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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Understanding and interpreting sign language is more than a skill — it’s a meaningful bridge to inclusive communication. This course offers a clear and engaging introduction to British Sign Language (BSL), exploring its structure, expressions, and core techniques for interpreting in various everyday contexts. Whether you're learning out of personal interest or looking to support others with improved communication, this course walks you through the essentials with a focus on clarity, confidence, and cultural respect. Delivered entirely online, the modules are designed with simplicity and pace in mind. No previous knowledge is required — just a keen eye, an open mind, and a willingness to learn something truly valuable. From fingerspelling to conversational flow, learners will gain insight into how sign language functions in modern settings. It's a great opportunity to connect, understand, and communicate beyond spoken words — all from the comfort of your own space. Enrol today and unleash your potential in a field brimming with meaning and impact. HGV Training, Interpreter, Language, BSL, ASL, French, Spanish, Communication, Interpreting, Linguistic, Sign Language, Non-Verbal, Diversity, Cultural Bridge. Key Features: CPD Certified Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Course 01: British Sign Language (BSL) for Beginner Course 02: American Sign Language Online Course Course 03: French Language Course Course 04: Spanish Language Masterclass Learning Outcomes: Master BLS for effective communication. Acquire proficiency in ASL through comprehensive online modules. Expand linguistic horizons with French language fluency. Excel in Spanish language mastery for diverse interaction. Develop interpretive skills to bridge language barriers seamlessly. Cultivate cultural sensitivity through language immersion experiences. Accreditation All of our courses, including this Course are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Course, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 50 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to enhance communication skills. Enthusiasts eager to delve into sign language. Professionals aiming to broaden linguistic proficiency. Aspiring interpreters interested in diverse cultural exchanges. Requirements Learners do not require any prior knowledge or qualifications to enrol in this course. Career path Sign Language Interpreter - £20K to 40K/year. Language Teacher - £25K to 35K/year. Translator - £20K to 40K/year. Bilingual Customer Service Representative - £18K to 30K/year. Language Tutor - £15K to 30K/year. Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Clinical Psychology: Clinical Psychology Online Are you looking to develop or establish a career in psychology or counselling? Then this Clinical Psychology: Clinical Psychology course is perfect for you. Our Clinical Psychology: Clinical Psychology course is divided into several manageable modules ideal for aspiring professionals, allowing our students to easily grasp each concept. The Clinical Psychology: Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Through this Clinical Psychology: Clinical Psychology course, you will learn about psychiatric disorders in adults, children, and adolescents and the symptoms and treatment of schizophrenia, anorexia nervosa, depression, and other conditions. By the end of the Clinical Psychology: Clinical Psychology course, you will have the professional skills, knowledge, and credentials to pursue a broad range of careers in this field, such as child psychology, CBT therapy, and behavioural therapy. Our comprehensive Clinical Psychology: Clinical Psychology course is the perfect way to kickstart your career in the field of psychology. The Clinical Psychology: Clinical Psychology course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Main Course: Diploma in Clinical Psychology Free Courses included with Clinical Psychology: Clinical Psychology Course Course 01: Mental Health Care Course Course 02: Introduction to Psychology Course 03: Diploma in Counselling and Psychology [Note: Free PDF certificate as soon as completing the Clinical Psychology: Clinical Psychology course] Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course consists of 12 modules. Course Curriculum of Clinical Psychology: Clinical Psychology Course Module 01: An Overview of Mental Health Module 02: Different Viewpoints in Psychology Module 03: Social Psychology Module 04: Utilising Cognitive Psychology Module 05: Understanding Childhood and Adolescent Psychiatric Disorders Module 06: Understanding Stress and Anxiety Disorders Module 07: Understanding Schizophrenia Module 08: Understanding Personality Disorders Module 09: Understanding Mood Disorders Module 10: Understanding Eating & Sleeping Disorders Module 11: Understanding Self-Harm and Suicide Module 12: Treating Mental Illness: Medication and Therapy Assessment Method of Clinical Psychology: Clinical Psychology After completing Clinical Psychology: Clinical 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 Clinical Psychology: Clinical Psychology After completing the Clinical Psychology: Clinical 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? Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling, which includes the following related professions: Child Psychologist CBT Therapist Counsellor Requirements Clinical Psychology: Clinical Psychology Online To enrol in this Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Clinical Psychology: Clinical Psychology Course. Be energetic and self-motivated to complete our Clinical Psychology: Clinical Psychology Course. Basic computer Skill is required to complete our Clinical Psychology: Clinical Psychology Course. If you want to enrol in our Clinical Psychology: Clinical Psychology Course, you must be at least 15 years old. Career path Clinical Psychology: Clinical Psychology Online This Clinical Psychology course will prepare you for a variety of career paths, including the following: Psychology Assistant - £20,000 to £30,000 per annum Psychologist - £35,000 to £45,000 per annum Psychiatrist - £45,000 to £60,000 per annum Clinical Counselling Psychologist- £45,000 to £50,000 per annum

Clinical Psychology: Clinical Psychology Online Unlock the Power of Clinical Psychology: Clinical Psychology Course: Enrol Now! Are you looking to develop or establish a career in psychology or counselling? Then this Clinical Psychology: Clinical Psychology course is perfect for you. Our Clinical Psychology: Clinical Psychology course is divided into several manageable modules ideal for aspiring professionals, allowing our students to easily grasp each concept. The Clinical Psychology: Clinical Psychology course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Through this Clinical Psychology: Clinical Psychology course, you will learn about psychiatric disorders in adults, children, and adolescents and the symptoms and treatment of schizophrenia, anorexia nervosa, depression, and other conditions. By the end of the Clinical Psychology: Clinical Psychology course, you will have the professional skills, knowledge, and credentials to pursue a broad range of careers in this field, such as child psychology, CBT therapy, and behavioral therapy. Main Course: Diploma in Clinical Psychology Free Courses included with Clinical Psychology: Clinical Psychology Course: Course 01: Introduction to Psychology Course 02: Diploma in Mastering Psychology Course 03: Diploma in Counselling and Psychology Course 04: Level 5 Mental Health Care – MCA and DOLS Course 05: Adults Support Worker Course Special Offers of this Clinical Psychology: Clinical Psychology Course: This Clinical Psychology: Clinical Psychology Course includes a FREE PDF Certificate. Lifetime access to this Clinical Psychology: Clinical Psychology Course Instant access to this Clinical Psychology: Clinical Psychology Course 24/7 Support Available to this Clinical Psychology: Clinical Psychology Course [Note: Free PDF certificate as soon as completing the Clinical Psychology: Diploma in Clinical Psychology course] Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course consists of 12 modules. Course Curriculum of Clinical Psychology: Clinical Psychology Course Module 01: An Overview of Mental Health Module 02: Different Viewpoints in Psychology Module 03: Social Psychology Module 04: Utilising Cognitive Psychology Module 05: Understanding Childhood and Adolescent Psychiatric Disorders Module 06: Understanding Stress and Anxiety Disorders Module 07: Understanding Schizophrenia Module 08: Understanding Personality Disorders Module 09: Understanding Mood Disorders Module 10: Understanding Eating & Sleeping Disorders Module 11: Understanding Self-Harm and Suicide Module 12: Treating Mental Illness: Medication and Therapy Assessment Method of Clinical Psychology: Clinical Psychology After completing Clinical Psychology: Clinical 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 Clinical Psychology: Clinical Psychology After completing the Clinical Psychology: Clinical 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? Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course is ideal for anyone looking to start a career in the field of psychology or counselling, which includes the following related professions: Child Psychologist CBT Therapist Counsellor Requirements Clinical Psychology: Clinical Psychology Online To enrol in this Clinical Psychology: Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Clinical Psychology: Clinical Psychology Course. Be energetic and self-motivated to complete our Clinical Psychology: Clinical Psychology Course. Basic computer Skill is required to complete our Clinical Psychology: Clinical Psychology Course. If you want to enrol in our Clinical Psychology: Clinical Psychology Course, you must be at least 15 years old. Career path Clinical Psychology: Clinical Psychology Online This Clinical Psychology: Clinical Psychology course will prepare you for a variety of career paths, including the following: Psychology Assistant - £20,000 to £30,000 per annum Psychologist - £35,000 to £45,000 per annum Psychiatrist - £45,000 to £60,000 per annum Clinical Counselling Psychologist- £45,000 to £50,000 per annum

