The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Mining Quality Prediction Using Machine & Deep Learning
In this 1.5-hour long project-based course, you will be able to: - Understand the theory and intuition behind Simple and Multiple Linear Regression. - Import Key python libraries, datasets and perform data visualization - Perform exploratory data analysis and standardize the training and testing data. - Train and Evaluate different regression models using Sci-kit Learn library. - Build and train an Artificial Neural Network to perform regression. - Understand the difference between various regression models KPIs such as MSE, RMSE, MAE, R2, and adjusted R2. - Assess the performance of regression models and visualize the performance of the best model using various KPIs.
Google Cloud
Introduction to Google Workspace Administration - Français
"Introduction to Google Workspace Administration" est le premier cours de la formation consacrée à l'administration de Google Workspace. Cette série de cours sert de point de départ aux nouveaux administrateurs Google Workspace qui commencent à gérer et mettre en place les bonnes pratiques Google Workspace pour leur organisation. Ces cours présentent les fonctions de base de la console d'administration. Vous y apprendrez par exemple à gérer les utilisateurs, à contrôler les accès aux services et à configurer les paramètres de sécurité. À travers des lectures, des exercices pratiques par étapes et des contrôles des connaissances, les participants pourront acquérir toutes les compétences dont ils auront besoin pour exercer leur rôle d'administrateur Google Workspace. Dans ce cours, vous créerez un compte Google Workspace et configurerez vos enregistrements DNS pour Google Workspace. Vous apprendrez à provisionner et à gérer vos utilisateurs, et créerez des groupes et des ressources d'agenda pour votre organisation. Vous découvrirez votre annuaire cloud et apprendrez à diviser votre organisation en unités organisationnelles afin de simplifier la gestion des utilisateurs et des services. Enfin, vous verrez comment déléguer les droits d'administrateur à d'autres utilisateurs dans votre organisation. IMPORTANT : Pour profiter au maximum de cette formation, les participants doivent être préparés à : - Acheter un nouveau nom de domaine en passant par un bureau d'enregistrement comme enom ou GoDaddy. Remarque : Si vous disposez déjà d'un nom de domaine, il est possible de l'utiliser ici, mais ce cours ne détaille pas les étapes permettant d'associer d'un domaine existant à un compte d'essai Google Workspace. Pour obtenir des instructions détaillées à ce sujet, veuillez consulter cet article du centre d'aide : https://support.google.com/a/topic/9196 - Fournir des informations de carte de crédit afin de configurer le compte Google Workspace. Pendant ce cours, vous utiliserez un compte Google Workspace avec une période d'essai de 14 jours. Dans le cadre du processus d'inscription, vous devrez fournir des informations de carte de crédit. Aucuns frais relatifs à Google Workspace ne seront facturés sur votre carte de crédit avant la fin de la période d'essai. Assurez-vous d'annuler votre abonnement avant la fin de la période d'essai pour éviter des frais. Ce point est très important, pensez-y ! - Installer et être prêt à utiliser la dernière version du navigateur Web Chrome disponible à l'adresse https://www.google.com/chrome/
Johns Hopkins University
Der Werkzeugkasten des Data Scientist
In this course you will get an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
Packt
CompTIA Server+ (SK0-005)
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. The CompTIA Server+ (SK0-005) certification course offers comprehensive training to help learners acquire the knowledge and skills necessary to support and manage server environments. The journey begins with an exploration of server hardware installation and management. You’ll delve into server components, storage devices, RAID technologies, and network cabling, followed by techniques to maintain servers remotely. Next, you’ll dive into server administration, including setting up operating systems like Windows Server and Linux Ubuntu, network configuration, and managing server roles and storage. Emphasis is placed on the practical application of these skills, ensuring you’re prepared for real-world scenarios. As you progress, you’ll gain expertise in server security and disaster recovery. This section includes strategies to secure servers, implement access controls, and manage backup and restoration techniques. Additionally, you will learn critical disaster recovery concepts to safeguard against data loss and system failures. Finally, troubleshooting techniques are covered, offering insights into diagnosing hardware, OS, network, and security issues. This course is ideal for IT professionals seeking to advance their careers by acquiring a deeper understanding of server management. The target audience includes system administrators, IT support specialists, and anyone planning to take the CompTIA Server+ (SK0-005) exam. A basic understanding of IT concepts is recommended, and the course is suitable for those with intermediate-level IT experience. Upon completion, you’ll be equipped to handle server hardware, administration, security, disaster recovery, and troubleshooting, preparing you for a successful career in IT infrastructure management. This course will provide a clear understanding of the practical aspects of server management, covering the latest industry standards and practices.
