The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Cybersecurity with Python: Beginner to Advanced
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'll learn to harness the power of Python to enhance your cybersecurity skills. You will start by mastering the basics of Python programming, from variables and data types to control flow and loops. As you build a solid foundation, you’ll delve into essential topics such as functions, data structures, and object-oriented programming (OOP), all with an eye on real-world cybersecurity applications. You will then apply your learning to build projects that mirror common cybersecurity scenarios. A mini project will have you building a basic user authentication system, followed by a file encryption and decryption tool that simulates real-world encryption tasks. These projects will ensure that you gain hands-on experience as you progress through the course. By the end of the course, you will be able to develop advanced cybersecurity solutions using Python, such as an extensive authentication system and password checker. This course is designed to equip you with both the coding skills and cybersecurity knowledge needed to protect and defend systems. This course is designed for aspiring cybersecurity professionals, Python programmers, and IT enthusiasts eager to explore the intersection of programming and security. A basic understanding of computers is recommended, though no prior coding experience is required.
Coursera
Document and Share Meeting Outcomes with Ease
Document and Share Meeting Outcomes with Ease is an entry-level course designed for professionals, project coordinators, and team members aiming to transform meeting conversations into clear, actionable results. In any collaborative environment, ambiguity after a meeting can lead to stalled projects, dropped tasks, and diffused responsibility. This course equips you with the essential skills to leverage collaborative software, creating a reliable system for documentation and follow-through that builds team-wide accountability. Through practical screencasts, hands-on activities, and real-world scenarios, you will master the use of pre-defined templates to structure notes, apply @-mentions to assign tasks with undeniable clarity, and master sharing features to create a single source of truth for your team. This course is for anyone who wants to ensure that great ideas discussed in a meeting become completed tasks, fostering a culture of alignment and momentum.
Meta
Introduction au Marketing des réseaux sociaux
Ce cours pose les bases du marketing des réseaux sociaux. Vous apprendrez ce que le marketing des réseaux sociaux implique, y compris son histoire et les différents canaux de réseaux sociaux qui existent. Vous apprendrez à sélectionner un canal de réseau social qui répond à vos besoins, à définir des objectifs et des indicateurs de réussite et à déterminer qui est votre public cible. À la fin de ce cours, vous serez capable de : • Comprendre le paysage du marketing traditionnel, numérique et des réseaux sociaux • Comprendre comment devenir certifié comme Digital Marketing Associate • Comprendre les principales plateformes de réseaux sociaux, leur fonctionnement et le rôle qu’elles jouent dans le marketing • Créer des objectifs SMART et identifier les ICP • Définir votre public cible et son parcours client • Choisir les bonnes plateformes de réseaux sociaux et apprendre à créer des politiques en matière de réseaux sociaux Quel que soit le niveau de connaissances avec lequel vous commencez, ce cours vous aidera à bâtir une base solide en marketing des réseaux sociaux et à acquérir les compétences nécessaires qui vous permettront de rendre vos efforts de marketing des réseaux sociaux plus efficaces et plus visibles. Il n’est pas nécessaire d’avoir une expérience en marketing, mais vous devez posséder les compétences de base en matière de navigation sur Internet et être désireux de participer et de communiquer sur les réseaux sociaux. Vous devez avoir un compte Facebook et un compte Instagram.
