The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Colorado Boulder
Phases of Matter: Solid, Liquid, Gas and Beyond
Complex systems can exhibit emergent phenomena, wherein the interplay of simple underlying rules governing the constituent parts leads to rich and unexpected behavior of the whole. Condensed matter physics is the branch of physics devoted to understanding such emergence in physical systems. It is the largest subfield of physics, and has developed a wealth of ideas and techniques for taming complexity. The course provides an introduction to this physics of emergence. The course is aimed at a general audience. It assumes familiarity with algebra, and passing familiarity with basic concepts such as atoms and energy, but does not assume knowledge of advanced physics or mathematics. It is the first of a series of three courses introducing the key ideas of modern condensed matter physics. However, it can also be taken as a standalone course.
Google
أسس تصميم تجربة المستخدم (UX)
أسس تجربة المستخدم (UX): التصميم هو أول السلسلة التي تتكون من سبع دورات من شأنها أن توفر لك المهارات اللازمة للتقديم على وظائف المبتدئين في تصميم تجربة المستخدم. يركز مصممو تجربة المستخدم على التفاعلات التي يجريها الأشخاص مع منتجات مثل مواقع الويب وتطبيقات الهاتف المحمول والأشياء المادية. يجعل مصممو تجربة المستخدم هذه التفاعلات اليومية سهلة الاستخدام وممتعة ويمكن الوصول إليها. قد يتضمن دور مصمم تجربة المستخدم المبتدئ التعاطف مع المستخدمين وتحديد الشكاوى الخاصة بهم والتوصل إلى أفكار لحلول التصميم وإنشاء إطارات سلكية ونماذج أولية ونماذج بالأحجام الطبيعية واختبار التصاميم للحصول على التعليقات. سيعمل مصممو تجربة المستخدم والباحثون الحاليون في Google كمدربين لك، وستكمل الأنشطة العملية التي تحاكي سيناريوهات تصميم تجربة المستخدم في العالم الحقيقي. يجب أن يكون المتعلمون الذين يكملون الدورات السبع في برنامج الشهادة مؤهلين للتقدم بطلب للحصول على وظائف مصممي تجربة المستخدم المبتدئين. لا تلزم خبرة سابقة. بنهاية هذه الدورة، ستكون قادرًا على: - معرفة مجال تجربة المستخدم وشرح سبب أهميته للمستهلكين والشركات. - فهم المفاهيم التأسيسية في تصميم تجربة المستخدم، مثل التصميم الذي يركز على المستخدم وعملية التصميم وإمكانية الوصول والتصميم الذي يركز على الأسهم. - تحديد العوامل التي تسهم في تصميم تجربة مستخدم رائعة. - مراجعة المسئوليات الوظيفية المشتركة لمصممي تجربة المستخدم المبتدئين والفرق التي يعملون معها. - استكشاف فرص العمل والمسارات الوظيفية في مجال تجربة المستخدم. - شرح لماذا تُعد سباقات التصميم جزءًا مهمًا ومفيدًا من عمل مصمم تجربة المستخدم. - البدء في إنشاء محفظة عبر الإنترنت يمكنك من خلالها عرض عملك القادم. - الانضمام إلى مجتمعات تجربة المستخدم عبر الإنترنت والمشاركة فيها.
Packt
Data Processing and Exploration with NumPy & Pandas
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. Dive into the world of data manipulation and numerical analysis with NumPy and Pandas, two of the most essential tools in the data science toolkit. Learn how to manipulate, process, and analyze large datasets with ease and efficiency. Whether you're working with numerical data, handling missing values, or exploring data through visualization, this course will equip you with the skills you need to tackle a wide range of data tasks. The course is divided into two major sections—NumPy and Pandas—each offering focused lessons on core concepts. You’ll start by learning the fundamentals of NumPy for numerical computing, including array creation, reshaping, and advanced operations such as broadcasting and universal functions. Then, you will delve into Pandas, exploring Series and DataFrame objects, handling missing data, and mastering powerful functions like groupby, merge, and pivot tables. This course is perfect for anyone looking to enhance their data processing and analysis skills. Whether you're an aspiring data scientist, business analyst, or just someone who works with data regularly, this course will provide you with the tools to work efficiently and effectively. No prior programming experience is required, but basic familiarity with Python will be helpful. The course is suitable for beginners to intermediate learners, with a focus on practical applications and hands-on exercises. By the end of the course, you will be able to work with large datasets, perform complex data manipulations, use NumPy for numerical operations, and confidently analyze data with Pandas. You’ll also gain expertise in data cleaning, reshaping, merging, and creating advanced data visualizations to inform data-driven decisions.
