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  Operational Risk and Resilience for Banking

  Master operational risk, capital frameworks, and resilience in modern banking. Prepare for FRM Part 2 with real-world risk management applications. This course provides a comprehensive understanding of operational risk management, enterprise risk frameworks (ERM), and financial resilience in the banking sector. You will explore key concepts such as risk appetite frameworks, capital adequacy, stress testing, and regulatory requirements under Basel standards. Designed for aspiring risk professionals and FRM candidates, the course bridges theory with practical application. You will learn how to evaluate risk exposure, apply quantitative risk measures like VaR and RAROC, and understand model risk management and validation. The course also emphasizes operational resilience, cyber risk, and financial system stability—critical areas in today’s regulatory environment. By the end, learners will be equipped to analyze, manage, and mitigate risks effectively in real-world financial institutions.

  Langue d’origine

  Voir les détails: Operational Risk and Resilience for Banking
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  Débutant

  Plots Creation using Matplotlib Python

  By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis. people who want to learn python and Pandas library. It provides you with the important steps to be a data analyst. Moreover, it equips you with the knowledge of python's native data structures

  Langue d’origine

  60 min

  Voir les détails: Plots Creation using Matplotlib Python
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  Intermédiaire

  Business Operations Support in Google Sheets

  By the end of this project, you will create a Google Sheet that receives customer requests, tracks employee workload, and provides a small business with an overview of current project status and historical data for completed projects. You will learn how to create a custom form and use the data from the form to track requests, assign work to employees, and create a snapshot of current and past projects. Throughout the project you will leverage formulas to automate the Google Sheet in order to effectively and efficiently manage day to day operations. 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.

  Langue d’origine

  120 min

  Voir les détails: Business Operations Support in Google Sheets
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  Forensic Accounting and Fraud Examination

  Everyday across the world, thousands of businesses are victimized by fraud. Who commits these bad acts? Why? And, how? In this course we are going to help you answer the questions: who commits fraud, why and how. We’ll also help you develop skills for catching them.

  Langue d’origine

  1200 min

  Voir les détails: Forensic Accounting and Fraud Examination
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  ZBrush DynaMesh: Apply, Design & Customize Brushes

  By the end of this course, learners will be able to apply DynaMesh for dynamic sculpting, design realistic Fibermesh hair and fibers, utilize advanced masking and curve techniques, manage files and GoZ integration, and customize brushes for professional sculpting workflows. This course takes a hands-on approach to mastering ZBrush, starting with foundational tools such as DynaMesh, LightCap, and BPR rendering, then advancing into masking, displacement mapping, and curve-driven mesh insertions. Learners will gain practical skills in saving, exporting, and integrating projects across platforms, while also exploring brush customization, mesh normalization, and Move Elasticity for complex workflows. Unlike traditional tutorials, this course focuses on practical, project-ready techniques. Each module is structured to gradually build confidence, from sculpting basics to advanced mesh editing. By the end, learners will have the technical skills and creative flexibility to produce high-quality digital sculpts with precision and artistry.

  Langue d’origine

  Voir les détails: ZBrush DynaMesh: Apply, Design & Customize Brushes
• Technologie

  Débutant

  UX Design: An Introduction

  This course introduces a core design discipline of User Experience (UX) Design aiming to create digital products and services that are useful, usable, engaging, and desirable. It introduces the fundamentals of UX Design, Human-Computer Interaction (HCI), and the user-centered design process. To enhance your understanding, you’ll explore examples of good and bad UX design. Additionally, you’ll gain insights into various UX job roles, their responsibilities, and the career progression of a UX Designer.  Learning Outcomes -Master UX Fundamentals: Learn core principles of UX Design, HCI, and the user-centered design process. -Evaluate UX Quality: Identify good and bad design through real-world examples. -Explore UX Careers: Understand UX roles, responsibilities, and career growth.

  Langue d’origine

  1800 min

  Voir les détails: UX Design: An Introduction
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  Débutant

  PMP Application Process and Practice Exam

  In this course, you will learn about the content areas, domains, and structure of the PMP exam, providing you with a solid foundation for exam preparation. Through various learning activities, such as reviewing the PMP Exam Content Outline and discussing the domains, knowledge areas, and question formats typically found in the exam, you'll gain insight into the exam's structure and expectations. Additionally, you'll learn and apply good practice exam techniques to increase your chances of passing the PMP Exam successfully. This comprehensive approach will equip you with the knowledge, skills, and strategies needed to pass the exam and achieve PMP certification. After completing this course, you’ll be able to: • Identify the content areas, domains, and structure of the PMP exam. • Review the PMP Exam Content Outline, discussing the domains, knowledge areas, and question formats typically found in the exam. • Apply good practice exam techniques to pass the PMP Exam. This is a great way to prepare for the industry-recognized PMI® Authorized PMP® Exam, a global standard in project management.

