2608 Exercises courses in Edinburgh delivered Online

Fraud Prevention: A Guide for Small and Medium Sized Enterprises   Course Description   Copyright Ross Maynard 2021   Course Description Business fraud is a significant, and growing problem. Hardly a day goes by without news reports of organisations being hacked or having their data hijacked. Phishing scams and ID theft are also serious threats to businesses. According to data produced by Accenture, 43% of cyber attacks are aimed at small or medium sized organisations, but only 14% of those organisations are well protected. Around 60% of successful internet fraud cases are the result of phishing emails, and  30% of cases result from ID theft. These two approaches are increasingly being combined in business internet fraud. The aim of this course is to help managers in small or medium sized organisations understand the fraud risk that they face, and to take action to mitigate the risk. The course covers frauds risks, creating an anti-fraud culture and developing an fraud risk management strategy. The course comes with a fraud risk mini-audit and sample anti-fraud policies, and related policy documents. The best way to prevent fraud is to have clear anti-fraud policies and procedures which all staff understand, and which are rigorously enforced; coupled with an open, communicative environment, where staff feel safe and supported to question actions and raise concerns. To help your organisation put these elements in place, this course has five parts: Part 1: What is Fraud and Who Commits it? Part 2: Creating an Anti-Fraud Culture Part 3: Fraud Risk Management Part 4: Managing Bribery Risk Part 5: Appendices with sample anti-fraud policies, fraud response plans, a whistleblowing policy and anti-bribery policy.   I hope you find the course helpful.     Key Learning Points  On completion of the course, delegates will be able to: Define meaning and nature of business fraud Appreciate the variable nature of people’s honesty and how that can tip into fraud Understand the personality types of people who commit business fraud Identify the elements of an anti-fraud culture Explain the steps required to guard against internet fraud Understand the elements of a fraud risk management strategy Outline the sanctions available for those committing fraud Develop an Anti-Fraud Policy, Fraud Response Plan, Whistleblowing Policy and Anti-Bribery Policy for their organisation Begin to audit the level of fraud risk and bribery risk in their organisation     Curriculum Part 1: What is Fraud and Who Commits it? L1: What is Fraud? L2: The Variable Nature of Honesty Part 2: Creating an Anti-Fraud Culture L3: Creating an Anti-Fraud Culture L4: Internet Fraud and Cybercrime  Part 3: Fraud Risk Management L5: The Fraud Risk Management Strategy Part 1 L6: The Fraud Risk Management Strategy Part 2 L7: Sanctions for Fraud  L8: Tips to Help Prevent Fraud L9: The Fraud Risk Mini-Audit L10: Fraud Prevention Exercises Part 4: Managing Bribery Risk L11: The Bribery Act 2010 L12: The Bribery Risk Mini-Audit Part 5: Appendices Sample Anti-Fraud Policy 1 Sample Anti-Fraud Policy 2 Sample Fraud Response Plan 1 Sample Fraud Response Plan 2 Sample Whistleblowing Policy Sample Anti-Bribery Policy     Pre-Course Requirements There are no pre-course requirements     Additional Resources PDF copies of the following documents are provided with the course: Sample Anti-Fraud Policy 1 Sample Anti-Fraud Policy 2 Sample Fraud Response Plan 1 Sample Fraud Response Plan 2 Sample Whistleblowing Policy Sample Anti-Bribery Policy Sample Code of Ethics CIMA Fraud Risk Management Guide 2016 The Honesty Questionnaire The Fraud Risk Mini-Audit The Bribery Risk Mini Audit     Course Tutor Your tutor is Ross Maynard. Ross is a Fellow of the Chartered Institute of Management Accountants in the UK and has 30 years’ experience as a process improvement consultant specialising in business processes and organisation development. Ross is also a professional author of online training courses. Ross lives in Scotland with his wife, daughter and Cocker Spaniel

This course aims to equip you with the skills to create an operational mobile Instagram app feed using React Native and ChatGPT. Additionally, it offers comprehensive resources to develop a well-rounded project that you can showcase as a prototype upon completion. You will use all the latest and trending tools for application development from scratch.

