2007 Analytics courses

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Overview It is estimated that between 2-5% of global GDP, or $800 billion to $2 trillion, is laundered annually. The Fraud Management & Anti Money Laundering Awareness Complete Diploma delves deep into this intricate world, elucidating key legislation, responsibilities, and risk management strategies essential for the modern professional.Commencing with a comprehensive exploration in "Introduction to Money Laundering", the course navigates the intricacies of the "Proceeds of Crime Act 2002". Grasp the historical and ongoing evolutions in "Development of Anti-Money Laundering Regulation", understand the pivotal role of the "Money Laundering Reporting Office", and discern the essentials of a "Risk-based Approach". As the curriculum advances, learners will acquaint themselves with "Customer Due Diligence" nuances, the imperatives of "Record Keeping", indicators of "Suspicious Conduct and Transactions", and conclude with the all-important "Awareness and Training" module.Enrol today and elevate your potential in the dynamic realm of Fraud Management & Anti Money Laundering! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Fraud Management & Anti Money Laundering Awareness Complete Diploma. It is available to all students, of all academic backgrounds. Requirements Our Fraud Management & Anti Money Laundering Awareness Complete Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 9 lectures • 02:57:00 total length •Module 01: Introduction to Money Laundering: 00:15:00 •Module 02: Proceeds of Crime Act 2002: 00:18:00 •Module 03: Development of Anti-Money Laundering Regulation: 00:24:00 •Module 04: Responsibility of the Money Laundering Reporting Office: 00:19:00 •Module 05: Risk-based Approach: 00:22:00 •Module 06: Customer Due Diligence: 00:22:00 •Module 07: Record Keeping: 00:19:00 •Module 08: Suspicious Conduct and Transactions: 00:20:00 •Module 09: Awareness and Training: 00:18:00

About Course Unlock key insights with our comprehensive guide to market research - propel your business towards unprecedented growth Our immersive online course on Market Research provides a comprehensive exploration into the intricate art and science of understanding consumer behaviour, trends, and market dynamics. Do you want to grow your business and take it to new heights? Achieving sustainable growth requires a deep understanding of your target audience and a keen awareness of industry trends. This marketing course equips you with the knowledge and skills required to understand your target customers and their needs. We start with a brief history and definition of 'market research' before we lay out the six steps of the market research process. This course examines the classifications of market research and explains how to identify research problems to set up the market research process. We show you how to develop and design a market research approach. We also trace the relationship between market problems and research design by distinguishing between exploratory, descriptive and causal research. The course goes over data analysis techniques and discusses how to deliver effective presentations of research findings to facilitate analysis and discussion. We cover qualitative and quantitative market research methods and provide examples to help you with questionnaire design with examples of open- and closed-end questions. We demonstrate data analysis techniques to help you leverage your research findings to make better business decisions. Finally, the course explains how to communicate research results while adhering to market research ethics. This course has no prerequisites and suits anyone interested in business and marketing. It is particularly useful for small business owners, entrepreneurs and marketers and helps you to create focused marketing campaigns that connect with your audience to boost customer engagement, brand loyalty and business success. Sign up to learn how to conduct market research that lets you understand consumer behaviour, spot gaps in the market and grow your business. Whether you're a budding marketer, a business owner, or a student of the commerce field, this course offers a comprehensive and practical guide to mastering market research. Enroll now to gain the knowledge and skills that can help shape business strategies, influence product development, and drive business success. What Will You Learn? Discuss the importance of market research in supporting marketing decision-making Identify the factors that influence the decision to conduct market research Outline the key components of a market research proposal Discuss the significance of problem identification in marketing research Analyse the key characteristics and advantages of qualitative research Recognise the factors that affect the sample size and accuracy in quantitative research Identify the key components and goals of a questionnaire Explain the importance of data validation and quality control Summarise the significance of the report and presentation as key components of marketing research Discuss the ethical principles of research methodology and the importance of integrity in market research Course Content Introduction to Market Research Introduction to Market Research The Market Research Process The Market Research Process Market Research Design Market Research Design Defining the Problem & Developing Research Approach Defining the Problem & Developing Research Approach Qualitative Market Research Qualitative Market Research Quantitative Market Research Quantitative Market Research Questionnaire Design Questionnaire Design Data Analysis Data Analysis Communicating Research Results Communicating Research Results Research Ethics Research Ethics Conclusion Conclusion A course by Xpert Learning Audience Marketers Current and aspiring product managers Business executives Consultants Entrepreneurs