  Langue d’origine

  960 min

  Voir les détails: PMP Application Process and Practice Exam
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  Memory, Encryption, and Protecting Data in iOS

  This course on iOS Security is designed for intermediate to advanced learners who have a background in iOS development or security. Participants will delve into the intricacies of managing iOS memory effectively, gaining a solid understanding of Swift pointers and techniques to prevent overflows. The course will also cover the implementation and verification of encryption techniques in iOS applications, including the use of keychain and data persistence strategies. Additionally, learners will identify common data risks in iOS applications and explore strategies to mitigate these risks, with a focus on file protection and network security.

  Langue d’origine

  Voir les détails: Memory, Encryption, and Protecting Data in iOS
• Technologie

  Intermédiaire

  Hadoop and Spark Fundamentals: Unit 2

  This course introduces the fundamentals of modern data processing for data engineers, analysts, and IT professionals. You will learn the basics of Hadoop MapReduce, including how it works, how to compile and run Java MapReduce programs, and how to debug and extend them using other languages. The course includes practical exercises such as word counts across multiple files, log file analysis, and large-scale text processing with datasets like Wikipedia. You will also cover advanced MapReduce features and use tools like Yarn and the Job Browser. The course then covers higher-level tools such as Apache Pig and Hive QL for managing data workflows and running SQL-like queries. Finally, you will work with Apache Spark and PySpark to gain experience with modern data analytics platforms. By the end of the course, you will have practical skills to work with big data in various environments.

  Langue d’origine

  Voir les détails: Hadoop and Spark Fundamentals: Unit 2
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  Fundamentals of Marketing Strategy

  The ‘Fundamentals of Marketing Strategy’ course is very interactive and designed to offer learners the opportunity to share ideas and engage in discussions with their fellow students. Throughout this course, learners will be given the opportunity to explore key and relevant marketing models and concepts in the formulation of effective marketing strategy. Learners will also engage in research as well as the application of key models and concepts to gain further insights into the implementation of an effective marketing strategy in a competitive business environment. At the end of this course, learners will gain a deeper understanding of the nature of a rather dynamic marketing environment, and will have developed new skills to enable them to conduct audits of the macro and micro-marketing environments for an organisation and most importantly be able to design and implement an effective marketing strategy.

  Langue d’origine

  Voir les détails: Fundamentals of Marketing Strategy
• Technologie

  Débutant

  Cybersecurity and the X-Factor

  What is the X-Factor? In Cybersecurity, the X-Factor related to unknown and unpredictable human behavior within and outside of your organization. “No one really knows why humans do what they do”, (David K. Reynolds), and because of this organizations can be unprepared for malicious, untrained, or even best intentioned behavior that can cause alarm and sometimes irreparable harm. This course will introduce you to the types of training available to reduce the impact of the X-Factor, evaluate its effectiveness, explore the Security Education, Training and Awareness (SETA) program, and learn why it may fail. The course will conclude with information designed to assist you with some critical components for your business security program. Activities focused on hactivism, cyberinsurance, and ransomware will round out your knowledge base. Your team of instructors has prepared a series of readings, discussions, guest lectures, and quizzes to engage you in this exciting topic.

  Langue d’origine

  840 min

  Voir les détails: Cybersecurity and the X-Factor
• Technologie

  Intermédiaire

  Fine Tune BERT for Text Classification with TensorFlow

  This is a guided project on fine-tuning a Bidirectional Transformers for Language Understanding (BERT) model for text classification with TensorFlow. In this 2.5 hour long project, you will learn to preprocess and tokenize data for BERT classification, build TensorFlow input pipelines for text data with the tf.data API, and train and evaluate a fine-tuned BERT model for text classification with TensorFlow 2 and TensorFlow Hub. Prerequisites: In order to successfully complete this project, you should be competent in the Python programming language, be familiar with deep learning for Natural Language Processing (NLP), and have trained models with TensorFlow or and its Keras API. 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.

  Langue d’origine

  150 min

  Voir les détails: Fine Tune BERT for Text Classification with TensorFlow