201 Analytical Skills courses

These sessions are created for students eager to explore more complex texts and refine their analytical skills. Students will enhance their ability to critically evaluate literature, comparing themes and characters across a wide range of texts. They'll advance their creative and non-fiction writing, taking it to the next level by focusing on sophisticated language use and technical accuracy. through engaging discussions around fascinating topics, such as moral issues and social contexts, students will develop their oral communication. The overall aim of thios course is to deepen their love of language in an enjoyable environment. 6 children maximum fully interactive weekly 55 minute lessons qualified, expert teacher optional homework set weekly additional resources set via online classroom lesson recordings for absent students written progress reports three times per year Classes are £90 per month. Variety of times and dates available. Enquire to find out more!

Identifying learning and training needs, designing and sourcing training and learning solutions, delivering and evaluating training.

Elevate your stock trading skills with our comprehensive Diploma course. Learn proven strategies, technical analysis, and risk management for professional success in the market.

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

Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD UK & Quality License Scheme Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want This Forensic Psychology and Criminology course is the perfect place to discover the thrilling world of the criminal mind and understand the dynamics of criminal behaviour. Where you will develop critical analytical skills and contribute to the truth and justice in criminal Investigation. This course at a glance Eligible to apply for the insurance Accredited by International Practitioners of Holistic Medicine (IPHM) Accredited by CPD UK Endorsed by Quality Licence Scheme Learn what is forensic psychology and its history Understand critical evaluation of psychological research Understand the theories of sexual offending, violent offending, and fire-setting behaviour Learn the personal attributes of offenders Learn who are personality disordered offenders and psychopathic offenders Understand what is mental illness and offending Get to know about offender profiling, approaches to offender profiling, and its effectiveness Understand what is an eye-witness testimony, expert witness testimony, and what are different attitudes toward victims Know the interventions to reduce the risk of re-offending Why Forensic Psychology and Criminology Course right for you? Forensic psychology and criminology is a relatively new addition to the field of psychology and therefore has a considerable demand for potential forensic psychologists who have the ability to bridge the gap between the science of human behaviour and crime. If you are looking forward to starting your career as a forensic psychologist or aim to expertise in offering professional help with regard to judicial matters concerning forensic psychology, this comprehensive online forensic psychology and criminology course is for you. This online forensic psychology and criminology course will teach you forensic psychological practices, principles, research methods, theories of offending, and personal attributes of offenders. This forensic psychology and criminology course for beginners online is suitable for those who want to understand how investigations, research studies, or assessments play a pivotal role in criminal psychology. This course will train you to conduct a psychological assessment of offenders through their personal attributes and prominent characteristics. You will have a solid understanding of forensic psychology applications, approaches, types of offenders, and interventions. Upon successful completion of this Forensic Psychology and Criminology Course Online, you will be equipped with extensive knowledge and research skills to practise forensic psychology. This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example, progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.  Forensic Psychology and Criminology Course Details Accredited by International Practitioners of Holistic Medicine (IPHM) is a leading accredited organisation that certifies and regulates alternative therapists, healers, and training providers around the world. After completing the IPHM accredited course you will be eligible to apply for the insurance.   CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.   The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Course Curriculum Introduction Introduction: About the Course and the Tutor History of Development of Forensic Psychology Research Methods in Forensic Psychology Research Methods in Forensic Psychology Critical Evaluation of Psychological Research Theories of Offending Introduction to Theories of Offending Theories of Sexual Offending Theories of Violent Offending Theories of Fire-setting Behaviour Personal Attributes of Offenders Personal Characteristics of Offenders Personality Disordered Offenders Psychopathic Offenders Mental Illness and Offending Forensic Psychology in Police Investigations An Introduction to Offender Profiling Approaches to Offender Profiling The Effectiveness of Offender Profiling Forensic Psychology in the Courtroom Eye-witness Testimony Expert Witness Testimony Attitudes Towards Victims Forensic Psychology in Practice 'What Works' Literature in Reducing Re-offending Interventions to Reduce Risk of Re-offending Incident management (Crisis Negotiation) Who should take this course? This forensic psychology and criminology course online is primarily aimed at: Forensic Doctors Forensic Psychologist Aspiring Forensic Psychologist Students of Psychology Anyone who works in criminal or forensic settings This training is, however, not restricted to a particular profession or field of endeavour. It may also be beneficial to a larger audience interested to learn more about criminal psychology and forensic studies. Entry Requirements There are no academic entry requirements for this forensic psychology and criminology course, and it is open to students of all academic backgrounds. However, you are required to have a laptop/desktop/tablet or smartphone and a good internet connection. Assessment Method This forensic psychology and criminology course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. You should also check out one of our popular Crime Psychology & Criminology Course Online and gain a deeper understanding of the criminal mind and the criminal justice system, while developing skills in forensic psychology and profiling techniques. Certification Endorsed Certificate from Quality Licence Scheme After successfully passing the MCQ exam you will be eligible to order the Endorsed Certificate by Quality Licence Scheme. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. It will give you a competitive advantage in your career, making you stand out from all other applicants and employees. There is a Quality Licence Scheme endorsement fee to obtain an endorsed certificate which is £65. Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs What Is Criminal Psychology? Criminal psychology, often known as forensic psychology, is a field that combines psychological and criminological principles to better understand criminal behaviour and motivations. It sheds light on illegal activity and aids in the investigation of crimes. What is criminology? Criminology is an area of study that examines criminal behaviour and crime. It is based on principles from sociology and other fields like economics, psychology, anthropology, and statistics. How Long Is A Criminology Course? The length of a criminology course can vary depending on the level of education and the institution offering the program. The undergraduate program usually takes three to four years to complete as a bachelor's degree and postgraduate courses take one to two years of full-time study. And if you want to pursue a doctoral degree as in a PhD, it can take around three to six years to complete. Is a Criminology Course Hard? A major in Criminology is difficult because it involves knowledge of various topics. It is the study of crime, from its causes to its prevention. It also necessitates an understanding of the law, criminal history, social science theories and concepts and so on. How much money do criminal psychologists make in the UK? Forensic psychologists in the UK make an average of £48,711 per year, with starting salaries of around £43,000, and the highest earners making up to £62,001 annually. Is Criminal Psychology A Good Career? This psychology can be a rewarding and fulfilling career for individuals interested in both psychology and justice. It can open diverse career paths for you including the law enforcement sector, counselling, psychology, victim support and research institutions. In case you want to pursue a career as a psychology teacher, then you must read this How to become a psychology teacher blog to progress your knowledge.

