5253 Writing courses in Berwick-upon-Tweed delivered Online

Duration 4 Days 24 CPD hours This course is intended for This course is best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. 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 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 The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills 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- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. 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.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

Overview Improve your work and your writing dramatically by harnessing the untapped capabilities of Microsoft Word. Every writer and administrator uses Microsoft Word, but by taking this innovative course, you will learn how to use its many functions to your advantage. This MS Word Diploma course presents ways in which you can use extra functions built into Word to automate and invigorate your communications. You'll be taught how to use Mail Merge and customise the software to your specific requirements, making it easy to enhance and format letters or documentation. It could provide you with a revelation in terms of use and make Word an invaluable assistant. 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? There is no experience or previous qualifications required for enrolment on this MS Word Diploma. It is available to all students, of all academic backgrounds. Requirements Our MS Word Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 9 sections • 31 lectures • 03:58:00 total length •Navigate in Microsoft Word: 00:12:00 •Create and Save Word Documents: 00:24:00 •Manage Your Workspace: 00:06:00 •Edit Documents: 00:16:00 •Preview and Print Documents: 00:04:00 •Customize the Word Environment: 00:08:00 •Apply Character Formatting: 00:17:00 •Control Paragraph Layout: 00:19:00 •Align Text Using Tabs: 00:07:00 •Display Text in Bulleted or Numbered Lists: 00:03:00 •Apply Borders and Shading: 00:04:00 •Make Repetitive Edits: 00:06:00 •Apply Repetitive Formatting: 00:10:00 •Use Styles to Streamline Repetitive Formatting Tasks: 00:14:00 •Sort a List: 00:05:00 •Format a List: 00:06:00 •Insert a Table: 00:07:00 •Modify a Table: 00:06:00 •Format a Table: 00:03:00 •Convert Text to a Table: 00:04:00 •Insert Symbols and Special Characters: 00:04:00 •Add Images to a Document: 00:11:00 •Apply a Page Border and Color: 00:03:00 •Add Headers and Footers: 00:05:00 •Control Page Layout: 00:05:00 •Add a Watermark: 00:04:00 •Check Spelling Grammar and Readability: 00:07:00 •Use Research Tools: 00:06:00 •Check Accessibility: 00:03:00 •Save a Document to Other Formats: 00:04:00 •Assignment - MS Word Diploma: 00:05:00

Level-4 QLS Endorsed | 30 in 1 Diploma Bundle | +Gifts: 30 Free CPD PDF Certificate | Lifetime Access

Course Overview Did you know, high-quality food photographs can increase the traffic of your blog up to 80%? If you are a restaurant owner or if you run a business in the culinary industry, then high-quality food photography can boost your business and increase your sale significantly. Learn food photography with the Basics of Food Photography course now. The Basics of Food Photography course will discuss different aspects of food photography. You will learn the basics of food photography, how to capture the best shot using light and shade to make your food look delicious and eye-pleasing, common mistakes, lighting, composition, styling and many other techniques to capture the best photo of your food. This course is ideal for food vloggers, bloggers, photographers, restaurant owners, influencers, review writers or anyone who wants to learn food photography. Learning Outcomes Be able to capture eye-pleasing food photography Use lighting and angle to highlight the beauty of the food Style the frame with the ingredients you have Learn about the common mistakes and how to avoid them Who is this course for? This online course is for anyone who wants to learn more about food photography and photo editing. This course will help learners from any level to learn the importance and functions of food photography. Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. A good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. You can also obtain a Course Completion Certificate following the course completion. Certificates can be obtained either in hardcopy at £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere, anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Basics of Food Photography is a useful qualification to possess and would be beneficial for any related profession or industry such as: Food Vlogging Blogging Photography Review Writing Section 01: Introduction Introduction 00:02:00 Section 02: The Basics of Food Photography Camera and Lenses 00:04:00 Lighting 00:02:00 Composition 00:03:00 Styling 00:07:00 Shooting 00:04:00 Editing 00:01:00 Section 03: An example of a mobile photo session Shooting session example 00:03:00 Quick editing in Lightroom mobile 00:05:00 Photo analyses and comparison 00:03:00 Section 04: Conclusion Final tips 00:02:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

