The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
SkillUp
Generative AI: Elevate your Business Intelligence Career
Do you want to enhance your career in business intelligence (BI) by leveraging generative AI? This course discusses the use cases for leveraging generative AI across different stages of the BI lifecycle. The course teaches how generative AI-based tools enable querying databases, documents, and spreadsheets using natural language and AI. You will learn about SQL generation using AI tools and data analysis through clustering and segmentation. You will learn how generative AI can be useful for interactive data visualizations, including generating data infographics and dashboards. Using generative AI tools, you will learn to create and analyze reports and presentations. You will learn about text generation and summarization through generative AI and conversational interfaces in BI. The course also provides useful insights into ethical considerations, challenges, and limitations of using generative AI for BI. The course offers hands-on labs and a project to showcase your proficiency in applying generative AI to different use cases in the BI domain. With a blend of theory, hands-on labs, and real-world case studies, you’ll effectively use cutting-edge BI tools and techniques for business success. You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career. This course is suitable for existing BI Analysts as well as those starting their careers in this domain.
Google Cloud
Crea apps basadas en IA generativa en Google Cloud
Las aplicaciones de IA generativa pueden producir nuevas experiencias de usuario que eran casi imposibles antes de la invención de los modelos de lenguaje grandes (LLM). Como desarrollador de aplicaciones, ¿cómo puedes utilizar la IA generativa para crear apps interesantes y potentes en Google Cloud? En este curso, aprenderás sobre las aplicaciones de IA generativa y cómo puedes utilizar el diseño de instrucciones y la generación mejorada por recuperación (RAG) para crear aplicaciones potentes utilizando LLM. Aprenderás sobre una arquitectura lista para producción que puede utilizarse para aplicaciones basadas en IA generativa y crearás una app de chat basada en un LLM y RAG.
Google Cloud
Observability in Google Cloud - Português Brasileiro
Esta é a segunda parte do curso "Observability in Google Cloud". Esse curso aborda ferramentas de gerenciamento do desempenho de aplicativos, incluindo Error Reporting, Cloud Trace e Cloud Profiler.
University of Colorado System
Cryptography and Information Theory
Welcome to Cryptography and Information Theory! This course combines cryptography (the techniques for protecting information from unauthorized access) and information theory (the study of information coding and transfer). More specifically, the course studies cryptography from the information-theoretical perspectives and discuss the concepts such as entropy and the attacker knowledge capabilities, e.g., Kerckhoff's Principle. It also contrasts information-theoretic security and computational security to highlight the different train of thoughts that drive the cryptographic algorithmic construction and the security analyses. This course is a part of the Applied Cryptography specialization.
Google
Início do projeto: Como começar um projeto bem-sucedido
Esse é o segundo curso do programa Certificado de Gerenciamento de Projetos do Google. Este curso mostrará como preparar um projeto para o sucesso na primeira fase do ciclo de vida do projeto, a fase de início do projeto. Ao explorar os componentes-chave dessa fase, você aprenderá como definir e gerenciar metas de projeto, entregas, escopo e critérios para o sucesso. Você descobrirá como usar ferramentas e modelos como organograma de análise de partes interessadas e termos de abertura do projeto para ajudar a definir as expectativas do projeto e comunicar funções e responsabilidades. Os atuais gerentes de projetos do Google continuarão a instruir e fornecer abordagens práticas para realizar essas tarefas, ao mesmo tempo que mostram as melhores ferramentas e recursos de gerenciamento de projetos para o trabalho em mãos. Os alunos que concluírem este programa estarão preparados para se candidatar a empregos de nível introdutório como gerentes de projeto. Nenhuma experiência anterior é necessária. Veja do que você será capaz ao final deste curso: - Compreender o significado da fase de início do projeto do ciclo de vida do projeto. - Descrever os componentes-chave da fase de início do projeto. - Determinar os benefícios e custos de um projeto. - Definir e criar metas e entregas mensuráveis do projeto. - Definir o escopo do projeto e diferenciar entre tarefas que estão dentro e fora do escopo. - Explicar como gerenciar a deformação do escopo para evitar impactar as metas do projeto. - Definir e medir os critérios de sucesso de um projeto. - Concluir uma análise das partes interessadas e explicar sua importância. - Utilizar gráficos RACI para definir e comunicar as responsabilidades dos membros da equipe do projeto. - Identificar os principais componentes dos termos de abertura de projetos e desenvolver um termo de abertura para o início do projeto. - Avaliar várias ferramentas de gerenciamento de projetos para atender às necessidades do projeto.
