The Psychology Online Course gives you a clear and simple way to understand how people think, feel and act. You will learn how the brain works, how we grow and change, and how our thoughts and feelings shape our lives. This course covers many key areas in psychology, including personality, emotions, stress, behaviour, learning, and mental health. With easy-to-follow lessons, you will gain useful knowledge to understand yourself and others better. Whether you want to build a career in psychology or just learn more about the mind, this course gives you the tools to start. Course Curriculum ✓ Module 01: The Foundation of Psychology ✓ Module 02: Different Approaches of Psychology ✓ Module 03: Biological Psychology ✓ Module 04: Behavioral Psychology ✓ Module 05: Developmental Psychology: How Children Become Adults ✓ Module 06: Social Psychology ✓ Module 07: Emotions in Terms of Psychology ✓ Module 08: Motivation: Why Do We Do What We Do? ✓ Module 09: Dealing with Stress and Anxiety ✓ Module 10: Personality: Psychological Factors That Make You an Individual ✓ Module 11: Perception, Sensation and Love ✓ Module 12: Learning: Understanding Acquired Behavior ✓ Module 13: Thinking: Exploring Mental Life ✓ Module 14: Intelligence: In Pursuit of Rational Thought and Effective Action ✓ Module 15: Atypical Behaviors from a Psychological Perspective ✓ Module 16: Mood Disorders ✓ Module 17: Eating Disorders ✓ Module 18: Personality Disorders ✓ Module 19: Research Methods ✓ Module 20: Psychological Assessments ✓ Module 21: Ethical Issues in Psychological Assessments Learning Outcomes Understand the basics of psychology and its main ideas. Learn how the brain and body affect how we think and act. Know how people grow and develop through life. Explore why we feel emotions and what they mean. Understand what motivates people to do what they do. Learn how stress and anxiety affect the mind and body. See how people learn, remember, and think. Get to know different types of mental health problems. Learn how psychologists study people and collect data. Understand the rules and ethics in psychological testing. Who is this course for? This course is ideal for anyone interested in how the mind works. It suits students, support workers, teachers, carers, and people who want to learn psychology for personal growth or future study. You do not need any previous background in psychology to join. Eligibility Requirements You should have a good understanding of written English. No prior knowledge of psychology is needed, just a keen interest in human behaviour and mental health. Career Path After finishing this course, you can explore roles such as mental health support worker, teaching assistant, youth worker, human resources assistant, or continue into further study in psychology or counselling. It also helps in any job that involves working with people and understanding behaviour. (Learn more about this online course)
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Politics isn’t just about waving flags or watching debates—it’s about understanding the quiet deals, bold reforms, and shifting alliances that shape nations. In this course, Comparative Politics: UK and USA, we shine a light on two of the world’s most influential democracies and examine how their political engines run, stall, and occasionally backfire. From the Westminster model to the separation of powers in Washington, you'll explore how structure, ideology, and history shape policy decisions on both sides of the Atlantic. Whether it's understanding why British Prime Ministers don’t have quite the same power as American Presidents, or why Parliament sounds like a shouting match while Congress seems stuck in gridlock, this course offers a fascinating side-by-side political dissection. With a balanced tone and a bit of wit, we dig into systems, elections, parties, and public opinion—without assuming you’ve memorised every political scandal of the last decade. Perfect for curious learners, aspiring analysts, or those who enjoy reading political headlines with a raised eyebrow, this is your gateway to understanding two very different—but equally captivating—approaches to governance. Key Features The Comparative Politics: UK and USA course includes the following offers: CPD Quality Standards Accredited Comparative Politics: UK and USA Course Lifetime Access No Hidden Fees 24/7 Tutor Support Certificate Available with reasonable price Discover a wealth of learning opportunities with our diverse range of online courses including Comparative Politics: UK and USA. From professional development to personal enrichment, we offer courses in a variety of subjects including business, technology, arts, languages, and more. This Comparative Politics: UK and USA course is carefully curated by industry experts and delivered through engaging multimedia content, interactive quizzes, and hands-on projects to ensure an immersive learning experience. Curriculum Module 01: Introduction To Politics Module 02: US Government Constitution Module 03: Congress - The Legislative Branch Module 04: President - The Executive Branch Module 05: Supreme Court - The Judicial Branch Module 06: Electoral Process And Direct Democracy Module 07: Comparative Approaches Why This Online Course is Better for You: Unlike traditional classroom settings, our online Comparative Politics: UK and USA course offers flexibility and convenience tailored to fit your busy lifestyle. With 24/7 access to Comparative Politics: UK and USA course materials and the ability to learn at your own pace, you can study whenever and wherever it's most convenient for you. Plus, our online platform provides a supportive community of fellow learners and dedicated instructors to guide you every step of the way. