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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 Data Science & Machine Learning with Python. 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 Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99. Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand. On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00
Working in confined spaces is extremely dangerous. Proper precautions and training are required before working long hours in a small, compact area. Every year, many people are seriously injured or killed due to inadequate training, faulty equipment, and negligence. This Working in Confined Spaces course is designed to provide learners with an understanding of the legal requirements outlined in the Confined Space Regulations 1997. It covers the risks associated with confined space entry and working and safe work practices, appropriate control measures, and emergency procedures. Why choose this Working in Confined Spaces course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Learning Objectives After completing this Working in Confined Spaces course, the learner will be able to: Gain a better understanding of the dangers of working within confined spaces. Understand the law regarding working in confined spaces. Know the procedures to assess and address risks. Identify imposed regulatory practices and employer responsibilities. Understand how to take necessary protective measures or conduct emergency procedures. Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Asbestos Awareness Training course. Who is this course for? This Working in Confined Spaces course is ideal for anyone who works in a building or facility that requires the knowledge of working in confined spaces. Those who need this course include: Workers working in tunnels Workers working in sewers Workers working in pits Workers working in tanks Requirements To enroll in this Working in Confined Spaces course, students must fulfill the following requirements: Good Command over English language Be energetic and self-motivated Basic computer Skill You must be at least 15 years old Career path After completing this Working in Confined Spaces course, you will be eligible to work in the following fields: Mining Industry Storage Vessels Engineering Industry Excavation Industry Exploration Industry Mineral extraction Industry Automobile industry
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Audiology Course Online: Audiology Do you want to learn about interdisciplinary collaboration and ethical considerations within the field of audiology? If so, then quickly enrol in our audiology course. An audiology course covers the fundamental principles of hearing science and diagnostic procedures. Also, the audiology course explains rehabilitation techniques for individuals with hearing impairments. Students in the audiology course learn about the anatomy and physiology of the auditory system and audiometric testing methods. Moreover, the audiology course teaches hearing aid technology, cochlear implants, and communication strategies for patients across the lifespan. The audiology course curriculum typically includes practical training in conducting assessments, interpreting results, and counselling patients. Enrol in our audiology course if you are interested in auditory processing disorders, balance disorders, and research methodologies in audiology. Special Offers of this Audiology: Audiology Course This Audiology: Audiology Course includes a FREE PDF Certificate. Lifetime access to this Audiology: Audiology Course Instant access to this Audiology: Audiology Course Get FREE Tutor Support to this Audiology: Audiology Course [ Note: Free PDF certificate as soon as completing the Audiology Course Online: Audiology Course] Audiology Course Online: Audiology This Childcare and Audiology Course consists of 10 modules. Discover the world of audiology with our comprehensive Audiology course! Dive deep into audiology principles, practices, and techniques. Gain expertise in audiology assessments and treatments. Our Audiology course equips you with essential skills to excel in audiology and make a significant impact. Enroll today to advance your career in audiology! Who is this course for? Audiology Course Online: Audiology This audiology course is intended for interested persons who want to improve their knowledge and abilities in this subject. Requirements Audiology Course Online: Audiology To enrol in this Audiology Course, students must fulfil the following requirements: Audiology: Good Command over English language is mandatory to enrol in our Audiology Course. Audiology: Be energetic and self-motivated to complete our Audiology Course. Audiology: Basic computer Skill is required to complete our Audiology Course. Audiology: If you want to enrol in our Audiology Course, you must be at least 15 years old. Career path Audiology Course Online: Audiology Completing the audiology course can lead to fascinating employment options in a variety of related sectors.
