The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Macquarie University
전략적 경영으로 경쟁우위 선점하기
오늘날 세상에서 전략적으로 생각하는 능력은 하이테크 비즈니스 환경에서 여러분의 조직이 미래에 살아남고 성장하는 데 중요한 역할을 합니다. 비즈니스 전략과 가치 생성을 자세히 알아보며 전략적 사고 능력을 키워 보세요. 또한 여러분은 영상 강의, 퀴즈, 토론 프롬프트, 그리고 서면 평가를 통해 조직의 경쟁력을 기르는 방법을 파악하시게 될 겁니다. 이 강의는 공동 가치 창출, 전략 및 마케팅에 대한 최근의 이론 이면의 핵심 원칙과 이를 적용하는 방법을 교육하는 데에 주안점을 두고 있습니다. 목표 달성을 위해 조직에 필요한 바를 지속적으로 계획 및 관측하고 분석하며 파악하는 과정에 대한 학습을 통해, 여러분은 여러분의 조직을 실현할 수 있는 전략적 방향으로 끌어나갈 수 있는 더 나은 방법을 준비할 수 있게 될 겁니다.
Alex Genadinik
ChatGPT - Artificial Intelligence (AI) That Works For You
ChatGPT is a new Artificial Intelligence (AI) tool that create blog content, social media content, and many other kinds of content for you, and within seconds. Plus, right now, it's free. THOROUGH WALKTHROUGH I understand that many people may not be familiar with Artificial Intelligence, and what it can do. If it's an intimidating concept, rest assured that I'll walk you through it step-by-step. Everything will be clear, and you will have many use cases for using ChatGPT for your business by the end of this course. SEE PROS AND CONS OF CONTENT GENERATED BY AI SOFTWARE I'll walk you through the differences of blog posts written by Artificial Intelligence software and humans. You'll see the advantages and disadvantages of both. The best part is that you'll be able to combine the best of both to ultimately create much better blog posts than you could if you wrote without the help of AI. BUSINESS IDEAS WITH AI Throughout the course, as we look at different applications of AI for content creation, I'll be giving you ideas for how you can start a new business providing certain services that AI does for you, or how you can add up-sells to your existing business. Invest in your future! Learn the hottest new marketing and business trend! Enroll today!
Arizona State University
AI Foundations: Prompt Engineering with ChatGPT
This prompt engineering course is a unique opportunity to delve into the world of ChatGPT and Large Language Models (LLMs). Designed by Andrew Maynard, an expert in transformative technologies, this course equips students with the skills needed to harness the power of ChatGPT effectively. Through a compact and engaging curriculum, students will learn to evaluate prompts and create impactful ones, maximizing the potential of ChatGPT. The course covers prompt templates, creative prompt structures, and the art of designing prompts for various tasks and applications. Open to learners from all backgrounds, this course does not require traditional engineering skills. Instead, it focuses on the clear and creative use of language, making it particularly appealing to those studying English, languages, humanities, and social sciences.
University of Minnesota
Introduction to Automated Analysis
This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs. After completing this course, a learner will be able to: - Understand the foundations of automated verification: randomization and symbolic representations - Distinguish the strengths and weaknesses of random testing, symbolic analysis, static analysis, and model checking - Use a variety of state-of-the-art static analysis and automated testing tools for automated verification - Create executable requirements as an oracle suitable for automated testing and symbolic analysis - Understand how the choice of oracle affects fault-finding for automated analysis strategies. - Use automated testing to achieve full mutation coverage - Create a test plan that utilizes both manually-written tests and automated tests towards maximizing rigor, minimizing effort and time, and minimizing test costs. This course is intended for learners interested in understanding the principles of automation and the application of tools for analysis and testing of software This knowledge would benefit several typical roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you have some familiarity with the Software development Life-Cycle, an understanding of the fundamentals of software testing, similar to what is covered in the Introduction to Software Testing and Black-box and White-Box Testing Courses. Familiarity with an object-oriented language such as Java or ability to pick-up Java syntax quickly to write and modify code, and willingness to use tools and IDEs are assumed.