Skillshare
Portrait Photography - Lighting and Posing Models
Welcome to Portrait Photography - Lighting and Posing Models! Through this course, taught by Fynn Badgley, we will take an in-depth behind the scenes look at both a Commercial Photography Setup and an Editorial Photography Setup. While the content for the lessons is created within a studio environment, the tips and techniques are applicable to any space, such that you can recreate them from the comfort of your own home! You don't have to worry about having access to expensive camera gear, as the lighting setups are able to be recreated whether you are using a DSLR and Studio Lighting, or your phone and a couple of lamps from around the house. By the end of this course, you will have the knowledge of: * How to balance artificial and ambient light to create a natural portrait look * How to use properties of light to create a dramatic editorial image * Working with location, wardrobe, and angle to create a visually compelling picture * Working with your subject to make them comfortable and craft a beautiful photograph * Editing techniques to select, retouch and polish your images While this course is mainly for the more advanced photographer, creatives of any level can benefit from the content within. No matter your genre, these lessons will give you the ability to thoughtfully add mood, dimension, and feeling to your photographs. If you have been intimidated by working with models or using complex lighting setups, this course will demystify those fears and give you the tools to level up your imagery today. So join me, I look forward to seeing how you take these techniques and use them in your photography! Instructor bio: Hello, my name is Fynn Badgley. I am a Toronto-based Commercial Fashion & Portrait photographer, as well as a content creator. My work has a large emphasis on how light is used, as well as creating a feeling from the viewer. People have always been and continue to be a large inspiration in my work, and a driving force behind the images I create and stories I tell. Through working as a photographer in various genres over the years, working on high-budget Hollywood film sets, and creating short and long-form content for various platforms, I am excited to share what I have learned with you so that we can all become a stronger community of creators, together.
Cleveland Clinic
Machine Learning in Healthcare: Foundations and Applications
This concise, high-yield course introduces essential machine learning (ML) techniques through the lens of real-world healthcare challenges. This program is uniquely grounded in real-world clinical insight and cutting-edge innovation. The course is led by Dr. Ghaith Habboub, neurosurgeon at the Cleveland Clinic Spine Center, Director of Intelligent Spine Analytics, Director of Spine Research, and faculty at the Lerner College of Medicine. Dr. Habboub brings unmatched expertise from the operating room to the classroom. What sets this course apart even further is its exclusive interviews with leading experts in AI, quantum computing, and the future of healthcare. You'll gain insider perspectives from industry renowned pioneers shaping the next generation of medical technology. This course is ideal for: • Healthcare professionals (e.g., clinicians, nurses, administrators) looking to understand how AI and machine learning can enhance patient care and operational efficiency. • Data scientists and analysts working in or transitioning to the healthcare industry. • Students and researchers in fields like biomedical engineering, public health, or health informatics who want a practical introduction to ML in clinical contexts. • Healthcare innovators and tech entrepreneurs aiming to build or evaluate AI-driven healthcare solutions. Learners will explore the core principles of ML in healthcare, build foundational knowledge of key algorithms, see highlights of real-world clinical applications of AI, and delve into how machines "think" and learn from complex healthcare data, equipping them with insights into data-driven decision-making in clinical settings. Whether you're a clinician, researcher, or innovator, this course offers a rare opportunity to learn from the front lines of medicine and machine learning.
EDUCBA
Unreal Engine: Design & Implement Landscapes for Games
This hands-on course equips learners with the practical skills needed to design, construct, and enhance immersive natural environments using Unreal Engine’s powerful landscape and foliage systems. Beginning with foundational setup techniques, participants will demonstrate how to configure landscape parameters, apply sculpting tools to shape terrain, and construct multi-layered materials using the Material Editor. As the course progresses, learners will integrate foliage systems to simulate realistic vegetation and develop fully playable, optimized landscape levels. Through guided video tutorials, applied practice quizzes, and a structured module approach, learners will analyze landscape composition strategies and evaluate their use of foliage, materials, and sculpting tools to achieve visually engaging results. By the end of this course, students will have the confidence to create, modify, and refine large-scale environments suitable for games and interactive experiences.
Duke University
Cloud Virtualization, Containers and APIs
Welcome to the second course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will learn to design Cloud-native systems with the fundamental building blocks of Cloud computing. These building blocks include virtual machines and containers. You will also learn how to build effective Microservices using technologies like Flask and Kubernetes. Finally, you will analyze successful patterns in Operations including: Effective alerts, load testing and Kaizen. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you build a containerized Flask application that is continuously deployed to a Cloud platform: Amazon Web Services (AWS), Azure or Google Cloud Platform (GCP).