Negotiation Skills: Negotiation Skills Course Online Transform Your Future with Our Level 5 Negotiation Skills Course! Are you ready to elevate your career with advanced negotiation skills? Our Level 5 Negotiation Skills course is specifically designed to enhance your negotiation skills, empowering you to navigate any situation with confidence. In this comprehensive course, you will master key negotiation skills, learning effective techniques that can be applied in real-world scenarios. Each module focuses on developing your negotiation skills through engaging content and practical exercises. Unlock the secrets of successful negotiation skills with insights from industry experts. Our Level 5 Negotiation Skills course will provide you with the tools to refine your negotiation skills and achieve outstanding results. Join us today and take the first step toward mastering your negotiation skills. With our Level 5 Negotiation Skills course, you’ll gain the confidence and expertise needed to excel in any negotiation. Don’t wait—enroll now and elevate your negotiation skills to new heights! Special Offers of this Negotiation Skills: Negotiation Skills Course: This Negotiation Skills: Negotiation Skills Course includes a FREE PDF Certificate. Lifetime access to this Negotiation Skills: Negotiation Skills Course Instant access to this Negotiation Skills: Negotiation Skills Course 24/7 Support Available to this Negotiation Skills: Negotiation Skills Course [ Note: Free PDF certificate as soon as completing the Negotiation Skills: Negotiation Skills Course] Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills Course consist of 12 detailed modules In our Level 5 Negotiation Skills course, you will develop essential negotiation skills that will transform your approach. Each module enhances your negotiation skills, focusing on practical applications of negotiation skills. You’ll engage in exercises designed to improve your negotiation skills and boost your confidence in negotiation skills. Mastering negotiation skills opens doors to success in all aspects of negotiation skills. Who is this course for? Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course is ideal for candidates committed to their ongoing professional development. Requirements Negotiation Skills: Negotiation Skills Course Online To enrol in this Negotiation Skills: Negotiation Skills Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Negotiation Skills: Negotiation Skills Course. Be energetic and self-motivated to complete our Negotiation Skills: Negotiation Skills Course. Basic computer Skill is required to complete our Negotiation Skills: Negotiation Skills Course. If you want to enrol in our Negotiation Skills: Negotiation Skills Course, you must be at least 15 years old. Career path Negotiation Skills: Negotiation Skills Course Online This Negotiation Skills: Negotiation Skills Course could hold the key to the leadership career of your dreams. Typical job titles in management and leadership include: Team Leader Manager Controller

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations. This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

This masterclass is designed to provide professionals, caregivers, and individuals with a comprehensive understanding of the 3-Phase Protocol for PTSD—a structured approach aimed at addressing trauma-related symptoms, stabilizing emotional responses, and fostering long-term recovery. The protocol combines evidence-based practices with experiential learning, enabling participants to apply these principles in clinical and self-help settings.

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for IT Professionals and Consultants. Overview Identify risks and areas for improvement in a Citrix Virtual Apps and Desktops environment by assessing relevant information in an existing deployment. Determine core Citrix Virtual Apps and Desktops design decisions and align them to business requirements to achieve a practical solution. Design a Citrix Virtual Apps and Desktops disaster recovery plan and understand different disaster recovery considerations. This advanced 5-day training course teaches the design principles for creating a Citrix Virtual Apps and Desktops virtualization solution. In this training, you will also learn how to assess existing environments, explore different scenarios, and make design decisions based on business requirements. This course covers the Citrix Consulting approach to design and covers the key design decisions through lectures, lab exercises, and interactive discussions. You will also learn about additional considerations and advanced configurations for multi-location