The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
TikTok Optimization: Grow Your Presence
This course will help you refine your content strategy by using TikTok's analytics tools to track performance and optimize your videos for greater reach. You'll learn how to interpret key engagement metrics and adjust your approach based on data insights. This course also explores various monetization avenues on TikTok, including setting up TikTok Shop, leveraging livestream shopping, securing brand collaborations and sponsored content opportunities, and understanding the TikTok Creator Fund. By the end of this course, you will be able to: - Analyze TikTok metrics and content performance - Optimize content based on analytics insights - Develop your TikTok monetization strategies
Coursera
كيفية إنشاء الفرق والانضمام إليها باستخدام كانفا
في هذه الدورة التدريبية القائمة على المشروع و التي تستغرق ساعة واحدة، ستتعرف على أداة كانفا و أبرز استخداماتها وكيفية انشاء لوغو أو استخدام قوالب لوغو جاهزة، وستتعرف على طريقة تصميم قوالب الفيديو باستخدام كانفا، وأخيرا ستتعلم كيفية إنشاء فرق تضم اليها على كانفا. في نهاية هذه الدورة، ستصبح قادراً على انشاء فرق و الانضمام اليها في كانفا.
Packt
Advanced Data Processing and Analytics with AWS
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. This course equips learners with the skills to efficiently process and analyze large volumes of data using AWS services. You will gain expertise in streaming data with Amazon Kinesis and Amazon MSK, running big data workloads on Amazon EMR, building data lakes on AWS, and querying data using Amazon Athena. The course is designed to help you develop a deep understanding of AWS tools and best practices for managing data in cloud environments. Through the course, you will explore the fundamentals of streaming data and various AWS services that support real-time analytics, such as Kinesis and MSK. You’ll also dive into building scalable data lakes using AWS Lake Formation and learn how to run big data processing workloads using Amazon EMR, along with optimizing them for cost and performance. Each module builds on the last, allowing you to master streaming, storage, and query operations seamlessly. As you progress, you will learn how to configure and optimize systems for maximum throughput. The course features hands-on exercises and best practices for using AWS tools, ensuring that you develop practical skills for real-world applications. The structure ensures that you understand the foundational concepts before advancing to complex data management and optimization techniques. This course is ideal for data engineers, cloud architects, or anyone looking to advance their skills in AWS data processing. While prior experience with cloud services is helpful, the course is designed for those with an intermediate understanding of data management and analytics. By the end of the course, you will be able to configure AWS services for real-time data processing, set up data lakes, optimize big data workloads on Amazon EMR, and query data efficiently using Amazon Athena.
Infosec
Introduction to Python for Cybersecurity
This course it the first part of the Python for Cybersecurity Specialization. Learners will get an introduction and overview of the course format and learning objectives.
Universidad Nacional Autónoma de México
Proyecto final - Construyendo una aplicación profesional con Android
¡Es momento de construir tu propia aplicación profesional! En este curso, no sólo deberás desarrollar tu aplicación móvil sino que, ésta, contribuirá a la mejora de tu ciudad, de tu país o del mundo. Para lograrlo, retomarás lo aprendido a lo largo del programa especializado, usarás las herramientas avanzadas de Android y, por supuesto, es necesaria tu creatividad. Prepárate para convertirte en un desarrollador de aplicaciones profesionales.
Johns Hopkins University
Introduction to Systematic Review and Meta-Analysis
We will introduce methods to perform systematic reviews and meta-analysis of clinical trials. We will cover how to formulate an answerable research question, define inclusion and exclusion criteria, search for the evidence, extract data, assess the risk of bias in clinical trials, and perform a meta-analysis. Upon successfully completing this course, participants will be able to: - Describe the steps in conducting a systematic review - Develop an answerable question using the “Participants Interventions Comparisons Outcomes” (PICO) framework - Describe the process used to collect and extract data from reports of clinical trials - Describe methods to critically assess the risk of bias of clinical trials - Describe and interpret the results of meta-analyses
Universitat de Barcelona
Estrategias para ganar. Meteorología en la vuelta al mundo
Tanto si eres o no aficionado a la navegación, en este curso aprenderás cuáles son los principales motores del tiempo en la Tierra y lo que los navegantes deben saber de ellos. Conocerás cuáles son las bases de la meteorología oceánica, cómo se generan los archivos digitales a partir de los modelos de predicción y cómo los navegantes los reciben a bordo, vía satélite, para integrarlos al software de alta competición. Este curso enfoca la meteorología y climatología oceánicas desde la perspectiva de la navegación a vela. Aprenderás los conocimientos básicos de meteorología que necesitan los navegantes para participar en una regata como la Barcelona World Race, la única una vuelta al mundo sin escalas con dos tripulantes. Conocerás las estrategias que se aplican en una regata alrededor del mundo y cómo se conciben a bordo de los más avanzados veleros oceánicos.
Pearson
System Design Fundamentals
Over the past 20 years, Juval Löwy has led the industry in architecture and project design. Some of his ideas, such as microservices, serve as the foundation of software design and development. In this course, Löwy explains his approach to system analysis and design, using volatility to decompose a system into its comprising services. Löwy contrasts it with the most common mistake done in architecture, using functionality to identify services. This engaging course discusses both what not to do and how to correctly define the architecture of software systems. The objective is to future proof your system and make it drastically easier to develop and maintain.
