Overview This Deep Learning & Neural Networks Python - Keras: For Dummies course will unlock your full potential and will show you how to excel in a career in Deep Learning & Neural Networks Python - Keras: For Dummies. So upskill now and reach your full potential. Everything you need to get started in Deep Learning & Neural Networks Python - Keras: For Dummies is available in this course. Learning and progressing are the hallmarks of personal development. This Deep Learning & Neural Networks Python - Keras: For Dummies will quickly teach you the must-have skills needed to start in the relevant industry. In This Deep Learning & Neural Networks Python - Keras: For Dummies Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Deep Learning & Neural Networks Python - Keras: For Dummies skills to help you advance your career. Acquire a comprehensive understanding of various Deep Learning & Neural Networks Python - Keras: For Dummies topics and tips from industry experts. Learn in-demand Deep Learning & Neural Networks Python - Keras: For Dummies skills that are in high demand among UK employers, which will help you to kickstart your career. This Deep Learning & Neural Networks Python - Keras: For Dummies course covers everything you must know to stand against the tough competition in the Deep Learning & Neural Networks Python - Keras: For Dummies field. The future is truly yours to seize with this Deep Learning & Neural Networks Python - Keras: For Dummies. Enrol today and complete the course to achieve a Deep Learning & Neural Networks Python - Keras: For Dummies certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. 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 This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies 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 Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
The Diploma in Freelance Writing is designed to teach you the important principles and practical step-by-step techniques for starting a business providing freelance writing services and getting hired as a freelance writer. You will learn: what a freelance writer does, how to develop your skills to succeed as a freelance writer, how to start your own freelance writing business, how to get hired to write for publication, and how to get hired to write for corporate clients. You will also learn the tips and tricks you need to make bid proposals, set your rates, and avoid working for peanuts as a freelance writer. Who is this Course for? Diploma in Freelance Writing is 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 background. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of the English language, numeracy and ICT are required to attend this course. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path This course opens a new door for you to enter the relevant job market and also gives you the opportunity to acquire extensive knowledge along with required skills to become successful. You will be able to add our qualification to your CV/resume which will help you to stand out in the competitive job industry. Course Curriculum Module-1 Introduction to Freelancing 00:30:00 Building a Successful Freelance Writing Career 00:30:00 Types of Freelance Writing 00:30:00 CREATIVE WRITING - An Art 00:30:00 Web Blog Writing 00:30:00 SEO Writing 00:30:00 Module-2 Sales and Marketing writing 00:30:00 Newsletters and Editorial Writing 01:00:00 Magazine Writing 00:30:00 EBook Writing 01:00:00 Choosing the Right Topic- Limitations and Guidelines 00:30:00 Realizing Your Writing Skills 00:30:00 Module-3 Inking your writing Skills 00:30:00 Analyzing Your Writing Needs 01:00:00 How to Establish Credibility 00:30:00 How to Handle Difficult Clients 00:30:00 Finding Freelance Writing Opportunities 00:30:00 Freelance Writing- In a Glimpse 00:30:00 Recommended Reading Recommended Reading: Diploma in Freelance Writing 00:00:00 Mock Exam Mock Exam-Diploma in Freelance Writing 00:20:00 Final Exam Final Exam-Diploma in Freelance Writing 00:20:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
Course Overview Learn the Latest Skills | Acknowledged by CPD & QLS | MCQ Based Exam & Tutor Support | Interactive Video Training Flowers are a symbol of love and affection that can give you an instant mood boost. People all over the world exchange or give flowers as gifts, use them for decorative purposes and celebrate occasions. This Floristry and Flower Arrangement is a comprehensive, instructor-guided course, designed to provide a detailed understanding of the nature of the related sector and your key roles within it. You may find that working as a florist is a great option and a very lucrative business. This Floristry and Flower Arrangement Training course starts off with an introductory section on floristry. You will learn to think differently with each flower you utilize through the creative process. This course is appropriate for seasoned florists as well as those new to the floral field because it will show you how to use fundamental floral abilities in the most beautiful contemporary style. What Will You Learn? How to use floral tools and supplies Recognize different flowers and plants and how to take care of them How to make floral arrangements such as bouquets, corsage, fruit baskets and basket gardens Different elements of floral design Starting your own floral business What classes are included in this package? Earn a digital certificate upon successful completion There are no set schedules, so you can work at your own pace. Our email and live chat specialists are available to assist you 24 hours a day, 7 days a week. On weekdays, you'll have access to a full-time tutor. Learn in a user-friendly, cutting-edge