The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
28DIGITAL
Data Science for Business Innovation
This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped. You will learn: * the value that Data Science can create * the main classes of problems that Data Science can solve * the difference is between descriptive, predictive, and prescriptive analytics * the roles of machine learning and artificial intelligence. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques. It discusses the role of NoSQL data models and technologies, and the role and impact of scalable cloud-based computation platforms. All topics are covered with example-based lectures, discussing use cases, success stories, and realistic examples. Following this nano-course, if you wish to further deepen your data science knowledge, you can attend the Data Science for Business Innovation live course https://professionalschool.eitdigital.eu/data-science-for-business-innovation
Emory University
The Psychology of Thrill Seekers
Sensation seeking is a trait we all have and includes the search for complex and new experiences. Thrill Seekers, people with high-sensation seeking personalities, crave exotic and intense experiences even when physical or social risks are involved. This course helps learners examine the remarkable world of the high-sensation seeking personality and explores the lifestyle, psychology, and neuroscience behind thrill seekers.
Google Cloud
Gemini for Network Engineers - Español
En este curso, descubrirás cómo Gemini, un colaborador potenciado por IA generativa de Google Cloud, ayuda a los ingenieros de redes a crear, actualizar y mantener redes de VPC. Aprenderás a darle instrucciones a Gemini para que te brinde orientación específica sobre tus tareas de redes, mucho más detallada que la que recibirías de un motor de búsqueda. A través de un lab práctico, comprobarás cómo Gemini te facilita trabajar con las redes de VPC de Google Cloud. Recuerda que Duet AI ahora se llama Gemini, nuestro modelo de nueva generación.
Airbus Beyond
Procurement Strategies
Advance your supply chain expertise by mastering the critical areas of sourcing, procurement, contract management, and supplier relations. In this course, you’ll learn how to identify, select, and develop suppliers using industry-standard frameworks and analysis methods. You'll explore value chain optimization, understand the fundamentals of contracts and their role in ensuring reliable operations, and dive deep into supplier assessment and evaluation processes. You'll also gain essential skills in negotiation strategy and relationship management, both of which are crucial for building ethical, long-term partnerships that strengthen supply chain resilience. By the end of this course, you will be able to: - Apply sourcing and procurement frameworks for supplier selection - Conduct supplier analysis and manage supplier performance - Understand key contract elements and manage contracting processes - Use negotiation strategies to build enduring and beneficial supplier relationships - Optimize value chains for efficiency and competitiveness
Coursera
Empezando con Figma
Al final de este proyecto, crearás un catálogo de productos para una tienda utilizando Figma. Figma es una aplicación de edición gráfica y diseño de interfaces de usuario que puede utilizarse desde un navegador web o instalarse en el PC. Una de las características importantes es que permite el trabajo colaborativo en tiempo real, desarrollando el proyecto desde lo simple hasta los prototipos. Este proyecto está estructurado para desarrollar tareas paso a paso, lo que te facilitará el uso de las diferentes características de Figma, comenzando por la creación de la cuenta, la navegación por la interfaz y el reconocimiento de las principales opciones. A continuación, podrás utilizar formas básicas como círculos, cuadrados y elipses para crear iconos y botones. Personalizarás los textos ajustando propiedades como el color, el tamaño y la fuente, entre otras. Además, harás uso de imágenes que subirás y ordenarás en el espacio de trabajo para posteriormente diseñar una ficha para cada producto del catálogo. El nivel del proyecto es básico y está planeado para diseñadores o personas que están iniciando con Figma. Cada tarea realizada ayuda a colocar en práctica los conceptos y principales componentes de Figma. Esta herramienta tiene actualmente una demanda laboral alta, por lo que aprender a usarla, aporta un valor importante el curriculum y además, tendrás los conocimientos requeridos para realizar prototipos de alta fidelidad.
Infosec
Stages of Incident Response
The Cyber Incident Response course will give students an understanding of how incidents are responded to at a high level, as well as allow them to build important technical skills through the hands-on labs and projects. This course starts with a high-level discussion of what happens at each phase of responding to an incident, followed by a technical deep dive into some of the more exciting parts of memory, network, and host analysis and forensics. This course is for anyone wishing to apply learned forensics and offensive knowledge such as ethical hacking to the incident response process.
Coursera
Linux Daemon with Go: Build a Webpage Database Crawler
Do you know that over 75% of projects in the Cloud Native Computing Foundation, including Docker and Kubernetes, are written in Go? This Guided Project was created to help learners create database applications that can run as background processes or daemons using Go. More specifically, in this 1.5-hour long project-based course, you will develop a Linux daemon, communicate with web servers using HTTP, as well as extract key data from textual raw data. To achieve this, you will create a web article database crawler application by working through a scenario where you are an intermediate-level Go developer for a tech company. In order to be successful in this project, you will need to know the fundamentals of Go including slices, functions, and error handling. MySQL connection and row update with Go ("Relational Database with Go: Build an Article Search Engine" highly recommended).