solutions and disaster recovery planning. This training will help you prepare for the Citrix Certified Expert in Virtualization (CCE-V) exam. Module 1: Methodology & Assessment The Citrix Consulting Methodology Citrix Consulting Methodology Use Business Drivers Prioritize Business Drivers User Segmentation User Segmentation Process App Assessment Introduction App Assessment Analysis Why Perform a Capabilities Assessment? Common Capabilities Assessment Risks Module 2: User Layer Endpoint Considerations Peripherals Considerations Citrix Workspace App Version Considerations Citrix Workspace App Multiple Version Considerations Network Connectivity and the User Experience Bandwidth and Latency Considerations Graphics Mode Design Considerations HDX Transport Protocols Considerations Media Content Redirection Considerations Session Interruption Management Session Reliability Feature Considerations Session Interruption Management Auto-Client Reconnect Feature Considerations Session Interruption Management ICA Keep-Alive Feature Considerations Module 3: Access Layer Access Matrix Access Layer Access Layer Communications Double-Hop Access Layer Considerations Citrix Cloud Access Layer Considerations Use Cases for Multiple Stores Define Access Paths per User Group Define Number of URLs Configuration and Prerequisites for Access Paths Citrix Gateway Scalability Citrix Gateway High Availability StoreFront Server Scalability StoreFront Server High Availability Module 4: Resource Layer - Images Flexcast Models VDA Machine Scalability VDA Machine Sizing with NUMA VDA Machine Sizing VDA Machine Scalability Cloud Considerations Scalability Testing and Monitoring Secure VDA Machines Network Traffic Secure VDA Machines Prevent Breakouts Secure VDA Machines Implement Hardening Secure VDA Machines Anti-Virus Review of Image Methods Citrix Provisioning Overall Benefits and Considerations Citrix Provisioning Target Device Boot Methods Citrix Provisioning Read Cache and Sizing Citrix Provisioning Write Cache Type Citrix Provisioning vDisk Store Location Citrix Provisioning Network Design Citrix Provisioning Scalability Considerations Citrix Machine Creation Services Overall Benefits and Considerations Citrix Machine Creation Services Cloning Types Citrix Machine Creation Services Storage Locations & Sizing Citrix Machine Services Read and Write Cache App Layering Considerations Image Management Methods Module 5: Resource Layer - Applications and Personalization Application Delivery Option Determine the Optimal Deployment Method for an App General Application Concerns Profile Strategy Profile Types Review Citrix Profile Management Design Considerations Citrix Profile Management Scaling Citrix Profile Management Permissions Policies Review Optimize Logon Performance with Policies Printing Considerations Module 6: Control Layer Pod Architecture Introduction Pod Architecture Considerations Citrix Virtual Apps and Desktops Service Design Considerations Implement User Acceptance Testing Load Balancing the Machine Running the VDA Citrix Director Design Considerations Management Console Considerations Change Control Delivery Controller Scalability and High Availability Control Layer Security Configuration Logging Considerations Session Recording Module 7: Hardware/Compute Layer Hypervisor Host Hardware Considerations Separating Workloads Considerations Workload Considerations VMs Per Host and Hosts Per Pool Citrix Hypervisor Scalability VM Considerations in Azure and Amazon Web Services Storage Tier Considerations Storage I/O Considerations Storage Architecture Storage RAID & Disk Type Storage Sizing LUNs Storage Bandwidth Storage in Public Cloud Datacenter Networking Considerations Securing Hypervisor Administrative Access Secure the Physical Datacenter Secure the Virtual Datacenter Module 8: Module 8: High Availability and Multiple Location Environments Redundancy vs. Fault Tolerance vs. High Availability Multi-Location Architecture Considerations Multi-Site Architecture Considerations Global Server Load Balancing Optimal Gateway Routing Zone Preference and Failover StoreFront Resource Aggregation StoreFront Subscription Sync Hybrid Environment Options Citrix Provisioning Across Site Site Database Scalability and High Availability Citrix Provisioning Across Sites Considerations Citrix Machine Creation Across Sites App Layering Across Sites Managing Roaming Profiles and Citrix Workspace App Configurations Across Devices Profile Management Multi-Site Replication Considerations Folder Redirections and Other User Data in a Multi-Location Environment Application Data Considerations Cloud-Based Storage Replication Options Multi-Location Printing Considerations Zone Considerations Active Directory Considerations Module 9: Disaster Recovery Tiers of Disaster Recovery Disaster Recovery Considerations Business Continuity Planning and Testing Citrix Standard of Business Continuity

