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Plus Studyhub's signature Forever Access is given as always, meaning these Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate courses are yours for as long as you want them once you enrol in this course This Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate Bundle consists the following career oriented courses: Course 01: Anti Money Laundering (AML) Course 02: Know Your Customer (KYC) Course 03: Financial Risk Management: Strategies for Success Course 04: Investment Analyst / Advisor Course 05: Corporate Finance: Working Capital Management Course 06: Financial Statements Fraud Detection Training Course 07: Financial Investigator Course 08: Financial Analysis Methods Course 09: Corporate Finance: Profitability in a Financial Downturn Course 10: Finance: Financial Risk Management Course 11: Navigating Corporate Tax Return Procedures in the UK Course 12: Financial Trading Certification and Risk Management Diploma Course 13: International Banking: Global Operations and Cross-Border Transactions Course 14: Fraud Detection & Prevention: Safeguarding Against Deception Course 15: Credit Control and Compliance Training Course 16: Transaction Monitoring in Financial Services: Ensuring Security Course 17: Financial Controller Training Course 18: Financial Management Professional Training Certification Course 19: Financial Crime Officer Course 20: Security Management and Fraud Prevention Training Course 21: Capital Budgeting & Investment Decision Rules Course 22: Raise Money and Valuation for Business Course 23: Economics Diploma Course 24: Actuary Certification: Navigating the Complex World of Risk and Finance Course 25: Finance Law Fundamentals: Legal Aspects of Financial Transactions The Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate course has been prepared by focusing largely on Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate career readiness. 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Every one of the topics is divided into Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate Elementary modules, allowing our students to grasp each lesson quickly. The Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate bundle, you really hit the jackpot. Here's what you get: Step by step Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate lessons One to one assistance from Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificateprofessionals if you need it Innovative exams to test your knowledge after the Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificatecourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate certificate and transcript on the next working day Easily learn the Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate Requirements To participate in this Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate course, all you need is - A smart device A secure internet connection And a keen interest in Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management Certificate Career path You will be able to kickstart your Anti Money Laundering(AML), Know Your Client (KYC) and Risk Management career because this course includes various courses as a bonus. 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In the pulsating heart of every successful organization lies a powerhouse known as HR Management - the architects of talent, the custodians of culture, and the linchpins of organizational success. Welcome to our Level 3 Certificate in HR Management, where we unveil the secrets to mastering the art and science of human resource leadership. Picture this: You, the master of HR Management, standing at the helm of your organization, guiding its destiny with wisdom and finesse. Your team is not just a collection of individuals; they're a cohesive unit fuelled by purpose and passion. With our HR Management course, this vision becomes your reality. Dive into our meticulously crafted HR Management curriculum, where each section is a treasure trove of knowledge waiting to be unlocked. From understanding core concepts to implementing world-class HR Management employee retention strategies, we equip you with the tools and techniques to build a thriving workforce that drives bottom-line results. Level 3 Certificate in HR Management Learning Outcomes: Grasp the foundational principles of HR Management with clarity and confidence. Implement proven employee retention strategies to cultivate a loyal and engaged workforce. Analyse and adopt HR Management best practices from top companies to enhance employee benefits and satisfaction. Apply practical tips and techniques to retain talent and foster a culture of loyalty and commitment. Forge strong, meaningful relationships with employees, fostering a sense of belonging and purpose. Synthesize key learnings into actionable insights to drive organizational success and growth. Level 3 Certificate in HR Management Section 01: Introduction to HR Management Section 02: Core Concepts Section 03: Best Employee Retention Strategies That Actually Work Section 04: Employee Benefits & Retention Strategies Used by World's Top Companies Section 05: Practical Tips to Retain Employees in Your Organisation Section 06: Bonus Section: Building