LearnQuest
Angular 17 Overview & Basics
This course is designed for Beginners with some background in basic web development experience, HTML, Javascript, and CSS. This course requires no specific hardware or software, just a web browser and an internet connection. Personally, the learner who is considering being a web developer would have to learn a framework. This is one of the most popular frameworks that will be used in modern web sites and portals. Professionally, the person is an experienced web developer, or web architect, who wants to upgrade to Angular 17, or update their Angular skills. By the end of this course, you will be able to: -Describe Angular's folder and application structure -Recognize the architecture and core components of Angular 17 -Apply concept of Decorators, Components and Component Decorators -Differentiate between Template and TemplateURL -Identify Data binding use case -Explain HTML attribute and DOM Property
University of Michigan
Speaking and Presenting: Poise
Poise is not some elusive or innate characteristic. It’s a series of choices, all of which can help you better connect with your intended audience. This course will help you identify those choices and teach you how to make them in a way that consistently enhances the clarity of your message and the effectiveness of your delivery.
Illinois Tech
A Comprehensive Excel Masterclass
The Comprehensive Excel Masterclass is an advanced course designed to empower students with the skills and knowledge needed to maximize the potential of Microsoft Excel in a business environment. This course goes beyond the basics and explores advanced functions, and features that will enable students to perform complex calculations, retrieve and manipulate data from multiple sources, and gain valuable insights from data. The course combines theoretical concepts with practical exercises and examples to reinforce learning. A crucial aspect of business decision-making involves understanding the time value of money. In this course, students will be exposed to time value of money principles and learn how to utilize Excel's financial functions to analyze loans, create amortization schedules, and evaluate project valuations. By leveraging functions such as PV, FV, NPV, PMT, IRR and more, students will be able to make informed financial decisions. A significant portion of the course is dedicated to creating Excel dashboards, which are effective tools for visually presenting performance data (such as KPIs). Participants will learn how to leverage Pivot Tables to create dynamic and interactive dashboards utilizing slicers, timelines, and calculated fields to enhance data exploration and create compelling dashboards. Upon successful completion of this course, you will be able to: - Utilize complex Excel functions and techniques to extract and manipulate data. - Evaluate the financial viability of loans using Excel's financial functions. - Apply the principles of Capital Budgeting for project selection and investment decisions. - Create advanced Pivot Tables and Pivot Charts for data analysis and visualization. - Develop interactive dashboards with Form Controls to enhance user experience. - Design custom charts for effective data visualization. - Apply Excel's latest features and updates in Office 365/Google Sheets for increased productivity. - Showcase key performance indicators (KPIs) to support data-driven decision-making in business intelligence.
L&T EduTech
Solar Power Generation
Welcome to the "Solar Power Generation" course, where we embark on a journey into the transformative world of solar power generation. Over the next few weeks, we will delve deep into the principles, technologies, analysis, demonstrations and practical applications that define modern solar photovoltaic systems. In Module 1, we will lay the groundwork with an exploration of PV cells: from their fundamental theories to the various types and modules available. Understanding these basics is crucial as we move into optimizing energy capture through panel tilt angles and exploring different system configurations. Module 2 extends our knowledge into the practical realm with analysis and sizing of charge controllers, inverters, and the economics of solar PV systems. We will also examine the statistical outlook and future trends in solar power, alongside an introduction to Concentrated Solar Power (CSP) and hands-on exercises using MATLAB for PV module determination. Moving forward in Module 3, we will analyze the diverse configurations of solar power generation, tackling both the advantages and challenges. This module equips you with the methodologies and components needed for effective solar PV design, whether for on-grid systems with detailed panel and inverter sizing or off-grid systems with considerations for battery sizing and shading effects. Module 4 dives into the nitty-gritty of design standards and simulation software, featuring demonstrations of the System Advisor Model (SAM) and PVSYST. Through these tools, you will learn to simulate grid-connected PV systems, analyze shading effects, and optimize your designs for efficiency and reliability. In Module 5, we explore real-world case studies, from mega-scale solar projects in deserts to international collaborations like the Morocco Solar Power Generation initiative. We will discuss innovative solutions such as undersea power cables and examine the feasibility and challenges of implementing large-scale solar parks. Module 6 showcases the cutting-edge developments in solar technology, including advancements in solar chimneys, thin-film, spherical, and perovskite solar cells. We will explore how these innovations are shaping the future landscape of renewable energy. Finally, in Module 7, our focus turns to grid integration and power evacuation strategies. You will learn about renewable energy forecasting, grid connection techniques, load management, and regulatory frameworks like Power Purchase Agreements (PPA) and renewable energy tariffs. Throughout this course, our aim is not only to build your theoretical understanding but also to equip you with practical skills to design and analyze solar PV systems effectively. By the end, you will be prepared to tackle real-world challenges in the rapidly evolving field of solar energy. Thank you and let's begin our exploration into the Solar Power Generation.