Packt
Introduction to Ethical Hacking and Recon Techniques
Updated in May 2025. This course now 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. Unlock the essentials of ethical hacking with this comprehensive course designed to equip you with the tools and techniques to safeguard modern systems. You’ll delve into the core principles of cybersecurity, understand the motives behind cyberattacks, and learn the frameworks used by professionals to predict and counteract threats effectively. The course begins with foundational knowledge, including attacker motivations, cyber kill chains, and standards like the MITRE ATT&CK Framework. Next, you’ll explore advanced reconnaissance methods, from footprinting to social engineering recon and network scanning. Along the way, you’ll gain hands-on expertise in tools like nmap and techniques for stealthy scans, all while adhering to industry regulations and ethical guidelines. As the course progresses, you’ll master recon techniques such as Google Dorks, Shodan searches, and the use of the Diamond Model of Intrusion Analysis. You’ll also learn to analyze attack behaviors, apply threat intelligence, and model risks effectively to stay ahead of malicious actors. This course is perfect for aspiring ethical hackers, cybersecurity professionals, and IT enthusiasts eager to understand the offensive strategies that strengthen defensive security. No prior experience is necessary, making it accessible to beginners, but technical familiarity will be an asset for more advanced topics.
The Hong Kong University of Science and Technology
Fibonacci Numbers and the Golden Ratio
Learn the mathematics behind the Fibonacci numbers, the golden ratio, and their relationship to each other. These topics may not be taught as part of a typical math curriculum, but they contain many fascinating results that are still accessible to an advanced high school student. The course culminates in an exploration of the Fibonacci numbers appearing unexpectedly in nature, such as the number of spirals in the head of a sunflower. Download the lecture notes from the link https://www.math.hkust.edu.hk/~machas/fibonacci.pdf Watch the promotional video: https://youtu.be/VWXeDFyB1hc
University of California, Irvine
Advanced Writing
Course 3: Advanced Writing This is the third course in the Academic English: Writing specialization. By raising your level of academic writing, this course helps prepare you for college-level work. After completing this course, you will be able to: - plan and write a more sophisticated argument essay - identify plagiarism and explain how to prevent it - read and analyze several articles to form your own opinion on a topic - make connections between several articles - form thesis statements from your readings - use sources effectively when writing an essay Please note that the free version of this class gives you access to all of the instructional videos and handouts. The peer feedback and quizzes are only available in the paid version.
Packt
Foundations of Machine Learning with Azure
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 course, you will gain a foundational understanding of machine learning (ML) and how it is implemented on Microsoft Azure's cloud platform. You will begin by learning the fundamental concepts of machine learning, including types of learning, such as supervised, unsupervised, and reinforcement learning. With real-world case studies, you will explore how these ML techniques are applied in industries like healthcare, finance, and retail. You will also be introduced to the most important challenges in machine learning, such as overfitting, underfitting, and data quality concerns. As the course progresses, you'll dive into Azure Machine Learning Studio, understanding its interface, capabilities, and key features such as AutoML, data integration, and model management. You will learn how to set up experiments, connect to data sources, manage resources, and deploy machine learning models efficiently. The course will include practical demos to help solidify your understanding of data preprocessing, from importing and cleaning datasets to splitting and normalizing them for model training. By leveraging Azure’s flexible tools, you'll become comfortable with handling data, building, and deploying machine learning models. This course is designed for beginners and intermediate learners eager to gain hands-on experience with machine learning using Azure. It’s ideal for individuals looking to deepen their ML knowledge, as well as professionals looking to integrate machine learning into business solutions. The prerequisites include a basic understanding of programming and data science concepts, and an eagerness to explore machine learning through a cloud computing platform. By the end of the course, you will be able to build machine learning models, preprocess and clean datasets, utilize Azure’s tools for model training and deployment, and solve common ML challenges such as data imbalances and overfitting.
Google
Regression Analysis: Simplify Complex Data Relationships
This is the fourth course in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable relationships. You'll learn about different methods of data modeling and how to use them to approach business problems. You’ll also explore methods such as linear regression, analysis of variance (ANOVA), and logistic regression. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the eight courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Explore the use of predictive models to describe variable relationships, with an emphasis on correlation -Determine how multiple regression builds upon simple linear regression at every step of the modeling process -Run and interpret one-way and two-way ANOVA tests -Construct different types of logistic regressions including binomial, multinomial, ordinal, and Poisson log-linear regression models
Northeastern University
Practical Engineering Data Mining: Techniques and Uses
This course delves into both the theoretical aspects and practical applications of data mining within the field of engineering. It provides a comprehensive review of the essential fundamentals and central concepts underpinning data mining. Additionally, it introduces pivotal data mining methodologies and offers a guide to executing these techniques through various algorithms. Students will be introduced to a range of data mining techniques, such as data preprocessing, the extraction of association rules, classification, prediction, clustering, and the exploration of complex data, and will implement a capstone project exploring the same. Additionally, we will use case studies to explore the application of data mining across diverse sectors, including but not limited to manufacturing, healthcare, medicine, business, and various service industries.
