The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
DeepLearning.AI
Data I/O and Preprocessing with Python and SQL
Most real-world data isn’t clean, it’s messy, incomplete, and spread across sources like websites, APIs, and databases. In this course, you’ll learn how to collect that data, clean it, and prepare it for analysis using Python and SQL. You’ll start by extracting data from webpages using tools like Pandas and Beautiful Soup, while also learning how to handle unstructured text and apply ethical scraping practices. Next, you’ll access real-time data through APIs, parse JSON files, and clean numerical data using techniques like normalization and binning. You’ll also learn how to manage authentication with API keys and store them securely. Finally, you’ll work with databases: Querying and joining tables using SQL, validating results, and understanding when to use SQL versus Python for different preprocessing tasks. By the end of the course, you’ll be able to turn raw, real-world data into reliable, analysis-ready inputs—a core skill for any data professional.
Real Madrid Graduate School Universidad Europea
Fueling Champions: Applied Sport Nutrition for Football
This course explores the advanced principles of applied sport nutrition for elite football, combining cutting-edge science with the practical expertise of Real Madrid’s performance team. Learners will discover how to translate nutrition research into daily practice, from fueling training and match performance to mastering hydration, recovery, and supplementation strategies. Through a progressive learning journey, you’ll explore the energy systems of football, the role of macro- and micronutrients in sustaining performance, and the science behind effective match-day and recovery nutrition. You’ll also gain practical insights into individualising nutrition for youth, female, and injured players. By completing this course, you’ll learn to apply evidence-based sport nutrition strategies that enhance performance, recovery, and health, equipping you with the tools to support athletes throughout their season.
Alex Genadinik
Increase Your Creativity In Any Field! Become More Creative
Learn about the state of playfulness, get more creativity in that state, and apply it to your most critical tasks while keeping risk of failure low. LEARN TO PLAYFULLY UNLOCK CREATIVITY AND IMAGINATION Most people think that you should be very serious about the things that are mission-critical for you. But if you are very serious, and stakes are high at all times, you'll be afraid to try new things, and you won't grow. In this course, you'll learn about balancing when and how to be playful and creative in the things that are most important for you so you can find novel and creative solutions that are levels above what's been done before. EXERCISES TO PRACTICE YOUR CREATIVE SKILLS It's not enough to just learn about creativity. You have to test your skills at it. There will be a number of exercises to help you try to find creative solutions in low-stakes scenarios. LEARN ABOUT HOW A LEVEL OF CREATIVITY CHANGES WITH EXPERIENCE If you're new at any given skill, you'll have a high number of creative solutions. They may not be great, but that will be creative. As you gain experience in a field, you no longer need to be creative since you have proven methods for doing things. But if you can keep your creativity deliberately up as experience grows, you'll find better and more useful creative solutions to problems. PHASES OF CREATIVITY When we engage in a creative process, there are actually at least two stages to that process. The first phase of creativity is to think as broadly as possible and gather as many ideas or options as possible. The second phase of creativity and go through all the creative ideas you've gathered, and edit them to make sense. The analogy for this would be the relationship between a creative writer and an editor. But in most cases of engaging in creativity, you must be both, the creative person and the editor. The combination of both of these will ensure that your creative works achieve high quality and resonate with people who may consume your creative works. CREATIVITY CAN BE APPLIED ANYWHERE IN YOUR LIFE Most people think that creativity is something you need during the creative process of making art or music. But I would encourage you to add creativity to just about every part of your life from problem-solving to professional work to personal life. Think outside the box all the time. It's a fun challenge you can take on every moment of your life, and the best part if that the results will often positively surprise you. MAKE CREATIVITY A PART OF YOUR IDENTITY - YOU ARE A CREATIVE PERSON Make everything you do creative, and live your live creatively. It's more fun, and a creatively-lived life is more fascinating moment-to-moment. Take pride in your creativity, and have it enrich every facet of your life. HOW HAVING A CREATIVE LIFE WILL CHANGE YOU Instead of doing the same old thing that everyone else does simply because it's the thing to do, you will think for yourself, and do the more enjoyable things that inspire and interest you. Separate yourself from the boring lifestyles of people around you. Instead of being a consumer of other people's entertainment, content, or products, turn yourself into a person who uses creativity to create content or product that other people consumer or buy. When you always come up with new ways of doing things or new solutions, you will become the thought leader people pay attention to, and follow. Invest in your future! Enroll today!
