge of how Swift applications communicate over the web. -Apply asynchronous programming techniques using Swift. -Utilize a variety of methods to take advantage of the Core Data package in a Swift application. This course is ideal for intermediate learners who would like to prepare themselves for a career in iOS development. To succeed in this course, you should have an advanced understanding of Swift programming and a functional knowledge of APIs.
Google
Нестандартні рішення в маркетингу електронною поштою
"Нестандартні рішення в маркетингу електронною поштою" – це четвертий із семи курсів програми сертифікації Google з цифрового маркетингу та електронної комерції. На цьому курсі ви навчитеся реалізовувати успішну маркетингову кампанію електронною поштою. Маркетинг електронною поштою є одним із найдавніших і найбільш перевірених каналів цифрового маркетингу, і він є важливою складовою загальної стратегії цифрового маркетингу. Електронна пошта є основним каналом доступу багатьох компаній до наявних клієнтів, заохочення взаємодії з ними, стимулювання покупок і підвищення лояльності. На цьому курсі ви докладніше дізнаєтеся про маркетинг електронною поштою й розглянете такі теми, як розробка стратегії маркетингу електронною поштою, реалізація кампанії з електронної розсилки і вимірювання результатів цих кампаній. Ви також навчитеся використовувати списки розсилки та автоматизувати робочі процеси. Вас навчатимуть співробітники Google, які зараз працюють у цій галузі. Вони наведуть приклади і нададуть практичні завдання, які імітують типові завдання сфери цифрового маркетингу та електронної комерції, а також порекомендують найбільш ефективні інструменти й ресурси, які вони використовують у своїй роботі. Студенти, які пройдуть усі сім курсів програми, володітимуть навичками, які дадуть їм змогу претендувати на вакансії початкового рівня в галузі цифрового маркетингу та електронної комерції. Попередній досвід роботи необов’язковий. Пройшовши цей курс, ви вмітимете вирішувати такі завдання: – формулювати ефективний текст попереднього перегляду і створювати теми на основі перевірених методик; – автоматизувати рекламні розсилки та робочі процеси; – створювати та вести списки електронної пошти; – створювати ефективний шаблон електронного листа; – керувати контактами та сегментацією списку; – використовувати найкращі методи безпечної обробки персональної інформації й даних користувачів; – вимірювати й аналізувати результати кампанії електронною поштою.