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Professional Certificate in People Development and Human Resource Management explores key concepts to prepare the learner for the challenge of developing people within an organisation. The aim is to equip the learner with tools and strategies used in effective human resource management to plan and execute development programmes throughout the organisation. After the successful completion of this lecture, you will be able to understand the following: People Development Planning. Planning Functionalities. Resourcing and Succession Planning. Planning of Milestones. Business Case Studies. Costs and Benefits of Planning. Smart target settings. This course explores different skills and concepts essential for managing and developing people in an organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. People Development and Human Resource Management QUIZ: People Development And Human Resource Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for very one eager to know more and gets updated on current ideas in the respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Human Resource Manager Training Manager Talent Manager People Development Specialist Learning and Development Manager Average Completion Time 2 Weeks Accreditation 1 CPD Hour Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

The aim of this course is to provide participants with an understanding of the fundamental purposes of reward management, influential theories of work motivation and their implications for the design of reward systems, individual performance-related pay systems, and contemporary approaches in reward management. By the end of this course, participants will have gained a comprehensive understanding of reward management and the different approaches that can be used to design and implement effective reward systems that align with organizational goals and motivate employees to perform at their best. After the successful completion of the course, you will be able to learn about the following, The fundamental purposes of reward management. Influential theories of work motivation and their implications for the design of reward systems. Individual performance-related pay systems. Contemporary approaches in reward management.   This course aims to give learners a basic grasp of the core goals of reward management, as well as contemporary approaches to reward management and influential theories of work motivation and their implications for the design of reward systems. Participants will leave this course with the knowledge and abilities needed to successfully create and implement incentive management systems that support company objectives and encourage employees to provide better performance. The aim of this course is to provide participants with an understanding of the fundamental purposes of reward management, influential theories of work motivation and their implications for the design of reward systems, individual performance-related pay systems, and contemporary approaches in reward management. By the end of this course, participants will have gained knowledge and skills to effectively design and implement reward management systems that align with organizational goals and motivate employees to achieve high levels of performance. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Employee Reward Management and Payment Systems Self-paced pre-recorded learning content on this topic. Employee Reward Management And Payment Systems Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Payroll Manager Compensation and Benefits Manager HR Operations Specialist Total Rewards Analyst Payroll Administrator Rewards Program Coordinator HR Information Systems Analyst Executive Compensation Consultant Benefits Consultant Financial Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

The Essential UK Employment Law for HR Managers is a wonderful learning opportunity for anyone who has a passion for Leadership & Management and is interested in enjoying a long career in this relevant sector. It's also for anyone who is already a Human Resource (HR) Manager and looking to brush up their knowledge and boost their career with a recognised certification. This Essential UK Employment Law for HR Managers course consists of several modules that takes around 1 hour to complete. The course is accompanied by instructional videos, helpful illustrations, how-to instructions and advice. The course is offered online at a very affordable price. That gives you the ability to study at your own pace in the comfort of your home. You can access the modules from anywhere and from any device. 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. Course Content Introduction to Human Resources Introduction to Human Resources 00:16:00 Essential UK Employment Law Essential UK Employment Law 00:27:00 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 course aims to provide a comprehensive understanding of Talent Management, including its concept, purpose, and benefits. It aims to explore the financial value of Talent Management, with an emphasis on how effective Talent Management can improve a company's bottom line. The course also aims to analyze the Talent Management Process, from talent acquisition and development to performance evaluation and reward management. Through this course, learners will learn how to implement effective Talent Management strategies to attract, retain and develop top talent, resulting in a competitive advantage for their organization. After the successful completion of the course, you will be able to learn about the following, The concept, purpose and benefits of Talent Management. The Financial Value of Talent Management. The Talent Management Process.   The course aims to provide a comprehensive understanding of Talent Management by exploring the concept, purpose, and benefits of Talent Management. The course will highlight the importance of Talent Management in driving organizational performance and the financial value of Talent Management. The financial aspects of Talent Management will be examined, and the impact of effective Talent Management practices on an organization's bottom line will be discussed. Additionally, the Talent Management Process will be analyzed, including talent sourcing and retention, performance and rewards management, and employee development. By the end of the course, participants will have gained an understanding of the critical role of Talent Management in an organization's success, as well as the key practices necessary to effectively manage talent. The course aims to provide a comprehensive understanding of Talent Management, including its concept, purpose, and benefits. It aims to explore the financial value of Talent Management, with an emphasis on how effective Talent Management can improve a company's bottom line. The course also aims to analyze the Talent Management Process, from talent acquisition and development to performance evaluation and reward management. Through this course, learners will learn how to implement effective Talent Management strategies to attract, retain and develop top talent, resulting in a competitive advantage for their organization. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Introduction to Talent Management Self-paced pre-recorded learning content on this topic. Introduction to Talent Management Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Talent Acquisition Specialist HR Generalist Recruitment Coordinator Learning and Development Specialist Talent Management Coordinator HR Assistant Talent Acquisition Coordinator Human Capital Analyst HR Consultant Talent Acquisition Consultant Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Talent management is defined as the methodically organized, strategic process of getting the right talent on-field and helping

