The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Alcanza tu audiencia en Instagram con influenciadores
Al final de este proyecto podrás optimizar tu marca o tu negocio en Instagram para alcanzar a tu grupo objetivo. En este proyecto guiado descubrirás el gran potencial que ofrece el marketing de influenciadores en la plataforma Instagram. La colaboración con influenciadores ofrece gran potencial para aumentar el alcance de tu marca en Instagram. Primero optimizaremos tu cuenta de negocio en Instagram para establecer un perfil atractivo que atraiga tanto a tu grupo objetivo como a influenciadores para cooperaciones potenciales.
Pragmatic AI Labs
GitHub Enterprise Administration
Master GitHub Enterprise administration across seven critical domains. You will configure identity management using SAML SSO and Enterprise Managed Users with identity providers like Azure Active Directory and Okta. You will enforce the principle of least privilege by setting access permissions at the enterprise, organization, team, and repository levels, assigning roles such as member, owner, maintainer, and triage to match each user's responsibilities. The course covers security compliance through the security tab, dependency graphs, Dependabot alerts, and repository insights for monitoring project health. You will manage GitHub Actions at the enterprise scale using the Actions API to configure allowed actions, self-hosted runners, and workflow policies across organizations. You will also host and distribute software through GitHub Packages, including the container registry, RubyGems, npm, Maven, and NuGet registries. Each module includes hands-on demonstrations in the GitHub interface, from configuring organization settings and billing consoles to compiling Python from source in Codespaces. You will apply Kaizen continuous improvement methodology and the Plan-Do-Check-Act cycle to systematically optimize enterprise workflows.
Peking University
大学化学
本课程是北京大学开设的一门在线大学化学基础课，主要面向具有大学水平的化学初学者。课程内容基本涵盖全部基础化学概念。
Packt
Foundations of Data Analysis with Pandas and Python
Embark on a comprehensive journey into data analysis with Python and Pandas. Learn to set up Anaconda and Jupyter Lab on macOS and Windows, navigate Jupyter Lab's interface, and execute code cells. - You'll start by mastering essential Python programming concepts, including data types, operators, variables, functions, and classes. - Then, dive into Pandas to create and manipulate Series and DataFrames. The course covers data importing from sources like CSV, Excel, and SQL databases, along with techniques for sorting, filtering, and data extraction. - Advanced analysis methods, including group-by operations, merging, joining datasets, and pivot tables, are also explored to equip you with the skills for efficient and sophisticated data analysis. Ideal for aspiring data analysts and scientists, no prior programming knowledge is necessary with the included Python crash course.
Google Cloud
Mitigating Security Vulnerabilities on Google Cloud en Français
Dans ce cours en auto-formation, les participants étudient des solutions d'atténuation des attaques pouvant survenir en de nombreux points d'une infrastructure basée sur Google Cloud, telles que des attaques par déni de service distribué (DDoS) ou par hameçonnage, ou des menaces liées à la classification et à l'utilisation de contenu. Ils découvriront également Security Command Center, Cloud Logging et les journaux d'audit, ainsi que l'utilisation de Forseti pour connaître l'état de conformité global avec les stratégies de sécurité de l'organisation.
Coursera
Create a Mortgage Calculator in Excel
By the end of this project, you will learn how to create a mortgage payment calculator in an Excel Spreadsheet by using a free version of Microsoft Office Excel. Excel is a spreadsheet that is similar in layout as accounting spreadsheets. It consists of individual cells that can be used to build functions, formulas, tables, and graphs that easily organize and analyze large amounts of information and data. While a mortgage calculator helps you to see how extra payments effect your principal amount. We will learn to create a budget both automatically and manually, step by step. By utilizing Microsoft Excel, you will reduce the burden of working with your lender to create an early payoff plan. It will allow you to create your own payment plan for your timeline.
LearnKartS
Monitor and Close Risks
Welcome to this Monitor and Close Risks Course! This course covers the fifth and last domain of PMI-RMP® Exam Content Outline (ECO)-2022. This Monitor and Close Risks course equips you with the insights needed to monitor risks effectively and close risks systematically while contributing to organizational growth. You will learn through an interactive curriculum that involves practice assignments, graded quizzes, and real-world scenarios on key topics such as performance data analysis, risk reporting, and document updates. By the end of this course, you’ll be able to: • Monitor and measure the effectiveness of risk responses with data analysis. • Prepare detailed risk reports for diverse project approaches, including predictive and adaptive ones. • Update critical project documents like Risk Registers, Change Logs, and Management Plans to reflect current realities. • Address secondary risks impacted by contract types and project outcomes. • Incorporate lessons learned to improve organizational risk culture and future project success. • Contribute to organization-wide risk updates that enhance the overall system life cycle. Disclaimer: PMI, Project Management Institute, PMI-RMP, and the PMI logo are registered marks of the Project Management Institute, Inc.” This course is not affiliated with, endorsed by, or authorized by PMI.
