The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Università di Napoli Federico II
Development Economics
Within this course you will cover key topics in development economics, in particular poverty, social protection, human capital, access to financial services, and income generating activities (labor, entrepreneurship, agriculture). In analyzing these topics, you will apply a variety of micro-economic theoretical tools and empirical methods using real-world case studies taken from around the developing world. We will consider what policies work to improve the well-being of vulnerable populations. To do so, we will cover the current state of research applying micro-econometric techniques to evaluate the effects of policy interventions in areas ranging from education to social assistance, from agricultural technology adoption to access to credit and micro-enterprise growth.
Google Cloud
MLOps with Vertex AI: Manage Features - Português Brasileiro
Neste curso, os participantes vão conhecer as ferramentas de MLOps e as práticas recomendadas para a implantação, a avaliação, o monitoramento e a operação de sistemas de ML de produção no Google Cloud. MLOps é uma disciplina com foco na implantação, teste, monitoramento e automação de sistemas de ML em produção. Também incluímos experiências práticas de uso da ingestão de streaming do Vertex AI Feature Store na camada do SDK.
Pearson
Skill Up with Python: Data Science and Machine Learning Recipes
Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains. It's widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python's versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.
Alfaisal University | KLD
أساسيات برنامج مايكروسوفت اكسيل | Essentials of MS Excel
إن امتلاك القدرة على تخزين كم هائل من البيانات (Data) يعد في حد ذاته ميزة كبيرة لأي برنامج، لكن عندما نجد برنامجاً يوفر - بالإضافة إلى ذلك - قدرةً كبيرةً على القيام بالعديد من العمليات المختلفة على تلك البيانات (Data) سواء أكانت في صورة أرقام (Numbers) أم نصوص (Texts) بسهولة وسرعة فائقة، فإن ذلك يجعل منه برنامجاً فريداً ومميزاً، وهذا ما يقدمه لنا برنامج الإكسل (Excel)، الذي سنحاول التعرف على مختلف إمكانياته بشكل عام من خلال هذه الدورة التقديمية، وبمزيد من التفصيل من خلال سلسلة من الدورات يقدمها مركز (Maraam.io). 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 أساسيات برنامج مايكروسوفت إكسل، 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 برنامج إكسل بشكل عام، شرح طريقة استخدام أداة المساعدة، توضيح الفرق بين خيارات الحفظ وحفظ كصيغة محددة، شرح شريط الحالة، طريقة إضافة ورقة عمل داخل دفتر العمل، التعرف على مكونات واجهة البرنامج.
Peking University
Advanced Neurobiology II
Hello everyone! Welcome to advanced neurobiology! Neuroscience is a wonderful branch of science on how our brain perceives the external world, how our brain thinks, how our brain responds to the outside of the world, and how during disease or aging the neuronal connections deteriorate. We’re trying to understand the molecular, cellular nature and the circuitry arrangement of how nervous system works. Through this course, you'll have a comprehensive understanding of basic neuroanatomy, electral signal transduction, movement and several diseases in the nervous system. This advanced neurobiology course is composed of 2 parts (Advanced neurobiology I and Advanced neurobiology Il). They are related to each other on the content but not on scoring or certification, so you can choose either or both. It’s recommended that you take them sequentially and it’s great if you’ve already acquired a basic understanding of biology. Thank you for joining us!
Coursera
GenAI in Insurance: Automating Claims & Risk Mitigation
Unlock the future of insurance by diving into AI-driven claims solutions and transformative risk management strategies. In a recent IBM study, 77% of insurance executives admitted that they need to adopt GenAI quickly, but customers and insurers don’t exactly see eye-to-eye on how this technology should be utilized. Between legacy systems, siloed data, and rising customer expectations, there’s a lot to untangle. That’s where this course comes in. We’ll take you through the essentials of GenAI and how it’s revolutionizing claims processing, underwriting, and customer experience. You’ll explore real-world case studies, test-drive practical GenAI tools, and discover how to design customer-centric, GenAI-powered insurance products and services that make a difference. This course is designed for insurance professionals, data analysts, and business leaders seeking to harness the power of Generative AI to transform key industry functions. Whether you're involved in claims processing, risk management, or underwriting, you'll gain valuable insights into how GenAI can drive innovation and efficiency. The content is tailored to support forward-thinking professionals ready to enhance service delivery and develop customer-centric insurance solutions using emerging technologies. To get the most out of this course, learners should have a basic understanding of the insurance industry and its operational frameworks. Familiarity with digital tools and commonly used software in insurance processes is recommended. While a foundational knowledge of artificial intelligence concepts is helpful, the course is designed to be accessible to those who are motivated to explore new technologies and adapt to the rapidly evolving digital landscape. By the end of this course, learners will be able to define how GenAI and prompt engineering function and how they apply to the insurance sector. They will analyze how GenAI enhances risk assessment, streamlines underwriting processes, and supports strategic decision-making. Learners will also apply GenAI to create personalized insurance products and develop automated solutions for key business functions such as decision support, cost management, and claims resolution.
Google Cloud
Build a Serverless App with Cloud Run that Creates PDF Files
In this lab you will build a PDF converter web app on Cloud Run, a serverless service, that automatically converts files stored in Cloud Storage into PDFs stored in segregated folders.
Google Cloud
Getting Started with BigQuery GIS for Data Analysts
This is a self-paced lab that takes place in the Google Cloud console. BigQuery GIS allows you to easily analyze and visualize geospatial data in BigQuery.
