The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
PwC
Effective Business Presentations with Powerpoint
This course is all about presenting the story of the data, using PowerPoint. You'll learn how to structure a presentation, to include insights and supporting data. You'll also learn some design principles for effective visuals and slides. You'll gain skills for client-facing communication - including public speaking, executive presence and compelling storytelling. Finally, you'll be given a client profile, a business problem, and a set of basic Excel charts, which you'll need to turn into a presentation - which you'll deliver with iterative peer feedback. This course was created by PricewaterhouseCoopers LLP with an address at 300 Madison Avenue, New York, New York, 10017.
Google Cloud
Introduction to Image Generation - Português Brasileiro
Neste curso, apresentamos os modelos de difusão, uma família de modelos de machine learning promissora no campo da geração de imagens. Os modelos de difusão são baseados na física, mais especificamente na termodinâmica. Nos últimos anos, eles se popularizaram no setor e nas pesquisas. Esses modelos servem de base para ferramentas e modelos avançados de geração de imagem no Google Cloud. Este curso é uma introdução à teoria dos modelos de difusão e como eles devem ser treinados e implantados na Vertex AI.
Pearson
Hadoop and Spark Fundamentals: Unit 1
This course provides a practical introduction to the Apache Hadoop ecosystem. You will learn the basic skills needed to analyze and manage large, unstructured datasets. The course covers core concepts such as the data lake, MapReduce, and using Spark for analytics. You will install and configure Hadoop on your own computer using the Hortonworks HDP sandbox. The course includes instruction on the Hadoop Distributed File System (HDFS), its architecture, and how to use it in real-world situations. This course is suitable for beginners and those looking to expand their data analytics skills. By the end, you will understand the fundamentals of Hadoop and Spark for scalable data processing.
Whizlabs
Automating Infrastructure - Chef for DevOps
The course "Automating Infrastructure - Chef for DevOps" is a comprehensive skill enhancement program designed for developers aiming to become proficient DevOps professionals. This course offers extensive training videos that are segmented into modules, which provide learners with easy-to-understand lab demonstrations, including video lectures, reading material, and quizzes. These modules are divided into seven lessons, and assessments are provided to validate the knowledge checks of learners. Hands-on lab assessments are also available to reinforce learners' knowledge. As automation tools such as Chef become increasingly popular in organizations, learners will gain a better understanding of configuration management, making them more valuable in the DevOps industry. This automating infrastructure chef for devops course aims at developers to achieve DevOps Certifications. Some of the important benefits of achieving these certifications include: 1. Validates your knowledge and understanding of DevOps tools and methods. 2. Provides you with global recognition for your knowledge, skills, and experience. 3. Adds a credential to your resume and thus makes you stand out of the crowd. 4. Helps you get more opportunities to enhance your career as a DevOps professional. 5. Gets you more chances of being promoted in your current job or getting a new job with a high paycheck. A Coursera Certificate will be awarded to learners upon completion of the course, which will verify their knowledge of the program. Enrolling in the "Automating Infrastructure - Chef for DevOps" course is an excellent opportunity for learners to achieve career growth by becoming proficient DevOps professionals. With a better understanding of Chef for DevOps, learners can enhance their DevOps skills and achieve certifications that can make them stand out from the crowd. By becoming a certified DevOps professional, learners will have better opportunities for promotion, higher salaries, and the chance to work on exciting DevOps projects.
Coursera
Solidity for Beginners: Write and Test Smart Contracts
Have you ever thought about becoming a Solidity Developer and developing Smart Contracts? To be 100% immersed in the world of cryptocurrencies and blockchain? This industry is currently growing very strongly. The demand for Solidity developers is on average 20% higher than in other industries. In this 1 hour long project-based course, you will learn how to write your first Smart Contract on Solidity, deploy it using RemixIDE and interact with it from real code using web3.js. To achieve this you will write your own decentralized crypto-moneybox. You will create your own crypto wallet through Metamask. Write a Solidity Smart Contract code, deploy it to the blockchain, test it manually, and then learn how to call the Smart Contract code from a Java Script code. This course is aimed at learners who are looking to get started with the development of Smart Contracts on Solidity. There are no hard prerequisites and any competent computer user should be able to complete the project successfully.
Coursera
Configuring for Scala with IntelliJ IDEA
In this quick 1 hour guided project you will learn how to get IntelliJ IDEA ready for Scala development. We will cover SDK, JDK, Scala-SDK, customization and the Scala build tool (sbt). Prior Scala experience is helpful but not necessary for this project.