Edureka
Power BI Integration with AWS and Snowflake
Take your data visualization and business intelligence skills further by learning how to connect Power BI with AWS and Snowflake, two of the most widely used platforms in cloud analytics. This course gives you practical experience designing, building, and managing data models in Snowflake using its unique architecture, as well as hosting, streaming, and visualizing datasets with AWS and Power BI. By the end of this course, you’ll know how to: - Set up AWS and Snowflake accounts and navigate their interfaces for data management. - Explore Snowsight, Snowflake’s user interface, to discover tables, data warehouses, and advanced analytics tools. - Create and manage databases, tables, and S3 storage buckets in both Snowflake and AWS for efficient data storage. - Connect Power BI to Snowflake and AWS, enabling you to visualize and analyze live data from cloud sources. - Apply best practices for data security, governance, and cost optimization in cloud environments. This course is ideal for data analysts, business analysts, database administrators, and anyone seeking to advance their ability to work with cloud-based analytics tools. Some past experience with MS Excel, SQL, AWS, R, or relational databases is helpful but not required. You will finish with hands-on expertise in cloud data integration, scalable architecture, automated reporting, and advanced business intelligence ,preparing you for real-world analytics roles in organizations using modern cloud platforms.
University of Colorado Boulder
Fornire un feedback utile (Giving Helpful Feedback)
Questo corso vi insegna i semplici principi che usano i manager esperti per migliorare e motivare le prestazioni dei dipendenti. Non dovete mai evitare di dire a un dipendente "la verità" di nuovo, perché le sette tecniche che insegnamo non metteranno i dipendenti alla difensiva né li spaventeranno. Come manager, o se volete diventarlo, imparerete nello specifico cos'è un feedback, come il feedback negativo pesa di più di quello positivo e come il feedback positivo può migliorare comportamenti come la creatività o il lavoro in gruppo. Dare feedback è un'abilità che si sviluppa con il tempo. Vi forniamo un processo che potete usare per migliorare le vostre abilità di feedback e per poterli fornire con sicurezza. Scoprirete che esiste una base scientifica per molte delle osservazioni e intuizioni relative ai feedback - come ad esempio, che è difficile darli correttamente, che alle persone non piacciono e altro ancora. Questo corso vi rassicurerà, poiché imparerete come superare queste difficoltà. Speriamo che vi divertirete diventando un manager migliore!
The University of North Carolina at Chapel Hill
Positive Psychology
This course discusses research findings in the field of positive psychology, conducted by Barbara Fredrickson and her colleagues. It also features practical applications of this science that you can put to use immediately to help you live a full and meaningful life.
IE Business School
From Ideas to Impact: Design Thinking for User-Centricity
This short course provides a comprehensive introduction to design thinking, a human-centered approach to problem-solving widely used for driving innovation. In the course, learners will discover the steps of the design thinking framework, understand how these steps are carried out by organizations and teams, and discover unique applications of design thinking so they, too, can apply these principles in their own professional contexts. The content is structured into three lessons, guiding learners through both theoretical and practical aspects of design thinking. The course is aimed at learners who do not yet have knowledge in design thinking methodology, those looking to further their capabilities in business essentials skills, and those looking to discover ways of generating innovation within their teams.
Simplilearn
Linear Algebra for ML and Analytics Training
This beginner-friendly course covers core linear algebra concepts essential for data science and machine learning. Start with linear equations and learn to identify linear vs. non-linear forms and solve systems with real-world examples. Then explore matrices and vectors, including matrix operations, special matrix types, and vector roles in linear transformations. Finally, discover how these foundations support techniques like Principal Component Analysis (PCA) for dimensionality reduction and data analysis. To be successful in this course, no prior experience is required. It’s ideal for students, aspiring data scientists, and machine learning beginners looking to strengthen their math foundation. By the end of this course, you will be able to: - Understand and apply linear equations and their forms - Identify and solve systems of linear equations - Perform matrix operations and work with special matrices - Use vectors in linear transformations - Apply linear algebra concepts in PCA and machine learning workflows Ideal for future data analysts, ML engineers, and AI professionals.
