2859 Intelligence courses delivered Online

Do you want to master the essential mathematical skills for data science and machine learning? Do you want to learn how to apply statistics and probability to real-world problems and scenarios? If yes, then this course is for you! In this course, you will learn the advanced concepts and techniques of statistics and probability that are widely used in data science and machine learning. You will learn how to describe and analyse data using descriptive statistics, distributions, and probability theory. You will also learn how to perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data. You will gain hands-on experience with practical exercises and projects using Python and R. Learning Outcomes By the end of this course, you will be able to: Apply descriptive statistics, distributions, and probability theory to summarise and visualise data Perform hypothesis testing, regressions, ANOVA, and machine learning algorithms to make predictions and inferences from data Use Python and R to implement statistical and machine learning methods Interpret and communicate the results of your analysis using appropriate metrics and visualisations Solve real-world problems and scenarios using statistics and probability Why choose this Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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 Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 course for? This course is for anyone who wants to learn the advanced concepts and techniques of statistics and probability for data science and machine learning. This course is suitable for: Data scientists, machine learning engineers, and analysts who want to enhance their skills and knowledge Students and researchers who want to learn the mathematical foundations of data science and machine learning Professionals and managers who want to understand and apply data-driven decision making Hobbyists and enthusiasts who want to explore and learn from data Anyone who loves statistics and probability and wants to challenge themselves Career path Data Scientist (£35,000 - £55,000) Machine Learning Engineer (£40,000 - £60,000) Statistician (£35,000 - £55,000) Data Analyst (£40,000 - £60,000) Business Intelligence Analyst (£45,000 - £65,000) Senior Data Analyst (£50,000 - £70,000) Prerequisites This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £135 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Section 01: Let's get started Welcome! 00:02:00 What will you learn in this course? 00:06:00 How can you get the most out of it? 00:06:00 Section 02: Descriptive statistics Intro 00:03:00 Mean 00:06:00 Median 00:05:00 Mode 00:04:00 Mean or Median? 00:08:00 Skewness 00:08:00 Practice: Skewness 00:01:00 Solution: Skewness 00:03:00 Range & IQR 00:10:00 Sample vs. Population 00:05:00 Variance & Standard deviation 00:11:00 Impact of Scaling & Shifting 00:19:00 Statistical moments 00:06:00 Section 03: Distributions What is a distribution? 00:10:00 Normal distribution 00:09:00 Z-Scores 00:13:00 Practice: Normal distribution 00:04:00 Solution: Normal distribution 00:07:00 Section 04: Probability theory Intro 00:01:00 Probability Basics 00:10:00 Calculating simple Probabilities 00:05:00 Practice: Simple Probabilities 00:01:00 Quick solution: Simple Probabilities 00:01:00 Detailed solution: Simple Probabilities 00:06:00 Rule of addition 00:13:00 Practice: Rule of addition 00:02:00 Quick solution: Rule of addition 00:01:00 Detailed solution: Rule of addition 00:07:00 Rule of multiplication 00:11:00 Practice: Rule of multiplication 00:01:00 Solution: Rule of multiplication 00:03:00 Bayes Theorem 00:10:00 Bayes Theorem - Practical example 00:07:00 Expected value 00:11:00 Practice: Expected value 00:01:00 Solution: Expected value 00:03:00 Law of Large Numbers 00:08:00 Central Limit Theorem - Theory 00:10:00 Central Limit Theorem - Intuition 00:08:00 Central Limit Theorem - Challenge 00:11:00 Central Limit Theorem - Exercise 00:02:00 Central Limit Theorem - Solution 00:14:00 Binomial distribution 00:16:00 Poisson distribution 00:17:00 Real life problems 00:15:00 Section 05: Hypothesis testing Intro 00:01:00 What is a hypothesis? 00:19:00 Significance level and p-value 00:06:00 Type I and Type II errors 00:05:00 Confidence intervals and margin of error 00:15:00 Excursion: Calculating sample size & power 00:11:00 Performing the hypothesis test 00:20:00 Practice: Hypothesis test 00:01:00 Solution: Hypothesis test 00:06:00 T-test and t-distribution 00:13:00 Proportion testing 00:10:00 Important p-z pairs 00:08:00 Section 06: Regressions Intro 00:02:00 Linear Regression 00:11:00 Correlation coefficient 00:10:00 Practice: Correlation 00:02:00 Solution: Correlation 00:08:00 Practice: Linear Regression 00:01:00 Solution: Linear Regression 00:07:00 Residual, MSE & MAE 00:08:00 Practice: MSE & MAE 00:01:00 Solution: MSE & MAE 00:03:00 Coefficient of determination 00:12:00 Root Mean Square Error 00:06:00 Practice: RMSE 00:01:00 Solution: RMSE 00:02:00 Section 07: Advanced regression & machine learning algorithms Multiple Linear Regression 00:16:00 Overfitting 00:05:00 Polynomial Regression 00:13:00 Logistic Regression 00:09:00 Decision Trees 00:21:00 Regression Trees 00:14:00 Random Forests 00:13:00 Dealing with missing data 00:10:00 Section 08: ANOVA (Analysis of Variance) ANOVA - Basics & Assumptions 00:06:00 One-way ANOVA 00:12:00 F-Distribution 00:10:00 Two-way ANOVA - Sum of Squares 00:16:00 Two-way ANOVA - F-ratio & conclusions 00:11:00 Section 09: Wrap up Wrap up 00:01:00 Assignment Assignment - Statistics & Probability for Data Science & Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Now that the course has started verifications will take place every Tuesday and access granted to the module at this point. If the booking is received after 12pm on a Tuesday access will be granted the following week. 2025 is the 80th anniversary of the end of the Second World War – a conflict that defined the twentieth century and still has an influence on relationships and attitudes today. In this course we welcome academics from institutions across the UK and abroad to contribute to a series of lectures and discussions on aspects of the Second World War. This is not a course about battles but rather about how people engaged with the conflict in different regions, exploring political motivations, cultural responses and social impacts and legacies. Sessions include:  25 February - Fascism in flames: Italy at war, 1940-1943 | Dr Alexander Henry 4 March - Imperial defence and relations in the interwar period, c.1930-1939 | Dr Adam Dighton 11 March - The British Empire at war, 1939-1945 | Dr Adam Dighton 17 March - We can’t stand by and do nothing’: the lives and work of Britain’s conscientious objectors during the Second World War | Dr Linsey Robb 25 March - Propaganda in Nazi Germany during the Second World War | Dr Paul Moore 1 April - The aftermath of war: Allied occupation and displaced persons in post-war Europe | Dr Samantha Knapton 8 April – Samurai Nation: Global Views of Japan from the 1890s to the Second World War | Dr Oleg Benesch 22 April - War and Crime: Britain, 1939-1954 | Dr Mark Roodhouse 29 April - Blood for Blood! Death for Death!” The Soviet Partisans and the Great Patriotic War 1941-45 | Professor Mark Sandle 6 May - Economic intelligence ignored: The road to the Pacific War | Dr Satona Suzuki 15 May - Air power, technology and war | Dr John D Buckley 21 May - Music as Propaganda: A Case Study of Nazi Germany and Soviet Russia During the Second World War | Dr Percy Leung The course also features two workshop sessions to discuss your learning with other course participants. All sessions will take place from 7.30-9.00pm. This course is free to all HA members, and available for a small charge to non-members. Access to the course will be via the HA website once your booking is verified, you will be contacted via email once this is complete. The introductory session will take place on 25 February. Further information can be found on our course page here.