Master Globalization and the Global Economy 🌍💡 Discover the forces driving our interconnected world in this live online course. Explore the interplay of politics and economics through key theories, global trade, finance, and governance. Perfect for aspiring policymakers, business leaders, and global thinkers—enroll today to unlock the skills to navigate the global political economy!

This course offers a dynamic introduction to Globalization and the Global Political Economy (GPE), exploring the intricate relationship between political actors and the global economic marketplace. Through a theoretically rich and historically grounded lens, you’ll examine the development, operations, and future trajectory of the global political economy. You’ll learn to apply diverse theoretical frameworks to critically analyze global economic processes. The course begins with an in-depth look at foundational GPE perspectives—mercantilism, liberalism, and structuralism—each built on distinct assumptions that shape our understanding of global economic events. From there, we’ll investigate the international "structures" of production, trade, finance, and knowledge, addressing critical questions: Who controls these structures, and to what end? What rules govern international trade? How do institutions like the IMF, World Bank, and multinational corporations shape global flows of goods and investment? Who benefits from controlling knowledge? The course culminates with an exploration of 21st-century global governance, highlighting the rise of new economic and political power centers and their evolving roles in the world. The course concludes with an exploration of 21st-century global governance, spotlighting the emergence of new economic and political power centers, such as BRICS, and their evolving roles in the world. We’ll also examine how the United States under Donald Trump shifted from traditional liberal internationalism toward more transactional and bilateral approaches, reshaping global relationships and challenging established norms Learning Outcomes By the end of this course, you will be able to: Analyze the major political themes in the historical evolution of the international economy. Understand debates surrounding the emergence and impacts of a globalized economy, including patterns of inequality. Evaluate key GPE theories and perspectives in both historical and contemporary contexts. Apply theoretical insights to explain the causes and effects of international trade, capital flows, monetary relations, and globalization debates. Recognize the vital role of human and environmental security in political economy studies. Demonstrate strong analytical and critical thinking skills when assessing political phenomena. Why Study Global Political Economy? Global Political Economy (GPE), also known as International Political Economy (IPE), untangles the complex interplay between global politics and economics. It’s an ideal field for anyone eager to understand how international policies, trade, finance, and institutions shape the world’s economic landscape. Whether you’re aiming for a career in policymaking, international relations, or a related field, this course equips you with essential tools to navigate the complexities of the global economic system and its profound influence on our world. Who Should Take This Course? This course is perfect for professionals, academics, and students interested in international relations, the global economy, or related disciplines. Whether your focus is policymaking, economic analysis, or global studies, you’ll gain valuable insights and analytical skills to deepen your understanding. Take the Next Step Don’t miss out—register today to secure your spot and immerse yourself in the fascinating world of globalization and political economy!