online learning environment. High-quality e-learning study materials Benefit from instant feedback through mock exams and multiple-choice assessments This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Who Should Take This Course? This course will expand your competence and boost your CV with vital abilities and an endorsed lesson attesting to your understanding, whether you're an existing practitioner or an aspiring expert. Career Path Training offered by the Floristry and Flower Arrangement Training could potentially benefit a range of roles, but would particularly enhance careers in: Florist Floral Designer Plant Engineer Event Planners Floral Technologist Floral Grower 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 assessments Assignment Certificate of Achievement 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £119. Please note that overseas students may be charged an additional £10 for postage. Endorsement This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website. Method of Assessment On successful completion of the Floristry and Flower Arrangement Training, you will be required to sit an online multiple-choice assessment. You will need to score 60% or above to pass the course. After successfully passing the exam, you will be able to apply for a Quality Licence Scheme endorsed certificate of achievement. The assessment will be evaluated automatically and the results will be given to you immediately. Retake fee If you do not pass the exam first time, you can purchase the Retake Exam for £1.99 and try again. Course Content Introduction to the Course Introduction to Floristry Services Provided by Florists Flowers and Plants Flower Care and Treatment Choosing Popular Flowers and Fillers Elements and Principles of Design How to Make Floral Arrangements Making Bouquet, Corsage, Fruit Basket & Basket Garden Wedding Floristry Making Funeral Flower Arrangements Beautiful Floral Designs Getting a Job in the Floristry Industry Starting Your Own Floristry Business Conclusion to the Course
Are you ready to dive into the world of cybersecurity and become a skilled Security Analyst? Our Security Analyst Training course is meticulously designed to provide you with the knowledge and expertise needed to protect and defend against the ever-evolving threat landscape. Key Features: CPD Certified Developed by Specialist Lifetime Access The Security Analyst Training course provides a comprehensive understanding of the role and responsibilities of a security analyst. Learners will explore the current threat landscape, identifying and assessing risks that organizations face. The course covers various types and phases of penetration testing, offering hands-on experience in identifying vulnerabilities. Participants will learn about key methodologies and guidelines for maintaining security, as well as the importance of policies and procedures. The curriculum also includes auditing techniques for vulnerability assessments and penetration tests, and interpreting the results of these tests to enhance security measures. By the end of the course, learners will have practical skills and knowledge to effectively protect and secure organizational systems. Course Curriculum Module 01: What is a Security Analyst - Part 1 Module 02: What is a Security Analyst - Part 2 Module 03: What is a Security Analyst - Part 3 Module 04: Threat Landscape - Part 1 Module 05: Threat Landscape - Part 2 Module 06: Threat Landscape - Part 3 Module 07: Risk Assessment - Part 1 Module 08: Risk Assessment - Part 2 Module 09: Risk Assessment - Part 3 Module 10: Types and Phases of Penetration Testing - Part 1 Module 11: Types and Phases of Penetration Testing - Part 2 Module 12: Types and Phases of Penetration Testing - Part 3 Module 13: Methodologies and Guidelines - Part 1 Module 14: Methodologies and Guidelines - Part 2 Module 15: Methodologies and Guidelines - Part 3 Module 16: Policies and Procedures - Part 1 Module 17: Policies and Procedures - Part 2 Module 18: Policies and Procedures - Part 3 Module 19: Auditing Vulnerability Assessment and Pen Test - Part 1 Module 20: Auditing Vulnerability Assessment and Pen Test - Part 2 Module 21: Auditing Vulnerability Assessment and Pen Test - Part 3 Module 22: Penetration Testing Results - Part 1 Module 23: Penetration Testing Results - Part 2 Module 24: Penetration Testing Results - Part 3 Learning Outcomes: Understand roles and responsibilities of a security analyst. Identify current and emerging threats in the threat landscape. Conduct comprehensive risk assessments and risk management. Execute penetration tests through various types and phases. Apply methodologies and guidelines in security analysis. Develop and implement security policies and procedures. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Security Analyst Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Security Analyst Training. Moreover, this course is ideal for: Aspiring security analysts seeking foundational knowledge. IT professionals transitioning to security roles. Managers responsible for cybersecurity. Students pursuing cybersecurity degrees. Security enthusiasts aiming to enhance their skills. Requirements There are no requirements needed to enrol into this Security Analyst Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Security Analyst Training course. Career path After finishing this Security Analyst Training course you will have multiple job opportunities waiting for you. Some of the following Job sectors of Security Analyst Training are: Security Analyst Penetration Tester Risk Assessor Vulnerability Auditor Cybersecurity Consultant Information Security Officer Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.
