Teaching Assistant Level 3 Qualification Enhance your efficiency in the teaching profession and gear up your career opportunities in this noble sector with the most exclusive Level 3 Award in Education and Training (RQF) qualification. The Level 3 Award in Education and Training (RQF) qualification is a level 3 Award in Education & Training AET(former PTLLS) which has been regulated by the UK's Govt. and awarded by Focus, the UK's fastest-growing awarding organisation. Focus is a well-established awarding organisation governed by Ofqual, ensuring professionalism and appreciation of the qualifications. This Level 3 Award in Education and Training (RQF) qualification aims to improve your knowledge of the education and training sector. Learners who complete this certification will have a good understanding of the skills and information that a qualified teacher or education professional must possess. You will also achieve a globally recognised certification to boost your confidence and establish a rewarding career in the teaching sector. Guess what's more!!! Along with this outstanding Level 3 Award in Education and Training (RQF) qualification, learners will get two Premium CPD accredited courses completely FREE!!! Courses are: Level 3 Diploma in Speech Therapy and SEN Teaching Phonics Teaching Diploma Level 3 These courses will help to boost the learning and enrich your speech therapy and phonics teaching proficiency. Enrol now and step forward for a glorious future!!! Qualification Summary Qualification type: Focus Level 3 Award Qualification title: Focus Level 3 Award in Education and Training (RQF) Accreditation status: Accredited Level: 3 Guided Learning Hours (GLH): 48 Total Qualification Time (TQT): 120 Qualification number (QN): 601/6099/8 ****Qualification Curriculum**** **Level 3 Award in Education and Training (RQF)** Unit 1: Understanding Roles, Responsibilities and Relationships in Education and Training Unit 2: Understanding and Using Inclusive Teaching and Learning Approaches in Education and Training Unit 5: Understanding Assessment in Education and Training ***Curriculum of The FREE Courses*** **Level 3 Diploma in Speech Therapy and SEN Teaching** Speech Therapy Module 01: An Overview of Speech Therapy Module 02: The Science of Speech Module 03: The Anatomy of Speech Module 04: Characteristic of Speech: Linguistic Discipline Module 05: Literacy and Language Development Module 06: Child Speech & Language Disorders Module 07: Adult Speech & Language Disorders SEN Teaching Assistant Module 01: Special Education Needs (SEN) An Overview Module 02: SEN Support Module 03: High Quality Teaching for Pupils with SEN Module 04: SEN Teaching Methodologies Module 05: Communication and Interaction Module 06: Cognition and Learning Module 07: Physical Development And Skills Module 08: Sensory or Physical Needs Module 09: Working in Partnership **Phonics Teaching Diploma Level 3** Module 01: Introduction to Phonics Education Module 02: Role of Early Phonics Teaching Module 03: Career as Phonics Teacher Module 04: Teaching Phonics Module 05: Jolly Phonics Module 06: Involving Parents and Carers Module 07: Speaking and Phonological Awareness Module 08: Systematic Assessment and Record-Keeping Module 09: Meeting Individual Needs Module 10: Cognitive Approaches in Dyslexia Module 11: Phonics for Deaf Children Module 12: Teaching Higher Level of Phonics Learning Outcomes What skills will I gain from this Level 3 Award in Education and Training (RQF) Qualification? Understand the underlying fundamentals of teaching and learning Make a practical approach to session planning Explore the various approaches to learning Determine the students' desires and long-term goals Implement strategies for assessing your students' potential You will become an expert in education and training You will gain knowledge in teacher expectations & attributions and much more Course Duration Total Qualification Time This is an estimate of the total length of time it is expected that a learner will typically take to achieve and demonstrate the level of attainment necessary for the award of the qualification i.e. to achieve all learning outcomes. Total Qualification Time is GLH and an estimate of the number of hours a learner is likely to spend in preparation, study, or any other learning including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor, or tutor. The credit value, where given, for qualification, is determined by TQT, as one credit corresponds to 10 hours of learning. Total Qualification Time for this qualification is 120 hours. Guided Learning Hours These hours are made up of all contact time, guidance, or supervision of a learner by a lecturer, supervisor, tutor, trainer, or other appropriate provider of education or training. Guided Learning Hours for this qualification is 48. Assessment Unit 1: Understanding roles, responsibilities and relationships in education and training: You will be required to submit a written assignment demonstrating your knowledge of legal responsibilities, equality and diversity, individual learner needs, maintaining a safe and supportive learning environment, and your role as a teacher and your superiors. Unit 2: Understanding and using inclusive teaching and learning