The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
PowerShell for Penetration Testing
This course equips cybersecurity professionals with essential PowerShell scripting skills for penetration testing across various platforms. By focusing on practical, real-world applications, you’ll learn to automate tasks, identify vulnerabilities, and conduct assessments. You’ll be able to automate security operations and build custom scripts for different environments, significantly enhancing your pentesting efficiency. The course blends foundational scripting techniques with advanced exploitation methods to ensure learners gain valuable hands-on experience in cybersecurity. Ideal for aspiring and intermediate penetration testers, this course also benefits those looking to enhance their PowerShell proficiency in penetration testing scenarios.
Rice University
Principles of Computing (Part 2)
This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games. In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.
University of London
How to Finance and Grow Your Startup – Without VC
Who? If you’re an entrepreneur at any stage of your journey, or even an aspiring one, and you need money to start or grow your business, this course is for you. What? This course will introduce, and help you put to use in your startup, the five models through which your customers can – and will, if you ask them! – fund your business. These five time-tested models have been put to use by entrepreneurial superstars like Michael Dell, Bill Gates, Richard Branson and more. Sadly, though, the five models are rarely talked about and not widely understood. Until now! The five models will be brought to life by the real-world stories of an inspiring collection of incredibly creative entrepreneurs from around the world – including successes and failures – through a series of captivating no-holds-barred interviews with founders and others, and investors, too. Why? More than two generations ago, the venture capital community – VC’s, business angels, incubators, and others – convinced the entrepreneurial world that writing business plans and raising venture capital constituted the twin centerpieces of entrepreneurial endeavor. They did so for very good reasons: the sometimes astonishing returns they’ve delivered to their investors and the incredibly large and valuable companies their ecosystem has created. But the vast majority of fast growing companies never take any angel or venture funding. Are they onto something that most of today’s entrepreneurial ecosystem has missed? Indeed, should a business angel or VC be seen as the first port of call for getting your nascent entrepreneurial venture off the ground or growing it faster? Perhaps not. How? You’ll be asked to do a series of exercises – out in the real world – to put your growing toolkit to use in your business or the one you hope to start. Hands-on, practical tools to help your business start and thrive – without venture capital. You’ll join our discussion board of fellow participants, if you like, and learn from others who are putting the tools to work, just as you are. And to suit today’s fast-paced lifestyles, we’ve broken what you’ll get – short lessons, interviews, thought-provoking questions, even some optional things to read – into bite-sized chunks, so you can log in and grab them whenever and wherever you are. And what else? If, after checking out and perhaps completing this course, you find your company in a position where seeking venture capital turns out to be the right thing to do next, John Mullins leads an inspiring and hands-on executive education course at London Business School – this one face-to-face – called Financing the Entrepreneurial Business. There, among a room full of investors and entrepreneurs, you’ll study a series of captivating real-world cases and learn everything an entrepreneur – or an investor, for that matter – needs to know to handle the person who sits across the deal table and take an entrepreneurial business from start-up to exit. See https://www.london.edu/education-and-development/executive-education/topic/finance/financing-the-entrepreneurial-business#.WIVY_FyTQ-0 for info.
Tel Aviv University
The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World
The Holocaust was an inconceivable historical event, which forever robbed Western culture of its innocence. As civilized human beings, we fail to understand how events of such horror could have taken place, and how an idea so inhumanly warped could have spread like wildfire through an entire continent, instigating the systematic annihilation of millions of Jews. This online course was produced jointly by Tel Aviv University and Yad Vashem – the World Holocaust Remembrance Center. The course tracks the history of the Holocaust and has two parts. "The Holocaust - An Introduction (I): Nazi Germany: Ideology, The Jews and the World" is the first of the two courses and covers the following themes in its three weeks: Week 1: From Hatred to Core Ideology We will try to delve into Nazi ideology and the special place of Jews and Judaism in it. We will also discuss how the National Socialist Party converted the German Democracy of the Weimar Republic into a totalitarian regime within a short period of time, and its meaning for Jews and non-Jewish citizens. Week 2: The World and the Jews in World War II We will try to examine the broader contexts of the Holocaust and to place it, as part of World War 2. In this meeting we will also refer to the vital Jewish world to be found under various Nazi occupations and influences. Week 3: The Isolation Abyss - the Perspective of the Individual We will try to reveal different aspects of Jewish life in the face of the badge of shame, ghettos and segregation, as well as the formation of individual, societies’ and leader’s reactions in the face of a consistent policy of dispossession and discrimination. Once you’ve completed this course, you can continue your learning with The Holocaust - An Introduction (II): The Final Solution (https://www.coursera.org/learn/holocaust-introduction-2/home/welcome) This online course is offered in an innovative, multi-level format, comprising: * Comprehensive lectures by leading researchers from Tel Aviv University and Yad Vashem. * A wealth of voices and viewpoints presented by guest lecturers. * Numerous documents, photos, testimonies and works of art from the time of the Holocaust. * Novel learning experience: Crowd sourcing – involving the learners themselves in the act of collecting and shaping information, via unique, exciting online assignments. REQUIREMENTS: This course is designed for anyone with an interest in the Holocaust, including students, teachers, academics and policy-makers.