Overview This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds. Requirements Our Clinical Data Analysis with SAS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 5 sections • 30 lectures • 01:54:00 total length •Course Promo: 00:01:00 •1.1 Components of the Pharma Industry: 00:05:00 •1.2 Phases of Clinical Trials: 00:06:00 •1.3 Data and Reports in Clinical Trials: 00:04:00 •1.4 Types of Data: 00:05:00 •2.1 Clinical Study Protocol: 00:02:00 •2.2 Ethical Consent: 00:01:00 •2.3 Inclusion-Exclusion Criteria: 00:01:00 •2.4 Statistical Analysis Plan: SAP, Mockshell and CRF: 00:04:00 •3.1 General SAS Programming Steps: 00:02:00 •3.2 One Search Report: Demographics Table: 00:04:00 •3.3 Understanding the Demographics Table: 00:03:00 •3.4 Programming the Demographics Table: 00:05:00 •3.5 Importing Raw Demographic Data into the SAS: 00:04:00 •3.6 Deciding what Procedure to Use: 00:02:00 •3.7 Deriving the AGE variable: 00:10:00 •3.8 Obtaining Summary Statistics for AGE: 00:04:00 •3.9 Adding the 3rd Treatment Group using Explicit Output: 00:05:00 •3.10 Deriving the SEX variable: 00:03:00 •3.11 Obtaining Summary Statistics for SEX: 00:03:00 •3.12 Concatenating the COUNT and PERCENT Variables: 00:03:00 •3.13 Deriving the RACE Variable: 00:03:00 •3.14 Obtaining Summary Statistics for RACE: 00:03:00 •3.15 Stacking All the 3 Summary Statistics Together: 00:06:00 •3.16 Fixing the Precision Points: 00:04:00 •3.17 Transposing Data: 00:03:00 •3.18 Fixing the Order of Statistical Parameters: 00:05:00 •3.19 Building the Final Report: 00:02:00 •3.20 Putting the Final Touches to the Report: 00:11:00 •Resources - Clinical Data Analysis with SAS: 00:00:00

GDPR Data Protection Law [Updated 2023] Stay ahead in compliance with our updated 2023 GDPR Data Protection Law course. Equip yourself with the latest in GDPR Data Protection standards. Secure your organisation's future with comprehensive GDPR Data Protection knowledge. Learning Outcomes: Navigate the Introduction to GDPR for compliance. Uphold the Principles of GDPR in data management. Ensure Lawful Basis for Processing personal data. Defend the Rights of Data Subject under GDPR. Differentiate roles of Data Controller and Processor. More Benefits: LIFETIME access Device Compatibility Free Workplace Management Toolkit Key Modules from GDPR Data Protection Law [Updated 2023]: Introduction to GDPR: Familiarise yourself with the GDPR's scope and its impact on GDPR Data Protection practices. Principles of GDPR: Grasp the key GDPR principles that underpin effective GDPR Data Protection strategies. Lawful Basis for Processing: Understand the legal grounds for processing personal data within GDPR Data Protection frameworks. Rights of Data Subject: Recognise the rights individuals hold over their data, a cornerstone of GDPR Data Protection. Data Controller and Data Processor: Define and distinguish between the responsibilities of data controllers and processors under GDPR Data Protection laws. Data Protection by Design and by Default: Implement GDPR Data Protection requirements throughout your data processing activities. Security of Data: Master the security measures required to protect data in line with GDPR Data Protection guidelines. Data Breaches: Learn how to effectively manage and report data breaches in accordance with GDPR Data Protection procedures. Workplace and GDPR: Apply GDPR Data Protection policies within your organisational processes and workplace culture. Transferring Data Outside of EEA: Navigate the complexities of transferring data internationally under GDPR Data Protection rules. Exemptions: Identify the exemptions within GDPR Data Protection law and how they may apply to certain data processing scenarios.