Coursera
Comment créer et rejoindre des équipes sur Canva
À la fin de ce projet, vous aurez toutes les compétences de base pour créer des équipes et les rejoindre sur Canva, outil en ligne de création et d’édition de visuels Marketing. Grâce à ce projet, vous serez en mesure de créer un meilleur espace de travail collaboratif et de communiquer avec les membres de votre équipe plus facilement. Vous découvrirez les différents aspects de Canva Teams et apprendrez à manier ses fonctionnalités pour une meilleure cohésion d’équipe.
University of Virginia
Managerial Accounting Fundamentals
This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the fundamentals of managerial accounting including how to navigate the financial and related information managers need to help them make decisions. You'll learn about cost behavior and cost allocation systems, how to conduct cost-volume-profit analysis, and how to determine if costs and benefits are relevant to your decisions. By the end of this course, you will be able to: - Describe different types of costs and how they are represented graphically - Conduct cost-volume-profit analyses to answer questions around breaking even and generating profit - Calculate and allocate overhead rates within both traditional and activity-based cost allocation systems - Distinguish costs and benefits that are relevant from those that are irrelevant for a given management decision - Determine a reasonable course of action, given the financial impact, for a given management decision
Coursera
Aprende a utilizar Click Up
En este proyecto aprenderá a utilizar ClickUp. Click Up es una herramienta de gestión de proyectos que le permite mantenerse organizado con su equipo y ser lo más productivo posible. Click Up es una herramienta increíble que te permite tener tantos miembros de equipo como quieras en tu cuenta sin tener que pagar. Podrá administrar proyectos, tareas, subtareas y también podrá chatear con los miembros de su equipo, puede cargar documentos y mucho más. En este proyecto guiado tendrá la oportunidad de explorar Click Up y familiarizarse con sus funciones y herramientas. Si tiene experiencia como líder de equipo, sabe cómo pueden volverse proyectos desorganizados, Click Up le permite organizarse, tener una mejor comunicación y completar sus proyectos de la manera más rápida y productiva posible.
Google Cloud
Responsible AI: Applying AI Principles with GC - 繁體中文
隨著企業持續擴大使用人工智慧和機器學習，以負責任的方式發展相關技術也日益重要。對許多企業來說，談論負責任的 AI 技術可能不難，如何付諸實行才是真正的挑戰。如要瞭解如何在機構中導入負責任的 AI 技術，本課程絕對能助您一臂之力。 您可以從中瞭解 Google Cloud 目前採取的策略、最佳做法和經驗談，協助貴機構奠定良好基礎，實踐負責任的 AI 技術。
EDUCBA
Mudbox: Sculpt, Paint & Export 3D Assets
By the end of this course, learners will be able to sculpt detailed 3D models, paint realistic textures, generate normal and displacement maps, apply advanced bump techniques, and export production-ready assets for games and films. You will gain hands-on expertise in Autodesk Mudbox by mastering the interface, customizing workflows, and practicing viewport navigation to achieve accurate forms. Through guided lessons, you will explore curve loops, subdivision, projection painting, and non-destructive sculpt layers to refine surfaces with precision. What makes this course unique is its complete end-to-end pipeline coverage—from importing external objects and managing paint layers to baking ambient occlusion and enhancing textures in Photoshop. With a strong focus on real-world workflows, you will learn not just how to use Mudbox tools, but when and why to apply them for professional results. Whether your goal is character design, digital sculpting, or asset export for game engines, this course equips you with the skills to create polished 3D models with efficiency and realism.
Duke University
Data Modeling and Prediction with R
Learn how to move from exploring data to modeling it with confidence. In this course, you’ll build and interpret linear and logistic regression models in R to uncover relationships, make predictions, and quantify uncertainty. You’ll begin by learning how to fit and interpret simple and multiple linear regression models, then advance to modeling categorical outcomes with logistic regression. Finally, you’ll explore bootstrapping and hypothesis testing to understand and communicate the uncertainty in your results. By the end of this course, you’ll be able to use statistical modeling to make and explain data-driven decisions – an essential skill for data scientists, analysts, and anyone working with real-world data.
University of Colorado Boulder
Linux Kernel Programming and Introduction to Yocto Project
This course provides an introduction to Kernel Driver development for the Linux operating system. The Yocto build system is introduced, which students use to build their own custom Embedded Linux system through programming assignments. This course builds on the assignments and knowledge obtained in the Linux System Programming and Introduction to Buildroot, which must be completed before starting this course. Linux Kernel Programming and Introduction to Yocto Project can also be taken for academic credit as ECEA 5306, part of CU Boulder’s Master of Science in Electrical Engineering. This course includes specific hardware and software requirements. Please review the FAQ below for complete details.
EDUCBA
Analyze and Build Banking Sector Financial Models
Learners will analyze financial statements, build structured banking sector financial models, evaluate profitability and risk, and estimate intrinsic value using cash flow and valuation techniques. This course equips learners with practical, job-ready skills to model financial performance in the banking sector using a step-by-step, application-focused approach. By completing this course, learners will gain the ability to construct end-to-end financial models that incorporate balance sheet components, income and expense projections, credit reserves, cash flow analysis, and key financial ratios. The course emphasizes how real-world assumptions drive forecasts and how model outputs support informed decision-making for analysts, investors, and finance professionals. What makes this course unique is its banking-specific modeling focus, moving beyond generic financial models to address interest income, non-interest income, capital structure, regulatory considerations, and valuation logic relevant to financial institutions. Learners progress logically from foundational concepts to advanced valuation and intrinsic value estimation, ensuring strong conceptual clarity and applied confidence. This course is ideal for aspiring financial analysts, banking professionals, and learners seeking practical expertise in banking sector financial modeling, valuation, and performance analysis.