Let’s face it—Tuberculosis isn’t just something from the history books. It’s very much a present-day issue, and the numbers are louder than ever. This Awareness of Tuberculosis Course cuts through the noise and brings clear, well-organised information to help learners understand how TB spreads, who’s at risk, and what steps can be taken to limit its impact. You won’t find fluff here—just the straight facts, smartly presented and easy to follow. Whether you’re looking to improve your knowledge for work or personal interest, this course keeps things simple, sharp, and relevant. You’ll explore the causes, symptoms, stages, and treatment approaches without needing to be a medical professional. From how TB behaves in different environments to the precautions people can take, this course keeps the science understandable and the content accessible. With each module, your awareness of TB becomes clearer, making you more confident in recognising and responding to this global health challenge. No lab coats or long lectures—just clear, accessible learning delivered online at your own pace. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01 : Introduction to Tuberculosis Module 02 : Epidemiology and Drug Resistance Module 03 : Diagnostic Methods for Tuberculosis Module 04 : Treatment of Tuberculosis Module 05 : TB Management and Control Strategies Module 06 : Prevention and Control of Tuberculosis Learning Outcomes: Understand the global impact of tuberculosis. Identify diagnostic methods for TB detection. Explore effective treatment approaches. Develop TB management and control strategies. Master prevention techniques for TB transmission. Acquire knowledge to contribute to TB awareness and control efforts. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Healthcare professionals Public health workers Medical students Researchers NGO staff Policymakers Community health educators Career path Epidemiologist Clinical Researcher Public Health Analyst Medical Doctor Nonprofit Health Worker Health Policy Advisor Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

RQF Level 2 First Aid for Youth Mental Health course The RQF Level 2 First Aid for Youth Mental Health course is designed to provide participants with a deeper understanding of youth mental health issues and equip them with the knowledge and skills to provide effective support to young people experiencing mental health challenges. The course covers a range of topics related to youth mental health, including common mental health conditions, risk factors, early intervention strategies, and support resources. Here are some key components typically covered in the RQF Level 2 First Aid for Youth Mental Health course: Understanding Youth Mental Health: Participants will gain an understanding of the unique mental health challenges faced by young people, including the impact of developmental stages, societal influences, and peer pressure. They will learn about common mental health conditions that affect youth, such as anxiety, depression, self-harm, eating disorders, and substance abuse. Recognizing Signs and Symptoms: Participants will learn to recognize signs and symptoms of mental health issues in young people. They will explore the behavioural, emotional, and physical indicators that may suggest a young person is experiencing distress or mental health difficulties. Providing Initial Support: The course will cover strategies for providing initial support to young people in crisis or distress. Participants will learn how to approach and engage with young people, offer active listening, and provide appropriate reassurance and guidance. They will also explore strategies for managing challenging or sensitive conversations related to mental health. Promoting Positive Mental Health: Participants will gain insights into promoting positive mental health and well-being in young people. This includes exploring protective factors, resilience-building techniques, and strategies for fostering a supportive and inclusive environment. Referral and Signposting: The course will emphasize the importance of early intervention and appropriate referral pathways. Participants will learn how to signpost young people to relevant support services, resources, and professionals who can provide further assistance. Self-Care and Boundaries: Participants will be encouraged to prioritise their own well-being while supporting young people with mental health challenges. They will learn about self-care strategies, setting boundaries, and seeking support for themselves as they engage in helping others. Interactive Activities and Case Studies: The course often includes interactive activities, discussions, and case studies to facilitate practical learning and application of knowledge. These exercises enable participants to develop their skills in a supportive learning environment. Successful completion of the RQF Level 2 First Aid for Youth Mental Health course typically leads to the awarding of the Level 2 qualification. It is important to note that this course does not provide participants with the qualifications to diagnose or treat mental health conditions, but it equips them with the knowledge and skills to offer initial support and signposting to young people in need. Suitability - Who should attend? The RQF Level 2 First Aid for Youth Mental Health course is primarily aimed at individuals who work or have regular contact with young people aged 8 to 18 years old. This can include professionals, volunteers, or anyone else who has a role in supporting young people's mental health and well-being. The course is relevant for a wide range of individuals and professions, including but not limited to: Teachers and educators Youth workers Social workers School counsellors Sports coaches Healthcare professionals (such as nurses, paramedics, and allied health professionals) Community