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Learn how to make a real difference in your life with our popular relationship manager. Our commitment to online learning and technical expertise is heavily leveraged in the content of these educational modules. Enrol today to take your relationship management knowledge to a whole new level and gain immediate access to research in your chosen field. A Relationship Manager is a professional who is responsible for managing relationships with clients and customers. They are often employed by banks, financial institutions, and other organisations that need to maintain a strong relationship with their customers. This course is endorsed by The Quality Licence Scheme and accredited by CPD (with 120 CPD points) to make your skill development and career progression substantial and easier than ever! The Relationship Manager is responsible for understanding the needs of the customer, providing customer service, and ensuring that the customer is satisfied with the services provided. They also work to build trust and loyalty between the organisation and the customer, as well as to identify any potential issues that may arise. Additionally, they may be responsible for developing and implementing strategies to increase customer satisfaction and loyalty. Enrol now to learn all about it! Learning outcomes Instant access to verified and trusted information Participate in creative and interactive training exercises Rapid assessment and instruction for all subjects The freedom to study anywhere, at your own pace Professional support from dedicated instructors dedicated to online learning Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this Relationship Manager course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support We are confident that you will find the skills and information you need to succeed in this field and stand out in the eyes of others. Don't rely on poor education and half-baked upbringing. We promise to do our best. We will help you reach your full potential whenever and wherever you need it. Keep in mind that Relationship Managers provide valuable and important theoretical training to everyone. However, it does not provide an official qualification for professional practice. Be sure to check with the relevant authorities or administrators for more information. ****Course Curriculum**** Here is the curriculum breakdown of course: Module 01: Introduction to Customer Relationship Management (CRM) What is Customer Relationship Management? Why Customer Relationship Management? Commercial usages of CRM The Benefits of the Customer Value Management Approach Summary Module 02: CRM Fundamentals Defining CRM Types of CRM Misunderstandings CRM Models Customer Lifecycle Summary Module 03: CRM Strategies CRM Perspectives Functional LevelCustomer-facing Front-end LevelCompany-wide Level Elements of a CRM Strategy CRM VisionCulture of Customer OrientationIntegration and Alignment of Organizational ProcessesData and Technology SupportCRM Implementation Developing a CRM Strategy Step 1: Gaining Enterprise-Wide CommitmentStep 2: Building a CRM Project TeamStep 3: Analyzing Business RequirementsStep 4: Defining the CRM Strategy Customer Strategy Summary Module 04: Data Analysis in CRM The Perspectives of Data Analysis Tools for Data Analysis Correlation AnalysisRegression AnalysisFactor AnalysisCluster AnalysisConjoint Analysis Data Analysis Methodology Customer SegmentationRecency-Frequency-Monetary ValueLifetime Value AnalysisPredictive ModellingMarket Basket Analysis (MBA)Click Stream AnalysisPersonalisation Summary Module 05: CRM Databases Types of Databases Customer DatabaseProspect DatabaseCluster DatabaseEnhancement Database The Benefits of Marketing Databases Application of Marketing Databases Applications that Affect Customer RelationshipApplications that Affect Other Business Operations Summary Module 06: Deepening Customer Relationship Importance of Customer Acquisition and Retention Customer Acquisition The Cost of Customer Acquisition Customer Retention Reorganisation for Retaining Customers Customer Retention Marketing Strategies Summary Module 07: Communication Skills Effective Listening Skills Verbal Communication Written CommunicationOral Communication Non-Verbal Communication Communication Strategies Summary Assessment Module 08: Negotiation Techniques Basic Types of Negotiations Phases of Negotiation PreparationDevelopmentClosure Negotiation Techniques Strategies for Identifying Mutual Gain Effective Negotiation Practise Negotiation on Behalf of Others Summary Assessment Module 09: Conflict Management Definition of Conflict Benefits of Confrontation Prevention of Conflicts Anger Management Conflict Resolution Techniques ResearchPresentationTake Action Summary Assessment Module 10: Time Management Activities Planning and Prioritising Overcoming Procrastination Crisis Handling Organising Workspace to Make Better Use of Time Planning of Meetings Summary Assessment Module 11: Handling Customer Complaints