Coursera
Secure AI Interpret and Protect Models
Ever wonder if your smart AI is actually secure? In this course, we'll ditch the dry theory to show you how to build genuinely resilient AI systems from the ground up, making security a core part of your design, not just an afterthought. You'll begin by stepping into the role of an AI Security Architect, running a “pre-mortem” to think like an attacker and neutralize threats before they even happen. Through focused videos and exercises, you’ll master essential defenses like blocking bad data with input sanitization, ‘vaccinating’ your model against attacks with adversarial training, and protecting user data with differential privacy. This all culminates in a hands-on lab where you'll personally fix a vulnerable model and prove its new resilience. The main goal is to shift your mindset from reactive patching to proactive design, so you’ll walk away with the real-world skills to analyze defense strategies, successfully harden a model in a lab, and design a comprehensive security plan for any new AI project. This course is for AI developers, security engineers, MLOps specialists, and data scientists aiming to master securing AI models against adversarial threats. Proficiency in Python and a machine learning framework (e.g., TensorFlow, PyTorch). Foundational knowledge of building and training AI models. By the end of this course, you’ll have gained the skills to thoroughly analyze and secure AI models, applying advanced defense mechanisms like adversarial training and differential privacy. You’ll be equipped to assess vulnerabilities, implement robust security strategies, and continuously test and improve your models. With hands-on experience fixing real-world AI vulnerabilities, you'll be prepared to design and deploy AI systems that are resilient against adversarial threats, ensuring their integrity and security throughout their lifecycle.
Packt
Project Management Best Practices using Agile and Scrum
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. Master Agile and Scrum methodologies to drive successful IT project management. This course equips you with the best practices to enhance efficiency, collaboration, and adaptability in dynamic project environments. You'll explore the reasons behind IT project failures and learn how Agile principles can help overcome these challenges. Your journey begins with an introduction to Agile and Scrum, covering their philosophies, frameworks, and principles. You'll analyze real-world case studies like the Phoenix Project and CRM Project to understand common pitfalls in IT project management. Next, you'll dive into change management strategies, learning step-by-step techniques for Agile adoption, overcoming resistance, and fostering a collaborative team culture. The course then explores key Agile principles, including iterative development, communication, time management, and teamwork. You'll also address common challenges in Agile adoption, from leadership resistance to inadequate training, and discover modern leadership styles that align with Agile methodologies. Finally, you'll develop practical skills through exercises on team collaboration, project estimation, and Agile retrospectives. Designed for project managers, team leads, and professionals looking to improve their Agile expertise, this course requires a basic understanding of project management. Whether you're new to Agile or looking to refine your approach, you'll gain valuable insights to enhance your projects and leadership skills.
Google
System Administration and IT Infrastructure Services
This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster. By the end of this course you’ll be able to: ● utilize best practices for choosing hardware, vendors, and services for your organization ● understand how the most common infrastructure services that keep an organization running work, and how to manage infrastructure servers ● understand how to make the most of the cloud for your organization ● manage an organization’s computers and users using the directory services, Active Directory, and OpenLDAP ● choose and manage the tools that your organization will use ● backup your organization’s data and know how to recover your IT infrastructure in the case of a disaster ● utilize systems administration knowledge to plan and improve processes for IT environments
École Polytechnique
Digital business - Act on the digital world
The idea that digital technology triggers profound change in companies is largely accepted. There is indeed no question that the digital world is profoundly changing business life. Everyone is now on the same page. But with the digital world come a lot of misconceptions and buzzwords. You can no longer get by with these commonplaces or general ideas. You need to gain a detailed understanding of the main new management paradigms: new marketing approaches, the role of data in data-driven management, large businesses’ struggle to innovate, etc. This will give you precise insight into changes at work. Without precision, it is difficult to understand. Without understanding, it is impossible to act. This module will tell you how. Week 1 : Big Picture Week 2 : Operational Area Week 3 : Focus Area
EDUCBA
Financial Budgeting: Analyze & Apply Planning Tools
By the end of this course, learners will be able to define the core concepts of financial budgeting, apply capital budgeting tools, calculate key investment metrics, and construct comprehensive budgets for business decision-making. This course equips learners to analyze cash flows, evaluate project viability using NPV, IRR, PI, and Payback methods, and design flexible and operating budgets that adapt to changing organizational needs. Learners will benefit by gaining both conceptual clarity and hands-on calculation skills, making them confident in preparing and interpreting budgets for personal and organizational finance. With real-world applications, step-by-step examples, and structured learning modules, this course transforms budgeting from a theoretical concept into a practical decision-making framework. What makes this course unique is its balance of foundational knowledge, applied calculations, and advanced budgeting frameworks. Whether you are a student, aspiring finance professional, or business manager, this course provides the tools to make informed, strategic financial decisions.
