The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Alfaisal University | KLD
المبادئ المحاسبية في التقارير والقوائم المالية
العديد من الأفراد في حاجة مُلحة ومستمرة لاستخدام القوائم المالية (Financial Statements)، تحديداً المستثمرون لأنهم من خلالها يتمكنون من اتخاذ القرارات الاستثمارية الصحيحة، كذلك تستخدمها الجهات الحكومية مثل مصلحة الضرائب كي تتمكن من تحديد الضريبة المستحقة، وأيضاً تستخدمها البنوك كي تتمكن من اتخاذ قرار إقراض الشركات من عدمه، لذلك يجب أن تُعدَّ القوائم المالية (Financial Statements) طبقاً لمعايير موحدة في كل دولة، وطبقاً لمعايير عالمية مشتركة بين جميع بلدان العالم كي يتمكن الجميع من قراءتها وتحليلها ومقارنتها بصورة صحيحة. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: استعراض الحالات المسموح فيها بمخالفة معايير المحاسبة، التعرف على خصائص ومعايير الجودة التي تستخدمها المعايير المحاسبية، توضيح الاختلافات الشائعة بين (IFRS & GAAP)، المبادئ الأساسية التي تقوم عليها مبادئ (IFRS & GAAP).
Coursera
GenAI for Sales Teams
Generative Artificial Intelligence (GenAI) is revolutionizing the sales process, offering sales teams new ways to boost productivity, efficiency, and impact. By leveraging powerful language models and other AI-driven capabilities, sales professionals can streamline workflows, personalize customer engagements, and uncover data-driven insights to drive better results. This course is designed for sales managers, account executives, aspiring sales development representatives (SDRs), and sales operations specialists looking to integrate GenAI tools into their workflows, enhance productivity, and drive innovation in their sales processes. Learners should have a basic understanding of sales concepts and workflows, familiarity with common sales tools and platforms like CRM systems, and some exposure to sales-focused analytics. An open mindset towards new technologies and a willingness to experiment with GenAI tools are also essential. Whether you're a sales leader looking to guide your team towards more efficient, data-driven practices, or an individual contributor seeking to future-proof your skills, this course will start you on the path to unlock the transformative potential of GenAI in sales.
Università di Napoli Federico II
Introduzione alla Data Visualization con Tableau
L’obiettivo del corso è formare professionisti della Business Intelligence attraverso l’apprendimento della piattaforma Tableau, strumento leader di questo settore. La mole di dati a disposizione è sempre più grande ed estrarre informazioni utili per sfruttare queste informazioni è compito degli analisti. Un ruolo cruciale lo riveste la data visualization: il tassello del processo analitico che permette di capire come rappresentare al meglio i propri dati per elaborare strategie data-driven. In questo corso verranno presentate tutte le funzionalità di Tableau Desktop, il tool dedicato alla costruzione delle analisi dei dati. Introduciamo i diversi prodotti della suite Tableau, l’interfaccia grafica e gli ambienti di lavoro, per passare, infine, alla presentazione delle unità minime del lavoro su Tableau: dimensioni, misure e tipi di dato. Vengono illustrati i contenuti relativi ai modi e ai tipi di connessione ai dati, e le strategie di selezione e organizzazione dei dati. Infine tutti gli elementi necessari per imparare a combinare insieme i dati e lavorare con set, date e misure multiple.
University of California, Irvine
Salesforce Reporting
Salesforce Reporting focuses on how the micro-level changes in Salesforce affect the macro level of the user experience. In this course, you will focus on creating custom objects, field dependencies, and work flows to track accounts or services. It is also important that you maintain data clean for your organization and you will work with creating reports, managing data, and creating full reports and dashboards. Lastly, you will focus on your customer base with Salesforce Service Cloud to maintain engagement through your services. The course includes in-depth readings and practical application activities within Salesforce's Trailhead education platform, peer discussion opportunities, demonstration videos, and peer review assignments.
AAPC
The Billing and Collection Process
This course provides a comprehensive introduction to key components of medical billing, claim forms, and accounts receivable (A/R) management. Students will learn how to accurately complete and submit CMS-1500 and UB-04 claim forms, understand billing workflows, and apply effective strategies for managing A/R and collections. Topics include claim adjudication, denial management, and compliance with healthcare regulations. Through real-world scenarios and hands-on activities, students will develop practical skills to support timely reimbursement, reduce errors, and improve overall revenue cycle performance.
Google Cloud
Introduction to Large Language Models - בעברית
זהו קורס מבוא ממוקד שבוחן מהם מודלים גדולים של שפה (LLM), איך משתמשים בהם בתרחישים שונים לדוגמה ואיך אפשר לשפר את הביצועים שלהם באמצעות כוונון של הנחיות. הוא גם כולל הסבר על הכלים של Google שיעזרו לכם לפתח אפליקציות בינה מלאכותית גנרטיבית משלכם.
Johns Hopkins University
Wrangling Data in the Tidyverse
Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data. This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.