Importance of Handling Customer Complaints Principles of Good Complaint Handling Getting it RightBeing Customer FocusedBeing Open and AccountableActing Fairly and ProportionatelyPutting things rightSeeking Continuous Improvement The Role of CRM in Handling Customer Complaints Summary Module 12: Future of CRM Trends Driving Change in Customer Interaction The Changing Face of CRM What is Digital CRM Digital CRM in Practice Where to Start Cyber Security Concerns Summary Assessment Process We offer an integrated assessment framework to make the process of evaluating learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Designed to provide an introduction to relationship management, this course provides an excellent opportunity to gain the critical skills and confidence to launch a successful career. It also provides access to proven educational knowledge on the subject to support those wishing to achieve their personal goals in this area. Full-time and part-time learners are equally supported and study hours are fully customizable to suit your needs. Requirements No formal qualification is required. Career path Completing the Relationship Manager Training will put your relationship management skills and knowledge to the test. This gives you an advantage in career development, applying for jobs, and on-the-job personal learning. Certificates CPD Accredited Certificate Digital certificate - £10 Diploma in Relationship Manager Training at QLS Level 4 Hard copy certificate - £99 After successfully completing the Diploma in Relationship Manager Training at QLS Level 4 course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for international delivery CPD Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery)

You've undoubtedly made decisions when you were stressed and regretted them later. We've all been there. When in high-stress situations and under pressure, we tend to make dumb mistakes. But if you are in a management position at a company or are the owner of a business, then you are always under pressure, and you can't afford dumb decisions. In this Decision Making in High Stress Situations course, you get to learn how to make the right decisions even under intense stress and pressure. You also learn how stress affects decision-making, the constant pressure traps you fall for, and how to avoid them. With the help of this Decision Making in High Stress Situations course, you will be able to make the right decisions under stressful situations, regardless of whether it's a personal situation, organisational, or to mitigate conflicts. The Decision Making in High Stress Situations course is informative and packed with step-by-step lessons on: What is Decision Making? Stress and Its Impact Time Stress and Decision Making Personal Level Decision making Under Stress Organisational Level Decision making Under Stress Decision-Making for Conflict Management Each lesson is structured, and the course is overall made in a way that answers all your Decision Making in High-Stress Situations related questions. You will get everything you need all in one place. Learn how to stay as cool as a cucumber under stress - enrol in the course now. The Decision Making in High Stress Situations course has been designed by experts, to create a rich and in-depth training experience for all the students who enrol on it. Enrol on the course now and get instant access to all Decision Making in High Stress Situations course materials. Then, enjoy the course materials online from any internet-enabled device and learn when it suits you. Start your learning journey with this course straight away and take a step forward in securing a better future! Why should you choose the Decision Making in High Stress Situations course with Academy for Health & Fitness? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Globally accepted standard structured lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the Decision Making in High Stress Situations program in your own time, at your own pace Each of our students gets full 24/7 tutor support *** Course Curriculum *** Here is the Curriculum breakdown of Decision Making in High Stress Situations Course: Module 1: What is Decision Making? This module covers the following topics: Decision Making Classifying Decision Making The Decision Making Process Key Ingredients for Effective Decisions Team Decision Making Corporate Culture and Decision-Making Module 2: Stress and Its Impact This module covers the following topics: What is Stress? Stress at Work Effects of Stress in Decision Making Various Pressure Traps Psychobiology of Stress and Health Difference between Pressure and Stress Module 3: Time Stress and Decision Making This module covers the following topics: Decision Making Under Time Stress Time Perception Models Manipulations of Time Pressure Time and Task Adaptation Adapting to Time Constraints Time Pressure in Negotiation Time Pressure in Mediation Module 4: Personal Level Decision Making Under Stress This module covers the following topics: Improving