1302 Scientist courses delivered Online

Overview This comprehensive course on Google Data Studio: Data Analytics will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Google Data Studio: Data Analytics comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Google Data Studio: Data Analytics. It is available to all students, of all academic backgrounds. Requirements Our Google Data Studio: Data Analytics is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 4 sections • 17 lectures • 02:32:00 total length •Course Overview: 00:01:00 •Format Data in Google Sheets: 00:08:00 •Sheet Functions 1: Query & Import Range: 00:07:00 •Sheets Function 2: Vlookup & Defined Range: 00:10:00 •Sheets Function 3: Cross Table Calculations: 00:09:00 •Connect Data to Google Data Studio: 00:04:00 •GDS Calculated Fields: 00:08:00 •GDS Theme Customization: 00:07:00 •GDS Page Layout Design: 00:17:00 •GDS Charts: Scorecards: 00:12:00 •GDS Charts: Time Series Graphs: 00:09:00 •GDS Blending and Joining Data Tables: 00:07:00 •GDS Charts: Bar, Donut, and Treemap: 00:17:00 •GDS Charts: Interactive Filters: 00:08:00 •GDS Project Page Completion: 00:17:00 •GDS Client Page Completion: 00:11:00 •Additional Resources - Google Data Studio: Data Analytics: 00:00:00

[vc_row][vc_column][vc_column_text] Description: Dialectical Behaviour Therapy ( DBT) is a form of cognitive psychotherapy, designed to treat people with borderline personality disorders and mental health illnesses. DBT is often used to treat individuals who self-harm, abuse drugs or have suicidal tendencies. If you're considering a career in counselling, then you may want to consider this dialectical behaviour therapy training course. The Dialectical Behaviour Therapy (DBT) Diploma Course is an exploration of DBT theory and an introduction to the role of a DBT therapist. To begin with, you will explore the strategies of the DBT approach and DBT treatments, including interpersonal effectiveness and mindfulness practices. You will then move onto how to use psychotherapy, and DBT counselling approaches for solving common psychological disorders such as depression, anxiety and OCD. Finally, you will study the benefits and limitations of the DBT approach. Throughout this course, you will develop essential problem-solving and clinical skills to help you with your career advancement to becoming a fully qualified DBT practitioner. Who is the course for? Anyone who wants to work as a therapist or use therapy in work Anyone who is interested in counselling or psychotherapy Anyone who wants to learn DBT approach Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Introduction About the Instructor FREE 00:02:00 About the Course 00:06:00 What is Counselling & Psychotherapy Definition of Counselling 00:07:00 Counselling & Psychotherapy 00:07:00 Approaches in Counselling & Psychotherapy 00:12:00 About Dialectical Behaviour Therapy (DBT) What is DBT? 00:05:00 What is 'dialectical'? 00:06:00 History & Philosophy of DBT 00:06:00 DBT Strategies & 'Life Skills' What is 'Mindfulness' 00:08:00 What is 'Distress Tolerance' 00:10:00 What is 'Emotion regulation' 00:11:00 What is 'Interpersonal Effectiveness' 00:06:00 Treatment by DBT Multistage approach of DBT 00:11:00 The Stages of Treatment in DBT 00:06:00 Prioritising Treatments Targets 00:05:00 How to set up 'learning environment' for the client 00:07:00 How to conduct 'Behavioural Analysis' 00:11:00 DBT for Psychological Disorders Uses of DBT 00:03:00 DBT in the treatment of Borderline Personality Disorder 00:07:00 DBT in the treatment of Depression 00:09:00 DBT for treatment of Anxiety & OCD 00:08:00 DBT for treatment of 'Eating Disorders' 00:08:00 Effectiveness of DBT How effective is DBT? 00:07:00 Criticism and Limitations of DBT 00:05:00 Thank You and Good Bye! 00:04:00 Mock Exam Mock Exam - Dialectical Behaviour Therapy (DBT) Diploma 00:20:00 Final Exam Final Exam - Dialectical Behaviour Therapy (DBT) Diploma 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Overview of Dialectical Behaviour Therapy (DBT) Course Many people suffer from extreme emotional pain and often hurt themselves on purpose. DBT is designed to help people cope with their mental suffering and self-injurious behaviour.  This Dialectical Behaviour Therapy (DBT) Course will teach you the DBT therapy techniques to help people with borderline personality disorders and other mental conditions. Training with us, you'll understand mindfulness in DBT and how to incorporate mindfulness in clinical settings. In addition, the modules will explain how emotions work and introduce you to the most essential tools in emotion regulation. You'll also learn about different communication types in DBT and the DBT interventions where people learn to manage distress in a healthy way. Finally, you'll discover the application of DBT in treating diverse patient populations. Course Preview Learning Outcomes Identify the core components of DBT Determine the role of mindfulness in DBT Understand what are emotion regulation skills in DBT Realise how DBT can improve communication outcomes Learn about the ethical and professional considerations in DBT practice Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email Who Should Take this Dialectical Behaviour Therapy (DBT) Course? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Dialectical Behaviour Therapy (DBT) Course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path​ Dialectical Behaviour Therapy (DBT) 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: Dialectal Behaviour Therapist Mental Health Assistant Human Service Caseworker Module 1: Introduction to DBT Introduction to DBT 00:19:00 Module 2: Mindfulness Skills Training Mindfulness Skills Training 00:20:00 Module 3: Emotion Regulation Skills Emotion Regulation Skills 00:19:00 Module 4: Interpersonal Effectiveness Skills Interpersonal Effectiveness Skills 00:16:00 Module 5: Distress Tolerance Skills Distress Tolerance Skills 00:26:00 Module 6: Application of DBT in Specific Populations Application of DBT in Specific Populations 00:27:00 Module 7: Implementation of DBT in Clinical Settings Implementation of DBT in Clinical Settings 00:28:00 Module 8: Ethical and Professional Considerations in DBT Practice Ethical and Professional Considerations in DBT Practice 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

