The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Technion - Israel Institute of Technology
Innovation Career Lessons from a Master
This course, which is Part Three in the series of Startup Entrepreneurship specialization, offers Life Lessons from a Master Innovator, with proven achievements. During this course you will listen to conversations and interviews with Mr. David (Dadi) Perlmutter, who until recently was Executive VP of Intel corporate. Dadi will talk about 10 life lessons, based on his 34 years as a rebel innovator and entrepreneur. We will share with you the following lessons: Love and Knowledge are infinite: grow and share; Learn from Failures and Successes; Nothing Moves without a Vision; Have a Differentiated Market Transforming Strategy; Dare to Take Action; Fight Resistance; It is All About the Ecosystem; Build a Team; Keep it Simple and Work Hard. By the end of the course the learner will: * Know how to lead a process of innovation and implement ideas through all its phases from discovery to delivery in your own field of choice. * Know how to apply creativity to generate creative ideas in a wide range of strategic management issues. * Know how to solve problems in general, with a high degree of innovative creative thinking, to widen the range of possible choices * Identify new and unfamiliar challenges and needs, reflect on them from a creative point of view (zoom in), decide on the action they require (zoom out) and generate a novel and useful solution * Transform ideas into real value-creating products, services and processes. * Be able to analyze both success and failure and draw conclusions from both, for improving future innovative efforts. * Be able to identify and create key features of innovative products and services and in doing so, generate strategically differentiated innovations that are unique * Be able to present your ideas persuasively and overcome resistance. * Know how to simplify a complex product and make it user friendly. Course assignments will include participation in two discussion groups and four assignments. In each assignment you will be asked to deal with a question relating to an interview you have seen.
IE Business School
Integrated Marketing Communications: Advertising, Public Relations, Digital Marketing and more
Just how familiar are you with a marketing communication campaign? Learn more about this key pillar in the marketing mix and use it to give the push your product or service needs. Through this course you will understand the most important issues when planning and evaluating marketing communications strategies and executions in order to create valuable brands and win consumers. You'll be able to combine the appropriate theories and models with practical information to make better marketing communications decisions, and learn brand and product strategy key concepts such as, brand loyalty and equity, communications plans objectives and budgeting, AIDA model, FCB Grid, theoretical approaches to advertising design, message strategies, advertising appeals, executional frameworks, spokesperson selection, creative brief, among others. IE Business School professor Eda Sayin will guide you through the process with the help of expert interviews from international marketing firms and will provide interesting real-life examples. After this course you will be equipped with the knowledge to ensure that you make the correct decision when it comes to communications, the placement of advertising and digital marketing.
University of Colorado Boulder
Ethical Issues in Computing Applications
Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the third of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers medical applications, uses of robotics, autonomous vehicles, and the future of work. This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Google Cloud
Introduction to Large Language Models - Bahasa Indonesia
Ini adalah kursus pengantar pembelajaran mikro yang membahas definisi model bahasa besar (LLM), kasus penggunaannya, dan cara menggunakan prompt tuning untuk meningkatkan performa LLM. Kursus ini juga membahas beberapa alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.
Coursera
Map Fast in QGIS
Creating clear maps quickly is a critical skill when decisions need to be made fast. In this short, hands-on course, learners build confidence using QGIS to create clear, professional zoning maps for meetings, reports, and presentations. Through guided videos, focused readings, and hands-on labs, learners practice navigating the QGIS interface, loading vector and raster data, applying graduated color styling, and designing clean map layouts. The course emphasizes visual clarity for non-technical audiences, helping learners make thoughtful styling and layout decisions that improve understanding. Designed for beginners with no prior GIS experience, Map Fast in QGIS equips learners to produce council-ready PDF maps that communicate zoning information clearly and support real-world decision-making.
Coursera
Unreal para Principiantes: Crea videojuegos
Este proyecto Guiado "Unreal para Principiantes: Crea videojuegos" es un curso básico para Estudiantes que recién comienzan su camino por el mundo del desarrollo de Videojuegos. En este curso de una hora de duración aprenderás a crear un Nivel Jugable. Para lograr esto trabajaremos con el motor de Unreal Engine poniendo en práctica sus distintas herramientas con las que cuenta y conceptos de Diseño de Videojuegos. Este proyecto es único ya que está diseñado desde el enfoque de creación de Videojuegos para la industria del entretenimiento. Por lo que tiene conocimiento que es usado actualmente por muchas empresas de videojuegos. Para tener éxito en este proyecto, debes tener ya cierto conocimiento en el uso de una computadora, saber utilizar el explorador y haber utilizado herramientas básicas. Entre más familiarizado estés con una computadora te será más sencillo navegar por las opciónes.