Digital Marketing Institute
Twitter, LinkedIn, and YouTube Marketing
Digital Marketing Institute is the global standard in Digital Marketing Certification. Our mission is to give our students the confidence and knowledge they need to advance in their careers through this specialization. YouTube is second only to Facebook in popularity as a social network in 2021, with almost 2.3 billion active users. Twitter has introduced new fact-checking tools in response to recent controversies and remains a key platform for businesses striving to serve and engage audiences in real-time. LinkedIn is critical for B2B marketing, both for organic and paid social content distribution. If you want to better understand the ever-shifting landscape and challenges marketers face to grow and sustain brands on social, this course will help you do so. You will learn the basic principles of advertising on Twitter, LinkedIn, and YouTube. After completing this course, you will be able to: - • Apply best practices for publishing tweets and using hashtags on Twitter • Manage and optimize the performance of Twitter advertising campaigns • Build a company’s presence on LinkedIn • Measure the performance of LinkedIn advertising campaigns • Recognize the key role of social video and YouTube for online marketing • Create engaging advertising campaigns to run on YouTube This course also introduces the concepts of social selling and personal branding for B2B sales and marketing. It covers the differences between traditional and social selling and why businesses are adopting social selling tactics to engage with buyers. This is the final course in the Digital Marketing Institute’s Social Media Marketing specialization. On completion of all courses in your Specialization, you will also be awarded a Digital Marketing Institute Certified Digital Marketing Associate certification, along with three months of free Power Membership, allowing you to boost your career and unlock your next opportunity. 92% of DMI members have said their courses have had a positive impact on their careers, while 88% are now working at senior or manager level.
IBM
Statistics for Data Science with Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis. You will take a hands-on approach to statistical analysis using Python and Jupyter Notebooks – the tools of choice for Data Scientists and Data Analysts. At the end of the course, you will complete a project to apply various concepts in the course to a Data Science problem involving a real-life inspired scenario and demonstrate an understanding of the foundational statistical thinking and reasoning. The focus is on developing a clear understanding of the different approaches for different data types, developing an intuitive understanding, making appropriate assessments of the proposed methods, using Python to analyze our data, and interpreting the output accurately. This course is suitable for a variety of professionals and students intending to start their journey in data and statistics-driven roles such as Data Scientists, Data Analysts, Business Analysts, Statisticians, and Researchers. It does not require any computer science or statistics background. We strongly recommend taking the Python for Data Science course before starting this course to get familiar with the Python programming language, Jupyter notebooks, and libraries. An optional refresher on Python is also provided. After completing this course, a learner will be able to: ✔Calculate and apply measures of central tendency and measures of dispersion to grouped and ungrouped data. ✔Summarize, present, and visualize data in a way that is clear, concise, and provides a practical insight for non-statisticians needing the results. ✔Identify appropriate hypothesis tests to use for common data sets. ✔Conduct hypothesis tests, correlation tests, and regression analysis. ✔Demonstrate proficiency in statistical analysis using Python and Jupyter Notebooks.
University of Colorado System
Requirements Specifications: Goals and Conflict Analysis
In Requirements Goal Development and Language Analysis, we move from the spoken word to precise writing. A first step in this is writing goals. We will talk about goals used in requirements engineering and, from this, writing use cases from what we learn. Use cases can be in diagram and written form. Then- the villains enter- misuse cases and abuse cases are discussed in how we can deal with them in a Requirements environment. In gathering requirements, you'll have many questions remaining. Often this leads to the need of more interviews and group sessions. We'll go through how to handle group meetings, dealing with inconsistency, and handling conflict between stakeholders.
IBM
Specialized Models: Time Series and Survival Analysis
This course introduces you to additional topics in Machine Learning that complement essential tasks, including forecasting and analyzing censored data. You will learn how to find analyze data with a time component and censored data that needs outcome inference. You will learn a few techniques for Time Series Analysis and Survival Analysis. The hands-on section of this course focuses on using best practices and verifying assumptions derived from Statistical Learning. By the end of this course you should be able to: Identify common modeling challenges with time series data Explain how to decompose Time Series data: trend, seasonality, and residuals Explain how autoregressive, moving average, and ARIMA models work Understand how to select and implement various Time Series models Describe hazard and survival modeling approaches Identify types of problems suitable for survival analysis Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Time Series Analysis and Survival Analysis. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Supervised Machine Learning, Unsupervised Machine Learning, Probability, and Statistics.