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our Comparative Politics: UK and USA course is designed for anyone eager to expand their knowledge and skills, regardless of their background or experience level. Whether you're a working professional looking to upskill, a student seeking supplemental education, or an enthusiast pursuing a passion project, our courses are accessible to learners of all ages and abilities. Career path Invest in your future and unlock new career opportunities with our online Comparative Politics: UK and USA course. Gain valuable skills and credentials that are in high demand in today's competitive job market. Whether you're looking to switch careers, climb the corporate ladder, or start your own business, This course provide the expertise and certification you need to succeed. Certificates Digital certificate Digital certificate - £9 Hard copy certificate Hard copy certificate - £15 A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25
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Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00
Living with Complex PTSD can feel like carrying a weight that nobody else can see. This online course has been thoughtfully developed for anyone who wants to understand the effects of trauma, recognise patterns of emotional distress, and explore healthier coping mechanisms. You’ll gain valuable insights into how Complex PTSD differs from other conditions, with gentle guidance through topics such as trauma bonding, emotional regulation, and the long-term impact of early adversity. Whether you’re supporting yourself or someone close to you, this course offers clear explanations without overcomplicating the essentials. Delivered entirely online for flexible access, the course is suitable for learners at all levels and designed to make difficult topics easier to grasp. It focuses on improving awareness and helping you build clarity around psychological patterns, all while maintaining sensitivity and respect for lived experiences. With well-structured content, expert input, and an easy-to-follow format, this course supports informed understanding in a respectful, professional way—without the jargon. Learning outcomes: Understand the root causes and different types of complex post-traumatic stress disorder (C-PTSD) Learn about the impact of trauma on the brain and body Develop skills to break free from the effects of trauma, including emotional dysregulation, dissociation, and negative self-beliefs Enhance emotional regulation and self-compassion Improve overall mental health and wellbeing Our Overcoming Complex PTSD course is designed to provide you with the tools and strategies needed to overcome the effects of trauma and complex post-traumatic stress disorder (C-PTSD). Through this course, you'll learn about the different types of trauma and how they can lead to C-PTSD. Our expert instructors will guide you through a variety of techniques, including mindfulness, self-compassion, and trauma-focused therapy, to help you break free from the effects of trauma. By the end of this course, you'll have developed skills to enhance emotional regulation, self-compassion, and overall mental health and well-being. â±â± Overcoming Complex PTSD Course Curriculum Lesson 01: Introduction and course overview Lesson 02: What is complex PTSD? Lesson 03: How CPTSD Originates? Lesson 04: Intro to coping with CPTSD Lesson 05: Introduction to cognitive healing Lesson 06: Psychoeducation Lesson 07: Minimizing inner critic Lesson 08: Minimizing outer critic Lesson 09: Introduction to emotional healing Lesson 10: Verbal ventilation Lesson 11: Reparenting Lesson 12: Self-mothering, self-fathering and affirmations Lesson 13: Finding the silver linings Lesson 14: Somatic healing Lesson 15: Meditation Lesson 16: The journey of recovery Lesson 17: Practical aspects of healing Lesson 18: Conclusion How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals who struggle with the effects of trauma and complex post-traumatic stress disorder (C-PTSD) Mental health professionals who want to expand their knowledge and skills in treating trauma using mindfulness and trauma-focused therapy techniques Friends and family members of individuals who struggle with the effects of trauma and C-PTSD Anyone who wants to improve their emotional regulation, self-compassion, and mental health Individuals who want to learn more about C-PTSD and its impact on mental health Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Psychotherapist Mental Health Counselor Social Worker Clinical Psychologist The salary range for these roles in the UK ranges from £25,000 to £60,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
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Struggling with eating disorders can feel like being trapped in an invisible cycle—difficult to explain, even harder to escape. This course has been thoughtfully developed for individuals looking to better understand the complex patterns behind eating disorders and to explore strategies for long-term recovery. Whether you're experiencing disordered eating yourself or supporting someone who is, you'll gain valuable insight into the emotional, psychological, and behavioural aspects of this sensitive subject. Packed with professional guidance, the course gently leads learners through key topics such as body image, emotional triggers, nutritional concerns, and cognitive thought patterns. Designed for clarity and compassion, each module encourages reflection without judgement. There's no jargon or sensationalism—just clear, respectful content presented in a calm, thoughtful tone. Learn at your own pace, with confidence, knowing that you're taking steps towards greater awareness and understanding. Learning outcomes: Understand the different types of eating disorders Learn about the root causes of eating disorders