Duration 5 Days 30 CPD hours This course is intended for The audience includes implementers, developers, system administrators, project teams, database administrators and engine project technical teams. The audience also includes consultants that are looking to gain an understanding of Maximo Asset Management 7.6.0.x and the engine. Overview After completing this course, you should be able to perform the following tasks: List the components of Tivoli's process automation engine Understand Maximo modules and applications Understand Tivoli's Process Automation Engine Create the foundation data necessary for Maximo Asset Management Customize the engine database and applications Automate IBM Service Management applications using workflows Use the Maximo Work Centers Use the Integration Framework to import and export data This course is designed for anyone planning to use Maximo Asset Management and Tivoli?s process automation engine with one of the IBM System Management (ISM) products. It is a course that introduces you to the features and functions of both products. IBM Maximo Asset Management Overview This unit focuses on Maximo as an overall product and how Maximo assists companies with their asset management lifecycle. Tivoli Process Automation Engine This unit describes the functions of Tivoli?s process automation engine and introduces the products that are based on the engine. This unit also introduces Start Centers and basic navigation. Architecture and components This unit covers the architecture of Tivoli?s process automation engine. The various components that make up the system are described. The unit will address Java EE servers and the basic use of WebSphere© as it relates to the engine. The unit then covers the organization of the administrative workstation and system properties. The unit briefly describes the setup of the system for using attachments. Foundation Data This unit covers the creation of foundation data for Tivoli?s process automation engine. The foundation data is the software constructs that are necessary in the basic configuration of the product. These constructs include organizations, sites, locations, classifications, and various engine financial configurations. Security Security addresses the need to protect system resources from unauthorized access by unauthenticated users. Resources in the system are protected by Authentication and Authorization. Database architecture This unit illustrates the possible database configurations using the Database Configuration application. It also presents specific command lines that you can run to configure the changes made on the attributes of business objects using the Database Configuration application. Work Management Work Management is a collection of components and products that work together to form a powerful process and work management system. This unit provides a look at work management and focuses on using Work Management to generate, process, and complete work orders. Customizing an application This unit provides an overview of the Application Designer and Migration Manager. You will learn how to change, duplicate and create applications. You will learn the process to move from development, integration testing, user acceptance testing and moving to production. Automation This unit provides a high-level overview of key automation application programs and their functionality. It describes cron tasks, which are used to automate jobs in the system. The unit then discusses various communication tools in the system such as Communication Templates and the E mail Listener application. Finally, automated means of notification using escalations and actions are covered. Workflow This unit focuses on workflow. You learn about the Workflow Designer and its tools. You also learn how to modify an existing workflow and how to manage the included workflows. Reporting This unit provides an overview of the data analysis and reporting options that you can use in the system to analyze data. You create query by example (QBE) reports, result sets, key performance indicators (KPI), and query-based reports (QBRs). Students can optionally review Appendix A to learn how to create a simple enterprise report using Business Intelligence Reporting Tools (BIRT) designer. This report provides an example of how developers create more complex, widely used reports for users. Integration Framework In this unit, a high-level overview of the Integration Framework is provided. The Integration Framework architecture and components are described and basic configuration steps are described. The configuration and steps for loading and exporting data to and from the system are covered. You have the opportunity to practice them also. Budget Monitoring This unit provides information on a new feature introduced in Maximo 7.6.0.8, the Budget Monitoring application. In this application, you can create budget records to monitor transactions in a financial period. Inspection Tools and Tasks This unit introduces the new Inspection application. You can use the Inspections tools to create online inspection forms by using your desktop computer or laptop, and you can use the forms to complete an inspection by using your desktop computer, laptop, or tablet. Troubleshooting This unit focuses on troubleshooting as a systematic approach to solving a problem. The goal is to determine why something does not work as expected and to resolve the problem. It discusses the configuration of logging in the application. It also covers basic troubleshooting techniques, some important component logs, and information about obtaining help from Tivoli Support. Additional course details: Nexus Humans U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the U5TR712 - IBM Maximo Asset Management - System Administration and Development v7.6x course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Are you intrigued by how speech recognition is driving the growth of the AI market? This course is a reliable guide if you're looking to pursue a career as a speech recognition professional and understand industry best practices.