Packt
Scaling High-Performance Node.js Applications
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. In this course, you'll dive deep into the concepts of performance optimization and scalability in Node.js applications. Whether you're a developer aiming to build high-performing applications or an architect looking to scale a system efficiently, this course provides the essential tools and techniques. Through a hands-on approach, you will explore both theory and practice to build robust and scalable applications. You'll begin by understanding the fundamental principles of scalability and performance, such as vertical and horizontal scaling, and application cloning. As you move through the course, you'll learn to implement child processes and process pools to improve concurrency, along with fault tolerance strategies to ensure resilience. The journey also includes leveraging external tools and strategies for scaling databases and partitioning large datasets to meet growing demands. In the second half of the course, you’ll work through parallelizing asynchronous operations with child processes, learning to merge streams and handle errors seamlessly. Additionally, you'll explore batching and caching techniques to optimize async workloads and prevent performance bottlenecks. The final module focuses on managing CPU-intensive operations and understanding the use of child processes and worker threads for offloading expensive computations. This course is ideal for backend developers, Node.js developers, and system architects who want to optimize application performance. Prerequisites include basic JavaScript and Node.js knowledge, along with an understanding of asynchronous programming. The difficulty level is intermediate. By the end of the course, you will be able to scale Node.js applications using both vertical and horizontal scaling, implement parallel processing with child processes, optimize async operations through batching and caching, and manage CPU-heavy tasks effectively.
Coursera
Creating a Visual Tasks Guide with Microsoft PowerPoint
By the end of this project, you will have created a Visual Tasks Guide to use with your students. As teachers, we are always looking for ways to help our students grow. For students with special needs or students who need organizational support, completing tasks in the correct order can be a challenge. By providing a visual guide, students are able to gain independence as they practice tasks such as dressing for the weather or getting ready for school.
Coursera
Present Compelling Data Stories, Drive Outcomes
Healthcare organizations generate massive amounts of data daily, yet only 30% of data-driven insights actually influence critical patient care decisions. The gap? Compelling storytelling that transforms complex analysis into actionable intelligence. This Short Course was created to help data analysis professionals accomplish the critical task of translating healthcare data into stories that drive better patient outcomes. By completing this course, you'll be able to synthesize complex analytical results into executive-ready summaries, validate the credibility of data insights, and design narrative structures that guide healthcare leaders to clear, actionable decisions you can apply immediately in quality reviews and strategic planning sessions. By the end of this course, you will be able to: - Create a concise, one-slide executive summary to communicate the key findings of an analysis - Evaluate whether insight statements are supported by the data presented - Design a compelling narrative structure for data presentations, dashboards, and reports This course is unique because it focuses specifically on healthcare contexts where data storytelling can literally save lives and improve patient experiences. To be successful in this project, you should have a background in basic data analysis concepts and familiarity with healthcare quality metrics.
Icahn School of Medicine at Mount Sinai
Network Analysis in Systems Biology
This course introduces data analysis methods used in systems biology, bioinformatics, and systems pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, clustering, dimensionality reduction, differential expression, enrichment analysis, and network construction. The course contains practical tutorials for using several bioinformatics tools and setting up data analysis pipelines, also covering the mathematics behind the methods applied by these tools and workflows. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, statistics, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for wet- and dry-lab researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory (http://labs.icahn.mssm.edu/maayanlab/) from the Icahn School of Medicine at Mount Sinai in New York City, but also other freely available data analysis and visualization tools. The overarching goal of the course is to enable students to utilize the methods presented in this course for analyzing their own data for their own projects. For those students that do not work in the field, the course introduces research challenges faced in the fields of computational systems biology and systems pharmacology.
Google Cloud
Google Cloud Speech API: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs Preview
Universitat Autònoma de Barcelona
Ciudades en crisis y nuevas políticas urbanas
Las ciudades se han convertido en un foco de interés preferente para el análisis de políticas públicas. Con una concentración de personas cada vez mayor viviendo en contextos urbanos, las ciudades son hoy el escenario de un apasionante cambio de época que afecta la esfera social, política, económica y tecnológica ¿A qué nos referimos cuando hablamos de políticas urbanas y qué las distingue de otros ámbitos de las políticas públicas? ¿Cuáles son los principales factores de vulnerabilidad urbana y qué respuestas se están articulando en forma de políticas urbanas? ¿Cómo surge la innovación en la ciudad, tanto desde la base como desde las administraciones públicas? Y, finalmente, ¿qué efectos ha tenido la irrupción de la era digital en la ciudad?
SkillUp
Global Healthcare Data Privacy Frameworks
As healthcare organizations increasingly operate internationally, it is important that you equip yourself with the critical knowledge to manage patient data securely across diverse regulatory environments and know how Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and other privacy laws apply to your daily responsibilities. This course gives you practical knowledge to confidently handle protected health information in multi-jurisdictional settings. You will learn what HIPAA and GDPR require, how they differ, and which obligations apply to your role. The course explains patient rights under each regulation, organizational responsibilities, and critical topics such as informed consent framework under data protection, cross-border data transfers, risk assessments, and privacy-by-design. Through real-world examples and scenario-based activities, you will develop the skills to recognize which regulations apply to your work, understand key differences between frameworks, and make informed privacy decisions when handling patient data across different regulatory environments.
CertNexus
Solve Business Problems with AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it. This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges. Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.
University of California, Davis
Introduction to Web Development
This course is designed to build your skills in web development and design, no matter how little experience or technical knowledge you currently have. You probably visit several websites every day, whether for business, entertainment or education. But have you ever wondered how these websites actually work? How are they built? How do browsers, computers, and mobile devices interact with the web? What skills are necessary to build a website? With a billion websites now on the internet, the answers to these questions could be your first step toward a better understanding of the internet and developing a new set of internet skills. By the end of this course you’ll be able to describe the structure and functionality of the world wide web, create static web pages using HTML and CSS, select an appropriate web hosting service, and publish your webpages for the world to see. Finally, you’ll be able to develop a working model for creating your own personal or business websites in the future and launch yourself on a learning journey in web development.