Imagine venturing into the dynamic world of affiliate marketing, harnessing the prowess of Amazon's vast marketplace to generate a stream of income. Our meticulously designed course, '14 Authority Sites For Learning Amazon Affiliate Marketing,' is the compass that will guide you through this lucrative realm. Delve into the expertise shared by industry titans across fourteen authoritative platforms, each module a stepping stone to becoming a savvy affiliate marketer. The curriculum is not just a series of lectures; it is a curated collection of wisdom, offering unparalleled insights from those who have built empires on the foundations of affiliate marketing. In this adventure, you will learn to craft compelling strategies, drawing upon the teachings of seasoned experts like Tung Tran and Jon Haver. As you progress, the course will introduce you to the architectural design of influential affiliate sites, reveal the secrets of income generation through tailored content, and uncover the nuances of driving traffic that converts. This learning path is paved with real-world examples, providing you a window into the successes crafted by professionals such as Spencer Hawes and Doug Cunnington, ensuring that every minute invested is a step toward your goal of mastering Amazon affiliate marketing. Learning Outcomes Discern the fundamental principles of Amazon affiliate marketing. Assess various strategies for building and maintaining successful affiliate sites. Evaluate the content that drives traffic and encourages click-throughs. Analyse the techniques for passive income streams from affiliate marketing. Synthesise knowledge from top affiliate marketers to create your own marketing approach. Why choose this 14 Authority Sites For Learning Amazon Affiliate Marketing course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this 14 Authority Sites For Learning Amazon Affiliate Marketing course for? Novices to affiliate marketing desiring a comprehensive introduction. Digital entrepreneurs aiming to diversify their revenue channels. Bloggers and content creators focusing on monetisation. Marketing strategists seeking insights into affiliate trends. Individuals committed to establishing a passive income online. Career path Affiliate Marketer: £20,000 - £60,000 Digital Marketing Specialist: £25,000 - £50,000 Content Strategist: £30,000 - £55,000 SEO Consultant: £25,000 - £50,000 E-commerce Manager: £35,000 - £70,000 Online Entrepreneur: £20,000 - £100,000+ Prerequisites This 14 Authority Sites For Learning Amazon Affiliate Marketing does not require you to have any prior qualifications or experience. You can just enrol and start learning.This 14 Authority Sites For Learning Amazon Affiliate Marketing was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction To This Course Introduction To This Course 00:04:00 14 Authority Sites For Learning Amazon Affiliate Marketing Cloudliving - Tung Tran 00:04:00 Authority Website Income - Jon Haver 00:05:00 BrandBuilders - Andrew James 00:03:00 Niche Pursuits - Spencer Hawes 00:04:00 Niche Site Project - Doug Cunnington 00:03:00 Dumb Passive Income - Matthew Allena 00:03:00 Human Proof Designs - Dom Wells 00:04:00 Cloud Income - Lewis Ogden 00:03:00 Andrew Girardin 00:03:00 UpFuel - Chris Guthrie 00:05:00 Charles Floate 00:03:00 Matthew Woodward 00:03:00 Diggity Marketing - Matt Diggity 00:03:00 Smart Passive Income - Pat Flynn 00:04:00 Assignment Assignment - 14 Authority Sites For Learning Amazon Affiliate Marketing 00:00:00

ICA International Diploma in Anti Money Laundering -Flagship qualification This ICA Diploma in Anti Money Laundering training course is an in-depth, graduate level programme which will provide Participants with a professional qualification in anti-money laundering upon completion and helps individuals develop best practice initiatives and prepares them to face present and future challenges, reducing risk. This qualification is increasingly important for professionals as money laundering prevention remains high on the agenda for financial services professionals. This Diploma will help Participants find an integrated approach to fighting the risk is needed and knowledgeable. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Course format 9-month course assessed by 3 written assignments (3,000 - 3,500 words) A mixture of guided online study and participation in live sessions: 2 x virtual classrooms* 1 x immersive learning scenario (putting you at the centre of a story) 3 x tutorials (a chance to discuss elements of the course in more depth) 3 x assessment preparation sessions Videos covering the latest industry developments and case studies Access to the ICA members' portal containing additional reading and resources Proactive support throughout the course to help you stay on track Students of this course will achieve the following outcomes: Increased potential for career progression Extensive knowledge and highly developed AML skills Enhanced workplace performance Professional membership of the ICA Ability to reduce reputational and financial risk for the organisation On successful completion of this ICA Diploma in Anti Money Laundering training course students will be awarded an ICA Diploma in Anti Money Laundering and will be able to use the designation 'Dip.(AML)'. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. The ICA Diploma in Anti Money Laundering training course instructs students in the following areas: Anti money laundering (AML) and countering the financing of terrorism CFT in context Terrorist financing proliferation financing and sanctions Designing a comprehensive AML/CTF risk-based approach for a financial services business Risk-based customer due diligence (CDD), customer risk profiling and monitoring Governance and leadership Suspicious activity reports/ suspicious transaction reports and dealing with the authorities

Register on the Training and Development Coordinator today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion. The Training and Development Coordinator is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The Training and Development Coordinator Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) 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 Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the Training and Development Coordinator, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.  Course Content Module 01: The Roles of a Learning Support Assistant (LSA) The Roles of a Learning Support Assistant (LSA) 00:26:00 Module 02: Working with Children in a School Working with Children in a School 00:18:00 Module 03: Assessing Students Assessing Students 00:12:00 Module 04: Skills of a Learning Support Assistant Skills of a Learning Support Assistant 00:23:00 Module 05: Providing for All Children Providing for All Children 00:28:00 Module 06: Safeguarding and Wellbeing of Children and Young People Safeguarding and Wellbeing of Children and Young People 00:22:00 Module 07: Dealing with Emergencies Dealing with Emergencies 00:21:00 Module 08: Special Educational Needs (SEN) Special Educational Needs (SEN) 00:38:00 Module 09: Behavioural Views of Learning Behavioural Views of Learning 00:21:00 Module 10: Cognitive Development Cognitive Development 00:29:00 Module 11: Social, Moral and Emotional Development Social, Moral and Emotional Development 00:24:00 Module 12: Professional Development Professional Development 00:24:00 Module 13: Time and Stress Management Time and Stress Management 00:21:00 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.