Coursera
Relational Database with Go: Build an Article Search Engine
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 using Go. More specifically, in this 1.5-hour long project-based course, you will learn how to access SQL databases, prevent SQL injection, as well as using advance Go features slices and defer. To achieve this, you will create a web article database management 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 variables, functions, and error handling, and SQL (SELECT, ADD, DELETE, LIKE). Knowledge of HTML, CSS are helpful but is optional. We will be using Fiber for the frontend user interface but prior knowledge is not necessary as that part of the project is already written.
The State University of New York
تطوير تميزك المهني والتدريب الذاتي
في هذه الدورة التدريبية، ستشارك في تطوير وتعزيز الجانب الوظيفي لتميزك المهني. بصفتك "الرئيس التنفيذي لنفسك" (P. Drucker)، سوف تتعلم كيفية استخدام نماذج وأساليب الإدارة الإستراتيجية لتعزيز محفظة مهاراتك. وسوف تتعلم كيفية زيادة رأس مالك البشري عن طريق تطوير وتوثيق مهاراتك التنافسية المميزة. بعد الانتهاء من هذه الدورة، ستتمكن من: - تنفيذ إستراتيجية الأعمال ونماذجها وأدواتها، مثل المقارنة المعيارية وتحليل نقاط القوة والضعف والفرص والمخاطر (SWOT)، لتحديد وتحليل نقاط القوة التنافسية ومعالجة فجوات الكفاءة في سياق اختيار الوظيفة التنافسي والقائم على المهارات؛ - فهم منهجيات وأساليب تقييم المهارات استنادًا إلى الأدلة والبيانات؛ - تحديد أدوات التقييم المناسبة وتطبيقها لإجراء تقييم ذاتي شامل ودقيق وقائم على الأدلة والبيانات لمهاراتك المتنوعة التي يمكنك مشاركتها مع غيرك (المهارات التشاركية)؛ - إنشاء ملفك التعريفي للكفاءات بالغة الأهمية ("شبكة التقييم الذاتي، أو SAGE") واستخدمه كأداة فعالة للتقييم الذاتي الموضوعي والشامل لنقاط القوة التنافسية وفجوات الكفاءة؛ - إنشاء واستخدام أداة فعالة لتنظيم أنشطة بناء المهارات وتوجيهها ومتابعتها ("لوحة بناء المهارات أو برنامج بناء المهارات")؛ - تطوير أداة فعالة ("T-Portfolio") لجمع وتنظيم عينات من المعايير، وأفضل الممارسات، وأدوات التقييم والأساليب المتبعة في مجالك المختار؛ - التنظيم الفعال لنظام معلومات الإدارة الذاتية من أجل جمع وتحليل البيانات المتعلقة بالوظيفة بأسلوب منهجي، وتقدير وتقييم الكفاءات والمهارات المطلوبة، وتطوير وتنفيذ خطط للتحسين الذاتي، ومتابعة مستوى تقدمك؛ - تطوير وتنفيذ مقياس أداء واقعي لأنشطة التطوير المهنية ("القيمة السوقية الحالية للوظيفة")؛ - الانخراط في التدريب الذاتي لدعم التطوير الذاتي بفاعلية.
Coursera
Fundamentals of Data Governance Ownership, Privacy, Security
This course explores the essential principles of managing and protecting organizational data. This course covers key concepts such as data ownership, stewardship, accountability, and compliance with regulations like GDPR, FERPA, HIPAA, and CCPA. Designed for professionals handling data—whether in IT, compliance, business, or leadership—it equips learners with practical strategies to secure sensitive information and ensure legal and ethical standards are met. Participants will engage with real-world frameworks and tools for risk assessment, access control, and data protection. Applicable across industries like healthcare, finance, and technology, this course empowers you to build trust, reduce risks, and strengthen data management practices, enabling organizations to responsibly leverage data as a strategic asset while safeguarding privacy and security.
Skillshare
Creative Nonfiction: Write Truth with Style
The rise of sites like Medium and Longreads have inspired a resurgence in creative nonfiction—that compelling, leisurely writing that weaves true ideas and characters into stories that reveal as much about its readers as its subject. But where do those stories come from? And how do they work? In this class, Susan Orlean, best-selling author and longtime New Yorker staff writer, walks us through her writing process for transforming ordinary subjects into exceptional stories. She reveals how she prepares to write, takes a close look at her classic Esquire piece “The American Male at Age Ten,” and delves into why curiosity, revision, and collaboration are at the heart of being a writer. This course demystifies the writing craft so that you can write a short and unforgettable profile of your own. Whether you’re an active writer, aspiring freelancer, or simply curious about the power of language, this class will help you navigate and polish the creative process of telling your best story. Instructor bio: Susan Orlean is an acclaimed American journalist. She has been a staff writer at The New Yorker since 1992, and has contributed articles to Rolling Stone, Vogue, and Esquire. She is the author of eight books, including The Orchid Thief (later adapted into Spike Jonze's Adaptation, in which Meryl Streep portrayed Orlean) and the New York Times bestseller Rin Tin Tin. She was a 2004 Nieman Fellow at Harvard University. In 2012, she received an honorary Doctor of Humane Letters from the University of Michigan. She has served as a judge for many literary prizes, including the National Book Awards, the Bellevue Literary Prize, and the Iowa Review Awards. Susan divides her time between Los Angeles and New York. Her Twitter bio reads "Writer, writer, writer. Oh, I also write."