Google Cloud
Serverless Data Processing with Dataflow: Operations - 日本語版
Dataflow シリーズの最後のコースでは、Dataflow 運用モデルのコンポーネントを紹介します。パイプラインのパフォーマンスのトラブルシューティングと最適化に役立つツールと手法を検証した後で、Dataflow パイプラインのテスト、デプロイ、信頼性に関するベスト プラクティスについて確認します。最後に、数百人のユーザーがいる組織に対して Dataflow パイプラインを簡単に拡張するためのテンプレートについても確認します。これらの内容を習得することで、データ プラットフォームの安定性を保ち、予期せぬ状況に対する回復力を確保できるようになります。
University of California, Davis
Introduction to Sensory Science
Did you know there's a science behind the flavors, textures, and aromas of the foods we eat, and why our favorite products look, feel, and smell the way that they do? In this course, we will provide a broad overview of the field of sensory science - its history, definition, and applications in academic research and in the consumer-packaged goods industry. We’ll also discuss how sensory science impacts other industries, including the medical sciences and information processing. We will also explore the roles of sensory evaluation in relation to the human instrument, marketing, product development, and quality assurance. Whether you are interested in better understanding your favorite foods or looking to expand your knowledge of the sensory sciences, this course is an excellent place to start.
Duke University
Think Again III: How to Reason Inductively
Want to solve a murder mystery? What caused your computer to fail? Who can you trust in your everyday life? In this course, you will learn how to analyze and assess five common forms of inductive arguments: generalizations from samples, applications of generalizations, inference to the best explanation, arguments from analogy, and causal reasoning. The course closes by showing how you can use probability to help make decisions of all sorts. Suggested Readings Students who want more detailed explanations or additional exercises or who want to explore these topics in more depth should consult Understanding Arguments: An Introduction to Informal Logic, Ninth Edition, Concise, Chapters 8-12, by Walter Sinnott-Armstrong and Robert Fogelin. Course Format Each week will be divided into multiple video segments that can be viewed separately or in groups. There will be short ungraded quizzes after each segment (to check comprehension) and a longer graded quiz at the end of the course.
Berklee
Jazz Improvisation
Learn the basic concepts of improvisation from Gary Burton, one of the most renowned improvisers in the jazz world, including the mental, melodic, and harmonic processes that contribute to the instinctive skills that an improviser puts to use when taking a solo. While many people are fans of jazz and understand that musicians are often “making up” the notes they are playing during a performance, most people—often including musicians, themselves, who are beginning to learn improvising—aren’t clear about what exact processes take place to enable this to happen. The purpose of this course is to introduce the basic concepts of modern improvisation and how to go about mastering the different musical and mental skills involved. Course author Gary Burton codifies a sought-after approach to improvisation that has been at the core of Berklee College of Music's curriculum for decades. Students who complete this course will know what to practice and how to practice the various aspects of improvising, in addition to understanding how the improviser spontaneously communicates to the listeners through their musical creations.
University of Glasgow
Generative AI for Students: Ethics & Academic Integrity
This course is designed for university students from all disciplines who seek to deepen their understanding of AI tools and their applications in research, studies, and academic writing. Whether you're in the sciences, humanities, or any other field, this course will equip you with the knowledge and skills to effectively integrate AI into your academic endeavours. Course Highlights: · Comprehensive Introduction: Gain a solid foundation in how various AI tools function as aids for study, research, and writing. Understand the theoretical aspects before diving into practical applications. · Practical Applications for Study: Learn how to apply AI tools in your research and studies. This hands-on approach ensures that you can leverage these technologies to enhance your academic work. · Ethics and Integrity: Explore key issues such as ethics, academic integrity, authorship, and plagiarism in the context of AI tools. Stay informed with the latest guidelines on using these tools responsibly and accurately. Benefits of Completing This Course: · Enhanced Research Capabilities: By understanding and utilising GenAI tools, you will be able to conduct more efficient and thorough research, saving time and improving the quality of your work. · Improved Academic Writing: Learn how GenAI can assist with rigour, efficiency and accuracy in academic writing. · Ethical Awareness: Develop a keen awareness of the ethical considerations and best practices when using AI in academia, ensuring your work maintains high standards of integrity. · Unique Learning Experience: This course stands out by offering a balanced mix of theoretical knowledge and practical skills, tailored to the needs of modern university students.