Unlock the complexities of modern political landscapes with our comprehensive course on Political Study. Delve into ideologies like Conservatism, Nationalism, Socialism, Liberalism, Ecologism, and Multiculturalism, gaining a deep understanding of their historical roots, contemporary relevance, and global impact. Key Features: CPD Certified Developed by Specialist Lifetime Access In this Political Study course, learners will explore various aspects of government structures and political systems. They will gain an understanding of how political power is organized and distributed in both the UK and the US, including the roles of the executive, legislative, and judicial branches. They will also learn about the influence of political parties, pressure groups, and electoral processes on shaping policies and decision-making. The course delves into democratic principles and mechanisms like elections and referendums, as well as the concepts of nationalism, multiculturalism, and feminism in modern societies. Learners will study different political ideologies such as conservatism, liberalism, socialism, anarchism, and ecologism, understanding their historical backgrounds and contemporary relevance. Additionally, the course covers important geopolitical issues like the European Union and the concept of devolution, providing a comprehensive foundation for understanding political systems and ideologies globally. Course Curriculum Module 01: Introduction to Politics Module 02: Introduction to the British Constitution Module 03: The Constitutional Framework of US Government Module 04: The Executive Branch of Government Module 05: The Legislative Branch of Government (Congress) Module 06: The Judiciary Module 07: The Judicial Branch of Government Module 08: The Prime Minister and Cabinet Module 09: Political Parties Module 10: Pressure Groups Module 11: Elections and Referendums Module 12: The Electoral Process and Direct Democracy Module 13: Parliament Module 14: Comparative Approaches Module 15: Democracy and Participation Module 16: Nationalism Module 17: Multiculturalism Module 18: Feminism Module 19: Conservatism Module 20: Liberalism Module 21: Socialism Module 22: Anarchism Module 23: Ecologism Module 24: The European Union (EU) Module 25: Devolution Learning Outcomes: Understand British and US constitutional frameworks and political branches. Analyze roles of judiciary, prime minister, and political parties. Evaluate electoral processes, democracy, and direct democracy mechanisms. Compare ideologies like nationalism, liberalism, socialism, and ecologism critically. Discuss multiculturalism, feminism, conservatism, and their political implications. Examine EU policies and impacts of devolution on political systems. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Political science students seeking comprehensive political theory knowledge. Researchers interested in comparative political systems and ideologies. Professionals in public policy analysis and governmental advisory roles. Individuals preparing for civil service examinations and political consultancy. Educators focusing on political theory and constitutional law. Career path Political Analyst Policy Researcher Government Advisor Political Consultant Public Policy Officer Constitutional Law Expert Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.