Are you passionate about education and eager to make a difference in the lives of students? Our Level 7 Diploma in Education Management and Leadership course bundle is your gateway to a fulfilling career in the field of education. This comprehensive Level 7 Diploma in Education Management and Leadership bundle equips you with the knowledge and skills required to excel in both educational leadership and classroom support roles. In this course, you'll dive into the principles of Level 7 Diploma in Education Management and Leadership, covering curriculum development, strategic planning, and effective leadership strategies. You'll learn to lead educational institutions towards excellence, ensuring quality learning experiences for students. As a Teaching Assistant, you play a vital role in supporting teachers and enhancing the educational journey of students. Our Level 7 Diploma in Education Management and Leadership courses in this bundle provide you with essential classroom management techniques, child development insights, and inclusive teaching practices. You'll become a valuable asset in the classroom, helping students reach their full potential. Career Advancement: Whether you're just starting your career in education or seeking to advance, this Level 7 Diploma in Education Management and Leadership bundle offers a well-rounded foundation. It's designed to boost your employability and open doors to various educational roles, from Teaching Assistant to Education Manager. Flexible Learning: Our online platform allows you to study at your own pace, making it ideal for busy individuals looking to upskill or launch a new career. You'll have access to a wealth of resources, including video lectures, assessments, and expert guidance. Don't miss this opportunity to invest in your future and make a positive impact in education. Enroll in our Level 7 Diploma in Education Management and Leadership bundle today and embark on a rewarding journey towards shaping the minds of tomorrow's leaders. This Level 7 Diploma in Education Management and Leadership Bundle consists of the following 30 CPD Accredited Premium courses - Course 01 :Education Management Course 02 :Leadership in Teaching Course 03 :SEND Teaching Assistant Course 04 :EYFS Teaching Assistant Course 05 :Phonics Teaching Certificate Course 06 :Remote Teaching Course 07 :Lesson Planning for Teaching Course 08 :Learning Disability Nursing Course 09 :Nursery Nurse Course 10 :Mental Health Teaching Assistant Course 11 :ADHD Awareness Course 12 :The Complete Guide To Getting A Teaching Job Course 13 :Positive Handling in Schools Course 14 :Learning to Learn - Super Learning Course 15 :Educational Psychology Course 16 :Teaching Assistant Diploma Course 17 :Education and Pedagogy Course 18 :Blended Learning Course for Teachers Course 19 :Understanding Autism Level 3 Course 20 :Health and Safety Training for School Administrators Course 21 :Child Language Disorder (CLD) Course 22 :Child Playwork Course 23 :Child Neglect Awareness & Protection Course 24 :Communication Skills Course 25: Team Management Course 26: Problem Solving Skills Course 27: Leadership Skills Course 28: Presentation Skills Course 29: Microsoft Office Course 30: Cross-Cultural Awareness Training 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01 :Career Development Plan Fundamentals Course 02 :CV Writing and Job Searching Course 03 :Interview Skills: Ace the Interview Learning Outcome This tailor-made Level 7 Diploma in Education Management and Leadership bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Level 7 Diploma in Education Management and Leadership Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Teaching Assistant Diploma Understand the role and responsibilities of a teaching assistant in various educational settings. Develop effective classroom management techniques to support the teacher and create an optimal learning environment. Gain insights into the principles of child development and how they relate to teaching and learning. The Complete Guide To Getting A Teaching Job Learn how to create a compelling teaching portfolio and craft a winning CV. Master interview techniques specific to the education sector, enhancing your chances of securing a teaching job. Understand the different pathways to becoming a qualified teacher and the requirements for each. SEND Teaching Assistant Explore strategies and best practices for supporting students with Special Educational Needs and Disabilities (SEND). Gain proficiency in individualized education plans (IEPs) and their implementation. Develop a deeper understanding of various SEND conditions and how they impact learning. EYFS Teaching Assistant Understand the Early Years Foundation Stage (EYFS) framework and its significance in early childhood education. Learn effective methods for promoting play-based learning and nurturing early development. Enhance your skills in observation and assessment of young learners. Phonics Teaching Certificate Acquire expertise in teaching phonics, a fundamental skill for early reading and literacy development. Explore phonics assessment tools and strategies for tracking progress. Develop engaging phonics activities and resources for the classroom. Remote Teaching Master the principles of remote teaching, including technology integration and online communication. Learn strategies for keeping students engaged