Gain practical skills in influencing and decision-making, perfect for anyone working in team-based or project-focused environments, with interactive, hands-on learning. Course overview Duration: 1 day (6.5 hours) This is a highly interactive and practical course which will help you to use influencing and decision making techniques. This workshop has been specifically designed to give you an opportunity to learn and test a range of influencing and decision making models and techniques. The course is aimed at anyone who interacts with others on a regular basis, especially those in project management disciplines, multi disciplinary, matrix type organisations where healthy debate and challenge are key to achieving optimum resolutions. Objectives By the end of the course you will be able to: Utilise a variety of new techniques to enhance your influencing skills Recognise the impact of non-verbal communication and use it to enhance influencing behaviours Use language skills necessary to get your message across in an influential way Apply different techniques for dealing with aggression Understand VUCA – Volatility, Uncertainty, Complexity & Ambiguous Use Perception, Bias, Decision Making and Judgement Understand personal preferences and approaches to Decision Making Speed read others approach to decision making Apply Mindsets, Skillsets and Toolsets for decision making Content What is influencing? Sources of power Influencing skills Choosing the right approach Developing Skills Communication skills – the language of influence Different influencing techniques and when to use them Having the confidence to challenge Dealing with confrontation and challenges in a confident manner The Decision Lifecycle – Personal Preferences Understand the human facts that influence decision making Understanding personal preferences and approaches to Decision Making Understand the impact of Perception, Bias and judgement in decision making Speed reading others approach to decision making Frameworks to provide context for decision making Understand the business factors that influence decision making - VUCA The Cynefin Framework – decision making in complex situations Understanding which business context, you operate in – simple, complicated, complex or chaotic Understanding how to decide in complexity Practical Practical exercises Case studies Personal action planning

This bundle course has been specially designed to equip our learners with a more in-depth understanding of lettings negotiating by providing them with essential functional maths skills required for this role. By combining these related courses, learners will be able to apply their practical knowledge in the real world, to take their professionalism to the next level. Take steps to become a certified lettings negotiator and be equipped with the skills and practical knowledge to advise clients and support landlords in renting their properties with the Lettings negotiator Diploma. This beginners training program is designed to provide an insight into lettings management, exploring the role of a lettings negotiator and lettings agent in detail. You will learn about the different types of agents, how to carry out a property valuation, build a relationship with clients and much more. Possessing excellent maths skills is essential for anyone who wishes to work in the property market. The Functional Maths Training Course is designed to provide aspiring lettings negotiators with the necessary skills to master everyday maths problems related to lettings management. You will learn how to calculate overall profit and loss, develop crucial problem-solving skills and gain confidence in working with decimals, fractions and percentages. This training program includes practical exercises that can be applied in real-world scenarios and is an opportunity to learn valuable transferable skills. Learning Outcomes: Learn the fundamental principles and practices of lettings management Familiarise with the lettings agency agreements guideline Understand the differences between a lettings agent and estate agent Explore the day-to-day role and responsibilities of a lettings agent Develop a solid understanding of the property valuation process Gain advanced knowledge of functional maths and apply your new skills to everyday situations Develop your skills in logical thinking and problem-solving Learn how to work with decimals, percentages, fractions and much more