École Polytechnique Fédérale de Lausanne
Digital Signal Processing 3: Analog vs Digital
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up. Starting from the basic definition of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice. To make the best of this class, it is recommended that you are proficient in basic calculus and linear algebra; several programming examples will be provided in the form of Python notebooks but you can use your favorite programming language to test the algorithms described in the course.
The Hong Kong University of Science and Technology
Discrete Math for Computer Science - Counting & Probability
This course develops the mathematical tools needed to count, measure uncertainty, and reason about random processes, which are central to computer science, data analysis, and algorithm design. Building on the logical foundations from the first course, it introduces combinatorial counting techniques and probability theory through a discrete, computation-oriented lens. The course begins with the fundamentals of counting, including the product rule, sum rule, permutations, combinations, and binomial coefficients. You will learn how to count complex structures efficiently using techniques such as the principle of inclusion and exclusion, with applications ranging from algorithm analysis to data organization. The second half of the course focuses on probability, emphasizing its deep connection to counting. Topics include sample spaces, events, conditional probability, independence, and Bayes’ Theorem. You will also study random variables, probability distributions, expectation, and variance, gaining tools to model and analyze randomized algorithms and real-world uncertainty. Throughout the course, abstract concepts are reinforced with concrete examples drawn from computing, games of chance, and classic probability puzzles. By the end, learners will be able to systematically count possibilities, compute probabilities, and reason rigorously about randomness—skills essential for advanced study in algorithms, data science, machine learning, and beyond.
Google Cloud
Create a Cosmetic Anomaly Detection Model using Visual Inspection AI
This is a self-paced lab that takes place in the Google Cloud console. Create a Cosmetic Anomaly Detection Model using Visual Inspection AI
FAIR Institute
Understanding Cyber Risk Reporting with FAIR™
In today’s digital landscape, cyber risk transcends technical concerns and has become a pivotal strategic issue for Fortune 500 company board directors. This course is designed to equip board members with a solid understanding of why cyber risk should be considered a core component of business strategy and how board members should provide oversight of the cyber risk management practices of the firms they govern. Through a combination of expert-led discussions, participants will explore the following: Cyber Risk and Business Strategy: Understand how cyber risk intertwines with organizational goals and affects strategic decision-making at the highest levels. Regulatory and Compliance Considerations: Learn about the regulatory frameworks and compliance requirements that govern cyber risk management. Critical Questions for Board Oversight: Discover the essential questions board directors should ask to ensure robust cyber risk governance, including risk assessments, incident response plans, and resource allocation. Real-World Examples: Understand actual incidents and learn from organizations that have successfully navigated cyber challenges and those that have faced significant repercussions. Creating a Cyber-Savvy Culture: Explore strategies for fostering a culture of cybersecurity awareness and accountability throughout the organization. By the end of this course, board directors will be empowered to lead informed discussions around cyber risk, advocate for appropriate investment in cybersecurity measures, and enhance their organization's resilience against cyber threats. Join us in transforming cyber risk from a technical issue into a strategic business priority.
Google Cloud
Google Cloud IAM and Networking for AWS Professionals
This is the first course of a four-course series for cloud architects and engineers with existing AWS knowledge, and it compares Google Cloud and AWS solutions and guides professionals on their use. This course focuses on Identity and Access Management (IAM) and networking in Google Cloud. The learners apply the knowledge of access management and networking in AWS to explore the similarities and differences with access management and networking in Google Cloud. Learners get hands-on practice building and managing Google Cloud resources.
Google Cloud
Gemini for end-to-end SDLC - Français
Dans ce cours, vous découvrirez comment Gemini, un outil de collaboration Google Cloud optimisé par l'IA générative, vous aide à utiliser les produits et services Google pour développer, tester et gérer des applications. Avec l'assistance de Gemini, vous apprendrez à développer une application Web, à corriger les erreurs de l'application, à créer des tests et à interroger des données. À l'aide d'un atelier pratique, vous verrez en quoi Gemini améliore le cycle de vie du développement logiciel (SDLC, software development lifecycle). Duet AI a été rebaptisé Gemini, notre modèle nouvelle génération.