EDUCBA
Unix Processes and Communications
This course provides an in-depth exploration of networking fundamentals, network protocols, and file management within Unix-based systems. Designed for learners aiming to gain a thorough understanding of how Unix systems communicate over networks, this course covers key topics such as IP addressing, various networking protocols (TCP/IP, HTTP, FTP, DNS), network troubleshooting, and security. Students will learn how to configure network settings, use command-line tools to troubleshoot network issues, and apply knowledge of network layers and protocols. The course will enable learners to define, explain, analyze, and compare networking concepts, while gaining practical skills necessary to navigate and manage Unix-based networks efficiently. The course uses Bloom's Taxonomy to help learners move from foundational knowledge to higher-level thinking, ensuring mastery of both theoretical concepts and practical applications in networking and protocols. Through a mix of theory, demonstrations, and hands-on practice, learners will be equipped to address real-world networking challenges in Unix environments.
Coursera
Sales Analysis with Claude: Data Driven Sales Analytics
Did you know that 73% of organizations plan to increase their AI adoption for business analytics, yet many professionals struggle to effectively leverage AI tools for meaningful business insights? This Guided Project was created to help business analysts, sales managers, and data-driven professionals harness the power of Claude to transform raw sales data into actionable business intelligence. More specifically, in this 1-hour long project-based course, you will learn how to: 1. Analyze sales data using Claude.AI to identify trends, patterns, and anomalies 2. Develop actionable business strategies based on AI-powered insights 3. Create compelling data visualizations and reports that drive decision-making To achieve this, you will create a comprehensive sales analysis portfolio by working through a real-world scenario as a Junior Business Analyst at DataTech Solutions, consulting for major brands. You'll progress from basic sales analysis to creating executive-ready presentations with strategic recommendations. This project is unique because it combines practical AI implementation with real-world business scenarios, teaching you not just how to use Claude, but how to apply it effectively in business contexts. Rather than focusing on technical complexity, we emphasize business value and actionable insights. In order to be successful in this project, first you need a Claude.ai pro plan subscription in addition, you need basic understanding of business metrics (revenue, profit, growth rates), familiarity with spreadsheets and data tables, and basic understanding of sales and marketing concepts.
Coursera
How to increase engagement to Instagram Business profile
In this 1-hour long project-based course, you will learn how to build a business profile on Instagram and increase the engagement of your followers, engage with story strategies, people, target market and buyers. By the end of this project, you will have learned how to develop a strong business profile on Instagram and increase the market engagement.
EDUCBA
Build & Deploy Serverless Apps on AWS: Design and Secure
Learners will analyze images, detect objects and faces, extract text, evaluate unsafe content, and automate workflows using AWS Rekognition and Lambda. This hands-on course equips participants with the essential skills to build intelligent, cloud-native image and video analysis solutions. Throughout this project-driven journey, learners gain practical experience with object and label detection, image moderation, facial landmarks, celebrity recognition, face comparison, and text extraction. They also learn how to design serverless pipelines that integrate Rekognition with AWS Lambda and SNS to trigger automated processing. By completing the course, learners will be able to confidently apply deep-learning powered visual intelligence features within real-world applications—without managing complex infrastructure. What makes this course unique is its end-to-end, scenario-based approach that mirrors real industry use cases. Instead of abstract theory, learners work directly with live AWS services, exploring how Rekognition functions inside production-ready serverless environments. Whether for content moderation, security automation, metadata extraction, or intelligent media workflows, this course provides the practical foundation needed to implement AI-driven solutions at scale.