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Duration 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Architect Business Process Owner / Team Lead / Power User Solution Architect Overview This course will prepare you to: Present the MDM solution strategy of SAP Explain the data domains and processes related to MDG Perform basic configuration of standard MDG content Adjust and extend the standard MDG content Create custom content for MDG This course gives you the technical and business knowledge you need to use SAP Master Data Governance to ensure ongoing master data quality. The advanced user will also gain understanding and skills related to configuration, as well as the knowledge required to extend and modify the solution, including the ability to create a custom-solution based on the Custom master data domain. Introduction to SAP Master Data GovernanceS/4HANA Master Data OverviewMDG for Domain MaterialMDG for Domain Business Partner, Supplier, CustomerMDG for Domain Finance & Hierarchy ManagementMDG Multiple Object Processing & Mass ChangesMDG Consolidation and Mass ProcessingMDG Process AnalyticsMDG Master Data Quality ApplicationMDG Data Quality EnhancementsMDG Process ModelingMDG Exchange & MDG Data TransferMDG Custom Objects & EnhancementsMDG Customizing, Setup & Project Strategies Additional course details: Nexus Humans MDG100 SAP Master Data Governance on SAP S/4HANA training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the MDG100 SAP Master Data Governance on SAP S/4HANA course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

>>24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now!<< Fraudulent activities have become more sophisticated over the years. This has resulted in increasing demands for fraud management and AML expertise. If you wish to excel in this field, then enrol without any delay in our Fraud Management and AML online course without delay. The course covers key concepts of fraud management and AML, providing students with a comprehensive understanding of the risks and methods used to prevent and detect fraudulent activities and money laundering. The course is delivered through a combination of interactive online learning materials and assessments, which allows students to progress at their own pace. The fraud management and AML course covers topics such as AML regulations, fraud detection techniques, and money laundering typologies and provides an in-depth understanding of the processes and procedures used to identify, prevent and report fraud and money laundering. The course will also cover the legal and compliance aspects of fraud management and AML. Additionally, the course will provide students with the knowledge and skills necessary to identify and mitigate fraud and money-laundering risks in their organisations and help them to comply with regulations. Upon completion of the course, students will have a better understanding of the importance of effective fraud management and AML practices in the financial sector. Enrol yourself and be efficient in Understanding the key concepts of fraud management and anti-money laundering (AML). Learning the regulations and laws related to fraud management and AML. Realising the different types of fraud and money-laundering schemes and how to detect them. Learning the techniques for identifying and preventing fraud and money-laundering activities. Understanding the process of reporting and mitigating fraud and money-laundering risks. Why Prefer This Fraud Management and AML Course? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. Free assessments 24/7 tutor support. *** Course Curriculum *** Here is the curriculum breakdown of the Fraud Management and AML course: Module 01: Introduction to Money Laundering Module 02: Proceeds of Crime Act 2002 Module 03: Development of Anti-Money Laundering Regulation Module 04: Responsibility of the Money Laundering Reporting Office Module 05: Risk-based Approach Module 06: Customer Due Diligence Module 07: Record Keeping Module 08: Suspicious Conduct and Transactions Module 09: Awareness and Training Assessment Process Once you have completed all the modules in the Fraud Management and AML course, you can assess your skills and knowledge with an optional assignment. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Fraud Management and AML course is well-suited for Compliance officers and managers who wish to improve their knowledge in fraud management and AML Financial service professionals looking to expand their knowledge in fraud management and AML Auditors, investigators, and risk management personnel who are involved in identifying and mitigating fraud and money laundering risk Individuals looking to enter the field of compliance and fraud management in the financial services industry Management level and executive staff that wish to increase their awareness of fraud and money laundering issues, and their role in the mitigation of the risks. Requirements You will not need any prior background or expertise to enrol in this Fraud Management and AML course. Career path This Fraud Management and AML course prepares students for the following careers - Compliance Officer: £35,000 to £55,000 per year. Fraud Analyst: £30,000 to £45,000 per year. Audit Manager: £45,000 to £60,000 per year. Risk Management Specialist: £40,000 to £60,000 per year. Financial Crime Investigator: £35,000 to £50,000 per year. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