University of Illinois Urbana-Champaign
Dairy Economics: Maximizing Profits through Milk Quality
This course provides an in-depth look at mastitis in dairy cows, focusing on the immune response, diagnostic tools, and economic considerations. Learners will explore the cellular and microbial basis of intramammary infections, practical tools for on-farm diagnosis, and the financial impact of mastitis on dairy operations. Through a systems-thinking approach, students will gain the knowledge needed to make informed decisions about mastitis prevention and treatment strategies. This course is part of the College of ACES suite of online programs. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit: https://aces.illinois.edu/online.
ISC2
Information Technologies and Security in Healthcare Settings
This is course one in the ISC2 Healthcare Certificate Specialization. Information security and technology play a critical role in the healthcare industry. With the increasing use of electronic health records (EHRs), telemedicine, and other digital technologies, healthcare providers and organizations must prioritize the security of sensitive patient data. Information security in healthcare involves protecting patient data from unauthorized access, use, disclosure, and destruction. Technology also plays a crucial role in healthcare by enabling more efficient and effective care delivery. However, the use of technology in healthcare also introduces new security risks. Healthcare organizations must ensure that their systems are up-to-date and secure to protect against malicious actors and data breaches. They must also train their staff on proper security practices and be prepared to respond to security incidents. Overall, information security and technology are essential components of healthcare delivery. By implementing effective security measures and utilizing technology in a responsible manner, healthcare organizations can provide high-quality care while protecting patient privacy and data. This course is set up in two parts: Information Security and Information Technologies. This course will cover the following learning objectives: Part 1: Information Security Objectives Define the healthcare environment. Examine third party relationships. Identify essential health data management concepts. Part 2: Information Technologies Objectives Describe the impact of healthcare information technologies on Privacy and Security. Describe data life cycle management. Determine the most secure methods of third-party connectivity.
CertNexus
CyberSec First Responder – Advanced (CFR-A): Attack
This course will be useful to anyone who is an experienced cybersecurity practitioner and would like to take their skills to the next level. You will begin a multi-stage process by performing reconnaissance and simulating an attack using Metasploit. You'll then exploit code-execution, injection, and web-app vulnerabilities. Lastly, you'll exploit access, network, data, and file-configuration vulnerabilities. These all contribute to the first stage of the overall CFR-A program: Attack. This is the first course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machines, which include all of the necessary tools and system configurations for the activity environment. The course setup instructions provided in the first module of this course go into more detail about the hardware and software requirements.
EDUCBA
Octave Machine Learning: Apply, Analyze & Build
Learners will be able to apply Octave functions for data input/output, analyze datasets through interpolation and extrapolation, and construct reusable functions with advanced control structures. They will also implement loops, nested conditions, and date-time functions to manage complex, real-world problems in machine learning and data science. This course takes participants from intermediate to advanced Octave programming by combining theory with practical, hands-on examples. By completing the modules, learners will gain confidence in writing efficient scripts, managing large datasets, and structuring code for scalability. They will also master techniques for handling temporal data—an essential skill in predictive modeling and time-series analysis. What makes this course unique is its step-by-step integration of programming concepts directly with data science applications, ensuring that learners don’t just understand Octave syntax but also know how to apply it effectively in machine learning workflows. Designed with Bloom’s Taxonomy in mind, each lesson builds progressively towards higher-order thinking skills, enabling learners to analyze, evaluate, and build real-world solutions with Octave.
Coursera
Finde Zielgruppen-Interessen mit Facebook Audience Insights
Nach Abschluss dieses Projekts kannst du auf Facebook Audience Insights zugreifen und wichtige Eigenschaften deiner Zielgruppe für deine Facebook Werbekampagnen filtern. Du wirst lernen die Interessen deiner Zielgruppe gezielt mit Hilfe von Facebook Audience Insights zu analysieren und dein Wissen bei der Erstellung einer Werbekampagne anzuwenden. Das Ziel von Social Media Marketing besteht darin kreative Wege zu finden um seine Zielgruppe in den sozialen Medien anzusprechen und für deine Produkte oder Dienstleistungen zu begeistern. Dies geschieht oftmals auf Basis eines geringen Marketing Budgets. Heute wirst du zunächst eine Facebook Business Seite und anschließend einen Facebook Business Manager Account erstellen. Wir werden gemeinsam auf Facebook Insights zuzugreifen und dieses Marketing Analytics Tool dazu verwenden, um die Gewohnheiten deiner Zielgruppe auf Facebook besser zu verstehen.