Particle Physics Course Overview This Particle Physics course offers a comprehensive introduction to the fundamental constituents of matter and the forces governing their interactions. Learners will explore the nature of elementary particles, the structure of the atomic nucleus, and the principles behind nuclear physics. The course also covers the technology behind particle accelerators and radiation detectors, providing insight into modern experimental methods. By completing this course, learners will gain a solid understanding of the Standard Model of particle physics and the key concepts that underpin contemporary physics research. This knowledge will equip students with the theoretical and analytical skills essential for further study or careers in physics, research, and related scientific fields. Course Description Delving deeply into the world of subatomic particles, this course covers the classification and properties of elementary particles, the composition and behaviour of atomic nuclei, and the foundational aspects of nuclear physics. Learners will study the design and function of particle accelerators and radiation detectors, essential tools in particle physics experiments. The course elaborates on the Standard Model, explaining its role in unifying particle interactions and forces. Through engaging lectures and detailed explanations, students will develop critical thinking and analytical skills necessary to understand cutting-edge physics. Suitable for those with a keen interest in physics, the course fosters a clear understanding of complex concepts and prepares learners for advanced academic or professional pathways within scientific research and technology sectors. Particle Physics Curriculum Module 01: Introduction to Particle Physics Module 02: Elementary Particles Module 03: The Nucleus Module 04: Nuclear Physics Module 05: Particle Accelerators Module 06: Radiation Detectors Module 07: The Standard Model (See full curriculum) Who is this course for? Individuals seeking to understand the fundamental principles of particle physics. Professionals aiming to develop their knowledge for careers in physics or scientific research. Beginners with an interest in the composition of matter and the universe. Students preparing for advanced study in physics or related scientific disciplines. Career Path Research Scientist in Particle or Nuclear Physics Laboratory Technician in Physics or Engineering Science Communicator or Educator specialising in Physics Technical Specialist in Particle Accelerator Facilities Analyst in High-Energy Physics or Related Industries

Course Overview: "Financial Ratio Analysis for Business Decisions" equips learners with essential tools to analyse financial statements effectively, enabling better business decision-making. The course introduces key financial ratios such as profitability, return, liquidity, and operational ratios, providing valuable insights into a company's financial health. By understanding these ratios, learners can evaluate business performance, assess risks, and make informed decisions in various business contexts. The course is designed to enhance the financial acumen of professionals across sectors, equipping them with the analytical skills needed to drive strategic decisions and improve financial outcomes. Learners will gain a comprehensive understanding of how financial ratios influence corporate strategy, with an emphasis on real-world application in business operations and decision-making. Course Description: This course covers a range of financial ratios essential for making informed business decisions. Learners will explore profitability ratios, return ratios, liquidity ratios, and operational analysis, learning how to interpret and use these metrics to evaluate a company's performance. The curriculum also delves into identifying potential financial manipulations and understanding how these impact decision-making. By completing the course, learners will gain a solid understanding of financial ratio analysis and its role in assessing the strengths and weaknesses of an organisation's financial health. The course is designed for professionals across industries looking to enhance their financial literacy and analytical skills, preparing them to make confident, data-driven decisions. Learners will benefit from structured content, expert-led discussions, and industry-specific case studies that help contextualise theoretical concepts. Course Modules: Module 01: Introduction Overview of Financial Ratios Importance of Ratio Analysis in Decision-Making Key Terminology and Definitions Module 02: Profitability Understanding Profit Margin Ratios Gross Profit Margin Net Profit Margin Return on Assets (ROA) and Return on Equity (ROE) Module 03: Return Ratio Definition and Importance of Return Ratios Return on Investment (ROI) Economic Value Added (EVA) Evaluating Business Performance Module 04: Liquidity Ratio Importance of Liquidity Ratios in Business Current Ratio Quick Ratio Cash Flow Analysis Module 05: Operational Analysis Efficiency Ratios Asset Turnover Inventory and Receivables Management Module 06: Detecting Manipulations And Making Other Operational Decisions Identifying Financial Statement Manipulations Fraud Detection Techniques Making Operational Decisions Based on Financial Data (See full curriculum) Who is this course for? Individuals seeking to improve their financial decision-making skills. Professionals aiming to enhance their understanding of financial performance metrics. Beginners with an interest in business finance and financial analysis. Business analysts and managers looking to gain deeper insights into financial health. Career Path: Financial Analyst Business Analyst Investment Analyst Finance Manager Management Consultant Risk Manager Corporate Strategy Analyst

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support