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Learn the power of coding with this Master JavaScript with Data Visualization course. With JavaScript being the focus, this program offers comprehensive insights into the heart of web development. The course begins with the basics, setting up your local development environment, and quickly moves on to exploring JavaScript fundamentals like strings, operators, and control flow statements, preparing you for a deep dive into the world of coding.   Unlock your potential as we guide you through JavaScript's crucial aspects, including functions, error handling, and client-side validations. Each module is designed by industry experts, ensuring your understanding aligns with real-world scenarios. The course offers practical examples, and quizzes, fostering a rich learning environment that stimulates engagement and helps to master the topics.   But what sets this course apart is its emphasis on Data Visualization using Google Chart. The integration of JavaScript with Data Visualization introduces you to new and innovative methods to present data in a more interactive and user-friendly format. By the end of the course, you should be proficient in JavaScript and able to design and implement complex data visualisations. Sign up today for a learning journey combining tech knowledge with creative visualisation skills! Learning Outcomes: After completing the JavaScript with Data Visualization course, you should be able to:   Develop a comprehensive understanding of JavaScript fundamentals. Acquire the ability to write and manipulate JavaScript strings and operators. Gain mastery over JavaScript control flow and conditional statements. Learn to implement robust JavaScript functions for diverse applications. Understand JavaScript error handling and client-side validations. Learn to visualise data using Google Chart tools effectively. Gain the ability to create interactive, data-driven web applications. Who is this course for: This JavaScript with Data Visualization course is ideal for:   Aspiring web developers seeking to learn JavaScript. Data analysts interested in expanding their skillset. Web designers aiming to enhance their interactivity skills. Software engineers looking to broaden their coding repertoire. Any tech enthusiast wanting to harness the power of Data Visualization. Certification After studying the course materials of the JavaScript with Data Visualization course, there will be a written assignment test which you can take either during or at the end of the course. After passing the test, you will have a range of certification options. A CPD Accredited PDF Certificate costs £4.99, while a CPD Accredited Hardcopy Certificate is £8.00. Also, a PDF Transcript costs £4.99, and a Hardcopy Transcript is £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. Requirements This professionally designed JavaScript with Data Visualization course does not require you to have any prior qualifications or experience. It is open to everyone, and you can access the course from anywhere at any time. Just enrol and start learning! Career Path: Upon completion of this JavaScript with Data Visualization course, you can gain the knowledge and skills required to pursue many career paths, such as:   JavaScript Developer: £35,000 - £55,000 Per year. Front-end Developer: £40,000 - £60,000 Per year. Full-Stack Developer: £45,000 - £70,000 Per year. Data Visualization Engineer: £45,000 - £65,000 Per year. Web Application Developer: £40,000 - £60,000 Per year. Software Engineer: £50,000 - £80,000 Per year. Course Curriculum Introduction Getting Started Introduction to Getting Started 00:02:00 Course Curriculum 00:05:00 How to Get Pre-Requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask a Great Questions 00:02:00 FAQ's 00:01:00 Setting up Local Development Environment What is JavaScript 00:09:00 Choosing Code Editor 00:03:00 Installing Code Editor (Sublime Text) 00:04:00 Installing Code Editor(Visual Studio Code) 00:07:00 Hello World Program 00:14:00 Getting Output 00:11:00 Summary 00:02:00 JavaScript Fundamentals Introduction 00:02:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Boolean 00:04:00 Arrays() 00:12:00 Objects 00:06:00 Comments 00:05:00 Summary 00:01:00 JavaScript Strings Introduction 00:02:00 Strings 00:06:00 String Formatting 00:05:00 String Methods 00:12:00 Summary 00:02:00 JavaScript Operators Introduction 00:02:00 Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Summary 00:02:00 JavaScript Conditional Statements Introduction 00:02:00 If-else-if statement 00:04:00 If-else statement 00:05:00 If-else-if statement 00:04:00 Switch-case statement 00:09:00 Summary 00:01:00 JavaScript Control Flow Statements Introduction 00:02:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Break 00:02:00 Continue 00:03:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 JavaScript Functions Introduction 00:02:00 Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Function Bind() 00:06:00 Summary 00:01:00 Data Visualization (Google Chart) Introduction 00:01:00 How to Use Google chart script 00:04:00 Line Graph chart 00:14:00 Scatter plots chart 00:02:00 Bar chart 00:04:00 3D Pie chart 00:02:00 3D Pie chart 00:02:00 Summary 00:01:00 JavaScript Error Handling Introduction 00:01:00 Try-catch 00:05:00 Try-catch-finally 00:17:00 Summary 00:01:00 JavaScript Client-side Validations Introduction 00:01:00 On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Password Strength Check Validation 00:04:00 Summary 00:01:00