The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Organize, Evaluate & Learn Marketing Campaigns
Transform chaos into clarity with proven project management techniques that top marketing teams use to deliver campaigns on time, every time. This Short Course was created to help digital marketing professionals accomplish systematic campaign organization and performance evaluation that drives measurable improvements. By completing this course, you'll be able to create visual project boards that eliminate confusion, track campaign progress with transparency, and conduct sprint retrospectives that turn lessons learned into actionable process improvements you can implement immediately. By the end of this course, you will be able to: Apply visual project management techniques to structure campaign workflows with clear timelines Evaluate sprint performance against planned goals to identify improvement opportunities This course is unique because it combines practical project management tools with Agile retrospective techniques specifically designed for marketing teams, giving you a complete system for organizing work and learning from outcomes. To be successful in this project, you should have a background in basic marketing concepts and familiarity with digital marketing campaigns.
Google Cloud
Se préparer à devenir Professional Cloud Network Engineer
Ce cours vous aide à préparer l'examen pour obtenir la certification Professional Cloud Engineer. Vous découvrirez les domaines Google Cloud abordés dans l'examen et verrez comment créer un plan de formation pour améliorer vos connaissances de ces domaines.
Google Cloud
Google Cloud Storage - Bucket Lock
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to use Google Cloud Storage Bucket Lock to manage object retention.
Dartmouth College
Why Smart Executives Fail: Common Mistakes & Warning Signs
We don’t often talk about mistakes and failures, but there’s so much to learn from what goes wrong. In this course, Professor Sydney Finkelstein will teach you why leaders make mistakes, and what you can do to avoid making those same mistakes yourself. Using real-life examples of smart executives who failed, Professor Finkelstein will walk you through scenarios that prepare you to understand, manage, and even take advantage of the continuous change that is inevitable in organizations and in life.
University at Buffalo
Decentralized Applications (Dapps)
This third course of the Blockchain specialization prepares you to design and develop end-to-end decentralized applications (Dapps) – which provide anyone with access to the blockchain’s features and services. You will use Truffle IDE, smart contracts, a simple web client and a MetaMask client. You will learn about the architecture of a Dapp: the front-end client interface, backed by the blockchain and smart contracts. The course covers the basic design of a Dapp, Truffle development process and commands (init, develop, test and migrate), test-driven development of Dapp, Dapp application models and emerging standards that are essential for predictable Dapp behavior. Main concepts are delivered through videos, demos and hands-on exercises.
University of Rochester
The Power of Markets III: Input Markets and Promoting Efficiency
The final module of the Power of Markets course begins by further exploring firm behavior in imperfectly competitive market settings: how firms with monopoly power can increase profits through price discrimination; and the price-output combinations we can expect firms to select in cases of monopolistic competition and oligopoly. We will also analyze monopolies from an efficiency perspective and look at the effects of imperfect information on firm and consumer behavior. We will next turn to exploring input markets and what determines the demand for an input by a firm, an industry, and the overall market. We will also look at the factors that affect input supply and how the supply of an input interacts with demand to determinant input prices. We will use input market theory to analyze institutions and government policies such as the NCAA sports cartel, the minimum wage, Social Security, and immigration. Finally, we will address the concept of market efficiency and what government can do to promote it as well as how government intervention may diminish it.
Whizlabs
AWS: Data Analytics
AWS: Data Analytics is the fourth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in configuring data integration services to discover, move, and integrate data from multiple sources for application development. Learners will explore a serverless, interactive analytics service to analyze petabytes of data in AWS. This course teaches learners to extract data from various sources using big data frameworks such as Apache Spark, Hive, or Presto. The course is divided into two modules and each module is further segmented by Lessons and Video Lectures. 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 the ability of learners. Module 1: Data Integration in AWS Module 2: Data Analytics and ML in AWS By the end of this course, a learner will be able to: - Examine data integration services to integrate data from multiple sources for analytics and application development. - Centrally manage data lake access permissions and share data within and outside your organization. - Describe a fully managed service to process and analyze streaming data at any scale in AWS. This course is intended for candidates who wish to enhance their skills in analyzing large and complex datasets and have basic hands-on experience in analytics and database services.