Voxy
Beginner English: About You
In this course, you will develop your English conversational skills that you can use to build your personal and professional relationships. Learning activities in this course will take place on Voxy, an engaging language learning platform that automatically adapts to your current level and your performance across reading, listening, speaking, grammar, and vocabulary skills so that every lesson is optimized for rapid improvement. Each week is made up of engaging, short, task-based lessons that can be done anywhere, anytime. Lessons include content from the real world, so you will learn from dozens of real conversations about a variety of common topics that come up when talking about the things that matter most to you. By the end of the course, you will feel confident describing your family and friends, discussing your hobbies and daily routines, and describing your job.
University of Maryland, College Park
Digital Marketing 2
Businesses today have access to an increasingly large amount of detailed customer data, and this influx of “big data” is only going to continue. Combined with a detailed history of marketing actions, there is a newfound potential for deriving actionable insights, but you need the tools to do so. Using real-world applications from various industries, this course will help you understand the tools and strategies used to make data-driven decisions that you can put to use in your own company or business. This valuable data may include in-store and online customer transactions, customer surveys, web analytics, as well as prices and advertising. You’ll also learn how to assess critical managerial problems, develop relevant hypotheses, analyze data and, most importantly, draw inferences to create convincing narratives which yield actionable results. Artificial intelligence and machine learning will be explored as tools to deepen analytical skills and acumen and hone decision-making. This comprehensive exploration into digital marketing analytics tools and techniques is critical knowledge for marketing influencers, digital marketing analysts, and product and brand decision-makers within small and medium businesses as well as larger organizations with international reach. What You'll Learn in this Course: Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into Search Engine Marketing and Website analytics, online testing, machine learning, and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively. Course Objectives: This course will cover the fundamentals of digital marketing. By the end of this course, you will be able to: 1- Analyze and assess the performance of paid search campaigns, diagnose potential problems, and recommend adjustments to the digital marketing campaign. 2- Describe the importance of Search Engine Optimization and Recommendation Systems in digital environments. 3- Evaluate campaign analytics and use online testing to determine how design affects the performance of a digital marketing campaign. 4- Describe the Paradigm shift in machine learning methods. 5- Identify the process of evaluating the performance of machine learning algorithms. 6- Describe the expanding application of big data as they apply to neural networks.
Università di Napoli Federico II
Asset Pricing Fundamentals
The course Asset Pricing I will provide students with the main theoretical and analytical tools to study and understand the economics of financial markets and portfolio choices. After learning the different structure that financial markets can take and the key functions that these perform, learners will analyze how financial markets affect saving and investment decisions in an economy with no uncertainty. Then, learners will be introduced to expected utility theory, which will provide them with the key analytical tools to study choices under uncertainty. These tools will then be used to model and analyze portfolio choices: first, learners will study the so-called canonical portfolio problem, that is, the problem of an investor who has to choose how to allocate their wealth between a safe and a risky asset; then, they will study portfolio choices that involve multiple risky assets. The analysis of portfolio choices will allow learners to characterize and determine investors’ optimal demand for risky assets, which will lay the foundation for the analysis of the Capital Asset Pricing Model, a milestone for asset pricing and financial economics. The analysis of the CAPM will finally teach learners how to characterize equilibrium returns and asset prices in financial markets, also understanding the key forces that govern these key variables.
EDUCBA
PySpark: Apply & Analyze Advanced Data Processing
This course equips learners with the skills to apply and analyze advanced data processing techniques using PySpark, the Python API for Apache Spark. Designed for data professionals with foundational Python and PySpark knowledge, the course explores real-world use cases including customer segmentation, text mining, and stochastic modeling. Learners will begin by applying RFM (Recency, Frequency, Monetary) analysis and K-Means clustering to segment customers based on behavioral patterns. The course then advances to extracting textual data from images and PDFs using Optical Character Recognition (OCR) and PySpark’s DataFrame operations. Finally, learners will construct and interpret Monte Carlo simulations to model probability and uncertainty in data-driven scenarios. Throughout the course, students will engage in hands-on exercises, real-time demonstrations, and practical quizzes that reinforce both conceptual understanding and technical proficiency. By the end of this course, learners will be able to develop scalable, efficient data workflows using PySpark for business intelligence, analytics, and simulation modeling.