4823 Courses

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Master the skills needed to write captivating horror, thriller and murder stories that will leave readers on the edge of their seats! Unlock your creative potential and express yourself through the art of writing. With this course, you'll learn about the fundamentals of creative writing, the development of your writing skills, and how to write both fiction and non-fiction works. You'll learn how to create realistic characters, write believable dialogue, and build suspense in your stories. You'll also explore the techniques used to write poetry, business proposals and other writings. Learning Outcomes: Understand the fundamentals of creative writing Develop your writing skills and style Write fiction and non-fiction works Create compelling characters and dialogue Build suspense and tension in your stories Write poetry, business proposals and other writings Edit, evaluate and get published This course is divided into fourteen modules, each of which is designed to help you improve your writing skills and develop your creative potential. Module 01 provides an introduction to creative writing, covering the basics of writing style, grammar and structure. You will learn about the different genres of writing and how to write compelling stories that engage your readers. In Module 02, you will learn about the development of creative writing, including the history of the craft and the techniques used by successful writers. You will learn about the importance of reading and how to develop your own unique writing style. Module 03 covers the art of novel writing, including how to structure a story, create compelling characters and develop a plot that will keep your readers engaged. In Module 04, you will explore the world of non-fiction writing, learning how to write in a clear and concise manner. Module 05 focuses on the art of creating fictional characters, helping you develop characters that are relatable and interesting to your readers. You will learn about characterisation techniques and how to use them to bring your characters to life. In Module 06, you will learn how to write realistic dialogue, an essential skill for any writer. You will learn about the importance of dialogue in storytelling and how to write dialogue that is natural and engaging. Module 07, the central focus of the course, covers writing horror, thriller and murder stories. You will learn about the different types of stories in these genres and how to create suspense, tension and atmosphere in your writing. Module 08 covers writing for children, including the different types of children's literature and how to write in a way that engages young readers. In Module 09, you will explore the world of poetry, learning about the different types of poetry and how to write in a way that is expressive and engaging. You will learn about rhyme, metre and the use of imagery in poetry. Module 10 covers proposal writing, an essential skill for professionals in many industries. You will learn about the different types of proposals and how to write in a way that is persuasive and compelling. In Module 11, you will develop critical thinking skills, learning how to analyse and evaluate different types of writing. Module 12 covers business writing, an essential skill for professionals in many industries. You will learn about the different types of business writing, such as emails, reports and proposals, and how to write in a way that is clear, concise and professional. In Module 13, you will learn about other types of writing, such as screenwriting, playwriting and travel writing. Finally, Module 14 covers editing, evaluating and getting published. You will learn about the importance of editing and revising your work and how to identify areas for improvement. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring writers Creative individuals looking to improve their writing skills Anyone who wants to learn how to write captivating horror, thriller and murder stories Career path Creative writer: £20,000 - £60,000 per year Content writer: £18,000 - £40,000 per year Journalist: £18,000 - £45,000 per year Author: £10,000 - £200,000 per year

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! According to the World Wildlife Fund, one in four of the world's mammals is facing extinction. The need for conservation professionals has never been greater. If you have a passion for wildlife and want to make a difference, our Conservation Diploma is the perfect starting point. This Diploma in Conservation at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This comprehensive course covers everything you need to know about conservation, from the fundamentals to planning and executing a project. You'll learn about the importance of biodiversity and ecosystems, and gain a deep understanding of the challenges facing our oceans and wildlife. By completing this Conservation Diploma, you will develop a deep understanding of conservation and its role in preserving our planet's natural resources. You will be able to plan and execute a conservation project from start to finish and make informed decisions about how best to protect and conserve wildlife and their habitats. You will be equipped with the skills and knowledge to pursue a career in conservation, or to continue your studies in the field. After this course, you will be able to learn: Understand the fundamentals of conservation Develop an understanding of biodiversity and ecosystems Identify the challenges facing our oceans and wildlife Plan and execute a conservation project Make informed decisions about conservation strategies Pursue a career in conservation or continue studies in the field Why Prefer This Conservation Diploma Course? Opportunity to earn certificate a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS after completing the Conservation Diploma course Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and engaging content. 24/7 tutor support. *** Course Curriculum of Conservation course*** Module 01: The Fundamentals of Conservation Overview of conservation principles, including the importance of preserving natural habitats and biodiversity. Module 02: Introduction to Biodiversity Introduction to biodiversity, its significance, and the threats it faces from human activities and environmental changes. Module 03: Introduction to Ecosystem Covers the basics of ecosystems, including their structure, function, and the interdependence of living organisms. Module 04: Species and Ecosystems Explores the relationship between species and their ecosystems, emphasizing the importance of maintaining ecological balance. Module 05: Wildlife Conservation Discusses strategies and practices for conserving wildlife, including habitat preservation, legal protection, and community involvement. Module 06: Ocean Challenges and Solutions Examines the challenges facing ocean ecosystems, such as pollution and overfishing, and explores potential solutions for their conservation. Module 07: Project Planning Focuses on planning and managing conservation projects, including setting objectives, resource allocation, and monitoring outcomes. Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. After passing the Diploma in Conservation at QLS Level 4 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 120 CPD hours / points Accredited by CPD Quality Standards Module 1: The Fundamentals of Conservation 13:22 1: The Fundamentals of Conservation Preview 13:22 Module 2: Introduction to Biodiversity 14:38 2: Introduction to Biodiversity 14:38 Module 3: Introduction to Ecosystem 14:40 3: Introduction to Ecosystem 14:40 Module 4: Species and Ecosystems 15:34 4: Species and Ecosystems 15:34 Module 5: Wildlife Conservation 12:56 5: Wildlife Conservation 12:56 Module 6: Ocean Challenges and Solutions 15:08 6: Ocean Challenges and Solutions 15:08 Module 7: Conservation Project Planning 12:24 7: Conservation Project Planning 12:24 Assessment (Optional) 14:00 8: Assessment 14:00 Order Your Certificate 02:00 9: Order Your CPD Certificate 01:00 10: Order Your QLS Endorsed Certificate 01:00 Who is this course for? This course is for: Individuals passionate about wildlife conservation Students interested in pursuing a career in conservation Professionals looking to switch to a career in conservation Conservation volunteers seeking to expand their knowledge and skills Requirements You will not need any prior background or expertise to enrol in this Conservation course. Career path After completing this Conservation course, you are to start your career or begin the next phase of your career. Like as: Conservation Officer: £23,000 to £32,000 Wildlife Conservationist: £20,000 to £30,000 Ecologist: £24,000 to £40,000 Environmental Consultant: £22,000 to £40,000 Marine Biologist: £21,000 to £38,000 Park Ranger: £18,000 to £30,000 Certificates Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed CPD Accredited Digital Certificate Digital certificate - £12.99 Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. Diploma in Conservation at QLS Level 4 Hard copy certificate - £99 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Conservation at QLS Level 4, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 99 GBP inside the UK 109 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Explore the Fundamentals of Networking with the Perfect Introduction to Networking Course. Understand the benefits of networking, spot networking opportunities, prepare for an event, and the following up process. Overcome your fears, enrol Today, and take control of your networking!