University of Michigan
Understanding and Visualizing Data with Python
In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling. At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.
Macquarie University
Business intelligence and data analytics: Generate insights
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation. You will be introduced to key data analytics concepts such as systems thinking, multi-level perspectives and multidisciplinary methods for envisioning futures, and apply them to specific real-world challenges you and your organisation may face. And there’ll be a focus on future-proofing skills such as teamwork, collaboration with diverse stakeholders and accounting for judgements made within ethical decision-making frameworks.
Coursera
Match Personas: Craft Engaging AI Content
Creating content that connects starts with understanding your audience. In this short, hands-on course, you’ll learn to match buyer-persona pain points with the right content formats and generate blog ideas that fill real gaps in your editorial plan. Through practical examples and guided activities, you’ll practice linking personas to blogs, videos, FAQs, and podcasts—then craft targeted blog titles with clear, strategic rationales. Designed for beginner marketers and creators, Match Personas: Craft Engaging AI Content builds your confidence in proposing audience-driven ideas that feel relevant, inclusive, and ready to share with your team.
Corporate Finance Institute
Data Prep for Machine Learning in Python
Machine learning models rely on good data to produce meaningful insights. For that reason, data prep is one of the most critical skills for machine learning. In this course, you’ll learn how to import and clean data before populating missing values using imputation. You’ll learn how to visualize histograms, scatter charts, and box plots to identify trends of interest before using the analysis to select the most important features. Feature engineering techniques such as one hot encoding, binning and scaling will help us transform the structure of our data to produce higher quality machine learning insights. This data prep course in Python includes more interactive exercises and challenges than previous BIDA courses have. You will also have the opportunity to test your skills on a comprehensive guided Python case study before completing the final exam. Upon completing this course, you will be able to: • Import and clean your data in Python • Apply imputation to estimate missing values in the dataset • Conduct exploratory data analysis (EDA) to find initial patterns to guide our analysis • Select features to focus on the most important variables • Apply feature engineering to make datasets machine learning-friendly • Select appropriate feature engineering techniques based on the model type Whether you are a business leader or an aspiring analyst exploring data science, this Data Prep for Machine Learning in Python 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, begin implementing analysis, and understand how data science can help your business.
Knowledge Accelerators
Microsoft Planner - Essential Training for Managing Projects
Master Microsoft Planner and revolutionize how you manage projects and teams. This hands-on course empowers learners to rapidly begin to take control of their productivity using Microsoft Planner —part of the Microsoft 365 suite— through practical, bite-sized lessons and real-world applications. Microsoft Planner is used by over 1 million organizations globally to streamline task management and team collaboration. - With hybrid work on the rise, mastering Planner is a must-have skill for professionals managing distributed teams and complex workflows. Project management skills are among the top 5 most in-demand competencies across industries and learning Microsoft Planner can help you: - Improve team coordination and task visibility - Save up to 30% of time spent on manual tracking - Enhance your resume with a recognized Microsoft 365 skill What You’ll Learn - Build and manage plans with buckets and tasks - Track progress using Planner’s visual views - Integrate Planner with Outlook, Teams, and To Do What Makes This Course Unique ✅ Fast-track learning: Complete in under 3 hours with lots of opportunity for practice ✅ Real-world practice: Includes quizzes and assignments for each module ✅ Seamless integration: Learn how Planner connects with other Microsoft 365 tools ✅ Beginner-friendly: No prior project management experience required ✅ Portfolio-ready: Final assessment to showcase your skills Who Should Take This Course -Project coordinators and team leads -Business professionals managing multiple priorities -Students and job seekers wanting to boost productivity -Anyone using Microsoft 365 for work or study Ready to take control of your projects and boost your productivity? Enroll now and become a confident Microsoft Planner user in just a few hours.
Universitat Politècnica de València
IT Fundamentals for Business Profiles: Enterprise Systems
This course marks the beginning of an introductory series on business information systems, created to open the door to the exciting field of Information Technology. Throughout the course, you’ll explore the fundamental concepts of information systems and their real-world uses. From working with word processors and understanding desktop operating systems to discovering how web browsers and internet technologies function, you’ll develop a solid grasp of how information systems shape today’s digital world. As the first course in a five-part series, completing it will help you get ready for the CLEP Information Systems and Computer Applications exam.
Amazon Web Services
Amazon DevOps Guru Getting Started
In this course, you will learn the benefits and technical concepts of Amazon DevOps Guru. If you are new to the service, you will learn how to start using DevOps Guru through a demonstration using the AWS Management Console. In this course, you will learn to do the following: - Describe how DevOps Guru works. - Familiarize yourself with the technical concepts of DevOps Guru. - List typical use cases for DevOps Guru. - Specify what it would take to implement DevOps Guru in a real-world scenario. - Recognize the benefits of DevOps Guru. - Explain the cost structure of DevOps Guru. - Explore how to use DevOps Guru in the AWS Management Console and using the AWS Command Line Interface (AWS CLI).