Gain a solid understanding of ratios and proportion through practical exercises Understand how to calculate overall profit and loss Who is This Course for? This bundle course is ideal for aspiring lettings negotiators, or lettings agents who are new to the field and wish to gain the relevant skills and knowledge to take their career to the next level. This course is also ideal for anyone who works in the real estate industry and wishes to develop their skills in everyday maths. Method of Assessment: Upon completion of the course, you will be required to sit for an online multiple-choice quiz based assessment, which will determine whether you have passed the course (60% pass mark). The test will be marked immediately and results will be published instantly. CPD Certificate from Course Gate  At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career Path This bundle course is the ultimate package training certification for those who are interested in a career in property. On successful completion, you will have the opportunity to work in a wide range of related industries, in roles such as: Lettings Negotiator Lettings Agent Manager Estate Agent or Lettings Manager Course Curriculum **Letting Agent** Lettings Management Introduction to Lettings Management 00:20:00 Necessary Documents for Lettings Management 01:30:00 Lettings Agency Agreements Guideline 00:15:00 Types of Agents 00:15:00 Knowing Your Clients 00:30:00 Lettings Management Agent Services 00:20:00 Property Valuation 00:30:00 Property Negotiation 00:30:00 Property Management 00:30:00 Lettings Management Laws 00:30:00 Letting Agent Code of Practice Introduction to Letting Agent Code of Practice 00:20:00 Overarching Standards of Practice 00:30:00 Lettings 00:30:00 Management and Maintenance 00:20:00 Ending the Tenancy and Communications & Resolving Complaints 00:15:00 Arrangements 00:15:00 Being a Lettings Negotiator Home Loans 00:15:00 Knowing When You're Ready To Buy 00:15:00 Is Your Lake Home For Sale? 01:00:00 Legal System & Lettings Management UK An Introduction to the UK legal system 00:15:00 Different Types of Investment Structures 00:15:00 Title & Registration 00:15:00 Finance in Lettings Management 00:15:00 Investment Purchase Procedure 00:15:00 Acquisition Costs 00:15:00 Land Usage 00:15:00 Planning & Environment 00:15:00 Investment Structure & Key Legislations 00:15:00 **Functional Skills (Maths)** Integers ( Directed Numbers) Lecture 1 Introduction 00:02:00 Lecture 2 Multiplying any digit number by 11, 22, and 33 00:09:00 Lecture 3 Integers and ordering of integers 00:06:00 Lecture 4 Addition and Subtractions of Integers 00:07:00 Lecture 5 Operations on Integers 00:04:00 Lecture 6 Multiplication and Division of Integers 00:04:00 Lecture 7 Powers of Integers (Exponents) 00:04:00 Factors and Multiples Lecture 8 Complete knowledge about factors and multiples 00:06:00 Lecture 9 Divisibility tests for 2,3,4,5,6 00:07:00 Lecture 10 Divisibility rules 7,8,9,10,11 00:06:00 Lecture 11 Prime Factorization 00:06:00 Lecture 12 Highest Common Factor HCF 00:10:00 Lecture 13 Least Common Multiple LCM 00:16:00 Lecture 14 Relation between LCM and HCF 00:04:00 Fractions Lecture 15 Classification of Fractions 00:04:00 Lecture 16 Convert mixed to improper and improper to mixed fractions 00:03:00 Lecture 17 Equivalent Fraction 00:04:00 Lecture 18 Comparing Fractions after converting to like fractions 00:09:00 Lecture 19 Reducing a fraction to lowest term 00:04:00 Lecture 20 Addition and subtraction OF fractions 00:08:00 Lecture 21 Multiplication and division of fractions 00:11:00 Lecture 22 Word problems on fractions 00:16:00 Simplification Rule : BODMAS Lecture 23 BODMAS and rules to remove brackets 00:03:00 Lecture 24 Simplify expressions using BODMAS rules 00:05:00 Lecture 25 Simplify expressions involving fractions using BODMAS 00:07:00 Decimal numbers Lecture 26 Decimal numbers in relation to fractions 00:08:00 Lecture 27 Like and unlike Decimals 00:05:00 Lecture 28 Ordering of Decimal numbers 00:10:00 Lecture 29 Addition and subtraction of Decimal 00:07:00 Lecture 30 Multiplication of Decimal 00:03:00 Lecture 31 Division of Decimal 00:05:00 Rational Numbers Lecture 32 Rational number 00:02:00 Lecture 33 Representation of Rational Numbers on Number line 00:04:00 Lecture 34 Determining which fraction is terminating or non terminating 00:05:00 Lecture 35 shortcut method of writing decimal expansion of fraction to decimal 00:08:00 Approximation Lecture 36 Rounding to whole number 00:06:00 Lecture 37 Rounding to required number of decimals (1 d.p. ) 00:05:00 Lecture 38 rounding to significant digits 00:07:00 Lecture 39 Practice question on three methods