University of Geneva
Vivre avec le TDAH à travers les âges
Qu'est-ce que le TDAH? Quels sont les défis qui l'accompagnent? Que vous soyez une personne concernée par des troubles du déficit de l’attention, un-e proche ou un-e professionnel-le, ce MOOC vous offrira une compréhension de ce qu'est le TDAH. Il vous permettra de répondre aux défis spécifiques du TDAH en élaborant une stratégie complexe qui intègre aussi bien les dimensions psychologiques, les traitements neurobiologiques, ainsi que les interventions sur l'environnement. Puisque dans les deux tiers des cas ce trouble est relativement persistant, même s'il peut être fluctuant au cours de la vie d'un individu, ce cours donnera des clés de compréhension afin de pouvoir vivre sur la durée avec le TDAH. Par le biais d'interventions d'expert-es du domaine, d'activités et de ressources variées telles que des lectures et vidéos, vous en saurez davantage sur : - L’évaluation des symptômes du TDAH - Les spécificités du diagnostic du TDAH, ainsi que ses diagnostics différentiels et les comorbidités - Les bases neurobiologiques du TDAH - Les interventions biologiques (dont la médication), psychologiques et environnementales du TDAH Ce MOOC s'adresse à différentes personnes et ne nécessite pas de connaissances préalables. Tout d’abord, il est destiné aux adolescent-es et adultes affecté-es par un trouble du déficit de l’attention, ainsi qu'à leurs proches. Ce cours a aussi été pensé pour permettre aux professionnel-les intéressé-es par le TDAH d'en savoir plus sur ce trouble. Il est également proposé aux étudiantes et étudiants en médecine et en psychologie qui souhaitent en savoir plus sur le TDAH. Nous espérons que vous aurez beaucoup de plaisir à suivre ce MOOC !
Duke University
Gold and Bitcoin
Gold and Bitcoin demystifies two monetary assets with data. You’ll learn how bitcoin works—blockchains, hashing, mining, keys, and transactions—and why decentralization matters. Then we compare gold and bitcoin where they are similar—scarcity, low inflation, high production cost, and absent cash flows—and where they diverge: custody, divisibility, auditability, settlement, censorship resistance, volatility, market size, and institutional adoption. We connect market structure to portfolio design, showing when each asset helps during equity drawdowns or inflation shocks. You’ll also understand today’s price drivers: financialization (ETFs, tokenized gold), central-bank accumulation, de-dollarization, and reserve-currency politics, plus a policy wildcard—potential Basel III treatment of gold as a high-quality liquid asset. Finally, we confront tail risks: bitcoin’s 51% and quantum threats and gold’s technological supply shocks (advanced extraction, modern alchemy, and off-world sources). Throughout, we use the golden-constant and Golden Dilemma frameworks to anchor valuation and build scenarios. Leave with clear, evidence-based answers and practical allocation tools you can apply immediately.
