3610 Model courses in Cardiff delivered On Demand

Highlights of the Course Course Type: Online Learning Duration: 3 Hours 21 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about addiction counselling and psychology Understand the core competencies and principles of addiction counselling and psychology Explore the various areas of addiction counselling and psychology Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert addiction counsellor Alcohol and Drug Addictions Psychology Diploma Course Master the skills you need to propel your career forward in addiction counselling and psychology. This course will equip you with the essential knowledge and skillset that will make you a confident addiction counsellor and take your career to the next level. This comprehensive alcohol and drug addictions psychology course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying this alcohol and drug addictions psychology course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective addiction counselling and psychology practice and equip you with the essential skills, confidence and competence to assist you in the addiction counselling and psychology industry. You'll gain a solid understanding of the core competencies required to drive a successful career in addiction counselling and psychology. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for addiction counsellor or for people who are aspiring to specialise in addiction counselling and psychology. Enrol in this alcohol and drug addictions psychology course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive alcohol and drug addictions psychology course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this addiction counselling and psychology can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This alcohol and drug addictions psychology course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This alcohol and drug addictions psychology course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This alcohol and drug addictions psychology course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Theories of Addiction Promo Video 00:01:00 The Moral Model 00:05:00 The Psychological Model 00:06:00 The Medical/Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling And Therapy 00:07:00 Harm Reduction Model 00:04:00 Treatments In Practice 00:05:00 Addiction in Society Drug Policies, Legislation And Decriminalisation 00:08:00 Community Change, Outreach, Harm Reduction Or Abstinence 00:06:00 Alcohol And Drug Education 00:05:00 Addiction in Families Co-Dependency, Children Of Alcoholic Families, Parenting Styles And Family Factors 00:08:00 Relapse For Families, 'Letting Go', Dependent Attitudes And Dependent Behaviours 00:04:00 Al-Anon 00:04:00 The Intervention Approach 00:04:00 Working with Addiction Why Be A Helper 00:03:00 Helper Qualities And Attitudes 00:03:00 The Art Of Accepting 00:03:00 Counselling/Helping Skills 00:04:00 Assessment Assessment - Alcohol and Drug Addictions Psychology Diploma 00:10:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This beginner to the intermediate-level course on .NET MAUI mobile application development enables you to advance your Visual Studio coding skills and implement interfaces using XAML. Learn to develop and publish Minimal API with .NET Core using event driven development while understanding logic and syntax when working on the .NET environment.

Welcome to a hands-on SQL course. In this course, you will learn the fundamentals of SQL databases and the relational model. We will cover core concepts such as inserting data into SQL databases, extracting data from SQL databases, aggregations, subqueries, joins, unions, and window functions. This course will help you write complex queries to perform tasks as required in technical interviews or on the job.