workers Volunteers in youth organizations Parents or caregivers Those with a general interest in youth mental health and well-being The Level 2 First Aid for Youth Mental Health course aims to equip participants with the skills and knowledge to provide initial support to young people experiencing mental health difficulties. It focuses on developing an understanding of youth mental health, recognizing signs and symptoms, offering appropriate support, and guiding young people toward further professional help. Ultimately, the course aims to empower individuals to be better equipped in providing immediate assistance and promoting positive mental health outcomes for young people. Outcome / Qualification etc. Upon completing the RQF Level 2 First Aid for Youth Mental Health course, participants can expect to achieve several learning outcomes. Understanding Youth Mental Health: Participants will gain knowledge about common mental health issues affecting young people, including anxiety, depression, self-harm, eating disorders, and substance misuse. They will develop an understanding of risk factors, protective factors, and the impact of mental health on young people's overall well-being. Recognising Signs and Symptoms: Participants will learn to identify early signs and symptoms of mental health problems in young people. They will understand how mental health difficulties can manifest and affect different aspects of a young person's life, such as behaviour, emotions, and social interactions. Providing Initial Support: Participants will acquire skills to provide initial support to young people experiencing mental health issues. They will learn active listening techniques, non-judgmental communication, and how to create a safe and supportive environment for young people to share their concerns. Promoting Positive Mental Health: Participants will understand the importance of promoting positive mental health and well-being in young people. They will learn strategies to enhance resilience, self-esteem, and coping skills among young people, as well as ways to create supportive environments that contribute to positive mental health outcomes. Signposting to Professional Help: Participants will gain knowledge about appropriate professional resources and services available to support young people's mental health. They will learn how to effectively signpost young people to appropriate help, such as mental health professionals, helplines, or support organizations. Self-Care and Boundaries: Participants will understand the importance of self-care and maintaining boundaries when supporting young people's mental health. They will learn techniques to manage their own emotional well-being and seek appropriate support for themselves when needed. The course aims to equip participants with the skills, knowledge, and confidence to provide immediate support and signpost young people to appropriate help. While it does not qualify participants as mental health professionals, it enhances their capacity to play a supportive role in promoting positive mental health outcomes for young people. Training Course Content Module 1 Introduction Module 2 What is first aid for youth mental health? Module 3 Identifying mental health conditions Module 4 Stress Module 5 Mental health conditions Module 6 First Aid Action Plan for Mental Health Module 7 Assessment and course closure MODULE 1 INTRODUCTION Session content Trainer/assessor introduction Learner introductions Course information • Administration • Learning outcomes and assessment criteria • Reasonable adjustment • Certification • Complaints and appeals • Assessment information Session duration 15 minutes MODULE 2 WHAT IS FIRST AID FOR YOUTH MENTAL HEALTH? Session content Definitions Role and responsibilities of a first aider The impact of mental health issues Mental health stigma Statistics Session duration 30 minutes MODULE 3 IDENTIFYING MENTAL HEALTH CONDITIONS Session content Mental health continuum Mental health risk factors Early warning signs Session duration 30 minutes MODULE 4 STRESS Session content What is stress? Causes of stress Effects of stress Coping strategies Session duration 30 minutes MODULE 5 MENTAL HEALTH CONDITIONS Session content Depression Anxiety Psychosis Eating disorders Suicide Self-harm Post-traumatic stress disorder Conduct disorders - Bullying Drugs and alcohol Session duration 125 minutes MODULE 6 FIRST AID ACTION PLAN FOR MENTAL HEALTH Session content Check for significant risk of suicide or harm Apply non-judgemental communication skills Reassure and provide information Encourage professional support and self-help strategies Consent and safeguarding The first aider’s own health and emotions Assessment Scenario – Application of the first aid action plan for mental health Session duration 90 minutes MODULE 7 ASSESSMENT AND COURSE CLOSURE Session content Written assessment paper Course administration Course closure Session duration 40 minute Course delivery details The delivery of the RQF Level 2 First Aid for Youth Mental Health course may vary depending on the training provider. However, here are some common methods and approaches used in the course delivery: Classroom-Based, or virtual Instruction: The course often involves attending face-to-face training sessions in a classroom setting. An experienced instructor or facilitator will lead the sessions, providing lectures, presentations, and