Rice University
Oral Communication for Engineering Leaders
Taught by Rice University communication faculty from the Rice Center for Engineering Leadership (RCEL). This course covers core topics in oral communication: Communication strategy, content, data visualization, and delivery. You’ll learn key principles in • Creating a communication strategy • Developing a clear message and organizing persuasive content • Creating strong visual support • Presenting data effectively • Presenting professionally and confidently • Handling formal presentations, giving pitches, speaking extemporaneously, managing online presentations, and lowering public speaking anxiety Selected materials courtesy of Communication Faculty at Rice University - all rights reserved.
Corporate Finance Institute
Classification - Fundamentals & Practical Applications
Classification problems are one of the most common scenarios we face in data science. This course will help you understand and apply common algorithms to make predictions and drive decision-making in business. Whether you’re an aspiring data scientist, studying analytics, or have a focus on business intelligence, this course will give you a comprehensive overview of classification problems, solutions, and interpretations. From Logistic Regression to KNN and SVM models, you’ll learn how to implement techniques in Excel and Python and how to create loops to run models in parallel. Since model evaluation is so important, we’ll dedicate a whole chapter to interpreting model outputs with evaluation metrics and the confusion matrix. With this, you’ll learn about false negatives, and false positives, and consider the impacts these may have on specific business scenarios. Finally, we’ll give you a brief insight into more advanced classification techniques such as feature importance, SHAP values, and PDP plots. Upon completing this course, you will be able to: • Distinguish between classic classification techniques including their implicit assumptions and practical use-cases • Perform simple logistic regression calculations in Excel & RegressIt • Create basic classification models in Python using statsmodels and sklearn modules • Evaluate and interpret the performance of classification model outputs and parameters Whether you’re an aspiring data scientist, studying analytics, or have a focus on business intelligence, this classification course will serve as your comprehensive introduction to this fascinating subject. You’ll learn all the key terminology to allow you to talk data science with your teams, benign implementing analysis, and understand how data science can help your business.
Automatic Data Processing, Inc. (ADP)
Advancing Proficiency in U.S. Payroll Fundamentals
Welcome to Advancing Proficiency in U.S. Payroll Fundamentals, the fourth course in ADP's Entry-level Payroll Specialist Professional Certificate program. Module 1 focuses on the responsibilities of an employer as it relates to net pay, tax deposits, and filings. Module 2 will explore the taxes employers are responsible for withholding from their employees' paychecks. Module 3 explores the regular deposits and filings required by most employers in the U.S. This is an entry-level course intended for beginner learners interested in learning the fundamentals of payroll, those pursing an entry-level Payroll Specialist role, and more experienced professionals looking to shift their career to purposefully focus on the area of a Payroll Specialist.
Dartmouth College
The American Renaissance and Frederick Douglass
This course introduces you to Douglass's view of the anti-slavery movement to the abolition of the institution of slavery. You will also go through some parts of Douglass's narrative of his own life. You will also hear Professor Chaney explaining the rationale of Douglass's repeated acts of self-narration.
Starweaver
Financial Modeling Fundamentals
This course introduces the principles and practice of building structured, assumption-driven financial models in Microsoft Excel. You will apply Excel modeling best practices to design clear input, calculation, and output sections; write robust formulas; and document assumptions for transparency and auditability. Starting with model layout and dynamic functions such as INDEX/MATCH and IFERROR, you will develop driver-based forecasts for revenue, expenses, capital expenditures, and working capital. You will then integrate these projections into a fully linked three-statement financial model—connecting the income statement, balance sheet, and cash flow statement with automated logic and validation checks. The course also covers scenario analysis, sensitivity testing using data tables, and model error-checking to support sound financial decision-making. By the end, you will be able to build dynamic, assumption-driven Excel models suitable for business planning, valuation, and performance analysis.