a Strong Relation with Employees Section 07: Conclusion Certificate of Achievement Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the HR Management course as proof of their achievement. You can order the endorsed certificate for Free to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement of QLS certificate on Level 3 Certificate in HR Management course The Quality Licence Scheme (QLS) has endorsed this HR Management course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the HR Management course has been reviewed and approved by the QLS and meets the highest quality standards. Who is this course for? Level 3 Certificate in HR Management The Level 3 Certificate in HR Management is designed for individuals seeking to enhance their skills and knowledge in the dynamic field of HR Management, like - HR Managers Talent Acquisition Specialists Employee Relations Officers Organizational Development Managers Small Business Owners Requirements Level 3 Certificate in HR Management To enrol in this Level 3 Certificate in HR Management course, all you need is a basic understanding of the English Language and an internet connection. Career path Level 3 Certificate in HR Management Welcome to a realm of boundless opportunities! Explore diverse career paths after completing this HR Management course. Embrace the journey ahead in HR Management. HR Director Talent Acquisition Manager Employee Relations Consultant Organizational Development Specialist Small Business HR Manager Certificates CPD Accredited PDF Certificate Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Hard copy certificate - £9.99 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Duration 5 Days 30 CPD hours This course is intended for This course is designed for programmatic developers looking to write programmatic customizations to both business logic and UI layers using Apex and Visualforce. You should have a good understanding of core object-oriented programming concepts and experience building declarative solutions on the Salesforce Platform. This course is also a great foundation builder if you're looking to earn your Salesforce Platform Developer I credential. IMPORTANT: Students are expected to follow the steps detailed in the Computer Set-up Guide for this class if you'll be using your own computer when attending a virtual or in-person class. Overview Learn modern tools for developing on the Salesforce Platform using Visual Studio Code, the Salesforce Extension Pack, and the Salesforce CLI. Write business logic customizations using Apex triggers and classes; those customizations will use SOQL and DML. Design programmatic solutions that take advantage of declarative customizations. Describe how your trigger code works within the basics of the Save Order of Execution. Describe some of the fundamental aspects of designing programs on a multi-tenant platform. Write Visualforce markup and code to customize the user interface. Use the built-in testing framework to test Apex and Visualforce. Learn how to customize and design applications programmatically on the Salesforce Platform. In this 5-day class, our platform experts will introduce you to Apex (Salesforce?s programming language) and Visualforce markup, so you can customize your Salesforce applications using code and explore how Apex interacts with declarative customizations on the platform. Learn how to retrieve, manipulate, and store data programmatically in data objects (sObjects), write and test custom logic, write Visualforce pages to customize your user interface, and deploy your solutions to another environment. Get an overview of the declarative automation tools available on the platform and a brief introduction to the Lightning Component framework. Plus, explore the nuances of working on a multi-tenant platform so you can extend the platform to meet business demands. Declarative Automation Create Formula Fields Create Roll-Up Summary Fields Understand Record Types Review Other Automation Tools Build a Data Model on the Salesforce Platform Programming with Apex Describe Key Aspects of Apex That Differentiate It from Other Languages, Such as Java and C# Describe Why Apex Transactions and Governor Limits Must Be Considered When Writing Apex Execute Simple Apex Use the sObject Data Type, the Primitive Data Types, and Basic Control Statements in Apex Using SOQL and SOSL to Retrieve Your Org?s Data Write a Basic Query Using Salesforce?s Query Language, SOQL Process the Result of a Query in Apex Create a Query Dynamically at Run-Time Use SOQL to Query Parent-Child Relationships Describe a Relationship Query Write a Query That Traverses a Child-to-Parent Relationship Write a Query That Traverses a Parent-to-Child Relationship Use SOSL to Search Data Using DML to Manipulate Your Org?s Data List the Differences Between the Ways You Can Invoke DML Operations Write Apex to Invoke DML Operations and Handle DML Errors Deployment What Is Deployment? Deploy Code Using Change Sets Use the Ant Migration Tool Review Managed and Unmanaged Packages Explore Salesforce DX Trigger Essentials Describe What a Trigger Is Used For Describe the Syntax of a Trigger Definition Use Trigger Context Variables Apex Class Essentials Describe How Apex Classes