of approximation 00:05:00 Estimation and Scientific Notation or Standard form Lecture 40 Estimation 00:05:00 Lecture 41 Scientific Notation 00:07:00 Lecture 42 Operation on numbers when they are in scientific notation 00:06:00 Percentage Lecture 43 Percentage to fraction and fraction to percentage 00:06:00 Lecture 44 Percentage of a quantity and conversation to decimal 00:06:00 Lecture 45 Expressing one quantity as percentage of another quantity 00:06:00 Lecture 46 Finding increase decrease percent 00:05:00 Lecture 47 Uses of percentages-Word Problems 00:09:00 Ratio and Proportion Lecture 48 Ratio- How to express as simple ratio 00:09:00 Lecture 49 How to compare Ratios 00:04:00 Lecture 50 Word problems on finding ratios 00:07:00 Lecture 51 To divide a given quantity into a given Ratio 00:11:00 Lecture 52 Proportion 00:04:00 Lecture 53 Practice problems on Proportion 00:06:00 Lecture 54 Continued proportion 00:06:00 Unitary Method and its Applications Lecture 55 Direct Variation ( or proportion) 00:04:00 Lecture 56 Problems based on Direct proportion 00:10:00 Lecture 57 Inverse Variation ( or proportion) 00:10:00 Lecture 58 Multiple Ratios 00:10:00 Profit , Loss, discount and Tax Lecture 59 Basics - Profit and Loss 00:04:00 Lecture 60 More practice problems on Profit & Loss 00:06:00 Lecture 61 Selling price formula and Problems 00:04:00 Lecture 62 Cost price formula and Problems 00:03:00 Lecture 63 Higher problems on Profit and Loss 00:08:00 Lecture 64 Basics - Discount 00:05:00 Lecture 65 Practice problems on Discount 00:04:00 Lecture 66 Tax 00:06:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

Motivation: Motivational Interviewing Would you like to master motivational interviewing principles to make positive changes? We have created a special motivational interviewing course to spread positive word training all over. Through the motivational interviewing course, you will learn empathetic dialogue and active listening. Also, in the motivational interviewing course, attendees learn to navigate ambivalence, enhance intrinsic motivation, and guide individuals towards their goals. The motivational interviewing course’s key components include open-ended questioning, reflective listening, and eliciting change talk. Moreover, this motivational interviewing course's practical exercises and case studies provide opportunities to apply techniques in diverse contexts, fostering skill development. Participate in our motivational interviewing course to learn effective communication strategies to inspire behavioural change. Special Offers of this Motivation: Motivational Interviewing Course This Motivation: Motivational Interviewing Course includes a FREE PDF Certificate. Lifetime access to this Motivation: Motivational Interviewing Course Instant access to this Motivation: Motivational Interviewing Course Get FREE Tutor Support to this Motivation: Motivational Interviewing Course Motivation: Motivational Interviewing Unlock the power of empathetic communication with our Motivation: Motivation Interviewing Course. Through this comprehensive Motivation: Motivation course, you'll master the art of empathetic dialogue and active listening, essential for guiding individuals towards their goals. Our Motivation: Motivation training will teach you how to navigate ambivalence and enhance intrinsic motivation, making it easier to inspire change. The Motivation: Motivation course covers key techniques like open-ended questioning, reflective listening, and eliciting change talk. Plus, with practical exercises and case studies, our Motivation: Motivation course ensures you can apply these skills in real-world scenarios. Elevate your professional impact with our Motivation: Motivation Interviewing Course. Who is this course for? Motivation: Motivational Interviewing This motivational interviewing course is ideal for those looking to advance their career in relevant fields. Requirements Motivation: Motivational Interviewing To enrol in this Motivation: Motivational Interviewing Course, students must fulfil the following requirements. To join in our Motivation: Motivational Interviewing Control Course, you must have a strong command of the English language. To successfully complete our Motivation: Motivational Interviewing Course, you must be vivacious and self driven. To complete our Motivation: Motivational Interviewing Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Motivation: Motivational Interviewing Course. Career path Motivation: Motivational Interviewing You can pursue a profession as a motivational interviewer, social worker, counsellor, or in many other fields with the use of this motivational interviewing course.