discussions on the relevant topics. Participants will have the opportunity to interact with the instructor and fellow learners, ask questions, and engage in group activities. Interactive Learning: To enhance understanding and engagement, the course may incorporate interactive learning methods. This can include group discussions, case studies, role-plays, and simulations. These activities allow participants to apply their knowledge and skills in practical scenarios related to youth mental health. Multimedia Resources: Training providers may utilize multimedia resources to enhance the learning experience. This can include videos, audio recordings, and online resources that provide additional information, real-life examples, and testimonials related to youth mental health. Practical Skills Training: The course may include hands-on training in practical skills related to supporting young people with mental health challenges. Participants may learn and practice active listening techniques, crisis de-escalation strategies, and effective communication skills. Practical exercises and simulations can help participants develop confidence in applying these skills. Case Studies and Scenarios: The course may incorporate real-life case studies or scenarios to illustrate the application of knowledge and skills. Participants may analyze and discuss these cases, identify appropriate intervention strategies, and explore different approaches to supporting young people in various mental health situations. Assessments: To demonstrate understanding and competence, participants may be required to complete assessments or evaluations. These can include quizzes, written assignments, or practical assessments where participants demonstrate their skills in responding to youth mental health scenarios. Duration and Schedule: The duration of the course can vary, ranging from a few hours to multiple days, depending on the training provider. It may be offered as a full-time or part-time program, and the sessions may be conducted during weekdays or weekends to accommodate different schedules. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price. Continuing Studies After completing the RQF Level 2 First Aid for Youth Mental Health course, you may consider several options for continuing studies or professional development in the field of youth mental health. Here are a few potential avenues to explore: Advanced First Aid Courses: If you wish to further enhance your first aid skills, you can explore advanced first aid courses that specialize in mental health. These courses may provide more in-depth knowledge and practical skills in supporting individuals with specific mental health conditions. Mental Health Awareness Courses: To broaden your understanding of mental health across different age groups or specific mental health conditions, you can consider enrolling in mental health awareness courses. These courses provide comprehensive knowledge about mental health, its impact, and strategies for support. Youth Work and Counselling Courses: If you are interested in pursuing a career in youth work or counselling, you might consider enrolling in relevant courses or qualifications. These can provide a deeper understanding of therapeutic approaches, counselling techniques, and effective interventions for working with young people facing mental health challenges. Higher Education Degrees or Certifications: If you're looking for more extensive education and professional credentials, you can explore pursuing higher education degrees or certifications in fields related to mental health, psychology, counseling, or youth work. These programs often offer specialized tracks or modules focused on youth mental health. Continuous Professional Development (CPD): Engaging in ongoing professional development opportunities is essential for staying up to date with the latest research, practices, and approaches in youth mental health. You can attend workshops, conferences, webinars, and seminars that specifically focus on youth mental health and related topics. Volunteer and Practical Experience: Actively volunteering with organizations or programs that support youth mental health can provide valuable hands-on experience and further develop your skills. Volunteering opportunities allow you to work directly with young people and gain a deeper understanding of their mental health needs. Remember to research and choose reputable and recognized training providers or institutions when considering any further education or professional development opportunities. It's important to align your studies with your career goals and interests while ensuring the courses or programs meet industry standards and requirements.

HR and Leadership Management is one of our best selling and most popular course. This course is suitable for anyone aspiring to or already working in Leadership and looks at skills needed to improve Leadership. By taking this course you will gain the necessary skills to perform effectively in this field. The HR and Leadership Management is organised into 3 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 29hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for £9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for £15.99, which will reach your doorsteps by post.

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

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