Northeastern University
Innovation for Impact (i4i) The Carlson-Polizzotto Method of Value Creation
Welcome! Partnering with Tech industry giants Curtis Carlson and Len Polizzotto, Northeastern University brings you “Value Creation: The Carlson-Polizzotto Method” a short-form course experience like no other. Building careers by solving for the value proposition - Curt and Len are responsible for driving the integration of the software technology behind Apple’s voice command intelligent assistant and creating the standard for high definition television - now known to billions today as Siri and HDTV. So why do more than 50 percent of businesses fail? It’s because they are not identifying what their customers value. Watch Curt and Len coach 4 groups of professionals, each from distinctly different industries, tech, startup, education, and marketing, and learn alongside them as they use the Value Creation methodology to increase the power of their organization’s value proposition. Evaluate the benefits of implementing a Value Creation practice that can impact your own strategic business initiatives so you can successfully create your business’ value proposition.
EDUCBA
Intercompany Transactions for Consolidated Reporting
This course provides a comprehensive and practical exploration of intercompany transactions within corporate group structures. Designed for learners with a foundational understanding of financial accounting, the course emphasizes the identification, analysis, and evaluation of intercompany activities that impact consolidated financial statements. The curriculum is structured into two modules. The first module introduces learners to core concepts, including the nature of intercompany transactions, types (downstream, upstream, partial, and associate sales), and the proper accounting treatment of these scenarios with respect to revenue recognition and elimination. Learners will apply these concepts through practical examples and simulations. The second module advances into more complex areas such as unrealized losses, lateral (sister-company) transactions, and the operational and technological challenges organizations face in managing them. It also covers how policies and systems affect accuracy and compliance in consolidated reporting. Real-world examples, quizzes, and graded assessments guide learners in evaluating risks, interpreting policy implications, and justifying the appropriate elimination entries in consolidation processes. By the end of the course, learners will be able to identify, analyze, and evaluate intercompany transactions and apply elimination techniques that align with international accounting standards for group reporting.
Edureka
Generative AI's Applications in Marketing Analytics
Welcome to the "Generative AI's Applications in Marketing Analytics" designed to introduce you to the fusion of Generative AI and marketing analytics. Throughout this course, you will explore how Generative AI enhances marketing analytics by providing advanced tools for actionable insights, accurate predictions, and more effective marketing strategies. By the end of this course, you will have gained the knowledge and expertise to: - Explain how Generative AI can transform marketing analytics, improving the way organizations understand and engage with audiences. - Apply methodologies and techniques of Generative AI specifically for marketing analytics, using these tools to uncover patterns, anticipate trends, and optimize campaign performance. - Identify ethical considerations and best practices for implementing Generative AI in marketing analytics, with a focus on secure, compliant, and responsible handling of consumer data. This course is intended for marketing managers, professionals, AI researchers, and consultants eager to leverage Generative AI for deeper marketing insights and responsible information stewardship. Whether you are new to AI or a seasoned marketing professional, you’ll benefit from practical knowledge and industry-tested frameworks that support your growth at the intersection of Generative AI and marketing analytics. Prepare to enhance your skills in data-driven marketing, ethical AI, and campaign optimization as you learn to apply Generative AI tools and techniques to real-world marketing challenges.
Packt
Procedural Maze Building - Unity 6 and Blender Compatible
This course 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. In this advanced course, you will learn how to build complex, multi-level dungeons programmatically using modular assets. You’ll start by replacing maze pieces with dungeon assets, adding larger rooms, walls, pillars, and doorways. The course walks you through essential dungeon construction techniques, including the integration of structural elements, proper placement patterns, and resolving 3D issues like Z-Fighting. By the end of this section, you’ll be able to design and programmatically manage a fully functional dungeon environment in Unity. Next, you will explore generating multiple dungeon levels and connecting them with vertical elements like manholes and stairwells. You’ll also refine your maze’s structure by creating a maze manager to help organize and oversee the placement of assets across different floors. The course then delves into A* pathfinding for navigating the maze and generating corridors between rooms. You'll apply this knowledge in your final project to design a unique multi-level environment with dynamic lighting, teleportation, and pathfinding systems. This course is ideal for those with prior game development or programming experience who are eager to build more complex, interactive environments. While basic knowledge of Unity is recommended, no advanced prior experience is required. The course offers an intermediate-to-advanced challenge, providing learners with valuable skills for dungeon creation and programming. By the end of the course, you will be able to design, build, and navigate multi-level dungeon environments, implement pathfinding algorithms, and complete a fully functional game-level project with dynamic features such as lighting, teleportation, and waypoint systems.