Shanghai Jiao Tong University
Discrete Mathematics
Discrete mathematics forms the mathematical foundation of computer and information science. It is also a fascinating subject in itself. Learners will become familiar with a broad range of mathematical objects like sets, functions, relations, graphs, that are omnipresent in computer science. Perhaps more importantly, they will reach a certain level of mathematical maturity - being able to understand formal statements and their proofs; coming up with rigorous proofs themselves; and coming up with interesting results. This course attempts to be rigorous without being overly formal. This means, for every concept we introduce we will show at least one interesting and non-trivial result and give a full proof. However, we will do so without too much formal notation, employing examples and figures whenever possible. The main topics of this course are (1) sets, functions, relations, (2) enumerative combinatorics, (3) graph theory, (4) network flow and matchings. It does not cover modular arithmetic, algebra, and logic, since these topics have a slightly different flavor and because there are already several courses on Coursera specifically on these topics.
Google Cloud
Google Meet - 日本語版
このコースでは、Google Workspace に付属する Google のビデオ会議ソフトウェアである Google Meet について紹介します。 Google Meet を使ってビデオ会議を作成し、管理する方法について説明します。Google Meet を開き、ビデオ会議にユーザーを追加するさまざまな方法について確認します。カレンダーの予定や会議リンクなど、さまざまなソースから会議に参加する方法についても説明します。 Google Meet を使用して、チームがどこにいても、コミュニケーション、意見の交換、リソースの共有をより適切に行う方法について説明します。ニーズに合わせて Google Meet 環境をカスタマイズする方法や、ビデオ会議中にチャット メッセージを効率的に使う方法について説明します。また、カレンダーの招待状や添付ファイルを使うなど、リソースを共有するさまざまな方法について確認します。 Google Meet の主催者用ボタンを使って参加者を管理し、インタラクティブな管理機能を利用する方法について説明します。ビデオ会議の録画やライブ ストリーミングを行う方法についても説明します。
Google Cloud
MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어
이 과정은 머신러닝 실무자에게 생성형 AI 모델과 예측형 AI 모델을 평가하는 데 필요한 도구, 기술, 권장사항을 제공합니다. 모델 평가는 프로덕션 단계의 ML 시스템이 안정적이고 정확하고 성능이 우수한 결과를 제공할 수 있게 하는 중요한 분야입니다. 강의 참가자는 다양한 평가 측정항목, 방법, 각각 다른 모델 유형과 작업에 적합한 애플리케이션에 대해 깊이 있게 이해할 수 있습니다. 이 과정에서는 생성형 AI 모델의 고유한 문제를 강조하고 이를 효과적으로 해결하기 위한 전략을 소개합니다. 강의 참가자는 Google Cloud의 Vertex AI Platform을 활용해 모델 선택, 최적화, 지속적인 모니터링을 위한 견고한 평가 프로세스를 구현하는 방법을 알아볼 수 있습니다.
EDUCBA
Lean Six Sigma Green Belt: Analyze & Improve
By the end of this course, learners will be able to define project scope, apply Lean tools to eliminate waste, measure process performance with statistical methods, analyze data to identify root causes, and implement sustainable improvements. Designed around the DMAIC methodology, this course equips learners with practical tools such as SIPOC, VOC, QFD, MSA, regression, ANOVA, DOE, and FMEA. Learners will benefit by gaining a strong foundation in Six Sigma and Lean principles, enabling them to drive efficiency, reduce variation, and achieve measurable business outcomes. Each module provides hands-on exposure to real-world scenarios, ensuring participants can translate theory into practice. What makes this course unique is its comprehensive alignment with Green Belt exam preparation, structured practice and graded quizzes, and emphasis on both technical rigor and organizational change management. Learners will not only master statistical analysis but also develop the leadership mindset required to guide teams and sustain improvements. This ensures readiness for both certification success and career advancement in process excellence.
Illinois Tech
Social Media Marketing Analytics
The course examines digital marketing analytics strategies, platforms for data ingestion, preparation, and reporting. The course focuses beyond social media marketing analytics. Digital marketing analytics is foundational to Digital Marketing because analytics is the language used to optimize and connect results across all digital marketing tactics – search, social media, email marketing, display ads, video ads, etc. An effective digital marketer is well versed in data and is a data translator for a business. Becoming well versed in analytics and data requires the cultivation of both technical and soft skills. This course aims to arm students with such skills.