Decision Making Skills Learn How to Avoid Stress at Work Basic Models to Explain Decision Making Behaviour Under Stress Strategies that address the Cause of Stress Tips on Excellent Decision-Making Rules for Success When Stress Is High Module 5: Organisational Level Decision Making Under Stress This module covers the following topics: Overview of Decision Making Process Mechanism of Organisational Influence Individuals Role in Organisational Decision Making System Information Flow The Structure of Decision Making System Individual Approaches to Stress Management Managerial Approaches to Stress Management Organizational Approaches to Stress Management Module 6: Decision Making for Conflict Management This module covers the following topics: What is Conflict? Stages of Conflict Workplace Conflict Resolution Decision Making under Conflict and Cognitive Control Conflict Management and Decision Making Assessment Process Once you have completed all the modules in the Decision Making in High Stress Situations course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Decision Making in High Stress Situations course. Show off Your New Skills with a Certificate of Completion The learners have to complete the assessment of this course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 1: What is Decision Making? 21:13 1: Module 1: What is Decision Making? Preview 21:13 Module 2: Stress and Its Impact 15:15 2: Module 2: Stress and Its Impact 15:15 Module 3: Time Stress and Decision Making 15:17 3: Module 3: Time Stress and Decision Making 15:17 Module 4: Personal Level Decision making Under Stress 19:15 4: Module 4: Personal Level Decision making Under Stress 19:15 Module 5: Organisational Level Decision making Under Stress 11:24 5: Module 5: Organisational Level Decision making Under Stress 11:24 Module 6: Decision Making for Conflict Management 16:36 6: Module 6: Decision Making for Conflict Management 16:36 Assessment (Optional) 14:00 7: Assessment 14:00 Order Your Certificate 02:00 8: Order Your CPD Certificate 01:00 9: Order Your QLS Endorsed Certificate 01:00 Who is this course for? This Decision Making in High Stress Situations course is for people who want to quickly and easily learn about Decision Making in High-Stress Situations. Requirements There are no previous knowledge requirements for the Decision Making in High Stress Situations program; this is open to anyone! Any learning enthusiast from anywhere in the world can enrol on this course without any hesitation. All students must have a passion for learning and literacy, as well as being over the age of 16. Browse this 100% online course from any internet device, including your computer, tablet or smartphone. Study at your own pace and earn an industry Skillset with this course. Career path The course is designed to help you get the job you've always wanted, get promoted at work, go freelance, or launch your own business. You may improve your career and keep your skills up to date by taking this course with a salary range of £35,000 to £65,000 per annum in the UK. Office Manager Operations Manager Senior Manager Personal assistant Project Manager Certificates Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed

Have you ever thought about how crime investigators handle a gruesome crime scene? Did you ever want to understand the mind of a criminal? Interrogations and confessions psychology help make sense of crime, criminalisation, criminals and victims. So if you're interested in becoming an expert crime investigator while you learn about how to solve notorious cases, then this is the right course for you. Enrol today to develop skills and knowledge to drive your career forward and get ahead of the curve! This Level 3 Interrogations And Confessions Psychology course is endorsed by The Quality Licence Scheme and accredited by CPD (with 120 CPD points) to make your skill development and career progression substantial and easier than ever! The course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. This course helps make sense of crime, criminalisation, criminals and victims. Through this criminology and psychology course, you will develop an understanding of the various aspects of English Law on confessions, such as how to record confession, the concept of interrogation and the factors affecting interrogation based on the interrogation system in the UK. Moreover, throughout this Criminal Psychology course, you will go through several research and study papers to equip you with real-life experience of how complex cases have been investigated and solved. Besides, this Criminology and Psychology course prepares you to demonstrate how to evaluate and analyse confessions made by criminals and why the suspects confess about their crime at a particular time. Similarly, you will learn the tactics of conducting interviews of suspects and utilise the statistical data from the inquiry reports. On the contrary, after completing this course, you'll be able to question and develop your own beliefs and understandings about