Packt
Behavioral Design Patterns in C++
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. Gain a comprehensive understanding of behavioral design patterns in C++ and learn how to implement them in real-world applications. Whether you're working with a simple application or a large enterprise system, these patterns will help you craft solutions that can evolve gracefully over time. The course starts by introducing you to the foundational concepts of behavioral patterns and how they differ from other design patterns. You will dive into patterns like Strategy, Template Method, Command, Memento, Chain of Responsibility, and more. Each section builds upon the previous one, with practical examples and case studies designed to show you how to apply these patterns in real-world scenarios. Throughout the course, you'll learn how to implement these patterns in C++ through hands-on projects, exploring topics like dynamic arrays, undo/redo functionality, multi-threaded applications, and more. You’ll also get a chance to refactor legacy code to incorporate these patterns, enhancing the design of an existing system. This course is ideal for C++ developers looking to advance their understanding of design patterns and improve their software development skills. It is recommended for those with prior knowledge of object-oriented programming and basic C++ syntax. The course is suitable for developers at an intermediate level. By the end of the course, you will be able to identify, implement, and apply key behavioral design patterns in your C++ projects, refactor code for better maintainability, and optimize system design for flexibility and scalability.
University of Colorado System
Regression Modeling for Marketers
"Regression Modeling for Marketers" is a specialized course designed to elevate marketing professionals' analytical skills. Focusing on regression analysis, the course enables learners to quantify, explain, and predict marketing outcomes using both simple and multiple linear regression models. This course stands out by not only teaching the creation and interpretation of market data visualizations but also showing the use of advanced statistical software for gaining marketing insights. Learners will explore sophisticated analytical techniques like ANOVA, ANCOVA, and MANCOVA, enhancing their ability to dissect the impact of marketing strategies. The course also covers logistic regression and multivariate testing, key tools for anticipating market shifts and consumer choices. Additionally, it emphasizes the application of uplift modeling for targeted and personalized marketing campaigns, making it an essential resource for contemporary marketers.
Coursera
Using JavaScript with AI: Enhancing Development Workflows
In this immersive guided project, learners will dive deep into JavaScript mastery through the development of a sophisticated Currency Converter App, leveraging the capabilities of ChatGPT for accelerated code creation. The project's central objective revolves around crafting a seamless tool for international financial transactions, catering to real-world currency conversion needs. The project's focal point is to expedite the creation of this Currency Converter App, empowering learners with practical skills extending beyond conventional coding paradigms. Leveraging ChatGPT's assistance, learners will efficiently architect code, enhancing their ability to address real-world challenges effectively. The intended outcome goes beyond JavaScript proficiency; learners will cultivate problem-solving acumen essential for navigating the complexities of modern web development. This guided project facilitates a comprehensive understanding of leveraging ChatGPT to streamline data handling, augment productivity, and excel in web application development. Emphasizing practical application, learners will not only build an efficient Currency Converter App but also refine user experiences, empowering them with skills tailored for success in professional endeavors. Prerequisites: Learners should be proficient in using JavaScript, Additionally, they should know web development concepts such as HTML/CSS for front-end design and API integrations in JavaScript. They should have the ability to write prompts on AI tools like ChatGPT.