Course Overview Learn how to create a low poly scene in Maya and import it into Unity for mobile game development, with this step-by-step training course. The Modeling Environments for Mobile Games in Maya & Unity 3D course covers everything you need to know to set up and create your project. It will teach you how to import and export the models from Maya to Unity, model the base of the island, add special camera effects, birds and much more. This course is ideal for game developers and 3D artists. By the end of this training, you will be able to set up the scene in Unity 3D to create the incredible mood and atmosphere of the Monument Valley game. You will have a range of in-demand skills required to work across a wide range of creative fields. This best selling Modeling Environments for Mobile Games in Maya & Unity 3D has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Modeling Environments for Mobile Games in Maya & Unity 3D is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Modeling Environments for Mobile Games in Maya & Unity 3D is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Modeling Environments for Mobile Games in Maya & Unity 3D is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Modeling Environments for Mobile Games in Maya & Unity 3D, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Modeling Environments for Mobile Games in Maya & Unity 3D will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Modeling Environments for Mobile Games in Maya & Unity 3D to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Master the art of change with our comprehensive Change Management Diploma. Dive into the science of attention management, from understanding types of attention to mastering the Attention Zones Model. Learn effective goal-setting with SMART strategies, prioritise your time, overcome procrastination, and maintain unwavering focus. Enhance your journey with powerful meditation techniques. Equip yourself with the essential skills to lead and adapt in dynamic environments through this transformative course. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access The Change Management Diploma (CPD QS) course helps learners understand and improve their attention management skills. They will learn about different types of attention and how to train their minds to focus better. The course introduces a model to understand attention zones, helping learners identify when they are most productive. It also covers setting and achieving goals using effective strategies, including the SMART goals method. Time management is a key focus, teaching learners how to prioritise tasks and avoid procrastination. Techniques for maintaining focus and incorporating meditation into daily routines are also included. By the end of the course, learners will have practical skills to manage their attention, set and achieve goals, and stay focused on their tasks, enhancing both personal and professional productivity. Course Curriculum: Module 01: Introduction to Attention Management Module 02: Types of Attention Module 03: Training Your Attention Module 04: Attention Zones Model Module 05: Strategies for Goal Setting Module 06: SMART Goals Module 07: Prioritising Your Time Module 08: Procrastination Module 09: Keeping Yourself Focused Module 10: Meditation Learning Outcomes: Understand principles of attention management and its impact on productivity. Identify and distinguish different types of attention and their characteristics. Develop skills for training and improving your attention span effectively. Apply the Attention Zones Model to enhance focus and efficiency. Create and implement SMART goals for better time management. Use strategies to combat procrastination and maintain sustained focus. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals seeking to improve their attention management. Students wanting to enhance their focus and productivity. Professionals aiming to set and achieve SMART goals. Those interested in learning effective time prioritisation techniques. Anyone looking to reduce procrastination and stay focused. Career path Project Manager Human Resources Manager Business Consultant Training and Development Specialist Life Coach Time Management Coach Certificates Digital certificate Digital certificate - Included Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

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

Overview Sometimes, it can be difficult to recruit the perfect candidate for the organisation and terminate those who are unable to reach the goals. The Employee Recruitment and Termination Course can make this task less complicated. This course aims to give you a clear understanding of both the recruitment and termination process. This course is divided into easy-to-follow modules. These modules will educate you on the recruitment process model and the method as well. Here, you will learn about the essentials of human resource management. In addition, the course will teach you effective skills for virtual interviewing. Furthermore, you will get the chance to enhance your understanding of the employee termination procedure. By the end of the course, you will have the ability to select the right candidate for your organisation. Start today! Course Preview Learning Outcomes Familiarise yourself with the recruitment process model Deepen your knowledge of the recruitment method Acquire effective human resource management skills Grasp the techniques of virtual interviewing Get introduced to the employee termination procedure 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 What Skills Will You Learn from This Course? Recruitment Virtual interviewing HRM Employee termination Who Should Take This Employee Recruitment and Termination 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 Employee Recruitment and Termination 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. Employee Recruitment and Termination Course Certification After completing and passing the Employee Recruitment and Termination Course successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Path​ This exclusive Employee Recruitment and Termination Course will equip you with effective skills and abilities and help you explore career paths such as  Recruitment Consultant Recruitment Team Leader Recruitment Manager HR Manager Business Owner/Entrepreneur Module 01: Introduction To Recruitment Process Model Introduction to Recruitment Process Model 00:42:00 Module 02: Recruitment Methods Recruitment Method 00:36:00 Module 03: Human Resource Management Human Resource Management 00:43:00 Module 04: Key Skills And Issues In Recruitment Function Key Skills and Issues in Recruitment 00:43:00 Module 05: Virtual Interviewing Virtual Interviewing1 00:34:00 Module 06: Employee On-Boarding Employee Onboarding 00:37:00 Module 07: Introduction To Employee Termination Introduction to The Employee Termination 00:50:00 Module 08: The Employee Termination Procedure Employee Termination Letter and Guide 00:37:00 Module 09: Employee Termination Letter And Guide The Employee Termination Procedure 01:03:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