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Join our Classroom Teaching Assistant course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Classroom Teaching Assistant course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Classroom Teaching Assistant course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Classroom Teaching Assistant. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Classroom Teaching Assistant course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Classroom Teaching Assistant is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Classroom Teaching Assistant course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Classroom Teaching Assistant Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Fundamentals of Teaching Understanding the Development of Children and Young Person 01:00:00 Communication and Professional Relationships with Pupils and Family 01:00:00 Safeguarding the Welfare of Children and Young Person 01:00:00 Module 02: Teaching Methodologies - Part 1 Education - A Group Enterprise 01:00:00 Traits to Develop 01:00:00 Grow the Attention 01:00:00 Learning Good Habits 01:00:00 Importance of Memory 01:00:00 Module 03: Teaching Methodologies - Part 2 Imagination is Important 01:00:00 Breakdown of Thinking Process 00:30:00 Appreciation - An Aesthetic Emotion 00:30:00 Learning Reflexive Activities 01:00:00 Differing Individuals 00:30:00 Module 04: Teaching Methodologies - Part 3 Morality Matters 01:00:00 Different Learning Methods 01:00:00 Different Psychological Exercises 01:00:00 Problems, Situations & Solutions 01:00:00 Measuring the Achievements 01:00:00 Module 05: SEN Teaching Special Educational Needs (SEN) Teacher 00:30:00 Statutory and Regulatory Context for SEN 01:00:00 Principles and Practice of Leadership in Different Contexts 00:45:00 How SEN and Disabilities Affect Pupils' Participation and Learning? 00:45:00 Strategies for Improving the Performance of the Pupils with SEN 00:45:00 Module 06: SENCO Training Whole-school Planning and Organisation 01:00:00 Assessment 00:30:00 Teamwork for SEN: Roles and Functions 01:00:00 Planning for Individual Students with SEN 00:45:00 Teaching and Learning in the Inclusive School 00:45:00 Module 07: Autism Introduction to Autism 00:20:00 Causes and Diagnosis of Autism 00:45:00 Other Conditions Associated with ASD 01:00:00 In-depth Understanding and Dealing with Autistic Behaviour 01:00:00 Socialising and Communication 00:45:00 Choosing Schools 00:45:00 What Should Teachers Do? 00:30:00 Sex Education and Puberty 00:30:00 Interventions: Treatments and Therapies for Autism 00:45:00 Government policies on autism in England 00:30:00 Module 08: ADHD What is ADHD? 00:30:00 Causes of ADHD 00:30:00 Diagnosing ADHD 00:30:00 Treating ADHD 00:30:00 ADHD and Education 00:30:00 Reasonable Adjustments: ADHD 01:00:00 Adults with ADHD 00:30:00 Module 09: Dyslexia What is Dyslexia? 01:00:00 Identifying Dyslexia 00:30:00 Co-occurring Conditions 00:30:00 Diagnosing Dyslexia 00:30:00 Creating Dyslexia Friendly Environment 00:30:00 Solutions for Dyslexia 00:30:00 Mock Exam Mock Exam- Classroom Teaching Assistant 00:20:00 Final Exam Final Exam- Classroom Teaching Assistant 00:20:00