“Master the integration of AI in programming with our ‘ChatGPT for Programmers’ course. Discover how ChatGPT can revolutionize your coding skills and open new horizons in software development.”

This course aims to teach you how to use Python for machine learning and data science.

About Course The human body is a masterpiece of engineering and a work of art. Biomedical Engineers form the vanguard of new approaches to understand disease progression rationally and develop new diagnostic and therapeutic strategies to keep humans safe and healthy. Biomedical engineering is a rapidly growing field that offers exciting opportunities for students and professionals alike. Biomedical engineers are involved in the development of new and innovative medical devices, systems, and therapies. They also play a vital role in the research and development of new drugs and treatments. This course will provide you with the fundamental engineering principles and knowledge that are essential for a successful career in biomedical engineering. You will learn about the different types of biomedical engineering, including bioinstrumentation, biosignal processing, biomedical imaging systems, and biomechanics. You will also have the opportunity to gain hands-on experience with biomedical devices and systems. Why You Should Take This Course Learn the fundamental engineering principles and knowledge that are essential for a successful career in biomedical engineering. Gain hands-on experience with biomedical devices and systems. Prepare for a variety of careers in biomedical engineering, such as research, development, design, manufacturing, and sales. Gain the skills and knowledge necessary to develop and commercialize new biomedical products and technologies. Learn how to apply engineering principles to solve real-world biomedical problems. Have the opportunity to collaborate with other students and faculty on cutting-edge research projects. Develop the critical thinking and problem-solving skills that are essential for success in any field. Enroll today and start your journey to becoming a biomedical engineer! Become a part of the vanguard of new approaches to understand disease progression rationally and develop new diagnostic and therapeutic strategies to keep humans safe and healthy. What Will You Learn? Define biomedical engineering and explain its importance in the field of healthcare. Identify the different types of biomedical engineers and their roles. Apply engineering principles to solve real-world biomedical problems. Apply biomechanics principles to the study of the human body and the design of medical devices and implants. Communicate effectively with other biomedical engineers, healthcare professionals, and the public about biomedical engineering research and advancements. Course Content Introduction to Biomedical Engineering Introduction to Biomedical Engineering Introduction to Physiology Introduction to Physiology Bioinstrumentation Bioinstrumentation Biosignal Processing Biosignal Processing Biomedical Imaging Systems Biomedical Imaging Systems Biomechanics Biomechanics A course by Xpert Learning RequirementsBasic understanding of Biology Audience Students in the fields of engineering, science, and medicine Healthcare professionals Audience Students in the fields of engineering, science, and medicine Healthcare professionals