A Perfect Guide To Home Business Overview Today's job market is not a picnic, as there are thousands of people competing for the same position. But if you have the skills to excel in life, there's an easy solution. Start your own business from home, and Home Business Perfect Guide course will help you in this endeavour to achieve the utmost level of success. This A Perfect Guide To Home Business course is directed towards the highly motivated individuals who are looking to work from home. You will be able to improve your soft skills and earn a lot of money. This course discusses the different sorts of home based businesses you can do and also looks at the different traits required to carry out these businesses successfully. The possibilities of a home based business is endless and you will have to get this course to discover them all. Learning Outcomes Grasp the core principles of business and entrepreneurship. Identify the different types of home-based business models. Understand the fundamentals of online business and digital marketing. Develop the skills necessary to manage and operate a successful home business. Gain insights into the legalities and financial aspects of home business ownership. Why You Should Choose A Perfect Guide To Home Business Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? A Perfect Guide To Home Business is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our A Perfect Guide To Home Business is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. A Perfect Guide To Home Business Module 01: Introduction to Business Introduction to Business 00:36:00 Module 02: Introduction to Entrepreneurship Introduction to Entrepreneurship 00:22:00 Module 03: What Is a Home-Based Business What Is a Home-Based Business 00:33:00 Module 04: Introduction to Online Business Introduction to Online Business 00:36:00 Module 05: Introduction to Digital Marketing Introduction to Digital Marketing 00:37:00 Module 06: E-Commerce Business Model: Dropshipping E-Commerce Business Model: Dropshipping 00:18:00 Module 07: E-Commerce Business Model: Affiliate Marketing E-Commerce Business Model: Affiliate Marketing 00:40:00 Module 08: Opportunities for Home-Based Income Opportunities for Home-Based Income 00:26:00 Module 09: At-Home Professional Service Provider Business At-Home Professional Service Provider Business 00:27:00 Module 10: Introduction to Freelancing Introduction to Freelancing 00:28:00

Empower yourself with comprehensive Disability Awareness and Inclusion Training. Explore legal compliance, effective communication strategies, recruitment tactics, and more. Learn to create inclusive workplaces and champion diversity. Join us to promote equality and advocate for disability rights.

Overview Dive deep into the mesmerising world of particle physics with our comprehensive course titled 'Particle Physics'. Ever pondered the question, 'what is particle physics?' or been intrigued by the standard model of particle physics? This course unravels the mysteries of the universe, starting from the tiniest elementary particles to the vast complexities of nuclear physics. Transitioning from one module to the next, learners will be captivated by the intricacies of particle accelerators and the marvels of radiation detectors. By the culmination of this course, the standard model of particle physics will no longer be an enigma but a fascinating realm of knowledge you've mastered. Learning Outcomes: Understand the foundational concepts and significance of particle physics. Identify and differentiate between various elementary particles. Gain insights into the structure and properties of the nucleus. Delve into the principles and applications of nuclear physics. Comprehend the workings and importance of particle accelerators. Acquire knowledge on radiation detectors and their pivotal role in research. Grasp the intricacies and concepts behind the standard model of particle physics. Why buy this Particle Physics? 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 Particle Physics 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 Particle Physics is suitable for:  Individuals with a keen interest in understanding the universe at a microscopic level. Science students aiming to expand their knowledge in advanced physics topics. Teachers and lecturers seeking to update their curriculum with the latest in particle physics. Researchers in the field of physics looking for a comprehensive refresher course. Enthusiasts eager to delve into the complexities of the universe's building blocks. Prerequisites This Particle Physics 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 Particle Physicist: Average salary range £50,000 - £70,000 Annually Nuclear Engineer: Average salary range £40,000 - £60,000 Annually Radiation Specialist: Average salary range £45,000 - £65,000 Annually Research Scientist (Physics): Average salary range £35,000 - £55,000 Annually Accelerator Operator: Average salary range £30,000 - £50,000 Annually Physics Lecturer: Average salary range £40,000 - £60,000 Annually Course Curriculum Module-01: Introduction to Particle Physics Introduction to Particle Physics 00:22:00 Module-02: Elementary Particles Elementary Particles 00:20:00 Module-03: The Nucleus The Nucleus 00:23:00 Module-04: Nuclear Physics Nuclear Physics 00:18:00 Module-05: Particle Accelerators Particle Accelerators 00:23:00 Module-06: Radiation detectors Radiation Detectors 00:37:00 Module-07: The Standard Model The Standard Model 00:15:00 Assignment Assignment - Particle Physics 00:00:00