Your ability to think is probably your greatest asset at work. Everything you say and do will be touched in some way by what is going on in your mind. Most certainly, performance and achievements are a direct function of your thinking abilities. This course looks at the skills of mental agility, conceptual and analytical thinking. Together, these skills allow you to conceive and form ideas in a practical sense and draw the right conclusions.

Understanding neurodevelopmental conditions is more important now than ever before. This CPD-accredited 3-course bundle provides in-depth insight into ADHD, Child Language Disorder (CLD), and Autism at Level 3, allowing learners to gain a strong grasp of how these conditions affect behaviour, communication, and development. Whether you're a teacher, parent, carer, or work within health, education, or social care, this online course collection offers expert knowledge in an accessible, flexible format. The ADHD Awareness course introduces the nature of attention difficulties and how they present across ages. The CLD course explores the complexities behind language development in children, while the Autism course helps build understanding around traits and support strategies. With zero fluff and all substance, these courses are designed to support professional development with clarity, relevance, and a touch of good sense. Study at your pace and sharpen your awareness with content that respects your time and intelligence—because understanding people shouldn’t be a mystery. These comprehensive courses are available in this ADHD Awareness - CPD Accredited 3 Courses Bundle Course 01: ADHD Awareness Course 02: Child Language Disorder (CLD) Course 03: Understanding Autism Level 3 ** Special Offer: Free PDF and Hard Copy Certificates** Key Benefits Get instant PDF and Hard Copy certificate Fully online courses Developed by qualified professionals Self-paced learning and laptop, tablet, and smartphone-friendly 24/7 Learning Assistance Course Curriculum: Module 01: Introduction to ADHD Module 02: ADHD in Young and Adults Module 03: ADHD in Family Settings Module 04: ADHD in Educational Settings and Parent Training Module 05: ADHD and Attention Difficulties Module 06: Cognitive Approaches in ADHD Module 07: The Organisation of Care for ADHD Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing each ADHD Awareness - CPD Accredited 3 Courses Bundle bundle course. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this ADHD Awareness - CPD Accredited 3 Courses Bundle course, you will qualify for the CPD Quality Standards (CPD QS) certified certificate from Training Express. CPD 30 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The ADHD Awareness - CPD Accredited 3 Courses Bundle training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our ADHD Awareness - CPD Accredited 3 Courses Bundle training.