Working in confined spaces is extremely dangerous. Proper precautions and training are required before working long hours in a small, compact area. Every year, many people are seriously injured or killed due to inadequate training, faulty equipment, and negligence. This Working in Confined Spaces course is designed to provide learners with an understanding of the legal requirements outlined in the Confined Space Regulations 1997. It covers the risks associated with confined space entry and working and safe work practices, appropriate control measures, and emergency procedures. Why choose this Working in Confined Spaces course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the course. Learning Objectives After completing this Working in Confined Spaces course, the learner will be able to: Gain a better understanding of the dangers of working within confined spaces. Understand the law regarding working in confined spaces. Know the procedures to assess and address risks. Identify imposed regulatory practices and employer responsibilities. Understand how to take necessary protective measures or conduct emergency procedures. Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Asbestos Awareness Training course. Who is this course for? This Working in Confined Spaces course is ideal for anyone who works in a building or facility that requires the knowledge of working in confined spaces. Those who need this course include: Workers working in tunnels Workers working in sewers Workers working in pits Workers working in tanks Requirements To enroll in this Working in Confined Spaces course, students must fulfill the following requirements: Good Command over English language Be energetic and self-motivated Basic computer Skill You must be at least 15 years old Career path After completing this Working in Confined Spaces course, you will be eligible to work in the following fields: Mining Industry Storage Vessels Engineering Industry Excavation Industry Exploration Industry Mineral extraction Industry Automobile industry
Course Overview The Teaching Assistant Level 1, 2 & 3 Diploma – CPD Accredited is a comprehensive programme designed to equip learners with the core knowledge and professional understanding required to support teaching and learning across a variety of school environments in the UK. Spanning the foundational to advanced levels, this course explores the structure of the UK education system, school policies, student development, and subject-specific teaching strategies. Whether you're new to the role or aiming to progress in your educational support career, this diploma provides a structured progression through essential modules. Learners will develop a strong grasp of national curriculum requirements, child behaviour, leadership in education, and how to enhance literacy, numeracy, and science understanding in pupils. On successful completion, learners will be well-prepared to pursue a rewarding support role in primary or secondary education, confidently assisting teachers and contributing meaningfully to pupil achievement. Course Description This course delves into the multi-layered responsibilities of a Teaching Assistant, from understanding key educational frameworks to fostering positive learning environments for children of all abilities. The Level 1 content introduces foundational knowledge such as school structures, safeguarding policies, and the TA’s professional role. At Level 2, learners explore core curriculum frameworks including EYFS, SEN support, ICT integration, and phonics. Level 3 builds advanced teaching knowledge, covering literacy and numeracy strategies, curriculum expectations for Key Stages 1 and 2, and leadership communication. Each module is thoughtfully developed to reflect the current educational standards in England, supporting learners in building the theoretical understanding necessary to contribute effectively in a classroom setting. The course is CPD accredited, ensuring that learners benefit from recognised training that aligns with school expectations. Ideal for both aspiring and current teaching assistants, this diploma offers a structured path towards greater responsibility and impact in educational support roles. Course Modules Level 1 Curriculum Module 01: Teaching Assistant Overview Module 02: Professional Developments for a TA Module 03: Working with the School and Its Policies Module 04: Primary Education in the UK Module 05: Providing the Best Learning Environment Module 06: Types of Schools in the UK Module 07: Career Prospects for TAs in the UK Level 2 Curriculum Module 01: Discussion on Curriculum, Assessment and Monitoring Module 02: National Curriculum in England Module 03: Importance of Early Years in Development Module 04: EYFS Teaching Techniques Module 05: Learn to Implement ICT, Literacy and Numeracy Development Processes as a TA Module 06: Teaching Phonics Module 07: Jolly Phonics Module 08: Child Development and the SEN Support Module 09: Understanding Behaviour & Relationships as a TA Module 10: The Skills of Teacher Leadership Module 11: Mentoring as part of effective leadership Level 3 Curriculum Module 01: English Teaching Strategies Module 02: English Requirements at Key Stage 1 Module 03: English Requirements at Key Stage 2 Module 04: Mathematics for Key Stage 1 Module 05: Mathematics for Lower Key Stage 2 Module 06: Teaching Strategies for Mathematics Module 07: Science for Key Stage 1 Module 08: Science for Key Stage 2 Module 09: Science Teaching Strategies Module 10: Geography and History Study Programme Module 11: Registration, Inspection, and Quality Improvement Module 12: Experienced TAs Maintain Strong Communications with the Students (See full curriculum) Who is this course for? Individuals seeking to start a career in educational support. Professionals aiming to formalise their role as a Teaching Assistant. Beginners with an interest in the UK education sector. Parents or carers interested in understanding how schools operate. Volunteers or support staff wanting to take on more responsibility in schools. Career Path Teaching Assistant (Primary or Secondary Education) Learning Support Assistant SEN Teaching Assistant EYFS Support Worker Classroom Support Staff Behaviour Support Assistant Education and Child Development Officer