crime and harm. Please note that this course does not entitle you to join the HCPC register or recognised Practitioner Psychologists. But you will come across all the basic guidelines of Psychology to boost and shine your knowledge in this particular field of Psychology. What will I learn from this course? An overview of the English law on confession Develop the research expertise to investigate crime and criminal justice data, applying technical skills to appraise evidence carefully The interrogation system in Britain Fundamentals of the royal commission research Identify 'oppressive' police interviewing tactics in Britain Theories of the reason for confession by suspects Psychological assessment of false confession Effects of drugs and alcohol upon the reliability of testimony interrogation techniques and miscarriages of justice On top of everything, you will get a certificate that includes 120 CPD points which will help make a mark for yourself in the competitive job market. This certificate will also help create an impression of self-reliance and dedication that will surely attract prospective employers to prioritise your job application. Enrol today to open doors towards infinite career opportunities. Experts created the course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this Interrogations And Confessions Psychology course and take a step toward a brighter future! Why Prefer this Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standard-aligned lesson planning Innovative and engaging contents and activities Assessments that measure higher-level thinking and skills Complete the Interrogations And Confessions Psychology program in your own time, at your own pace Each of our students gets full tutor support on weekdays (Monday to Friday) ****Course Curriculum**** Here is the curriculum breakdown of the course: Module 1:The English Law on Confessions Police Training Manuals The Reid Technique The Format and Recording of the Confession The Context of the Interrogation How Things Can Go Wrong During Interrogation Module 2: Interrogation in Britain Irving's Studies Softley's Study Walsh's Study Research at the University of Kent Baldwin's Study Module 3: The Royal Commission Research: Persons at Risk amid Police Custody The 1993 Royal Commission Study by Gudjonsson and Colleagues Who Confesses? Detainees' Legal Rights Module 4: Identifying 'Oppressive' Police Interviewing Tactics in Britain Interview Tactics Suspects' Responses Methodological Issues Statistical Procedures Module 5: Theories of Reason of Confession by Suspects Factors Inhibiting Confession Theoretical Models of Confession How Important Are Confessions? How Commonly Do Suspects Confess? Factors Associated with Admissions and Denials Module 6: The Psychological Assessment of False Confession Definitions of False Confession The Frequency of False Confessions False, Retracted and Disputed Confessions The Innocent Pleading Guilty The Broader Context of False Confessions The Causes of False Confessions Theoretical Implications of the Different Types of False Confession Module 7: The Effects of Drugs and Alcohol Upon the Reliability of Testimony Interrogation Techniques and Miscarriages of Justice The Effects of Intoxication and Withdrawal Miscarriages of Justice Studies of Miscarriages of Justice Some Notorious British Cases Assessment Process We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. Show off Your New Skills With a Certification of Completion Endorsed Certificate of Achievement from the Quality Licence Scheme After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 89 GBP inside the UK 99 GBP (including postal fees) for international delivery Certification Accredited by CPD Upon finishing the course, you will receive an accredited certification that is recognised all over the UK and also internationally. The pricing schemes are - 10 GBP for Digital Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (international delivery) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Interrogations And Confessions Psychology Course Right for You? This course is tailored towards the student who has ambitions to work within the criminal justice system. This course allows you to combine the knowledge of criminology with modern scientific methods of psychology to understand criminal behaviours and their effects. However, this course can be enrolled by anyone of any academic background from any location in the world. Requirements The Interrogations And Confessions Psychology software does not require any prior knowledge; everyone may participate! This Interrogations And Confessions Psychology course is open to anyone who is interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This course allows you to study at your own speed and grow a quality skillset. Career path Enrolling on this course may lead you to the following career paths: Loss Prevention Officer Private Investigator Correctional Officer Jury Consultant Probation Officer Police Detective Clinical Social Worker And many more!