Microsoft
Customer Data, Analytics, and Segmentation
This course dives deep into Copilot's capabilities for leveraging customer data. You will explore connecting, enriching, and analyzing customer information to gain valuable insights into behaviors, preferences, and potential opportunities. You will learn how to personalize interactions, identify high-potential leads, and measure sales performance using Copilot's data-driven tools. This course is essential for sales professionals who want to harness the power of customer data to drive personalized engagement and maximize sales success. Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
Board Infinity
Enterprise Automation and Advanced Use Cases with Ansible
Step into the world of enterprise-scale automation with Enterprise Automation and Advanced Use Cases with Ansible — an advanced course designed for IT professionals ready to take their automation expertise to the next level. This course goes beyond foundational skills, equipping you with the tools and strategies to design, manage, and govern automation at scale across complex, hybrid environments. Through real-world enterprise case studies, advanced architectural patterns, and hands-on labs, you’ll gain the expertise needed to lead automation initiatives in large organizations. You’ll explore advanced concepts such as dynamic inventories, multi-environment scaling, security automation, compliance enforcement, CI/CD integrations, and governance using Ansible Automation Platform. By mastering these capabilities, you’ll be prepared to tackle enterprise automation challenges, from scaling to thousands of nodes to enforcing security policies across global infrastructure. By the end of this course, you will be able to: - Implement dynamic inventory and advanced variable handling. - Integrate Ansible with CI/CD tools for streamlined automation workflows. - Automate security compliance and audit tasks using Ansible. - Apply Ansible Tower/AAP Controller features for scalable automation governance. - Design enterprise automation architecture aligned with best practices. This course is ideal for: - Experienced IT professionals and system administrators leading automation in large environments. - DevOps engineers and architects responsible for CI/CD pipelines and infrastructure governance. - Security engineers aiming to automate compliance and audit processes at scale. - Teams and leaders looking to design and implement enterprise automation strategies. Note: This is Course 3 of the specialization series. Learners are expected to have completed the beginner and intermediate courses, or possess equivalent hands-on experience with Ansible. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with International Business Machines Corporation or any of its subsidiaries or affiliates. This course is not an official preparation material of International Business Machines Corporation. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Logical Operations
Power BI: Dashboards, Collaboration, and Optimization
To round out your data-analysis efforts in Power BI, you'll publish and export reports and create dashboards. You'll also collaborate and share content with other users. Finally, you'll optimize the usability and performance of your reports and dashboards. This is the fourth and final course in a multi-course Specialization. All of the courses in this Specialization require that you have a trial version of Microsoft 365 Business Premium, along with Power BI Desktop. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
LearnQuest
Advanced Threat Hunting and Incident Response
In the ever-evolving landscape of cybersecurity, organizations face escalating threats that demand advanced skills in threat hunting and incident response. This comprehensive course is designed to empower participants with advanced techniques to not only detect but effectively respond to cybersecurity incidents. Course Highlights: Proactive Threat Hunting: Explore advanced techniques for proactively seeking out and identifying potential threats within a network. Understand how to leverage threat intelligence and advanced tools to enhance threat hunting capabilities. Real-world Scenarios: Gain hands-on experience by navigating through real-world cybersecurity scenarios. Simulations and practical exercises ensure participants are well-prepared to face the challenges of threat hunting and incident response. Crisis Management: Learn effective incident response strategies to navigate through cybersecurity crises. Understand the importance of swift and decisive actions to minimize damage and facilitate recovery. Who Should Attend: This course is tailored for cybersecurity professionals, incident responders, network security analysts, and IT professionals seeking to advance their skills in threat hunting and incident response. Participants should have a foundational understanding of cybersecurity principles. Prepare yourself for the high-stakes world of cybersecurity with the Advanced Threat Hunting and Incident Response course. By the end of the program, participants will possess the knowledge and skills necessary to navigate and effectively respond to cybersecurity crises in today's complex threat landscape.
AI CERTs
AI for Strategic Leadership
AI for Strategic Leadership is designed for senior leaders and aspiring executives responsible for shaping AI strategy, governance, and enterprise-wide adoption. The course focuses on how organizations can move from isolated AI initiatives to scalable, value-driven transformation. Learners explore AI from a leadership perspective covering strategic planning, operating models, data readiness, talent structures, and decision frameworks required to embed AI into core business functions. The program emphasizes practical approaches to building AI roadmaps, aligning AI investments with business outcomes, managing risk and cybersecurity, and ensuring ethical and responsible AI use. Through case studies, applied projects, and real-world leadership scenarios, participants gain hands-on insight into evaluating AI opportunities, measuring impact, and leading cross-functional teams. The course also introduces enterprise AI and decision-intelligence platforms that support innovation, operational efficiency, and data-driven decision-making at scale. By the end of the program, learners will be equipped to guide AI initiatives with confidence, communicate effectively with technical and business stakeholders, and lead AI-enabled transformation across the organization.