The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Presenting Data Using Charts with Canva
By the end of this project, you will be able to use Canva to create a presentation that uses charts to present data. In this project we will create a three-page sales presentation that incorporates a bar graph, line graph, and pie chart to display similar data in different ways. You will learn how to create a simple, yet effective, and aesthetically pleasing sales presentation that can be used in many different areas of business. Once your presentation is complete, you will be able to use Canva design elements to add style to your presentation, and you will have the skills to share, save, and present your pages to others.
Coursera
Crear un panel de inspiración para su marca con Canva
Al final de este proyecto, tendrá todas las habilidades básicas para crear un panel de inspiración para su marca utilizando Canva, una herramienta en línea para crear y editar imágenes de marketing. Podrá definir su identidad de marca y lograr diseñar sus proyectos exitosos y creativos utilizando las diversas herramientas de diseño, colores y gráficos que ofrece Canva.
Corporate Finance Institute
Python Fundamentals
Python is the most popular programming language used for data science and is a must-know to start or advance your career in data. In this course, you will learn the most fundamental skills to write and execute Python code. We will have an overview of the basic Python concepts, which will enable you to get started with a data science project! You will see how to load, clean, analyze, and transform data with two popular Python packages: Numpy and Pandas. Then, we will demonstrate how to effectively communicate the key insights from your analysis by visualizing your data using the Matplotlib and Seaborn packages. Finally, you’ll combine these skills and put your new knowledge into practice by analyzing financial data through a case study. Upon completing this course, you will be able to: • Write and execute Python code to create variables, generate outputs, apply various operators, and manipulate different types of data • Capture and transform data using Numpy and Pandas packages • Explore data through different statistical methods to gain a deeper understanding • Visualize data to share insights using the Matplotlib and Seaborn packages • Combine and apply the skills above to analyze financial data This Python Fundamentals course is perfect for anyone who would like to build up their programming skills and use Python for data science to analyze data. This course is designed to equip anyone who desires to begin or further their career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.
LearnQuest
Enhancing Mac Security: Strategies for Protection
Fortifying Your Digital Fortress: Mac Security Strategies for Ultimate Protection. Discover essential Mac security in this comprehensive course tailored for beginners. Learn to safeguard your Mac workstation effectively as you delve into fundamental security features, threat assessment, and proactive management. Gain insights into automating security processes and adopting top-notch practices, ensuring robust protection for your Mac. Enroll now to master the art of securing your Mac with confidence.
Google
Fondamentaux de la cybersécurité
Voici le premier cours de la Certification en cybersécurité de Google. Ces cours vous permettront d'acquérir les compétences dont vous avez besoin pour postuler à un emploi de niveau débutant dans le domaine de la cybersécurité. Dans ce cours, vous serez initié au monde de la cybersécurité grâce à un programme interactif élaboré par Google. Les événements majeurs qui ont conduit à l'expansion du domaine de la cybersécurité, le rôle essentiel que revêt la cybersécurité dans la gestion d'une entreprise aujourd'hui et les responsabilités professionnelles qui incombent à un analyste cybersécurité débutant, ainsi que les compétences requises, seront mis en avant. Les employés de Google qui travaillent actuellement dans le domaine de la cybersécurité vous guideront à travers des vidéos, des activités pratiques et des exemples qui simulent des tâches courantes de cybersécurité, et vous aideront à développer vos compétences pour vous préparer à l'emploi. Les participants qui termineront cette certification seront aptes à postuler à des emplois de niveau débutant dans le domaine de la cybersécurité. Aucune expérience préalable n'est nécessaire.
Northeastern University
Foundations for Data Analytics Part 1
This course offers students an opportunity to learn fundamentals of computation required to understand and analyze real world data. The course helps students to work with modern data structures, apply data cleaning and data wrangling operations. The course covers conceptual and practical applications of probability and distribution, cluster analysis, text analysis and time series analysis. This course is Part 1 of 2.
Pearson
Full-Stack React with Spring Boot: Unit 1
This course offers a deep dive into creating robust applications using Spring Boot, guiding you through the essentials of building both console and web applications. You'll start by mastering the Spring CLI and IntelliJ IDE, learning to configure applications and integrate REST services effectively. As you progress, you'll explore the intricacies of components and beans, understanding how to leverage autowiring and the Spring Expression Language to enhance your applications. Finally, you'll delve into configuration classes, discovering how to manage application contexts and utilize bean methods for seamless integration. By the end of this course, you'll have a solid foundation in full-stack development, equipped with the skills to build and manage sophisticated applications.
Google Cloud
Distributed Load Testing Using Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.
Yale University
Financial Markets
An overview of the ideas, methods, and institutions that permit human society to manage risks and foster enterprise. Emphasis on financially-savvy leadership skills. Description of practices today and analysis of prospects for the future. Introduction to risk management and behavioral finance principles to understand the real-world functioning of securities, insurance, and banking industries. The ultimate goal of this course is using such industries effectively and towards a better society.
University of London
The Manager's Toolkit: A Practical Guide to Managing People at Work
The aim of this course is to give you a practical guide to managing people at work. It does not matter whether you are a first time manager in a shop or a middle manager in an office environment; the same skills apply to every work place. In the course you will engage with some HR theories and then see how they translate into every day working life. At the end of the course we hope you will be better equipped to choose a suitable employee, to motivate and appraise your team, to manage conflict in the work place and to lead and make decision on a day to day basis.