Google
Dasar-dasar Analitik Data: Data, Data di Mana-mana
Ini adalah materi pertama dalam program Sertifikasi Data Analitik Google. Materi ini akan membekali Anda dengan keterampilan yang Anda butuhkan untuk melamar kerja sebagai analis data tingkat pemula. Semua jenis organisasi membutuhkan analis data untuk memperbaiki proses operasional mereka, mengidentifikasi peluang dan tren, meluncurkan produk baru, dan membuat keputusan yang tepat. Di materi ini, Anda akan diperkenalkan dengan dunia analitik data berdasarkan kurikulum yang langsung dikembangkan oleh Google. Materi yang dibahas mencakup berbagai topik penting dalam analisis data, dan dirancang untuk memberi gambaran umum tentang apa yang akan Anda pelajari dalam program Sertifikasi Analitik Data Google. Analis data Google akan mengajarkan dan memberi tahu Anda cara untuk menyelesaikan tugas analis data yang umum dengan menggunakan alat dan sumber daya terbaik. Peserta didik yang menyelesaikan program sertifikasi ini akan memiliki bekal yang cukup untuk melamar kerja sebagai analis data tingkat pemula. Tidak membutuhkan pengalaman apa pun. Di akhir materi ini, Anda akan - Mendapatkan pemahaman tentang praktik dan proses yang digunakan oleh analis data junior sehari-hari. - Mempelajari tentang keterampilan analitis utama (pembersihan data, analisis data, visualisasi data) dan alat (spreadsheet, SQL, pemrograman R, Tableau) yang dapat ditambahkan di set perangkat profesional Anda. - Menemukan berbagai macam istilah dan konsep yang berhubungan dengan pekerjaan analis data junior, seperti siklus hidup data dan proses analisis data. - Mengevaluasi peran analitik dalam ekosistem data. - Melakukan penilaian mandiri dengan pola pikir analitis. - Menelusuri peluang kerja yang tersedia setelah Anda menyelesaikan program ini, dan mempelajari tentang praktik baik dalam pencarian kerja.
EDUCBA
Deep Learning RNN & LSTM: Stock Price Prediction
By the end of this course, learners will be able to identify the foundations of deep learning, analyze stock price datasets, apply preprocessing and feature scaling techniques, develop an RNN with LSTM layers, and evaluate predictions using real-world financial data. This hands-on course takes learners through the complete journey of building a stock price forecasting model with Python. Starting with environment setup and dataset exploration, participants will learn how to preprocess data, perform exploratory data analysis, and apply transformations that prepare inputs for deep learning models. The course then dives into constructing and training a Recurrent Neural Network, leveraging LSTM layers to capture sequential dependencies in stock prices. Learners will test predictions on unseen data and visualize results to interpret model accuracy. What makes this course unique is its practical project-based approach—instead of abstract theory, every step is tied to real-world stock price data from Apple. Whether you are a data science beginner or looking to specialize in time-series forecasting, this course equips you with skills to confidently apply deep learning models to financial predictions and beyond.
Packt
Apple Support Pro Certification Guide (SUP-2026)
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. The Apple Support Pro Certification Guide (SUP-2026) is designed for IT professionals and support specialists to master Apple device troubleshooting and management. You will learn to use key tools like Apple Configurator, MDM, and iCloud to manage and support Apple devices. The course combines theoretical knowledge with practical experience, covering troubleshooting, device setup, backup, restore, security, and enterprise solutions. You’ll explore how to troubleshoot iOS and macOS devices, manage Apple accounts, and configure iCloud and Continuity features. Additionally, the course covers network issues, privacy settings, and Apple’s diagnostic tools, preparing you to handle common device challenges effectively. This course is perfect for IT professionals and Apple technicians looking to specialize in Apple support, with no prior Apple experience required. By the end, you’ll be equipped to manage Apple devices in enterprise environments, optimize their performance, and ensure security.
Universidad Nacional Autónoma de México
Python: de cero a usuario
Aprenderás el lenguaje Python y las libretas de Jupyter en Windows, Linux y MacOS. Operarás la declaración de variables, estructuras de control y las funciones integradas en Python. Además manipularás la libreta de Jupyter y usará los magic commands. Tendrás acceso a la documentación y conocerás cómo realizar la instalación de paquetes para Python y usarás la libreta de Jupyter para resolver problemas sencillos.
Fundação Instituto de Administração
Operations Management
Participants will learn to optimize operations, enhance productivity, and address real-world challenges through strategic planning and effective implementation. The curriculum combines theoretical knowledge with practical applications to equip learners with the skills needed for successful operations management in various industries.