Imperial College London
Globalisation and health governance
Globalisation and health governance is the first instalment of the wider Global Health Challenges and Governance specialisation from Imperial College London's Global Master of Public Health (GMPH). The scope and content of this course has been developed from the ground up by a combined team of academics and practitioners drawing on a wealth of real-world public health experience as well as deep academic knowledge. Through short video lectures, readings and a wide range of interactive activities, learners will be immersed in the world of global health. Designed for those new to the discipline, over four modules (intended for one week of learning each), learners will become familiar with the scope, history, principles, stakeholders and conceptual frameworks of global health, globalisation and governance. But there is also important foundational content for those coming from more experienced backgrounds, as the course builds upon a strong tradition of advocacy in public health and broad perspective of the global health context by exploring institutional, economic, socio-cultural and ecological determinants of population health. By the end of the course, learners will be able to confidently describe how globalisation impacts health and health governance at local, national and multilateral levels, and craft well-reasoned, evidence-based arguments about global health challenges. The subsequent courses require the knowledge from this course, as learners will take a deep dive into migration health and climate change by applying their foundational global health knowledge and advocacy skills to these important global health challenges.
Alex Genadinik
Most Beginner SEO Course Ever - Great For Complete Beginners
Are you completely new to the world of websites, Google, and online marketing? Have you ever heard the term “SEO” and thought, “That sounds complicated and not for me”? If so—you’re in the right place. This is the most beginner-friendly SEO course you will find anywhere, designed especially for people who: Are 50+, 60+, or just not tech-savvy Have never worked with websites before Want their business, blog, or idea to show up on Google Are ready to learn but need someone to explain it slowly and clearly What is SEO, and why should you care? SEO stands for Search Engine Optimization. It’s a fancy way of saying: “How can I help people find my website when they search on Google?” This course will show you: What SEO is—in plain, everyday language How Google works and how it chooses what to show people What “keywords” are and how to use them (with zero technical stress) Easy things you can do—even without a website—to start showing up online How to improve your visibility if you do have a website or blog No jargon. No overwhelm. Just real-world help explained like you’re chatting with a patient friend. What You’ll Learn (In Super Simple Steps) How Google finds and ranks websites How to choose and use the right keywords What you can do on your website (or social media) to improve visibility The importance of titles, content, and links How to track your progress (without needing a computer science degree) Tools We’ll Use (All Free and Beginner-Friendly) Google Search Google Business Profile (for local businesses) Google Search Console (just a little!) Who This Course Is For: Small business owners Retirees or older adults exploring online opportunities Bloggers, creators, or hobbyists Anyone who wants to learn SEO in the simplest way possible You don’t need: Coding skills A marketing background A website (but it helps) Any previous experience at all Whether you’re starting a small business, building a blog, or just want to understand how the internet works today, this course will take you from zero to confident—step by step, click by click. Come learn SEO the easy way—no tech talk, no confusion, just progress.Let’s help people find you on Google!
Google Cloud
Menyederhanakan Pengembangan App. dengan Gemini Code Assist
Kursus ini yang dirancang untuk developer di semua tingkat akan memperkenalkan fungsi dan fitur inti Gemini Code Assist kepada Anda. Gemini Code Assist adalah kolaborator pengembangan aplikasi yang didukung AI untuk Google Cloud. Anda akan mempelajari cara Gemini Code Assist meningkatkan produktivitas dan kualitas kode Anda secara signifikan, mulai dari saran kode cerdas dan pelengkapan otomatis hingga pendeteksian error secara real-time serta bantuan pemfaktoran ulang. Dengan demikian, Anda dapat menghemat waktu berharga untuk berfokus pada tugas-tugas yang lebih produktif dan menyenangkan.
Stanford University
How Software Ate Finance
Software is eating the world, with radical consequences for financial services. This course gives you a foundation for understanding the future of financial services, and provides guidance for creating fintech businesses in the 2020s and beyond.
Google Cloud
Introduction to AI and Machine Learning on Google Cloud
This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.
DeepLearning.AI
LangChain for LLM Application Development
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework. In this course you will learn and get experience with the following topics: 1. Models, Prompts and Parsers: Calling LLMs, providing prompts and parsing the response. 2. Memories for LLMs: Memories to store conversations and manage limited context space. 3. Chains: Creating sequences of operations. 4. Question Answering over Documents: Apply LLMs to your proprietary data and use case requirements. 5. Agents: Explore the powerful emerging development of LLM as reasoning agents. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.