Coursera
Wie können Sie mit Pinterest Shopping starten
In diesem geführten Projekt werden sie werden das Grundkonzept des Pinterest-Shopping kennenlernen und die wichtigkeit es zu nutzen, einkaufbare produkt-pins einrichten lernen und Ads (werbungen) verwenden, und wie man Pinterest-Shopping richtig nutzen kann lernen. Am Ende dieses Projekts haben sie gelernt wie sie mit Pinterest Shopping starten sollen und was sie damit brauchen um erfolgreiche pins zu posten.
Corporate Finance Institute
Introduction to Banking
This Introductory course covers the fundamental knowledge about the banking industry. We will discuss the various types of financial institutions and how they differ in the types or products and services provided to their own customer groups. We can look at a bank’s balance sheet and income statement and understand how a bank generates return. Finally, we will explore the common career paths in different areas of banking. Upon completing this course, you will be able to: • Understand the different types/structures of financial services firms • Determine the different types of banking services that are provided • Understand who the customers are for each type of service • Learn how a bank makes money • Differentiate the various banking career paths This Introduction to Banking course is perfect for any aspiring credit analysts working in insurance, underwriting, rating agencies, commercial lending, corporate credit analysis, and other areas of credit evaluation. It is also a great introductory course for anyone who would like to learn more about the banking industry.
Packt
AutoCAD 2023 Masterclass - Produce Amazing Site Plans
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. Dive into the world of AutoCAD 2023 with our expertly crafted masterclass, where you'll learn to create stunning site plans with unparalleled speed and precision. Beginning with a thorough introduction to AutoCAD 2D, you'll explore the essential tools, commands, and settings that form the backbone of this powerful CAD software. Whether you're setting up your workspace or customizing commands, each step is designed to enhance your drafting experience, ensuring you can navigate the software with confidence. As you progress, the course transitions into more advanced techniques, including drafting detailed floor plans, walls, doors, windows, and even intricate staircases. You'll discover how to efficiently manage layers and blocks, ensuring your designs are well-organized and easily editable. With a strong focus on practical application, you'll gain hands-on experience by creating real-world architectural elements, from the foundational ground floor to complex interior layouts. Finally, the masterclass delves into the art of annotation and presentation, teaching you how to insert text, dimensions, and hatching with professional flair. By the end of the course, you'll have the expertise to export your drawings in various formats, ready for presentation or further development. Whether you're a seasoned professional or a student, this course will sharpen your skills and speed up your workflow, making you a more efficient and effective designer. This course is designed for architects, engineers, CAD technicians, and students who have a basic understanding of AutoCAD but wish to advance their skills in site planning and architectural drafting. Prior experience with AutoCAD is beneficial, but the course is structured to accommodate beginners who are willing to learn.
Universidad Nacional Autónoma de México
La solución del conflicto ético
En este curso, ofrecido por la UNAM, los participantes lograrán identificar y tomar decisiones sobre casos clínicos con conflictos éticos en el área de la salud por medio de la aplicación del razonamiento ético desde una perspectiva universal y considerando los aspectos médicos y éticos, el marco jurídico y la decisión ética. La ética en lo general es un elemento esencial para el avance del ser humano porque resulta de la capacidad de cuestionar, reflexionar y razonar sobre todo lo que es y todo lo que cambia en la vida. Existe evidencia de que la percepción y los juicios, que sobre la moral hace un individuo, definen su comportamiento. Estas capacidades que se desarrollan en forma paulatina, permiten atender y resolver los conflictos éticos. Para facilitar tus logros tendrás disponibles videos y evaluaciones.
Packt
Natural Language Processing - Deep Learning Models in Python
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. In this course, you will learn how to apply deep learning models to Natural Language Processing (NLP) tasks using Python. By the end of the course, you will be able to understand and implement cutting-edge deep learning models, including Feedforward Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks, tailored for NLP applications. You will also get hands-on experience with text classification, embeddings, and advanced models such as CBOW, GRU, and LSTM in TensorFlow. The course begins by providing a strong foundation, where you will understand the basic concepts of neural networks and their role in NLP. You will then move on to implement text classification using TensorFlow, exploring both the mathematical foundations of neurons and the practical implementation aspects. As the course progresses, you will dive deeper into more advanced models such as convolutional and recurrent neural networks. You will explore the theoretical background and code implementations for each of these models, ensuring that you gain both knowledge and practical skills. The second half of the course focuses on advanced topics like embeddings, CBOW, and recurrent neural networks (RNNs). You will explore how RNNs are used for sequential data processing, implementing tasks such as Named Entity Recognition (NER) and Parts-of-Speech (POS) tagging. Additionally, you'll tackle practical exercises that challenge you to apply your knowledge of convolutional and recurrent neural networks to real-world NLP tasks, further enhancing your skill set. This course is designed for individuals looking to deepen their understanding of NLP using deep learning models. It is suitable for anyone interested in the intersection of Python programming, deep learning, and natural language processing. While a basic understanding of Python is recommended, no prior experience in deep learning is required. The course will progress at a steady pace, offering both theoretical insights and hands-on coding practice.