Discover techniques to build a healthier relationship with food Improve self-esteem and overcome negative thought patterns Enhance physical and mental health Our Overcoming Eating Disorders course is designed to help you understand the root causes of eating disorders and provide you with the tools and strategies needed to overcome them. Through this course, you'll learn about the different types of eating disorders and the impact they can have on your physical and mental health. Our expert instructors will guide you through a variety of techniques to help you build a healthier relationship with food, improve your self-esteem, and overcome negative thought patterns. By the end of this course, you'll be on your way to a happier, healthier life. â±â± Overcoming Eating Disorders Course Curriculum Course outline Introduction to course Types of Eating Disorders Bulimia Nervosa Caloric Requirement Research binge eating & purging Studies on Bulimia Nervosa Research on Significance of Binge eating disorder Research on Culture & Eating disorder Research on food insecurity Research on relation between EQ & Eating disorders Research on Incidents & outcomes of eating disorders Binge eating Binge eating continued Symptoms of eating disorders Health effect of binge eating and purging Treatment of binge eating and purging Overcoming your eating disorder (self approach) Introduction to CBT Cognitive Behavioral Therapy Introduction of ACT - Acceptance & Commitment Components of ACT Antecedent and consequential control Goals & Targets of ACT Conclusion How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals who struggle with an eating disorder People who want to learn more about eating disorders and how to overcome them Health professionals who want to expand their knowledge and skills in treating eating disorders Friends and family members of individuals who struggle with an eating disorder Anyone who wants to improve their relationship with food and body image Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Eating Disorder Therapist Nutritionist or Dietician Mental Health Professional Health Coach The salary range for these roles in the UK ranges from £20,000 to £60,000 per year. However, the salary range can vary depending on the industry and level of experience. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.
Spring Boot 3.0 and MongoDB make quite the duo—clean architecture meets agile data management, with none of the usual chaos. This course has been crafted for those who appreciate structured logic, lightning-fast performance, and the occasional sense of relief when code behaves as expected. Whether you're designing microservices or working with APIs, Spring Boot 3.0 brings clarity to complex Java development. Paired with MongoDB’s flexible document model, this course gives you a deep technical grounding without ever overcomplicating the process. You’ll be walked through essential configurations, RESTful services, and powerful integration patterns with MongoDB—all with a focus on cleaner code, scalable solutions, and secure deployments. From dependency injection to working seamlessly with Spring Data, every step is designed to make the backend behave. No fluff, just solid development principles with the latest tools in your hands. If you’re looking to sharpen your backend logic using two of the most talked-about technologies in modern application development, this course ticks that box—elegantly, of course. Learning Outcomes: Gain a solid understanding of the Spring Boot and MongoDB frameworks and their capabilities. Learn how to set up and configure a MongoDB environment, and integrate it with a Spring Boot application. Understand the CRUD operations and how to perform them using both MongoDB and Spring Boot. Discover the advanced concepts of DBRef and Collections Relationships, OpenAPI integration, and Documents Queries. Learn how to use Query Methods to access and manipulate data in MongoDB. The Master Spring Boot 3.0 and MongoDB course is the ultimate guide to mastering these two powerful technologies. Designed for both newcomers and seasoned professionals, this course will provide you with a comprehensive understanding of the Spring Boot and MongoDB frameworks and their capabilities. You'll learn how to set up and configure a MongoDB environment, and integrate it with a Spring Boot application. The course covers a range of topics, from the basics of CRUD operations to the advanced concepts of DBRef and Collections Relationships, OpenAPI integration, and Documents Queries. By the end of the course, you'll be equipped with the skills and knowledge you need to succeed in this dynamic and competitive field. Master Spring boot 3.0 and MongoDB Course Curriculum Section 01: Introduction Section 02: Prepare the Mongo Environment Section 03: Mongo Terms Section 04: Bootstrapping the Application Section 05: CRUD Operations Section 06: DBRef and Collections Relationships Section 07: OpenApi integration Section 08: Documents Queries and Mongo Template Section 09: Query Methods How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Software developers who want to enhance their skills and knowledge in Spring Boot and MongoDB. Professionals who want to stay up-to-date with the latest technologies and trends in software development. Individuals who are new to the field and want to learn about Spring Boot and MongoDB. Entrepreneurs who want to build scalable and reliable software applications using Spring Boot and MongoDB. Anyone who wants to develop their skills in the software development industry. Career path Full-Stack Developer: £27,000 - £71,000 Software Engineer: £25,000 - £62,000 Senior Software Engineer: £43,000 - £90,000 Technical Lead: £53,000 - £119,000 Solutions Architect: £63,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.