approaches in education You will be required to complete a written assignment demonstrating your knowledge and understanding of inclusive teaching and learning, as well as your understanding of your own role's strengths and limitations, how to motivate learners, ground rules, and teaching and learning resources. You must perform a micro-teach (15 minutes - 1 hour long) to a group of at least three people of your choosing. Unit 5 - Understanding assessment in education and training You will be required to complete a written assignment that reflects your knowledge of the purpose of assessment, different assessment types, how to conduct assessments, understanding learner involvement in assessment, reasons for constructive feedback, and effective assessment record keeping. Video Assessment You have to plan many things, such as observation, questioning/ professional discussion, and inspection of supporting work product evidence. Detailed assignment instructions will be made available to you in the 'Guidance for Achieving the Unit' section of your learning portal with a careful and clear explanation. You have to submit all your assignments via the online portal. Certification Successful candidates will be awarded a Level 3 Award in Education and Training (RQF) Qualification Certificate from Focus Awards Limited. Learners will also get CPD accredited Phonics Teaching Diploma and Speech Therapy & Special Education Needs (SEN) Training certificate from Apex Learning. Progression Level 4 Certificate in Education and Training Level 5 Diploma in Education and Training Level 3 Award in Understanding the Principles and Practices of Assessment Level 3 Award in Assessing Competence in the Work Environment Level 3 Award in Assessing Vocational Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 4 Award in Understanding the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practice Level 4 Award in Learning and Development Level 4 Diploma in Learning and Development Who is this course for? Those who have already worked in the teaching profession The aspiring professionals who want to add new skills to their CV Individuals who want to start their career as a teacher or teaching assistant Requirements Level 3 Award in Education & Training (RQF) qualification does not have any specific entry requirements for students. However, you must be at least 19 years old or above to register. Career path Level 3 Award in Education & Training (RQF) You will have the ability to accomplish a lot of things with this certificate. Here are just a few examples: Primary School Teacher Secondary School Teacher Private Tutor Freelance Teacher/ Trainer
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24 Hour Flash Deal **25-in-1 Nutritional Therapy Advanced Diploma Mega Bundle** Nutritional Therapy Advanced Diploma Enrolment Gifts **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter ** Take the initial steps toward a successful long-term career by studying the Nutritional Therapy Advanced Diploma package online with Studyhub through our online learning platform. The Nutritional Therapy Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass. This Nutritional Therapy Advanced Diploma course provides complete 360-degree training on Nutritional Therapy Advanced Diploma. You'll get not one, not two, not three, but twenty-five Nutritional Therapy Advanced Diploma courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Nutritional Therapy Advanced Diploma courses are yours for as long as you want them once you enrol in this course This Nutritional Therapy Advanced Diploma Bundle consists the following career oriented courses: Course 01: Nutritional Therapy: Enhancing Health Through Diet and Nutrition Certificate Course 02: Vegan Nutritionist Certification: Promoting Plant-Based Diets Course 03: Paleo Diet Mastery Course 04: Nutrition Training - Advanced Diet & Meal Planning Course 05: Superfood Nutrition: 60+ Foods For Health & Fitness Course 06: Understanding Mediterranean and Okinawa Diets Course 07: Effective Clinical Approaches to Weight Loss Course 08: Food and Mood: Improving Mental Health Through Diet and Nutrition Course 09: Sports Nutrition Course 10: Nutrition and Health Course 11: Diet and Nutrition Diploma Course 12: Immunity Boosting Food Course 13: Geriatric Nutrition and Well-being Course 14: Holistic Health Practitioner Course 15: Holistic Health and Nutrition Course 16: Eating Disorder Awareness: Supporting Mental Health Course 17: Food Safety Training Certificate Course 18: Food Safety & Hygiene Certificate Level 1 Course 19: Food Hygiene and Safety - Standards & Practices Course 20: Food Hygiene Certificate Course 21: Nutrition and Diet (Health Coaching and Food Hygiene) Course 22: Food Labelling Regulations Training Course 23: Food Science Diploma Course 24: Food Technology Diploma Course 25: Personal Hygiene The Nutritional Therapy Advanced Diploma course has been prepared by focusing largely on Nutritional Therapy Advanced Diploma career readiness. It has been designed by our Nutritional Therapy Advanced Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners. The Nutritional Therapy Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Nutritional Therapy Advanced Diploma bundle course has been created with twenty-five premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Nutritional Therapy Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Nutritional Therapy Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly. 