University of Pennsylvania
ESG and Climate Change
In this course, you will focus on understanding climate change and the risks and opportunities that it creates for businesses in the 21st century. You will analyze the current impacts of climate change on a global scale, and the investment shifts that are required to achieve a net-zero economy. Next, you will analyze the role of climate disclosures and their importance in ESG. You will also review private environmental governance, the active role that private companies are playing in combating climate change, and the parallels between the public and private sectors. Additionally, you will assess the insurance industry and the ways that it spreads risk, as well as creative ways that insurance as a form of private or public governance can build climate resilience. In the final module, you will review the concept of greenwashing: what is driving firms to make exaggerated environmental claims, why it is harmful, and examples of enforcement actions. Finally, you will learn about the importance of product stewardship. By the end of this course, you will have a thorough understanding of public and private environmental governance, the financial risks that unmitigated climate change is creating, climate disclosures, and innovative ways that business leaders can view and implement climate solutions.
Coursera
Sell a product or a service with Canva
At the end of this project, you will have all the basic skills to create varied graphic content that will help you sell your products and services using Canva, an online tool for creating and editing Marketing visuals. You will use these various design tools, colors and graphics offered by Canva. This project is for beginners, small business owners who have no knowledge of graphic design. It is ideal for creating professional graphic content that will help you promote and sell your products and services to your audience.
Google Cloud
Innovating with Google Cloud Artificial Intelligence - Français
L'intelligence artificielle (IA) et le machine learning (ML) représentent une évolution importante de l'informatique et transforment rapidement un grand nombre de secteurs. Le cours ""Innovating with Google Cloud Artificial Intelligence"" explore comment les organisations peuvent utiliser l'IA et le ML pour repenser leurs processus métier. Ce cours fait partie du parcours de formation Cloud Digital Leader. Il vise à aider les participants à évoluer dans leur poste et à bâtir l'avenir de leur entreprise.
AI CERTs
AI for Video Production
Artificial intelligence is transforming video creation, editing, and distribution - making production faster, smarter, and more immersive. The AI for Video Production Certification is designed for content creators, marketers, media professionals, and digital storytellers who want to harness AI-powered video tools to accelerate workflows, enhance creativity, and unlock data-driven audience insights. In this hands-on program, you will explore the fundamentals of AI in video, including automated editing, object detection, motion tracking, super-resolution, and content personalization. You’ll work with tools like OpenCV, YOLO, TensorFlow, Clipchamp, and avatar-based video platforms to master practical AI-driven techniques — from auto-generating captions and highlights to transforming scripts into AI-powered videos and restoring low-quality footage. Through guided labs and real-world case studies from YouTube, Dubai Smart City, Amazon Go, and Synthesia, you will learn how AI enhances storytelling, supports accessibility, strengthens surveillance systems, and enables real-time audience engagement. You will also build hands-on projects in video enhancement, annotation, and AI-powered narrative creation.
Erasmus University Rotterdam
Assessment in Higher Education: Professional Development for Teachers
Are you a teacher in higher education wanting to get the best out of your students and assessments? Then on behalf of Risbo, Erasmus University Rotterdam, we would like to welcome you to this MOOC on Assessment in Higher Education. In this MOOC we will guide you through the different phases of preparing, creating and evaluating the assessments in your course. After participating in this MOOC, you will be able to: 1. Design an assessment that is constructively aligned (content, level, methods) with the course objectives and activities 2. Apply the quality criteria with respect to validity, reliability and transparency for construction of assessments and assessment items 3. Analyze the assessment output and results, assess the quality of the assessment and make decisions about students’ grades accordingly 4. Formulate future improvements for an assessment For the assignments, you will be working with your own teaching materials. For example you will create your own assessment plan for your course. Next to that you will become part of a learning community with teachers from all over the world. We are offering you instructional videos, interviews, animations and checklists. In addition to these, there will be course activities, such as assessments, and discussion prompts. By participating in this MOOC, you will find answers to the following questions: • What is the role of assessment? • How can you select the right methods of assessment for your course? • What is constructive alignment? • How can an assessment plan and matrix help you in the construction of assessments? • Is it possible to make an absolute reliable and valid assessment? • How can the formulation of good assessment questions have an impact on that? • What is the role of feedback? • How can rubrics help with providing feedback? • What are the things to consider when performing an exam or item analysis? What aspects should you look out for? • How do you draw conclusions from an exam analysis and make plans for future improvements? • If good students fail on certain questions, what does this say about the question… or about your teaching? Are you ready for enhancing your teaching skills? Then take this journey with us.