Northeastern University
Agile Business Processes: Systems for Operational Success
The primary objectives of this course are to introduce business process concepts and strategies. You will learn how to understand and specify the flow of work responsibility and movement of information throughout an enterprise. For businesses to maximize the benefits of technology, they must transform their ad-hoc and often poorly defined ways of doing things to formal business processes. In addition, you will explore frameworks for business process management. You will also learn about the importance of business mapping as well as how to analyze stakeholders and keep them involved in the process.
Coursera
Automate, Analyze, and AI Feedback
Automate, Analyze, and AI Feedback is an intermediate-level course for MLOps professionals and data scientists who need to build AI systems that do not just launch, but last. In the real world, even the best models degrade over time due to model drift. This course teaches you to combat this by creating automated, self-improving systems that learn from operational experience. You will learn to design and deploy Human-in-the-Loop (HITL) pipelines that identify low-confidence predictions, route them for expert human review, and schedule automated retraining with the new, high-quality data. Moving beyond simple accuracy, you will master advanced model evaluation techniques. Through hands-on labs, you will generate and analyze Precision-Recall (PR) curves, apply resampling methods to ensure your model generalizes well, and select the optimal decision threshold that balances competing business objectives, like maximizing recall while minimizing false alarms. This course will equip you to build resilient MLOps systems that turn human expertise into a continuous source of model improvement.
Whizlabs
AWS: Databases and Migration
AWS: Databases and Migration is the seventh course of Exam Prep (SAP-C02): AWS Certified Solutions Architect - Professional Specialization. In this course, learners will explore Amazon RDS, covering Multi-AZ and Read Replica deployments, failover simulations, and comparisons with self-managed EC2 databases. The course also examines Data warehousing with Amazon Redshift and in-memory caching with Amazon ElastiCache. A significant portion focuses on Amazon DynamoDB, covering table creation, indexes (LSI & GSI), capacity, consistency, transactions, Streams, and DAX. Finally, the course addresses migration strategies using AWS Migration Hub, Application Discovery Service, and Schema Conversion Tool. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test learners' ability. Module 1: Relational Databases in AWS Module 2: Non-Relational Databases and Migration in AWS This course is designed for professionals seeking to demonstrate a comprehensive understanding of core AWS database services, including relational, NoSQL, caching, and data warehousing solutions. Understanding these services and essential migration tools is crucial for effectively building, deploying, and migrating applications and data on the AWS platform. - Senior Solutions Architects - Enterprise Architects - Cloud Infrastructure Architects - Senior DevOps Engineers By the end of the course, learners will be able to: - Learn use cases of RDS, Aurora, Redshift, ElastiCache, and DynamoDB. - Deploy Multi-AZ setups, read replicas, and DynamoDB indexes. - Understand AWS migration tools: Migration Hub and SCT.
BCG
التحوّل الرقمي
التحول الرقمي موضوع مثير للاهتمام، ولكن ماذا يُقصد به بالضبط؟ وماذا يعني للشركات؟ في هذه الدورة التدريبيّة، نتحدث عن التحوّل الرقمي بطريقتين. أولًا، نناقش وتيرة التغيّر والضرورة التي يفرضها لنجاح الأعمال. ثم نقدّم سياق هذا التحوّل وما الذي يحتاج إليه لتحقيق النجاح في عصر التكنولوجيا الرقمية. وبعد ذلك، نستعرض إطار ملكية مجموعة بوسطن الاستشارية (BCG)، الذي يساعدك في تحديد المجالات الرئيسية التي يُمكن تحويلها إلى الصيغ الرقمية، ومنها الاستراتيجية، والعمليات الأساسية، والتكنولوجيا. بنهاية هذه الدورة التدريبيّة، ستتمكّن من: --وصف علم الاقتصاد الذي يرتكز عليه الإبداع، والتكنولوجيا، واضطراب السوق --تقييم مزايا التكنولوجيا الرقمية الحالية التي تدفع التقدُّم وعيوبها --استخدام إطار مجموعة بوسطن الاستشارية (BCG) للتحوّل الرقمي كمرجع ""لكيفية"" التحوّل الرقمي لمنظمتك
EDUCBA
Customer Segmentation with K-Means: Model & Visualize
This practical course equips learners with the analytical skills to explore, model, and visualize customer shopping behavior using Python and K-Means clustering. Through structured modules, learners will prepare real-world customer data, construct meaningful visualizations, analyze variable relationships, and evaluate clustering outcomes to derive actionable business insights. Starting with data preprocessing and environment setup, learners will organize datasets and construct various statistical charts, including pie charts, histograms, and violin plots, to interpret customer attributes. Building on this foundation, the course guides learners through correlation analysis, scaling, and model development using the K-Means algorithm. Finally, learners will visualize customer clusters and assess shopping behavior to support strategic segmentation and personalized marketing decisions. By the end of this course, learners will be able to apply unsupervised machine learning techniques to segment customers and formulate data-driven business insights from complex shopping datasets.