LearnQuest
Python Scripting: Dates, Classes and Collections
This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.
EDUCBA
Master Time Series Forecasting with R: Analyze & Predict
By the end of this course, learners will be able to define the fundamentals of forecasting, classify forecasting methods, apply regression and decomposition techniques, and implement advanced models like ARIMA and SARIMA to accurately predict time-dependent data. This comprehensive course equips participants with the tools to tackle real-world forecasting challenges using R. Beginning with the foundations of business analytics forecasting, learners will explore methods, steps, and common pitfalls before moving into practical applications of simple forecasting models. The course then advances into regression-based forecasting, covering simple, multiple, and non-linear regression, while also integrating predictors and lagged variables for more reliable time series analysis. Finally, learners will gain hands-on expertise with exponential smoothing, ARIMA, and Seasonal ARIMA modeling, supported by ACF and PACF diagnostics. What makes this course unique is its step-by-step progression from basics to advanced forecasting, its practical use of R for implementation, and its focus on both interpretability and accuracy. By completing this program, learners will be prepared to design robust forecasting solutions that improve decision-making in business, finance, operations, and beyond.
IBM
Encryption and Cryptography Essentials
Over 10,600 confirmed breaches were reported globally in 2024, exposing millions of records, including sensitive healthcare and financial data. Organizations need cybersecurity professionals who can protect them against this costly risk. This Encryption and Cryptography Essentials course gives aspiring cybersecurity professionals job-ready skills in encryption, hashing, and digital signatures—key competencies employers are looking for. You’ll master symmetric (AES) and asymmetric (RSA) encryption techniques and apply hashing methods like MD5 and SHA to ensure data integrity. You’ll learn how to manage and verify certificates using the Online Certificate Status Protocol (OCSP). Plus, you’ll explore blockchain technology and its applications. This course is a comprehensive guide to mastering encryption and cryptography in cybersecurity. Through hands-on labs, interactive quizzes, and projects, you’ll learn how to secure digital information, tackle cybersecurity challenges, and implement encryption and cryptographic solutions. If you’re looking to add job-ready encryption and cryptography skills employers need to your resume, enroll today!
Packt
Handling Security Incidents Across Domains
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. This comprehensive course equips participants with the knowledge and skills needed to effectively handle security incidents across various domains. Designed for incident handlers and responders (IH&R teams), it offers a structured approach to mastering digital evidence, malware handling, email security, and network security. The journey begins with an in-depth exploration of digital evidence collection and forensics. You'll learn about the principles of first response, volatile and static evidence collection, and the nuances of anti-forensics. Practical guidance from experts ensures you're prepared to manage the complexities of incident handling. As you progress, you'll delve into malware incident handling, covering preparation, detection, containment, eradication, and recovery. Email security incidents are addressed in a focused section that highlights preparation and first-response strategies. Finally, the course provides robust coverage of network security incidents, including unauthorized access, inappropriate usage, denial-of-service, and wireless network challenges. This course is perfect for security professionals, IT administrators, and aspiring incident responders looking to enhance their skills in cyber defense. While foundational knowledge of IT and cybersecurity is recommended, the course's intermediate difficulty ensures accessibility to learners with a basic understanding of security concepts.
Coursera
Back-End Infrastructure: Servers, Secure APIs and Data
This course explores back-end infrastructure management, secure API design, and robust data protection techniques. Participants will gain practical skills in server configuration, API security, and strategies for protecting data, which are crucial for building resilient and scalable systems. The course combines theoretical foundations, hands-on applications, and real-world examples to ensure comprehensive understanding and skill acquisition. This course empowers professionals like Data Protection Officers, Back-End Developers, API Designers, System Administrators, and Information Security Professionals with essential knowledge and skills in data protection and API security. With prerequisites including basic data protection principles, back-end infrastructure familiarity, API design expertise, and information security experience, participants are well-equipped for effective engagement. Throughout the course, participants will accomplish various objectives, including evaluating data protection's role in securing back-end infrastructure and APIs and analyzing successful case studies. Using HOTS verbs like "evaluate" and "analyze," learners will enhance their critical thinking in data security. They'll also refine practical skills for secure server configuration, ensuring robust API integrations to safeguard sensitive information. Upon completing this course, professionals will be well-prepared to evaluate and implement security measures that enhance the integrity and confidentiality of data. With a focus on real-world case studies and practical application, participants will emerge equipped to navigate complex data protection challenges and implement secure API strategies confidently. This learning journey promises to empower individuals to bolster their organizations' security posture and mitigate potential risks effectively.
Johns Hopkins University
Training and Learning Programs for Volunteer Community Health Workers
Volunteer community health workers (CHWs) are a major strategy for increasing access to and coverage of basic health interventions. Our village health worker training course reviews the process of training and continuing education of CHWs as an important component of involving communities in their own health service delivery. Participants will be guided through the steps of planning training and continuing education activities for village volunteers. The course draws on real-life examples from community-directed onchocerciasis control, village health worker programs, community case management efforts, peer educators programs and patent medicine vendor training programs, to name a few.