Universidad de los Andes
Estimación de la línea base de tiempos y costos
Bienvenido al curso Estimación de la línea base de tiempos y costos. Este es el tercer curso que forma parte del programa especializado en Gerencia de proyectos complejos de ingeniería, ofertado por la Universidad de los Andes, disponible en la plataforma de Coursera. Soy Andrés Felipe Gómez y te estaré acompañando las siguientes 8 semanas en donde me voy a centrar en el último gran paso dentro del proceso de planeación: establecer las líneas base del tiempo y de los costos. Este es un paso muy importante en todo proyecto, pues acá determinamos cuánto tiempo nos vamos a demorar y cuánto es el presupuesto del proyecto para tener una base de comparación en la ejecución y en el seguimiento y control. Este curso busca brindarte las bases para que comprendas la importancia de la planeación en los proyectos, así como proveerte herramientas y enseñarte habilidades para que desarrolles una línea base sólida contra la cual contrastar el avance del proyecto durante su ejecución. Así mismo, en este curso nos vamos a centrar mucho en una las habilidades más importantes que debe tener todo buen gerente de proyecto: el saber cómo estimar. Dicho lo anterior, este curso busca que entiendas la importancia de la estimación de tiempos, recursos, costos, esfuerzo, entre otras variables que son de gran importancia para el éxito de un proyecto complejo. Todo lo anterior lo hacemos con el fin de poder desarrollar una línea base adecuada, pensada alrededor del alcance y los entregables, de las actividades, su duración y su costo; para poder desarrollar una correcta planeación del proyecto, lo que nos facilitará el proceso de seguimiento y control en etapas posteriores del ciclo de vida del proyecto. Este curso está pensado para personas de diferentes disciplinas que quieren adentrarse en el mundo de la gerencia de proyectos, pero que saben que por las condiciones actuales que rodean los proyectos se hace necesario adquirir bases en la dimensión de la complejidad para la gestión de estos. Este curso está pensado para personas con por lo menos un título de pregrado con conocimientos intermedios en matemáticas. El aspirante a tomar este curso puede provenir de cualquier campo del conocimiento, desde el gobierno, la industria, la consultoría y la academia. Una vez el estudiante ha adquirido el conocimiento que provee el curso este estará en capacidad de entender la importancia de la planeación en los proyectos para la creación de una línea base sólida, así como la importancia de la estimación de los tiempos y costos, y su influencia en la probabilidad de éxito de los proyectos complejos. Igualmente, el estudiante podrá conocer y aplicar los diferentes tipos de estimación dependiendo de la fase en que se encuentre un proyecto complejo, esto con el objetivo de determinar la línea base de tiempo y costos para hacer la ejecución, seguimiento y control adecuado de proyectos complejos. Este curso lo pensamos para ti, con la calidad que la Universidad de los Andes les ofrece a sus alumnos. Adicionalmente, este curso ofrece 36 PDUs para aquellas personas certificadas como PMP, PMI-RMP o PMI-SP de acuerdo con el Triángulo del Talento del PMI®. Los PDUs están distribuidos de la siguiente manera: Formas de trabajo – 18 PDUs Habilidades de poder – 6 PDUs Visión para los negocios – 12 PDUs
University of Michigan
Introduction to Structured Query Language (SQL)
In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.
EDUCBA
Seaborn Python: Design & Customize Advanced Visualizations
This hands-on course teaches learners how to prepare, analyze, and visually interpret data using Python’s Seaborn library, with a focus on census datasets. Beginning with foundational setup—such as installing Anaconda, configuring Jupyter Notebook, and loading libraries—the course progresses into exploratory data analysis and practical visualization techniques. Learners will gain proficiency in generating a range of plots including scatter plots, line graphs, swarm plots, violin plots, heatmaps, and advanced visual grids. Emphasis is placed on enhancing plot readability through axis formatting, label alignment, and plot configuration to support data storytelling. Throughout the course, learners will apply Bloom’s Taxonomy skills such as identifying trends (Understand), configuring tools (Apply), modifying visuals (Analyze), and interpreting relationships (Evaluate). Ideal for data enthusiasts and analysts, this course equips learners to effectively visualize multivariate data, uncover insights, and support data-driven decision-making.
University of Illinois Urbana-Champaign
Constructivism and Mathematics, Science, and Technology Education
This course is designed to help participants examine the implications of constructivism for learning and teaching in science, mathematics, and technology focused areas. Course readings, discussions, and assignments will examine constructivist views of learning, research on students' ideas and idea-based interactions, research on instructional approaches taking student ideas into account, and challenges in implementing constructivist perspectives in instruction.