Dive into the world of numbers and patterns with our 'Statistical Analysis Course,' where data tells stories and predictions shape the future. In the first module, you're introduced to the vast landscape of statistics, a toolset essential for deciphering the tales hidden within data. As you progress, familiarise yourself with the fundamental statistical terminology, paving the way for a deeper grasp of how data clusters around central values. The journey through this course is a blend of theory and application, from mastering the intricacies of data variability to the advanced realms of regression analysis and predictive algorithms. Learning Outcomes Gain a solid understanding of statistics and its significance in various fields. Learn to describe and utilise basic statistical terminology and methods. Comprehend and calculate measures of central tendency and data dispersion. Develop skills in probability, distribution analysis, and statistical inference. Apply statistical methods correctly and appreciate the Bayesian approach for learning from data. Why choose this Statistical Analysis Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Statistical Analysis Course 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. Who is this Statistical Analysis Course for? Aspiring data analysts seeking a foundation in statistics. Business professionals who require analytical skills for data-driven decision-making. Students of the social sciences, economics, or any field involving data interpretation. Researchers needing a robust grasp of statistical analysis methods. Anyone interested in understanding how to utilise data for predictions and analytics. Career path Data Analyst - £25,000 to £40,000 Market Research Analyst - £23,000 to £35,000 Quantitative Analyst - £35,000 to £70,000 Statistical Researcher - £27,000 to £45,000 Business Intelligence Analyst - £30,000 to £55,000 Econometrician - £30,000 to £60,000 Prerequisites This Statistical Analysis Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Statistical Analysis Course 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 Module 01: The Realm of Statistics The Realm Of Statistics 00:26:00 Module 02: Basic Statistical Terms Basic Statistical Terms 00:41:00 Module 03: The Center of the Data The Center of the Data 00:03:00 Module 04: Data Variability Data Variability 00:15:00 Module 05: Binomial and Normal Distributions Binomial and Normal Distributions 00:14:00 Binomial Probabilities Table 00:00:00 Z-Table 00:00:00 Module 06: Introduction to Probability Introduction to Probability 00:35:00 Module 07: Estimates and Intervals Estimates and Intervals 00:34:00 Module 08: Hypothesis Testing Hypothesis Testing 00:31:00 Module 09: Regression Analysis Regression Analysis 00:11:00 Module 10: Algorithms, Analytics and Predictions Algorithms, Analytics and Prediction 00:47:00 Module 11: Learning From Experience: The Bayesian Way Learning From Experience: The Bayesian Way 00:31:00 Module 12: Doing Statistics: The Wrong Way Doing Statistics: The Wrong Way 00:37:00 Module 13: How We Can Do Statistics Better How We Can Do Statistics Better 00:41:00 Assignment Assignment - Statistical Analysis Course 00:00:00

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? 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 Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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 Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Medical Writing - Turning the language of medicine into narratives that heal and enlighten