Coursera
Creating an Interactive Syllabus using Microsoft Word
After successfully completing this project, you will have created a visually appealing, interactive course syllabus in Microsoft Word. The key components of a course syllabus will be discussed. While adding these components to your document you use various features in Word. You will apply styles, insert a bulleted list and a table to organize information, insert an image, and modify a table and image. You will also discover how to convert text to a hyperlink to make your document interactive. Included Universal design formatting tips will describe options to help make your document accessible to all learners.
Google Cloud
Innovating with Google Cloud Artificial Intelligence - Português Brasileiro
A inteligência artificial (IA) e o machine learning (ML) representam importantes evoluções na tecnologia da informação que estão transformando uma ampla variedade de setores. O curso ""Innovating with Google Cloud Artificial Intelligence"" mostra como as organizações podem usar a IA e o ML para transformar processos comerciais. Como parte do programa de aprendizado do Cloud Digital Leader, o objetivo deste curso é ajudar você a crescer profissionalmente e desenvolver o futuro do seu próprio negócio.
Google Cloud
Bersiap untuk Perjalanan Associate Cloud Engineer Anda
Kursus ini membantu Anda menyusun persiapan untuk ujian Associate Cloud Engineer. Anda akan mempelajari domain Google Cloud yang tercakup dalam ujian dan cara membuat rencana belajar untuk meningkatkan pengetahuan domain Anda.
The University of Edinburgh
Learning for Sustainable Futures: Live at COP30
The 30th UN Climate Change Conference (COP30) will take place in Belém, Brazil, from 10–23 November 2025. This major global event will bring together world leaders, climate experts, and campaigners to agree on and accelerate coordinated action to address climate change. To run alongside the conference, we are offering a free, two-week online course that explores what COP30 is, why it matters, and how you can add your voice to the call for collective action toward a sustainable future. We are delighted to be able to offer an official certificate on completion of the course, from the University of Edinburgh, in partnership with Scotland's UN University-recognised Regional Centre of Expertise in Education on Sustainable Development (Learning for Sustainability Scotland) and the British Council. Throughout the course, you will: Explore the broader context of COP30, including key frameworks such as the UN Sustainable Development Goals, the Bonn Climate Change Conference (SB 62), and the UN Convention on Biological Diversity. Gain ‘live’ insights into the discussions taking place at COP30. Hear responses to the conference themes from children and young people, community groups, and government bodies from across the world. Using these insights as starting points, you’ll be encouraged to reflect on your own role and engagement. The course offers spaces for discussion and reflection, where you can exchange ideas and inspiration with our learning community as we consider our moves towards action. Now more than ever, global collaboration is essential to build sustainable futures for both people and the planet. Join our shared learning community during COP30. Together with participants and course facilitators alike, we’ll reflect, share, and learn from one another. You may also be interested in our 5-week course, Learning for Sustainable Futures: https://www.coursera.org/learn/learning-for-sustainable-futures
University of Cambridge
The Psychology of Emotions: an introduction to embodied cognition
This fascinating introduction to the cognitive psychology of emotions explores how, when we see others’ emotions, not only the mind, but also the body is engaged in the recognition. You will explore how to measure our ability to understand the feelings of others.
Whizlabs
AWS: Task Automation and Network Integration
AWS:Task Automation and Network Integration is the second course of "Exam Prep ANS-C01: AWS Certified Advanced Networking Specialty" specialization. This ANS-C01 course will help in evaluating automation alternatives within AWS for network deployments. Learners will also have chance to configure network integration with application services. The course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:00 Hours Video lectures that provide both Theory and Hands -On knowledge. Also, Graded and Ungraded Quiz are provided with every module in order to test the ability of learners. Module 1: AWS: Task Automation Module 2: Configure network integration with application services Two or more years of experience in designing and implementing network solutions on AWS on a large scale or must pass an examination of AWS Certified Cloud practitioner. Candidates should have knowledge of using AWS CloudFormation and integration with external systems and other AWS services. By the end of this course, a learner will be able to: -Evaluate automation alternatives within AWS for network deployments. -Leverage Lambda as a Cloud Formation custom resource for integration with external systems, including IPAM software. -Leverage the capabilities of Amazon Route 53. -Implement sticky sessions and AWS Service Communicating over the Network.
Packt
System Hacking, Malware Threats, and Network Attacks
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. Unlock the skills needed to identify, analyze, and mitigate a wide range of cybersecurity threats in this comprehensive course. From system hacking phases to understanding advanced malware threats, you will learn to navigate the complexities of modern cyberattacks and build robust defensive strategies. The course begins with a deep dive into enumeration techniques, exploring tools and protocols such as SMB, SNMP, and LDAP to uncover system vulnerabilities. As you progress, you'll delve into vulnerability analysis, learning to assess, manage, and classify risks with industry-standard methodologies and tools. Key insights into creating effective reports will solidify your understanding of this critical process. Advanced modules guide you through system hacking techniques, from password cracking and privilege escalation to covering tracks and pivoting within networks. The malware threats section introduces cutting-edge tactics like analyzing APTs, Trojans, and fileless malware, enabling you to identify and combat these persistent dangers. Finally, you'll explore network attack techniques, including sniffing, social engineering, and denial-of-service attacks, paired with robust countermeasure strategies. This course is ideal for cybersecurity enthusiasts, IT professionals, and ethical hackers looking to enhance their skills. While a basic understanding of computer systems is helpful, no advanced technical background is required. Dive in and equip yourself to protect and secure today's digital environments.
Northeastern University
Computation and Visualization for Analytics Part 2
Offers students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. Covers basics of Python and R for data mining and visualization. Introduces students to static and interactive visualization charts and techniques that reveal information, patterns, interactions, and comparisons by focusing on details such as color encoding, shape selection, spatial layout, and annotation.