Coursera
Crafting AI Identities: Strategies & Ethical Considerations
Artificial intelligence is increasingly shaping our daily interactions, from virtual assistants to personalized recommendations. Chatbot key statistics show (Press, 2023), in 2022 that 88% individuals have had atleast one conversation with a chatbot and 35% of users prefer to use chatbots to resolves their complaints. Using AI identities to engage with customers in authentic and trustworthy way is becoming more important than ever. This short course was created to help professionals in AI development, UX/UI design, business and ethics accomplish the task of crafting authentic AI identities while considering ethical implications. In this 2-hour long course, you will learn how to understand user needs and preferences, define AI personality and voice, implement multimodal expressions, address bias and fairness, ensure privacy and data protection, promote transparency and accountability, and navigate human-AI interaction ethics. By completing this course, you'll be able to enhance user experiences with AI interactions, mitigate bias and ensure fairness in AI systems, and navigate ethical considerations in AI identity design, empowering you to create AI identities that resonate with users and uphold ethical standards. This project is unique because it combines practical strategies for crafting authentic AI identities with ethical considerations, providing learners with a holistic understanding of AI identity design. In order to be successful in this project, you will need a basic understanding of AI concepts, user experience design principles, and ethical frameworks. Press, G. (2023). Chatbot statistics for 2024: Usage, demographics, trends. What’s The Big Data? Retrieved from https://whatsthebigdata.com/chatbot-statistics/.
Whizlabs
Virtual Networks in Azure
Virtual Networks in Azure Course is the fourth course of Exam Prep AZ-104: Microsoft Azure Administrator Associate Specialization. This course teaches a demonstration of Virtual Networking in Azure. This also focuses on Azure DNS and Secure access to virtual networks and load balancing. In the end, it teaches how to Implement Monitoring virtual networking The course is divided into two modules, and each module is further segmented by Lessons and Video Lectures. This course provides learners with approximately 5:30-6:30 Hours of Video lectures that provide theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners. To be successful in this course, you should have a background in Networking and strong work experience in on-premises and cloud environments. This course is for those who have strong knowledge and work experience in the networking field (including Cloud Administrators, Cloud Engineers, Network Engineers, DevOps Engineers)
Coursera
How to Identify Your Target Audience
Imagine that you’re starting your own business. Knowing who is your target is more critical than ever. And if I told you that I literally started my business life with an idea where I was marketing the wrong audience? This course delves into the essentials of identifying and analyzing your target audience to tailor your products, services, and marketing strategies effectively. You'll learn how to harness data, engage with your audience on a deeper level, and leverage insights to drive growth and innovation in your business. By the end of this course, you will be equipped with the tools and knowledge to align your offerings with your audience's needs and preferences, ultimately leading to enhanced customer satisfaction and loyalty. This course is tailored for entrepreneurs, marketing professionals, product managers, and business strategists eager to deepen their understanding of audience identification and engagement. Whether you're launching a startup, refining marketing strategies, or developing new products, this course provides essential insights into leveraging audience insights for business success. Participants should possess a foundational understanding of marketing principles and demonstrate an interest in refining their skills in audience analysis. Familiarity with basic marketing concepts will enhance comprehension and application throughout the course, ensuring participants can effectively apply learned strategies in their professional roles. Upon completing this course, learners will master the ability to evaluate the critical importance of accurately identifying target audiences using Bloom's Taxonomy verbs such as "evaluate" and "critique". They will synthesize information from diverse sources to create detailed audience profiles, implement effective strategies for engaging and gathering feedback, and critically analyze the ethical and privacy implications associated with audience targeting in marketing campaigns.