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Here's what you get: Step by step Nutritional Therapy Advanced Diploma lessons One to one assistance from Nutritional Therapy Advanced Diplomaprofessionals if you need it Innovative exams to test your knowledge after the Nutritional Therapy Advanced Diplomacourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Nutritional Therapy Advanced Diploma courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Nutritional Therapy Advanced Diploma certificate and transcript on the next working day Easily learn the Nutritional Therapy Advanced Diploma skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Nutritional Therapy Advanced Diploma training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Nutritional Therapy Advanced Diploma Requirements To participate in this Nutritional Therapy Advanced Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Nutritional Therapy Advanced Diploma Career path You will be able to kickstart your Nutritional Therapy Advanced Diploma career because this course includes various courses as a bonus. This Nutritional Therapy Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Nutritional Therapy Advanced Diploma career opportunities. 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Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
***24 Hour Limited Time Flash Sale*** GDPR , Compliance & Information Management Level 3, 5 & 6 at QLS Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Unleash your potential in the crucial sectors of GDPR, Compliance, and Information Management with our comprehensive course bundle. Included in this unique bundle are three Quality License Scheme (QLS) endorsed courses that provide you with an in-depth understanding of GDPR basics, compliance certification, and information management. To authenticate your learning journey, you'll receive a hardcopy certificate upon completion of these QLS-endorsed courses, marking a noteworthy milestone in your professional development. But that's not all; this course bundle also incorporates five relevant Continued Professional Development (CPD) Quality Standard (QS) accredited courses. These cover important topics like Anti-Money Laundering (AML), Know Your Customer (KYC) guidelines, Cyber Security Awareness, Cyber Law, and Security Management. Equip yourself with this comprehensive GDPR, Compliance & Information Management course bundle and stay ahead in a world that increasingly values data protection and regulatory compliance. Key Features of the GDPR, Compliance & Information Management Level 3, 5 & 6 at QLS Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our GDPR, Compliance & Information Management Level 3, 5 & 6 at QLS bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Data Protection : GDPR Basics QLS Course 02: Certificate in Compliance QLS Course 03: Information Management 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Anti-Money Laundering (AML) Training Course 02: KYC Course 03: Cyber Security Awareness Training Course 04: Cyber Law Online Course Course 05: Security Management Diploma In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our GDPR, Compliance & Information Management Level 3, 5 & 6 at QLS courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of the GDPR, Compliance & Information Management Level 3, 5 & 6 at QLS Bundle: By the end of this GDPR, Compliance & Information Management bundle course, learners will be able to: Understand the essentials of the General Data Protection Regulation (GDPR). Gain theoretical knowledge of compliance and its significance in businesses. Learn about the intricacies of Information Management. Gain insights into Anti-Money Laundering (AML) measures. Understand the importance of Know Your Customer (KYC) guidelines. Develop awareness about Cyber Security and its importance in the digital age. Gain insights into the essentials of Cyber Law. Understand the principles of Security Management. The GDPR, Compliance & Information Management Level 3, 5 & 6 at QLS bundle offers a wide spectrum of knowledge across several key domains. It empowers you with a fundamental understanding of the GDPR, taking you through its importance in the digital era, and ensuring data protection. The bundle also includes a course on Compliance, which deepens your knowledge of maintaining organisational standards and regulations. The Information Management course provides insights into managing and utilising information effectively in a business setting. Moreover, the bundle also includes relevant CPD QS accredited courses like AML Training and KYC, offering a thorough understanding of financial regulations and customer verification processes. Further, it encompasses courses like Cyber Security Awareness Training, Cyber Law, and Security Management Diploma, amplifying your understanding of the digital security landscape. This comprehensive course bundle promises a thorough theoretical understanding, preparing you for the next steps in your career journey. