Gobierno corporativo: antecedentes
En este curso conocerás las definiciones de gobierno corporativo que describes el sistema formal de rendición de cuentas de la alta administración a los accionistas.
Langue d’origine
12 053 cours
En este curso conocerás las definiciones de gobierno corporativo que describes el sistema formal de rendición de cuentas de la alta administración a los accionistas.
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This project will help you create a business case presentation template in PowerPoint. This template will help learners share information necessary to your business case, make a compelling impression on investors, and present that information to maximize funding potential.
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This course explores how artificial intelligence is reshaping the way we write, read, and engage with language. Focusing on generative text models, creative writing, and critical perspectives, you’ll learn how language models are trained, how artists and writers are using them in practice, and what social, ethical, and cultural questions they raise. By the end of the course you will be able to: Explore how AI can generate and manipulate language using tools like RNNs, LSTMs, and large language models such as GPT. Understand how machine learning systems represent meaning, similarity, and structure in text through vector spaces and model training. Evaluate the social and ethical implications of language models, including disinformation, bias, surveillance, and the future of authorship. Experiment with code-based and web-based tools for generating text, and reflect on how AI might expand or challenge your own writing practices. Through creative walkthroughs, coding demos, and critical discussions, you’ll learn how language models function, reflect on how they relate to broader histories of text production, and examine the cultural impact of machine-generated language in media, publishing, and online discourse. Featuring insights from leading researchers, technologists, and experimental writers, this course provides both the conceptual grounding and practical tools to begin working with AI in your own creative text-based projects. No coding experience is required, just curiosity and a desire to explore new forms of writing and expression.
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This course is best suited for individuals who are looking to expand their understanding of generative AI and best practices for the responsible, ethical incorporation of generative AI tools in the flow of work. This course explores the ethical and technical dimensions of developing and deploying AI models with a focused lens on generative AI. It examines the ethical and societal considerations of emerging technologies and unique challenges posed by generative AI. This course details the mechanics of genAI, and technical strategies to reduce bias. It explores the RAI principles, strategy, and governance surrounding generative AI. By the end of this course you will have a developed understanding of the nuances of the ethical and technical intricacies shaping the development and deployment of AI models, with a particular focus on generative AI.
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Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: - A basic understanding of linear algebra and multivariate calculus. - A basic understanding of statistics and regression models. - At least a little familiarity with proof based mathematics. - Basic knowledge of the R programming language. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling. This will greatly augment applied data scientists' general understanding of regression models.
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تمتلك جميع الشركات حول العالم مجموعة من الأصول (Assets) منها الأصول الثابتة (Fixed Assets) مثل: المباني والسيارات والأراضي والآلات التي تمتلكها الشركات ليس بغرض البيع بل بغرض الاستخدام في التشغيل والإنتاج، والأصول المتداولة (Current Assets) مثل: المخزون (Inventory) الذي تمتلكه بغرض البيع. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بإتقان محاسبة الممتلكات والمنشآت والمعدات، أو كان مجال عملك يتطلب فهم هذا المجال وتوظيفه في سياق العمل، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: الفرق بين مفهومي القيمة العادلة والتكلفة التاريخية، كيفية إجراء المعالجة المحاسبية لعملية بيع الأصول، مصطلح إطفاء الأصول، المعالجة المحاسبية لإهلاك الأصول، كيفية التعامل مع النفقات اللاحقة لشراء الأصل.
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This is the second course in the Java as a Second Language Specialization. In this course, we'll take a look at Java data types, discuss what primitive data types are, and explain data classes. We'll also explore characters and strings and you'll add a new class in the lab. Next, we'll take a look at Java Control Structures. We'll explain IF statements, Loops, and arrays, and will discuss Switch Statements and the Java Programming Environment. After that, we'll define inheritance and explore how methods and properties are inherited in Java. We'll also discuss polymorphism and overloading functions before completing a lab and quiz. The final module discusses how all of the things we've learned in the previous lessons together will come together for our final lab. The labs in this course require you to download and install the Java environment. The instructor walks you through the installation of the environment in course 1 of this Specialization. It is recommended that you take these courses in order because the knowledge is cumulative.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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Jira is one of the most powerful and widely used tools for project tracking and collaboration. In this beginner-friendly course, start with basic Jira terms and concepts and learn to navigate the interface. Then, discover how to effectively organize work. No matter your role or experience with Jira, this course will, this course will give you the foundation to use Jira with confidence. Start here on Coursera with beginner topics. Next, continue with intermediate lessons on Atlassian Learning, where you can then validate your knowledge with official credentials. Benefits of this course - In-depth lessons that are practical and easy to follow - Step-by-step guidance designed for beginners - Gain confidence with Jira throughout your career - A foundation for more advanced training through Atlassian Learning
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Optimizing Your Google Cloud Platform (GCP) Costs は、GCP の請求管理とコスト管理の基礎を学ぶ 2 部構成の 2 番目のコースです。 このコースは、財務または IT(あるいはその両方)の担当者で、組織のクラウド インフラストラクチャの最適化を担う方に最適です。 ここでは GCP コストを管理して最適化する方法として、予算とアラートの設定、割り当て上限の管理、確約利用割引の活用などについて学びます。 ハンズオンラボでは、さまざまなツールを使用して、GCP コストを管理して最適化したり、コスト最適化のベスト プラクティスを採用するようテクノロジー チームに働きかけたりする実習を行います。
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In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Private banking services present many unique opportunities for a financial institution and its clientele. This Private Banking course examines what the role of a private banker entails, how their services differ from a more traditional retail banking environment, and the importance of analyzing the risk and return of a client’s investments. We discuss integrating client investment strategies with risk tolerance and financial goals to tailor personalized solutions for clientele and their families. We cover all the most important qualitative and quantitative factors that will influence private banking clients, including important risk and return calculations and the various investment strategies available. We also cover the personal financial planning process, sources of risk, and the implementation of those plans and strategies. We use an interactive video case study to help illustrate the key takeaways and to demonstrate real-world examples of clients in a private banking setting.
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