Delving Deeper This groundbreaking course takes you on a mind-expanding journey through the fundamental questions of our time – from the origins of the universe to what consciousness, and the nature of our relationship with reality, might be Are you fascinated by the ‘big questions’? This unique online course, which is based on a weekend course of the same name, takes you on a fascinating journey as it explores some of the fundamental questions of our time – before arriving at some convincing and potentially explosive new explanations. The most stimulating course I've ever done. Why do we have a questioning mind, if not to find the answers?J. SMEDLEY These new insights are compatible with the latest scientific findings and could have huge implications for mankind – they also throw important light on what the ancient mystics have been saying for centuries about the true nature of reality, and our place in it. If you’ve been wondering how the universe came into existence, thinking about the ‘hard problem’ of consciousness, puzzling over the mysteries thrown up by quantum science or been intrigued by mystical experiences – this course is for you. Griffin and Tyrrell’s work soundly rejects the pessimistic reductionist view that the great mysteries about the origin of life, consciousness and time cannot be solved by the human mind. By extending ideas derived from studies of the brain and human givens psychology they have found plausible answers to the big cosmic questions that physicists, biologists and psychologists are struggling with. Their conclusions hold out fascinating implications, not only for scientific progress but also for seekers after truth everywhere. This course offers you the opportunity to examine these profound questions alongside them. This could be the missing link in cosmic and quantum physics… a white knuckle ride through one dazzling, thought-provoking idea after another.AUBREY DAVIS, STORYTELLER What the course investigates How the universe appeared from ‘nothing’ in a Big Bang Why relationships are so important What consciousness is and how it evolved How to expand our consciousness further Why life is full of ‘meaning’ How consciousness connects to matter Why our universe is so extraordinarily favourable to the evolution of life Where the information that created life came from Why consciousness will never be pinned down by brain science How human consciousness changed over the last 100,000 years Why we experience time passing – when physicists say time is an illusion What Dark Matter and Dark Energy might be The function of mysticism What ‘self-development’ really means Can our individual consciousness survive death? And, if so, in what circumstances might that happen? What's included? 21 Videos24 PresentationsLife-long access Course format This online course is derived from a 2-day weekend workshop entitled ‘Delving Deeper: Exploring consciousness and your relationship to reality’ which people travelled from across the world to attend. Fortunately one course was filmed and it is this fascinating material – which includes lively interaction and discussions with the participants – that forms the basis of this ‘Exploring Consciousness’ online course. As some of the concepts in the lectures and discussions are quite subtle and/or very new, we’ve split the course into 21 sections (see ‘Course programme‘) so that you can take your time to absorb and think about the ideas it contains. Each section consists of a filmed talk, many with additional questions and contributions from the participants. Then, after each film, you will receive review notes of the main ideas covered in that section (original to the online course). These notes were carefully written to stimulate contemplation and discussion among you and your friends, or anyone else doing the course with you. You also have access to an exclusive discussion forum where you can post your own thoughts, discuss them and other threads with other course participants who are also interested in the ‘big questions’ (Joe and Ivan are also on the forum). You can spend as long as you like making your way through the course, thinking about the points and ideas raised, and it is easy to review any film or section again should you wish to. In fact, as the content is so rich, we heartily recommend this. Meet your tutors Joe Griffin Joe Griffin is a psychologist with many years’ experience both in psychotherapeutic practice and in training psychotherapists. Read more Ivan Tyrrell Ivan Tyrrell worked for many years as a psychotherapist and now spends most of his time lecturing and writing. Read more How the course was developed Griffin and Tyrrell worked together for many years on improving the understanding and treatment of mental illness. They originated the Human Givens approach to psychotherapy, education and psychology, which has been shown to hugely improve the delivery of psychological interventions, and their mental health courses and numerous books have helped tens of thousands of distressed people. At the same time, they continued to pursue their mutual life-long interest in resolving the hardest question in science – the mystery of consciousness. Their extensive research led them to think about other questions too, such as a meaningful way to understand time, how the universe appeared, quantum entanglement, and what mysticism is for – if anything. Their drive to understand led to years spent studying, researching and thinking about the relevant scientific research and latest theories in various fields (from neuroscience to quantum physics), as well as seeing what the ancient wisdom traditions might have to tell us. Eventually their work and dedication resulted in the publication of ‘Godhead: The Brain’s Big Bang‘ – a book about the explosive origin of creativity, mysticism and mental illness and what that meant for our current understanding about the nature of mind and matter. Magisterial… a grand multi-disciplinary meditation… a gorgeous spell of reflection of the Big Bang and the organization of the universe cast in a fascinating mix of the findings of quantum physics and the intuitions of mysticism… a cascade of every conundrum of our mysterious universe that has baffled the human mind down the millennia.PROFESSOR A.V. ASHOK His view was echoed by many others who wanted an opportunity to get together to explore the valuable ideas it contained – the result was a series of private weekend courses on consciousness, science and spirituality that were run in the UK and Dublin. FAQs Do I need any prior knowledge to do this course? The course is in English so you need to understand English pretty well to follow some of the more subtle ideas that are discussed. You do not need to have any prior knowledge of physics, quantum physics, psychology, neuroscience or mysticism etc, to be able to follow the points made. Just an intelligent, questioning and curious mind… How long will it take me? This is really up to you – the course includes content filmed over two days, and there are also review points for you to read and contemplate and suggested links and publications that you might wish to follow up. We also recommend you watch the films a few at a time, rather than all at once, so that you can think about them in depth and allow time to absorb the rich ideas that are presented in each one. You can then watch each clip as often as you feel is helpful. Can I take the course more than once? Yes, once you’ve paid for the course you can watch it as many times as you like, you’ll have permanent access to the content. Can I discuss the ideas on this course with others? Yes, there is an online discussion forum which everyone who has completed the course is invited to join. On it you can share your thoughts, observations and related links or information etc with like-minded people also interested in these ideas. You can also post questions and comments about what you are learning. Ivan and Joe contribute to this forum too. What else will I gain from the course? As well as looking at the ‘hard’ questions that have baffled scientists, and offering some convincing answers, this course shows you what self-development really requires by revealing the true function of mysticism and how it merges with modern science.