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Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Gain the skills and credentials to kickstart a successful career in the technology industry and learn from the

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Duration 2 Days 12 CPD hours This course is intended for The COBIT 2019 Foundation course would suit candidates working in the following IT professions or areas: IT Auditors IT Managers IT Quality professionals IT Leadership IT Developers Process practitioners Managers in IT service providing firms The above list is a suggestion only; individuals may wish to attend based on their own career aspirations, personal goals or objectives. Delegates may take as few or as many Intermediate qualifications as they require, and to suit their needs. Overview This COBIT 2019 Foundation course is designed as an introduction to COBIT 2019 and enables you to understand how an integrated business framework for the governance and management of enterprise IT can be utilized to achieve IT business integration, cost reductions and increased productivity. The syllabus areas that this course is designed to cover are: New framework introduction Key concepts and terminology Governance and Framework Principles Governance system and components Governance and management objectives Performance management Designing a tailored governance system COBIT 2019 builds on and integrates more than 25 years of development in this field, not only incorporating new insights from science, but also operationalizing these insights as practice. The heart of the COBIT framework updates COBIT principles while laying out the structure of the overall framework including: New concepts are introduced and terminology is explained?the COBIT Core Model and its 40 governance and management objectives provide the platform for establishing your governance program. The performance management system is updated and allows the flexibility to use maturity measurements as well as capability measurements. Introductions to design factors and focus areas offer additional practical guidance on flexible adoption of COBIT 2019, whether for specific projects or full implementation. From its foundation in the IT audit community, COBIT has developed into a broader and more comprehensive information and technology (I&T) governance and management framework and continues to establish itself as a generally accepted framework for I&T governance. 1 - COBIT 5 OVERVIEW AND INTRODUCTION Course Administration Course Objectives Exam Overview Certification Scheme History of COBIT COBIT 2019 Improvements Major differences with 2019 Misconceptions about COBIT COBIT and Other Standards 2 - KEY CONCEPTS AND TERMINOLOGY Introduction to Enterprise Governance of Information and Technology Benefits of Information and Technology Governance COBIT Information and Technology Governance Framework Distinction of Governance and Management Three Principles of a Governance Framework Six Principles for a Governance System 3 - GOVERNANCE SYSTEMS AND COMPONENTS Introduction to the Components of a Governance System Processes and Capability Levels Organizational Structures and Defined Roles Information Flows and Items People, Skills and Competencies Principles, Policies and Frameworks Culture, Ethics and Behavior Services, Infrastructure and Applications 4 - GOVERNANCE MANAGEMENT OBJECTIVES Governance and Management Objectives Publication Governance and Management Objectives Governance and Management Objectives Core Model Evaluate, Direct and Monitor Align, Plan and Organize Build, Acquire and Implement Deliver, Service and Support Monitor, Evaluate and Assess 5 - GOALS CASCADE Governance and Management Objective Relationships Governance and Management Objective Descriptions High-Level Information Example Introduction to the Goals Cascade Enterprise Goals Alignment Goals Mapping Tables ? Appendix A 6 - PERFORMANCE MANAGEMENT Introduction to Performance Management COBIT Performance Management Principles COBIT Performance Management (CPM) Overview Process Capability Levels Rating Process Activities Focus Area Maturity Levels Performance Management of Organizational Structures Performance Management of Information Items Performance Management of Culture and Behavior 7 - DESIGNING A TAILORED GOVERNANCE SYSTEM The Need for Tailoring Design Factors Enterprise Strategy Enterprise Goals Risk Profile I&T Related Issues Threat Landscape Compliance Requirements Role of IT Sourcing Model for IT IT Implementation Methods Technology Adoption Strategy Enterprise Size Focus Areas Designing a Tailored Governance System Management Objective Priority and Target Capability Levels Component Variations Specific Focus Areas Stages and Steps in the Design Process 8 - IMPLEMENTING ENTERPRISE GOVERNANCE OF IT The Business Case The COBIT Implementation Guide Purpose COBIT Implementation Approach Phase 1 ? What are the Drivers Phase 2 ? Where are we Now Phase 3 ? Where do we Want to be Phase 4 ? What Needs to be Done Phase 5 ? How do we get There Phase 6 ? Did we get There Phase 7 How do we Weep the Momentum Going? EGIT Implementation Program Challenges

Sharpen your HTML, CSS, and JavaScript by working on a large variety of projects. In this course, we'll be working through a project a day using vanilla JavaScript. Over the next 50 days, you'll have 50 small, unique, DOM-oriented projects under your belt.

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Web Development Intermediate Level is one of our best selling and most popular course. The Web Development Intermediate Level is organised into 3 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 34 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post. Who is this course for? Web Development Intermediate Level is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject. Course Content Basic Coding for Web Development HTML Basics 00:30:00 CSS Basics 01:00:00 Web Design & Development: HTML5, CSS3 and JavaScript 02:00:00 Web Development Basics What Are Niche Website? 01:00:00 The Role Of Visualization In Education 00:15:00 Identify Your Best Platform Or Software 01:00:00 Select A Web Host 01:00:00 Collect Your Site 00:15:00 Building A Content Rich Website 00:15:00 Build Backlinks 00:30:00 Use SEO, Multimedia And Social Sites 01:30:00 Use Analytics 01:00:00 Wrapping Up 00:15:00 Web Designing The Best Website Design for Your Business 01:00:00 What's in a Domain Suffixes 00:31:00 Website Design Terminology 01:00:00 CSS Explanation 01:00:00 Website Designs & Power Stations 01:00:00 How Can I Build my Website for Free 01:00:00 Six Steps to Website Design for Beginners 01:00:00 Dreamweaver or CoffeeCup for Website Design 01:00:00 Using Dreamweaver to Create your Site Layout 00:30:00 Three Crucial Steps to Creating Your Website 01:00:00 Dos and Don'ts of Website Creation9 01:00:00 SEO Basics for Effective Website Design 01:30:00 Ideas for Your Internet Business Website Design 01:00:00 Immediately Applicable Design Tips for a User-Friendly Website 01:00:00 6 Best Reasons to Create a Website 01:00:00 Common Mistakes in Website Design 01:00:00 Too Much or Too Little 00:30:00 Why Successful Website Development is Committed to Design 01:00:00 Ideas for Your Personal Website Design 01:00:00 How to Create a Social Networking Website to Enhance your Business 01:00:00 Tips for Designing an Affiliate Website 01:00:00 How to Use WordPress for your Website 01:30:00 Top 14 Reasons to Create a Blog 00:30:00 Tips for Designing a Successful Blog 00:30:00 More Tips Ahead 00:30:00 Recommended Reading Recommended Reading : Web Development Intermediate Level 00:00:00 Mock Exam Mock Exam- Web Development Intermediate Level 00:30:00 Final Exam Final Exam- Web Development Intermediate Level 00:30:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

  The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles.  Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you.  The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course   What will you learn?   Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal.   This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice.   MODULE 1: Fundamentals of Information Privacy   Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles.   Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors.   Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM).   Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices.    MODULE 2: Privacy in Technology   Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments.   Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams.   Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle.   Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them.   Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data.   Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection.   Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included?   1 years membership of the IAPP  Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend?   The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

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