EDUCBA
Apply Color Grading Techniques in Adobe Premiere Pro
Learners will develop the ability to analyze color using professional scopes, apply accurate color correction, and create cinematic color grades using Adobe Premiere Pro. By the end of the course, learners will be able to interpret luminance and chroma data, balance exposure and white levels, match shots across sequences, and design creative color looks that support visual storytelling. This course benefits learners by providing a structured, practical approach to color grading that mirrors real-world post-production workflows. Through step-by-step demonstrations and applied techniques, learners gain confidence in correcting unbalanced footage, working with challenging clips, and refining grades with precision tools such as curves, color wheels, and HSL Secondary controls. The skills acquired are directly applicable to professional video editing, filmmaking, and content creation projects. What makes this course unique is its strong emphasis on scope-driven decision-making and hands-on practice rather than preset-based grading. Learners progress from foundational color science to advanced cinematic grading styles, including selective color manipulation and industry-standard looks, ensuring both technical accuracy and creative control in every grade.
Coursera
GenAI for Data Science Teams
"GenAI for Data Science Teams" is an introductory course designed to bridge the gap between generative AI (GenAI) technologies and data science practices. This course aims to demystify GenAI complexities, enabling data science professionals to leverage these technologies for data augmentation, task automation, and model development. This course is designed for data science managers and team leads aiming to foster innovation, senior data scientists driving GenAI adoption, aspiring data scientists looking to enter the field with advanced skills, and IT professionals seeking to understand GenAI's applications in data science for cross-disciplinary innovation. Learners should have a fundamental understanding of data science principles and strategies, along with an eagerness to learn and adapt to new technologies. By the end of this course, learners will be able to creatively apply GenAI tools in their workflows, enhancing project outcomes and driving team innovation.
PwC
Data-driven Decision Making
Welcome to Data-driven Decision Making. In this course, you'll get an introduction to Data Analytics and its role in business decisions. You'll learn why data is important and how it has evolved. You'll be introduced to “Big Data” and how it is used. You'll also be introduced to a framework for conducting Data Analysis and what tools and techniques are commonly used. Finally, you'll have a chance to put your knowledge to work in a simulated business setting. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
Yonsei University
Applying Investment Decision Rules for Startups
In the previous course, you learned financial statement analysis and how to make estimate of future financial status. In this course, you are going to learn capital budgeting. That is, how to make an investment decision. You would like to select the best project among various projects you can take. Then, you need to know the criteria. In this course, you are going to learn investment decision criteria such as NPV and IRR, which are most popular decision rules. Using financial analysis and discounted cash flow method, you can make pro forma financial statement and estimate project cash flows. Then, you apply investment criteria to determine whether to invest or not. After learning how to apply NPV and IRR method to investment decision, you are going to learn how to evaluate NPV estimate and scenario, what-if analyses and break-even analysis. In addition to NPV and IRR, you are going to learn Payback period method and Profitability method to determine whether to invest or not when there is a political risk or capital rationing.
Cisco Learning and Certifications
Threat Response
If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you understand threat response. By the end of the course, you will be able to: • Explain the purpose of incident response planning • Describe the typical incident response life cycle • Describe the typical elements within an incident response policy • Describe how incidents can be classified. • Describe the different US-CERT incident categories (CAT 0 to CAT 6) • Describe compliance regulations that contain incident response requirements • Describe the different general CSIRT categories • Describe the basic framework that defines a CSIRT• Describe the different CSIRT incident handling services: triage, handling, feedback, and optional announcement • Describe a typical incident response plan and the functions of a typical CSIRT. To be successful in this course, you should have the following background: 1. Skills and knowledge equivalent to those learned in Implementing and Administering Cisco Solutions (CCNA) v1.0 course 2. Familiarity with Ethernet and TCP/IP networking 3. Working knowledge of the Windows and Linux operating systems 4. Familiarity with basics of networking security concepts.