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

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

Ascend to the next level of Excel proficiency with our comprehensive Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course. This in-depth training will equip you with the skills to create sophisticated dashboards using advanced Excel formulas, VBA, and Power Query, empowering you to transform raw data into actionable insights. Master the art of financial modeling with our prepaid expenses models, learning how to calculate amortization schedules and create detailed summaries using Excel formulas. Delve into the power of Power Query to effortlessly manipulate and analyze large datasets, building dynamic dashboards without the limitations of formulas. Learning Outcomes Gain proficiency in creating automated dashboards using advanced Excel formulas, VBA, and Power Query Develop expertise in financial modeling using prepaid expenses models Master the calculation of amortization schedules and prepaid expenses summaries Implement Power Query to manipulate and analyze large datasets Create dynamic dashboards without the limitations of formulas Enhance your Excel skills and data analysis capabilities Why choose this Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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 Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query course for? Accounting and finance professionals seeking to enhance their Excel skills for financial modeling and dashboard creation Business analysts and data analysts aiming to expand their expertise in data manipulation and visualization Excel enthusiasts interested in mastering advanced Excel formulas, VBA, and Power Query Individuals seeking to create interactive and insightful dashboards for data-driven decision-making Anyone seeking to elevate their Excel skills and become a proficient data analyst Career path Financial Analyst (£35,000 - £55,000) Business Analyst (£40,000 - £60,000) Data Analyst (£45,000 - £65,000) Management Accountant (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Financial Analyst (£50,000 - £70,000) Prerequisites This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 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 Course Outline and Introduction 00:04:00 Minimum Requirements for the Course 00:01:00 Prepayments Introduction 00:01:00 Prepaid Expenses Models: Resources Download Month End Date Prepaid Expenses Amortization Calculation 00:00:00 Exact Prepaid Expenses Payment Date Calculation 00:00:00 Accounting for Prepaid Expenses Prepaid Expenses Accounting Definition: Prepayments 00:03:00 Prepaid Expense Example: How Accounting works for Prepayments 00:03:00 Advantages and Disadvantages of Prepaid Expenses 00:03:00 Excel Formulas Detailed: Introduction to three Excel Models Introduction to PRO Excel Models and Formulas 00:06:00 Date Function 00:05:00 EOMONTH Function 00:04:00 DATEVALUE function 00:03:00 IF Function 00:08:00 IFS Function (Office 365 Only) 00:07:00 VLOOKUP Function 00:07:00 MATCH Function 00:05:00 INDIRECT Function 00:02:00 NAMED Ranges: Name Manager 00:03:00 Advanced Version of VLOOKUP Function 00:07:00 Formula Based Prepaid Expenses Model Introduction to Model and Control Panel Tab (Important Sheet Tab) 00:08:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 1) 00:05:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 2) 00:06:00 Formula Based Prepaid Expenses Model - Deep Dive (Part 3) 00:06:00 IFS Function - Month End date Prepayment calculation 00:04:00 Prepaid Expenses - Closing Balance Summary Tab (Formula Based Summary) 00:09:00 Protecting Formulas Cells and Fields in the Model 00:04:00 Calculate Prepaid Expenses Amortisation from Exact Start Date Exact Date Prepaid Amortisation calculation Intro 00:03:00 Formulas update and Model Changes for Exact Prepaid Exps Calculation 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 1) 00:04:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 2) 00:03:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 3) 00:02:00 Formulas Update for Exact Date Prepaid Exps Amortisation (Part 4) 00:07:00 IFS Function - Exact Date Prepayments Amortisation 00:04:00 Data Validation Controls (Enhancing Data Input Controls with Protection) 00:10:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 1) 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (Part 2) 00:09:00 Additional Material: Resources 00:00:00 Prepaid Expenses Summary with Power Query and Pivot Table Power Query and Pivot Table Prepayment Summary Table Intro 00:06:00 What is Power Query and Some Awesome Resources for Power Query learning 00:07:00 Power Query and Pivot Table Summary - Deep Dive (Part 1) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 2) 00:04:00 Power Query and Pivot Table Summary - Deep Dive (Part 3) 00:05:00 Power Query and Pivot Table Summary - Deep Dive (Part 4) 00:09:00 Using Array Formulas to Add Formula Protection 00:04:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 1 00:02:00 