Boost your skills today by taking this Children and Adolescents Counselling Course and become a professional counsellor, add value to your CV and help yourself stand out from the crowd, even start your own business with this online training. In this course, you will learn everything that takes to become a professional counsellor specialising in working with children and adolescents. Learn what language to use in counselling children and teenagers, and learn how to diagnose and help resolve issues causing emotional or behavioural problems, such as learning disabilities, excessive anger, attention deficit disorder, hyperactivity, anxiety and depression. You will also be focusing on 'child bullying' and 'child abuse' and learn how to deal with the victims of childhood bullying or abuse. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certificate of Achievement 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 £69. Please note that overseas students may be charged an additional £10 for postage. CPD Certificate of Achievement from Janets 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. Who is this course for? Children and Adolescents Counselling Course is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This course is designed by industry experts so you don't have to worry about the quality. Most importantly, this course does not require any experience or qualification to get enrolled. You will learn everything that is required from this course directly. This is a great opportunity for all student from any academic backgrounds to learn more on this subject.
Being able to speak English is much different than mastering the language and using it accurately. Understanding English parts of speech and sentence structure are key to improving your speaking, writing, listening and reading. By the end of this course, you’ll have valuable skills that will help you quickly differentiate between the tenses and verbs and use each one in the proper situation, and form sentences using any of the tenses in the affirmative, negative and question forms. Learning Outcomes Confidently apply fundamental rules of English grammar in written communication tasks. Construct grammatically correct sentences with appropriate punctuation and capitalisation. Identify and rectify common grammatical errors and spelling mistakes effectively. Develop a deeper understanding of sentence structure and syntactic elements. Formulate clear and concise questions using correct grammatical structures. Demonstrate proficiency in spelling and utilise spelling conventions accurately. Enhance punctuation skills to improve clarity, coherence, and readability of written content. Analyse and interpret complex sentences to identify their grammatical components accurately. Apply strategies to enhance writing quality and coherence, avoiding common grammatical pitfalls. Employ advanced grammar knowledge to refine language usage and express ideas more precisely. Why choose this course Affordable, Accessible, informative and well-structured study materials Earn a globally recognised accredited qualification Study in your own time, at your own pace, through any device Benefit from feedback through mock exams and multiple-choice assessments Excellent career advancement/career switch opportunities Get 24/7 help or advice from our email and live chat teams Who is this course for Language enthusiasts aiming to improve their written English skills for personal or professional growth. Students seeking to enhance their understanding and application of English grammar rules. Professionals who require strong written communication skills in their workplace or academic settings. Individuals preparing for English language proficiency exams or certification tests. Non-native English speakers looking to improve their English language proficiency and writing abilities. Entry requirements This course is available to learners of all academic backgrounds, but you must be 16 or above to undertake the qualification. Apart from that, all you need is an internet connection, a good understanding of English and a passion for learning. Certification CPD Accredited Certificate 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. Career path Writer/Author Editor/Proofreader Content Creator Journalist Copywriter Language Teacher/Tutor Communications Specialist Public Relations Officer Course Content Module 1: Introduction to the Course Module 2: The Basics of Grammar Module 3: The Basics of Sentence Module 4: Structure of Sentence Module 5: Question Module 6: Punctuation & Capitalisation Module 7: Spelling Module 8: Common Mistakes & Ways to Improve
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