Rice University
Finance for Non-Finance Professionals
This short course surveys all the major topics covered in a full semester MBA level finance course, but with a more intuitive approach on a very high conceptual level. The goal here is give you a roadmap and framework for how financial professional make decisions. We will cover the basics of financial valuation, the time value of money, compounding returns, and discounting the future. You will understand discounted cash flow (DCF) valuation and how it compares to other methods. We also step inside the mind of a corporate financial manager and develop the basic tools of capital budgeting. We will survey the how, when, and where to spend money, make tradeoffs about investment, growth, dividends, and how to ensure sound fiscal discipline. Our journey then turns to a Wall Street or capital markets perspective of investments as we discuss the fundamental tradeoff between risk and return. We then synthesize our discussion of risk with our valuation framework and incorporate it into series of direct applications to practice. This course requires no prior familiarity with finance. Rather, it is intended to be a first step for anyone who is curious about understanding stock markets, valuation, or corporate finance. We will walk through all of the tools and quantitative analysis together and develop a guide for understanding the seemingly complex decisions that finance professionals make. By the end of the course, you will develop an understanding of the major conceptual levers that push and pull on financial decision making and how they relate to other areas of business. The course should also serve as a roadmap for where to further your finance education and it would be an excellent introduction of any students contemplating an MBA or Finance concentration, but who has little background in the area.
Google Cloud
Enabling Sensitive Data Protection Discovery for BigQuery
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you implement discovery and protection for sensitive data in BigQuery using Sensitive Data Protection.
Whizlabs
Exam Prep CJE: Certified Jenkins Engineer
The Exam Prep CJE: Certified Jenkins Engineer is designed for candidates aiming to enhance their knowledge as DevOps professionals. The Certified Jenkins Engineer exam validates the knowledge of Jenkins essentials, Jenkins administration, and Jenkins pipelines. This course is customized to deep dive into Jenkins administration and pass the certification exam. By the end of this course, you will be able to: - Understand and Illustrate Continuous Delivery (CD) Pipelines. - Implement Master-slave connectors and protocol. This is an intermediate-level course, intended for learners who wish to advance their careers by improving their DevOps skills. Any aspiring candidate who wants to improve or implement continuous integration/continuous deployment workflow at their organization can benefit from this course. To succeed in this course, you should have basic knowledge of CI/CD concepts and hands-on experience with the Jenkins automation tool. This course provides 5+ hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations. Learners could find a total of 53 lectures in the training course with comprehensive coverage of the features and concepts of Jenkins. The course is divided into 4 Modules and each module is further split into lessons. In order to test the understanding of learners, every module includes Assessments in the form of Quizzes and In Video Questions. A mandatory Graded Questions Quiz is also provided at the end of every module. Module 1: Jenkins: Introduction and Key Concepts Module 2: Jenkins: Features Module 3: Jenkins: Building Continuous Delivery (CD) Pipelines Module 4: Jenkins: Continuous Deployment-as-code
University of Illinois Urbana-Champaign
Alternative Investments: Investing in Land & Real Estate
Alternative Investments: Investing in Land & Real Estate introduces learners to the fundamentals of investing in farmland and real estate as alternative assets. You'll explore agricultural economics, land valuation, ownership structures, and risk management strategies. The course also covers real estate investment types, liquidity considerations, and how these assets can fit into diversified portfolios. Through case studies and expert insights, you'll gain practical knowledge to evaluate whether land and real estate align with your financial goals. This course is part of the College of ACES suite of online programs. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit: https://aces.illinois.edu/online.
Packt
Intermediate Selenium WebDriver and Automation
Updated in May 2025. This course now 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. Embark on a comprehensive journey through browser automation with our Intermediate Selenium WebDriver course. Begin by setting up Selenium WebDriver and integrating it with development environments like PyCharm, configuring and running tests on Chrome, Firefox, Edge, and Safari across Windows and Mac. Delve into advanced techniques for locating and interacting with web elements, mastering XPath and CSS Selectors to handle complex web elements. Practical examples and exercises reinforce learning, preparing you for real-world challenges. Explore sophisticated interactions and utilities, such as handling hidden elements, dropdowns, and using JavaScript for automation tasks. Learn various wait strategies to ensure smooth and reliable test execution. By the end, you'll have a robust skill set to tackle any web automation project confidently. Designed for technical professionals familiar with Python programming and basic Selenium concepts, this course is ideal for software testers, QA engineers, and developers aiming to enhance their web automation skills. Key outcomes include installing and configuring Selenium WebDriver, automating tests across OSs, locating elements with advanced selectors, implementing efficient wait strategies, interacting with diverse elements, utilizing JavaScript, and preparing for technical interviews.