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This GDPR, Compliance & Information Management bundle course is ideal for: Individuals aspiring for a career in data protection, compliance, or information management. Professionals in the IT or finance sector seeking to enhance their theoretical knowledge. Students studying law, finance, or related fields. Anyone with a keen interest in understanding the legal and regulatory aspects of data management. Career path GDPR Compliance Officer - Salary range in the UK: £25,000 - £55,000 per year Compliance Officer - Salary range in the UK: £26,000 - £60,000 per year Information Management Specialist - Salary range in the UK: £30,000 - £70,000 per year AML Analyst - Salary range in the UK: £30,000 - £55,000 per year Cyber Security Analyst - Salary range in the UK: £30,000 - £70,000 per year Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included
Getting Started The qualification is for the learners who wish to pursue their career in the financial services industry, professional accountancy, banking and finance or management. The learner will understand the basics of specialised and contemporary approaches to accountancy and finance, practical and theoretical issues and the latest developments in accountancy and reporting. The Level 7 Diploma in Accounting and Finance qualification also allows learners to work toward a relevant master's programme with advanced standing. Key Benefits All the important management theories and models are covered in this course. As a result, the students will gain a better understanding of the various management techniques that are applicable in the workplace. It will be helpful to the students to develop their problem-solving skills through the practical application of the various management models and theories. A nationally - recognised qualification, the credits earned at this course can be transferred to other courses if the students want to pursue an MBA or any other Master's. On completing the course, the students can demonstrate their proficiency in the various management practices, improving their chances of successful career progression. About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only). Assessment Time-constrained scenario-based assignments No examinations Entry Requirements An honours degree in a related subject or a UK level 6 diploma or an equivalent overseas qualification Learners must be 18 years or older at the beginning of the course. Mature learners (over 21) with management experience International students whose first language is not English will need to have a score of 5.5 or above in IELTS (International English Language Testing System) Progression Learners completing the OTHM Level 7 Diploma in Accounting and Finance will progress to: Master's top-up programmes at many universities in the UK and overseas with advanced standing or Directly into employment in an associated profession Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation); hence, the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance learning and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits The OTHM Level 7 Diploma in Accounting and Finance qualification consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 600 Guided Learning Hours (GLH) for the completed qualification. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Investment Analysis Reference No : R/615/3236 Credit : 20 || TQT : 200 The unit focusing on understanding of investment theories and evaluate investment performance. After completion of the unit the earner will capable of analysing the worlds capital market. Learners will be able to make effective recommendations for future investments. UNIT2- Corporate Reporting Reference No : D/615/3241 Credit : 20 || TQT : 200 The unit aim the learner to make capable of prepare and interpret financial statements of business organizations. They are also gain the skills of apply relevant accounting concepts and principles. UNIT3- Global Finance and Strategy Reference No : D/615/3238 Credit : 20 || TQT : 200 He unit will help the learner to take the decision when entering global markets. They will also gain the skills to take independent solutions to solve financial issues. UNIT4- Strategic Financial Management Reference No : H/615/3242 Credit : 20 || TQT : 200 The unit aims to develop the planning and managing skilss in an orgaisation financial resources. The learners will understand the importance of increasing stake holders return. UNIT5- Strategic Audit Reference No : Y/615/3240 Credit : 20 || TQT : 200 The unit aims to develop the skills of how managers can plan and execute business strategy accordingly. This will provide a deep knowledge in strategic audit concepts. UNIT6- Business Research Methods Reference No : T/508/0626 Credit : 20 || TQT : 200 The unit will help the learner to understanding of research principles including the formulation of research proposals, , referencing, data collection using interviews and surveys, literature reviews ,questionnaire design, statistical analysing using SPSS, qualitative data, and methods for drawing conclusions from the analysed data. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.
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