Are Used Define an Apex Class Determine What Data an Apex Class Can Access The Save Order of Execution, Apex Transactions, and Platform Events Describe Key Points in the Order of Execution Describe How Triggers Fit Into and Can Be Impacted by the Order of Execution Describe the Lifecycle of an Apex Transaction Describe the Memory Lifecycle for Static Attributes Use Platform Events for Immediate Error Logging Apex Testing Describe the Apex Testing Framework Create Test Data Write and Run an Apex Test Test Best Practices Strategies for Designing Efficient Apex Solutions Describe Best Practices for Writing Code That Is Easy to Maintain and Extend Write Triggers and Classes That Assume Batches of Data as Input Write Code That Works Efficiently with the Database, Both in Querying and Using DML Trigger Design Strategies List Declarative Mechanisms You Can Use to Implement Complex Business Logic, What Types of Problems They?re Best Used for, and Their Limitations Describe Ways in Which You Can Use Declarative Functionality to Improve Your Programmatic Solutions Working with Visualforce Create a Visualforce Page Reference a Standard Controller Launch a Visualforce Page Using a Custom Button Display Data from a Record in a Visualforce Page Reference Custom Controllers and Controller Extensions Work with List Controllers Visualforce Development Considerations and Testing Describe Common Limit Issues and Security Concerns Describe Strategies for Testing Visualforce Controllers Write Tests for Controller Constructors Write Tests for Action Methods, Getters, Setters, and Properties Lightning Components Create and Surface an Aura Component Create and Surface a Lightning Web Component Additional course details: Nexus Humans Salesforce Build Applications Programmatically on the Salesforce Platform (DEX450) 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 Salesforce Build Applications Programmatically on the Salesforce Platform (DEX450) 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.
Learn the principles of emotional intelligence about how your emotions influence the way you understand yourself, how you build relationships, how you manage stress and how you make decisions. We all have emotions! You will need an open mind and a willingness to learn about how to positively embrace working with your intelligence and your emotions. You should be committed to developing your ability to manage the emotional dimensions of life.
Overview This comprehensive course on Data Science & Machine Learning with Python will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with Python comes with accredited certification from CPD, 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 Data Science & Machine Learning with Python. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with Python 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 Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 90 lectures • 10:24:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:08:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:07:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00
1 - 1 Guitar lessons for beginners. Adults and children welcome. Classes are taught via Zoom. Hi! My name is Iain and I’m a Guitar addict. I’ve been learning since I was 10 years old and have fallen in love with playing Guitar over and over again over the last 30 (or more) years. I started teaching Music in 2003. At the time I was doing a World Music degree at SOAS, studying everything from West African Blues to Indian Raga. My first teaching gig was at an after school club and I immediately loved teaching Music. After graduating I got a job as Music teacher at Carlton Primary School and over the next several years I taught Music and Guitar for Hackney and Camden Music services. This gave me the opportunity to work in many different schools, teaching whole classes, small groups and one to one lessons. Working in such a wide variety of settings was the best experience any young teacher could hope for. In 2012 I got my teaching qualification form the University of East London and went to work for Beal High School in Ilford. I started as a Guitar/Music teacher and then moved into their Autistic provision as a class teacher. This really made me aware of the importance of teaching in a way that suits the individual’s needs and avoiding a ‘one size fits all’ approach to education. In 2015 I started work as a Music teacher for Harmeny Education Trust in Edinburgh. Harmey provides for children who have experienced significant trauma in their early lives and takes a therapeutic approach to education. It’s a great place to work and we’re now working on expanding from just Music lessons to doing media projects as well – making Youtube videos and podcasts and exploring all sorts of ways to record and express ourselves. I have always done small bits of private teaching alongside school work and in January 2020 I decided to start a proper Guitar teaching business. And then 2 months later the pandemic hit and lockdowns started! But, as they say, necessity is the mother of invention and I’ve been lucky to find some wonderful students online who are learning via Zoom and also expand my Youtube channel along the way.