Bonus: Allocate Prepaid Expenditure Cost Centre Wise - 2 00:08:00 Bonus: Prepayment Model with Opening Balance Calculation (PQ and PT Version) 00:13:00 Advanced VBA Prepaid Expenses Amortisation Model Changing Macros Security in Excel 00:05:00 Complete Walkthrough - Advanced VBA Prepaid Expenses Amortisation Model 00:06:00 Bonus : New Version - Excel VBA Model for Prepayment Expenditure 00:08:00 BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way Dynamic Dashboard Overview 00:07:00 Importing Profit and Loss Statements Source Files and creating YTD P&L Sheets 00:08:00 Creating Dynamic Data Validation 00:02:00 Creating Named Ranges for Dynamic Table Arrays 00:03:00 Dynamic Date Column Headings for each Divisional PL Table 00:02:00 Dynamic Month and YTD Dashboard tables headings (PRO TIP) 00:03:00 Dynamic VLOOKUP Formula - Preparing First section of the Dashboard 00:04:00 Creating Rolling Dashboard with Dynamic VLOOKUP Function 00:08:00 IMPORTANT : Error Checking for your reports/Dashboard (PRO TIP) 00:03:00 Data Prep for Visualization: AREA Charts (Awesome trick using #NA Function) 00:05:00 Visualization: AREA Charts for Month - Revenue, Gross Profit and Net Profit 00:05:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 1) 00:03:00 Visualization DONUT Charts Revenue, Gross Profit and Net Profit (Part 2) 00:06:00 Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic Introduction - Formula-less Dashboard - Fully Dynamic and easily refreshed 00:05:00 Understanding the data files before building dashboard 00:02:00 Consolidating Reports with Power Query (Get & Transform) , How to install PQ 00:08:00 Dynamic File Path Trick in Power Query with Parameters (Amazing trick) 00:06:00 Conditional Cumulative totals with SUMIFS Function 00:04:00 Bonus: Conditional Cumulative totals with Power Query Custom Formula (M Code) 00:06:00 Dashboard Creation - Pivot Table showing Month and YTD KPIs division wise 00:06:00 Dashboard Creation Donuts Charts linked with Pivot Table (Replicate Charts fast) 00:08:00 Dashboard Creation - Line Charts 00:08:00 Update Dashboard with Additional Divisional Data with Few Click (Magical) 00:03:00 Thank you Thank you 00:02:00 Ultimate Prepaid Expenditure Model (Super Bonus) 00:02:00 Resources Resources - Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query 00:00:00 Assignment Assignment - Microsoft Excel: Automated Dashboard Using Advanced Formula VBA Power Query 00:00:00

Take your most significant steps to help people break free from addiction. This Diploma in Addiction Therapy and Psychology course will enhance your knowledge of addiction therapy and psychology.  In this Diploma in Addiction Therapy and Psychology course, you'll discover the psychological approaches to addiction treatment. The course will thoroughly introduce you to the psychological models and theories of addiction. On top of that, you'll gain valuable insights into counselling and therapy to help addicted individuals. The course will also teach you about alcohol and drug issues in the workplace. Finally, you'll explore the must-have skills to become an addiction counsellor.    Learning Outcomes Familiarise yourself with the addiction theories Learn about the psychological model of addiction Enrich your knowledge of addiction treatments Determine the purpose of alcohol and drug education Understand the role of a counsellor in addiction recovery   Who is this Course for? Anyone interested in learning the fundamentals of addiction treatment and psychology can take this Diploma in Addiction Therapy and Psychology Course. The in-demand skills and knowledge gained from this training will help learners with tremendous career opportunities in the relevant field.    Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of the English language, numeracy, and ICT skills are required to take this course.   Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. The PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days.   Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognised accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email.   Career Path The Diploma in Addiction Therapy and Psychology Course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Addiction Counsellor Nurse Health Counsellor About Promo Video FREE 00:02:00 Introduction: About instructor & the course 00:02:00 Theories of Addiction The Moral Model 00:06:00 The Psychological Model 00:07:00 The Medical / Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:05:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:09:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:06:00 Alcohol- and drug related issues in the workplace 00:05:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:07:00 Al-Anon 00:05:00 The Intervention Approach 00:05:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:04:00 Counselling / 'helping' skills 00:04:00 Certification Order Your Certificate 00:00:00