Coursera
Understanding Large Language Models in Business
This course offers a deep dive into Large Language Models (LLMs), exploring their capabilities, applications, challenges, and future potential in the business landscape. Through a blend of theoretical insights and practical examples, learners can review and acquire concepts related to LLMs and their transformative impact on various industries. Today, major organizations use related LLM technologies such as Customer Support Chatbots, Marketing Content Generation, and Software Development tools. The impact of these technologies combined with real-time Data Analytics has transformed a wide range of industries, from airlines, advertising agencies, legal firms, and health care, just to name a few. Overall, Generative AI is changing the landscape faster than ever. As we dive into the lessons of this course, we will frame our discussions through several cases for marketing, software programming, content creation, and analytics. This course provides a 360° overview of the current abilities of state-of-the-art LLMs for businesses. Moreover, through this course, you will learn to identify some of the trends behind LLMs such as Neural Networks, Transformers, source models, and APIs. This program is designed for: 1- Entrepreneurs, business executives, and employees in general, will be able to evaluate how LLMs could affect their business. 2- Non-technical participants who can detect areas in which LLMs can improve their productivity. 3- Technical participants who will generate ideas to apply their skills and use LLMs to their advantage. 4- Learners who will have an opportunity to foresee what areas of business are likely to be impacted by LLMs. Learners should ideally possess the following prerequisite skills: Basic knowledge about business and startups; Curiosity for the field of AI; and General interest in machine learning and AI-related technologies.
Starweaver
GenAI Data Engineering and RAG Systems
Ready to make AI systems work with your organization's unique knowledge and data? Most AI implementations hit a wall because they can't effectively access, process, and utilize enterprise information, leaving vast potential untapped and organizations frustrated with generic responses. This course transforms you into an expert data engineer who can build sophisticated RAG (Retrieval-Augmented Generation) systems that seamlessly bridge AI models with your organization's knowledge assets. You'll master advanced data processing pipelines that transform raw documents into AI-ready formats, architect high-performance vector databases for semantic search, and implement intelligent retrieval strategies that deliver contextually perfect responses. Through comprehensive hands-on labs, you'll build enterprise-grade RAG systems with adaptive orchestration, context-aware personalization, and production-ready monitoring. This course is designed for technical professionals working at the intersection of data and AI. Ideal participants include data engineers transitioning into AI workflows, ML engineers focused on robust data pipelines, software engineers developing intelligent systems, and AI/ML specialists implementing Retrieval-Augmented Generation (RAG) architectures. The curriculum speaks directly to those building or maintaining production-grade systems where data integrity, contextual awareness, and performance are critical. To get the most out of this course, learners should have a strong foundation in Python programming, along with familiarity in working with databases and data processing workflows. A solid understanding of machine learning principles is essential, as is experience with APIs and web services. Exposure to cloud-based infrastructure and tools will also be highly beneficial for the hands-on implementation of RAG systems and data pipelines. By the end of this course, learners will be able to build enterprise-grade data pipelines with robust validation, transformation, and AI-ready formatting. They will gain practical experience in implementing advanced RAG architectures using vector databases, embeddings, and dynamic context management. The course also delves into powerful optimization strategies such as reranking, metadata filtering, and adaptive context handling. These capabilities will culminate in the design and deployment of specialized, context-aware customer support systems that deliver scalable, personalized, and measurable performance.
Alfaisal University | KLD
استراتيجيات التسعير | Pricing Strategies
عملية التسعير (Pricing) من أكثر العمليات أهمية لجميع الشركات حول العالم، حيث أنها المرحلة النهائية لظهور المنتجات في الأسواق، فعند إجراء عملية التسعير بصورة صحيحة وفقاً للقواعد العلمية المعمول بها طبقاً لعلم التسويق، ستكون المحصلة النهائية هي تحقيق الإيرادات المستهدفة وستقوم بتغطية التكاليف كافة التي تحملتها الشركة في عملية التصنيع، لكن إذا تمت تلك العملية بصورة خاطئة وغير محسوبة، فسيؤدي ذلك إلى عدم اكتمال دورة حياة المنتج في الأسواق وبالتالي تحدث الخسائر. 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 استراتيجيات التسعير، 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: التعرّف على العلاقة بين التسويق والتسعير، تمييز الفرق بين التكلفة الثابتة والتكلفة المتغيرة، مقارنة الطرق المختلفة لاستراتيجيات التسعير، تحديد المقصود بالمرونة السعرية.