🚀 AI & Project Management Masterclass 🚀 Curious about AI in project management but not sure where to start? This fun, no-nonsense masterclass, led by Nadege Minois, will guide you through 7 key questions to ask before diving into AI. Learn how to integrate AI smoothly, avoid common pitfalls, and understand the ethics of using it in your projects—all without needing to code! Perfect for project managers ready for the future. 💡 Ready to level up? Join us and find out if AI is the game-changer your projects need! 👉 Book your spot now!

The aim of the course Stock Analysis and Valuation is to provide students with a deep understanding of how to evaluate the financial health and value of publicly traded companies.After the successful completion of the course, you will be able to learn about the following, Understand the valuation of Stocks using Macro and Micro Valuations. Understand the use of Absolute Valuation or Discounted Cash Flow methods. Learn concepts in Stock Portfolio Management. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. The course "Stock Analysis and Valuation" is designed to provide students with a comprehensive understanding of the techniques and methods used in analyzing and valuing publicly traded companies. The course will cover the fundamental principles of financial analysis, competitive analysis, and valuation, and will provide students with practical skills in financial modeling, forecasting, and valuation. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Stock Analysis and Valuation Self-paced pre-recorded learning content on this topic. Stock Analysis and Valustion Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Equity Analyst Investment Analyst Financial Analyst Valuation Specialist Portfolio Manager Research Analyst Fund Manager Asset Manager Investment Banker Private Equity Analyst Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

Introduction to Psychology: Introduction to Psychology Course Online The study of the human mind and behaviour is known as psychology. There are no more important topics in the information age and global economy than a thorough understanding of how learning occurs and what predicts and determines human behaviour. This Introduction to Psychology course provides meaningful content to help students understand the human condition and inspire them to continue their professional growth. Learning Objectives By the end of the Introduction to Psychology course, the learner will be able to: Understand the fundamentals of psychology. Understand the Evolution of Psychology. Know Sensation and Perception. Understand the States of Consciousness. Gain in-depth knowledge about Learning. Have a clear understanding of memories and forgetting. Explain Thinking and Intelligence. Understand Emotion and Motivation. Understand Human Development. Understand Personality. Understand Social Psychology. Recognise Psychological Disorders. Know Health Stress and Coping. Treat Psychological Disorders. This Introduction to Psychology course focuses on a different aspect of psychology, such as the field's distinctive and colourful history and philosophical roots, unsuccessful research experiments and their impact on psychological ethics, and how the discipline has changed over time. Although throughout this Introduction to Psychology course, you will learn about the history and key figures in psychology, you will also gain an in-depth knowledge of the many processes and theories used in developmental psychology. Main Course: Introduction to Psychology Free Courses Course 01: Diploma in Counselling and Psychology Course 02: Diploma in Mastering Psychology [ Note: Free PDF certificate as soon as completing the Introduction to Psychology: Introduction to Psychology Course] Introduction to Psychology: Introduction to Psychology Course Online Course Curriculum of Introduction to Psychology Module 01: Introducing Psychology Module 02: The Evolution of Psychology: Central Questions, History, and Contemporary Perspectives Module 03: Sensation and Perception Module 04: States of Consciousness Module 05: Learning Module 06: Memories and Forgetting Module 07: Thinking and Intelligence Module 08: Emotion and Motivation Module 09: Human Development Module 10: Personality Module 11: Social Psychology Module 12: Psychological Disorders Module 13: Treating Psychological Disorders Module 14: Health Stress and Coping Assessment Method of Introduction to Psychology: Introduction to Psychology Course After completing Introduction to Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Introduction to Psychology: Introduction to Psychology Course After completing the Introduction to Psychology course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Introduction to Psychology: Introduction to Psychology Course Online This comprehensive Introduction to Psychology: Introduction to Psychology Course is designed for anyone who wants to improve their job prospects or advance their career in this field by learning more about psychology and counselling. Requirements Introduction to Psychology: Introduction to Psychology Course Online To enrol in this Introduction to Psychology: Introduction to Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Introduction to Psychology Course. Be energetic and self-motivated to complete our Introduction to Psychology Course. Basic computer Skill is required to complete our Introduction to Psychology Course. If you want to enrol in our Introduction to Psychology: Introduction to Psychology Course, you must be at least 15 years old. Career path Introduction to Psychology: Introduction to Psychology Course Online This Introduction to Psychology: Introduction to Psychology Course can lead you to the following career paths: Psychologist Psychology Teacher Psychology Assistant

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.