Maya for Absolute Beginners is a comprehensive course that introduces students to the fundamental concepts of 3D modeling, unwrapping, texturing, and lighting using Autodesk Maya. The course provides step-by-step guidance on creating a detailed diorama featuring a Mushroom House, plants, corals, rocks, and grass. Learning Outcomes: Understand the basic modeling process and learn to navigate Maya's interface and tools effectively. Create a detailed 3D diorama, including modeling a Mushroom House, plants, corals, rocks, and grass. Learn the process of unwrapping 3D models and applying textures through texture painting techniques. Gain knowledge of lighting and rendering to bring the diorama model to life in a visually appealing way. Why buy this Maya for Absolute Beginners? 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 Maya for Absolute Beginners 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 Maya for Absolute Beginners 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 Maya for Absolute Beginners does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Maya for Absolute Beginners 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 Maya for Absolute Beginners is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Introduction Introduction 00:01:00 Modeling Process Reference And Concept 00:02:00 Basic Tools And Interface 00:07:00 Importing Concept Into Maya 00:08:00 Creating The Base 00:16:00 Mushroom House Part-1 00:11:00 Mushroom House Part-2 00:09:00 Modeling The Door 00:11:00 Modeling Remaining Mashrooms 00:18:00 Modeling The Plant 00:17:00 Modeling The Corals 00:17:00 Modeling The Rocks And Grass 00:09:00 Finishing Up The Modeling 00:06:00 Unwrapping Process Unwraping The Model Part-1 00:13:00 Unwraping Mushroom Models-2 00:06:00 Unwrapping The Model Part-3 00:08:00 Unwrapping The Model Part-4 00:09:00 Texturing Process Texture Painting Part-1 00:08:00 Creating Texture And Alpha Channel For The Plant 00:09:00 Texture painting Part-3(Time lapse) 00:17:00 Texture painting Part-4(Time lapse) 00:07:00 Assigning materials and textures to models 00:15:00 Lighting and rendering Lighting and rendering the diorama model 00:36:00 Downloadable Resource Resource - Maya for Absolute Beginners 00:00:00

This practical training course is designed to provide learners with an in-depth understanding of business analysis, change management and continuous business improvement. It asks the fundamental questions, 'What is the role of a business analyst? 'What skills must you possess to work in this field?', 'What are the steps in successful business analysis?' and much more. Whether you're new to the industry or want to update your skills, our experienced tutor will guide you every step of the way. From the key to successful business planning and monitoring to tips on how to create a winning business strategy, all the valuable industry knowledge you need to fast track your career is packed into this best-selling course. Learning Objectives: Learn about the core competencies and skills required to become a business analyst Identify the different careers in business analysis and explore your opportunities Understand how a business strategy is developed and what should be included in it Familiarise with the core concept model in business analysis planning and monitoring Explore the future of business analysis and business analysis technologies Demonstrate a solid understanding of business analysis tools and techniques Know how to evaluate solution performance in a business environment Have a solid understanding of change management principles in business analysis Be able to identify business analysis performance improvements Who is This Course for? This diploma course in Business Analysis is suitable for aspiring professionals who are looking to take the first steps in their career, who wish to develop the skills to support crucial business change. Our online courses are specially designed for distance learning, offering flexible virtual classroom modules that you can study at your own convenience. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the course. Good understanding of English language, numeracy and ICT are required to attend this course. Certificate of Completion from Course Gate At the successful completion of the course, the learners may order the Certificate of Completion from Course Gate (soft copy) by paying only £2. For the Printed hard copy of the certificate, the learners have to pay £9. Career Path On successful completion, learners will be equipped with the skills and knowledge to become qualified business analysts, with the opportunity to work in a range of sectors and industries, including finance, tech and project management. The typical salary range for a business analyst is £60-90,000, with the potential to work your way up to chief technology officer or become a consultant. Course Curriculum Module 01: What is Business Analysis? What is Business Analysis? 