In the modern world, the significance of Personal Development coaching cannot be overstated. An online training course in this domain, encompassing modules from Introduction to Personal Development Coaching to Setting Up as a Coach, equips individuals with the tools necessary to guide others towards self-improvement. The demand for such skills is palpable, as people seek guidance in navigating life's challenges and realizing their potential. Learning these skills not only enriches personal growth but also enhances employability, particularly in the UK job market, where the average salary for Personal Development Coaches ranges from £25,000 to £60,000 per annum depending on experience and specialization. With the sector witnessing a steady increase in demand, up by 10% annually, individuals trained in Personal Development coaching stand poised to capitalize on emerging opportunities. By mastering Effective Communication, Management, and Time Management skills, among others, graduates of this course can not only empower themselves but also positively impact the lives of others, fostering a culture of continual growth and self-improvement. Key Features of This Personal Development coaching Course: CPD Certified Personal Development coaching Course. Developed by Specialist Lifetime Access Course Curriculum of This Personal Development Coach Online Training Course: Module 01: Introduction to Personal Development Coach Module 02: Introduction to Coaching and Mentoring Module 03: Aspects of Coaching and Mentoring Module 04: Ethical Aspects of Coaching and Mentoring Module 05: Fundamental Qualities of a Coach Module 06: Life Coaching Methods Module 07: Understanding Spiritual Life Coaching Module 08: Key Themes of NLP Module 09: Cognitive Behavioural Therapy Module 10: Effective Communication Skills Module 11: Personal Skills Module 12: Management Skills Module 13: Time Management Module 14: Organisational Skills Module 15: Improvement of Presentation Skills Module 16: Motivation and Mindset Module 17: Visualising Whole Life Goals Module 18: Development of Personality Module 19: Setting Up as a Coach Learning Outcomes: Identify Personal Development Coaching ethics and ethical aspects in mentoring relationships. Demonstrate effective communication and management skills in Personal Development Coaching sessions. Apply cognitive behavioural therapy techniques to support clients Personal Development. Analyse and apply key themes of neuro-linguistic programming (NLP). Develop personal skills and cultivate a growth mindset for coaching. Establish oneself as a professional coach with organisational and presentation skills. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Personal Development Coach Online Training course is accessible to anyone eager to learn more about this topic. Through this Personal Development course, you'll gain a solid understanding of Personal Development Coach Online Training. Moreover, this course is ideal for: Individuals seeking to become certified personal development coaches. Professionals in counselling, HR, or related fields desiring coaching skills. Entrepreneurs aiming to offer coaching services in their businesses. Students interested in enhancing personal and professional development competencies. Those wishing to transition to a career in life coaching. Requirements There are no requirements needed to enrol into this Personal Development Coach Online Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Personal Development Coach Online Training course. Career path After finishing this Personal Development Coach Online Training course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of Personal Development Coach are: Life Coach - £20K to £60K/year. Personal Development Trainer - £25K to £50K/year. Corporate Coach - £30K to £70K/year NLP Practitioner - £25K to £45K/year Motivational Speaker - £20K to £100K/year. Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.
Database Design and Data Normalization Course Summary Relational Databases & Data Normalisation Overview Training Courses London. Learn how to decide which tables and columns are required for a database, plan relationships, how to decide on data types and how to relate tables. Database Design and Data Normalization Course Description Session 1: Introduction to Relational Databases The Database Approach Database Management Systems The function of a Database Management System The Processing Architecture The Schema Architecture The Storage Architecture An overview of Database System Development An overview of general database principles Session 2: Conceptual Data Models Overview of Entity Models Entities and how to identify them Attributes and how to identify them Relationships and their qualities Building an Entity Relationship Diagram Resolving many-to-many relationships Sub-type and Super-type Relationships Arc Relationships Recursive Relationships Constraints and Assumptions Normalization to the First Normal Form (1NF) Normalization to the Second Normal Form (2NF) Normalization to the Third Normal Form (3NF) Exercises: Analyzing a specification Creating an Entity Relationship Diagram from it Session 3: The Relational Model Relational Structure Relational Terminology Domains A Relational schema Candidate keys and Primary Keys Foreign Keys Key Constraints Attribute Constraints Implementing Sub-type/Super-type Relationships Views Denormalization using Pre-joined Tables Denormalization using Derived Data An Introduction to Structured Query Language (SQL) Simple Queries Simple Updates of the Data Included in the Database Design and Data Normalization Courses: Database Design and Data Normalization Course Certificate on completion Database Design and Data Normalization Course Manual Practical Database Design and Data Normalization Course exercises, Database Course Homework / Database Course Revision work After the course, 1 free session for questions online Database Course via Gotomeeting.com. Max group size, online and in classroom, on this Database Course is 4.