00:10:00 Assessment Module 1 Module 01 Final Quiz Exam - Business Analysis 00:10:00 Module 02: Breaking Down the Different Levels of Business Analysis Breaking Down the Different Levels of Business Analysis 00:10:00 Assessment Module 2 Module 02 Final Quiz Exam - Business Analysis 00:10:00 Module 03: Business Analysis Key Concepts Business Analysis Key Concepts 00:05:00 Assessment Module 3 Module 03 Final Quiz Exam - Business Analysis 00:10:00 Module 04: Business Analysis Planning and Monitoring Business Analysis Planning and Monitoring 00:10:00 Assessment Module 4 Module 04 Final Quiz Exam - Business Analysis 00:10:00 Module 05: Elicitation and Collaboration Elicitation and Collaboration 00:10:00 Assessment Module 5 Module 05 Final Quiz Exam - Business Analysis 00:10:00 Module 06: Requirements Life Cycle Management Requirements Life Cycle Management 00:15:00 Assessment Module 6 Module 06 Final Quiz Exam - Business Analysis 00:10:00 Module 07: Strategy Analysis Strategy Analysis 00:15:00 Assessment Module 7 Module 07 Final Quiz Exam - Business Analysis 00:10:00 Module 08: Requirements Analysis and Design Definition Requirements Analysis and Design Definition 00:15:00 Assessment Module 8 Module 08 Final Quiz Exam - Business Analysis 00:10:00 Module 09: Solution Evaluation Solution Evaluation 00:10:00 Assessment Module 9 Module 09 Final Quiz Exam - Business Analysis 00:10:00 Module 10: Investigation Techniques Investigation Techniques 00:00:00 Assessment Module 10 Module 10 Final Quiz Exam - Business Analysis 00:10:00 Module 11: Develop Your Business Analysis Skills Develop Your Business Analysis Skills 00:15:00 Assessment Module 11 Module 11 Final Quiz Exam - Business Analysis 00:10:00 Module 12: Future Career Path and Scope of A Business Analyst Future Career Path and Scope of A Business Analyst 00:10:00 Assessment Module 12 Module 12 Final Quiz Exam - Business Analysis 00:10:00 Order Your Certificate

Embark on a journey into the realm of digital artistry with our course, 'Create Amazing Dioramas in Maya'. This educational adventure unfolds through an expertly crafted curriculum, guiding enthusiasts in transforming their artistic visions into breathtaking 3D dioramas. The first section immerses you in the modeling process, where the foundation of your digital masterpiece is sculpted. As the course progresses, unravel the mysteries of the unwrapping process, a crucial step to ensuring that your models are perfectly prepared for texturing. With skills sharpened, delve into the intricate world of texturing, bringing your creations to life with stunning realism. The final chapter of this artistic odyssey illuminates the nuances of lighting and rendering, equipping you with the skills to showcase your diorama in the best possible light. Learning Outcomes: Master the fundamentals of 3D modeling, gaining proficiency in creating complex structures. Acquire expertise in the unwrapping process, essential for effective texturing. Develop a keen eye for detail through advanced texturing techniques. Enhance your artistic vision with proficient use of lighting and rendering tools. Cultivate the ability to produce professional-grade dioramas, suitable for various applications. Why buy this Create Amazing Dioramas in Maya? 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 Create Amazing Dioramas in Maya 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? Digital art enthusiasts seeking to elevate their 3D modeling skills. Individuals aspiring to a career in game development or animation. Creative professionals in advertising or film industries looking to diversify their skillset. Hobbyists interested in creating digital art for personal projects. Students pursuing degrees in digital arts, animation, or related fields. Prerequisites This Create Amazing Dioramas in Maya does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Create Amazing Dioramas in Maya 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 3D Artist: £25,000 - £40,000 Per Annum Game Developer: £30,000 - £50,000 Per Annum Visual Effects Artist: £27,000 - £55,000 Per Annum Animator: £24,000 - £40,000 Per Annum Art Director: £35,000 - £60,000 Per Annum Freelance Digital Artist: Variable, depending on projects and experience Course Curriculum Section 01: Modeling Process Reference and concept 00:02:00 Basic tools and Interface 00:07:00 Importing concept into Maya 00:08:00 Creating the base 00:16:00 Mushroom House Part-1 00:11:00 Mushroom House Part-2 00:09:00 Modeling the door 00:11:00 Modeling remaining mushrooms 00:18:00 Modeling the plant 00:00:00 Modeling the corals 00:17:00 Modeling the rocks and grass 00:09:00 Finishing up the modeling 00:06:00 Section 02: Unwrapping Process Unwrapping the model Part-1 00:13:00 Unwrapping Mushroom models 00:06:00 Unwrapping the model Part-3 00:08:00 Unwrapping the model Part-4 00:09:00 Section 03: Texturing Process Texture painting Part-1 00:08:00 Creating Texture and alpha channel for the plant 00:09:00 Texture painting Part-3 (Time lapse) 00:17:00 Assigning materials and textures to models 00:15:00 Section 04: Lighting and Rendering Lighting and rendering the diorama model 00:36:00 Assignment Assignment - Create Amazing Dioramas in Maya 00:00:00