and motivated in virtual learning environments. Gain confidence in delivering effective remote lessons. Lesson Planning for Teaching Develop the skills to create well-structured lesson plans that align with curriculum objectives. Explore various teaching methods and techniques to cater to diverse learning styles. Learn to incorporate assessment and feedback into lesson planning for continuous improvement. Learning Disability Nursing Gain an in-depth understanding of learning disabilities and their impact on individuals. Develop skills in providing person-centered care and support to individuals with learning disabilities. Explore legal and ethical considerations in learning disability nursing. Nursery Nurse Learn about the care and development of children in early years settings, including nurseries. Gain knowledge in promoting the physical, social, and emotional well-being of young children. Understand the role of a nursery nurse in facilitating early learning experiences. Mental Health Teaching Assistant Explore the fundamentals of mental health and common mental health conditions among students. Develop skills in providing emotional support and promoting well-being in educational settings. Understand strategies for fostering a mentally healthy classroom environment. ADHD Awareness Gain awareness of Attention Deficit Hyperactivity Disorder (ADHD) and its impact on learning and behavior. Learn strategies for supporting students with ADHD in the classroom. Understand the role of educators in promoting an inclusive and supportive environment for students with ADHD. Leadership in Teaching Develop leadership skills relevant to educational settings, including decision-making and problem-solving. Explore effective communication and team management techniques for educational leadership. Understand the responsibilities of educational leaders in driving school improvement. Positive Handling in Schools Learn safe and effective positive handling techniques to manage challenging behavior in schools. Understand legal and ethical considerations related to behavior management. Promote a culture of positive behavior support and de-escalation in the school environment. Learning to Learn - Super Learning Explore strategies for enhancing learning effectiveness, memory retention, and information processing. Develop techniques for efficient study skills and time management. Discover methods for continuous self-improvement and lifelong learning. Educational Psychology Gain insights into the psychological principles that underpin teaching and learning. Understand how motivation, cognition, and development impact educational outcomes. Apply psychological concepts to improve instructional strategies and student engagement. Education Management Explore the principles of education management, including curriculum design, assessment, and leadership. Develop skills in strategic planning and resource allocation for educational institutions. Understand the role of education managers in driving quality education. Education and Pedagogy Deepen your knowledge of pedagogical theories and teaching methodologies. Explore innovative approaches to instruction and curriculum development. Learn to adapt teaching strategies to meet the diverse needs of learners. Blended Learning Course for Teachers Acquire expertise in blended learning, combining traditional and online teaching methods. Learn to design engaging and effective blended learning experiences. Explore technology tools and platforms to support blended learning environments. Understanding Autism Level 3 Gain a comprehensive understanding of autism spectrum disorders (ASD) and their characteristics. Develop strategies for providing support and creating inclusive environments for individuals with autism. Explore the latest research and interventions in the field of autism. Health and Safety Training for School Administrators Understand the importance of health and safety in educational settings. Learn to identify and mitigate potential hazards in schools. Develop skills in emergency response and crisis management in schools. Child Language Disorder (CLD) Explore the nature of child language disorders and their impact on communication and learning. Learn assessment techniques for identifying language disorders in children. Gain strategies for intervention and support for children with language disorders. Child Playwork Understand the principles of playwork and its significance in child development. Learn to create and facilitate play opportunities that enhance learning and well-being. Explore ethical considerations in child playwork. Child Neglect Awareness & Protection Gain awareness of child neglect and its signs and consequences. Learn how to recognize and report suspected cases of neglect. Understand the role of professionals in safeguarding and protecting children from neglect. Certification After studying the complete Level 7 Diploma in Education Management and Leadership training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Communication Skills Develop effective communication skills, including active listening and assertiveness. Enhance your ability to convey ideas clearly and confidently. Improve interpersonal communication in both personal and professional contexts. Team Management Learn strategies for effective team management, including leadership and conflict resolution. Develop skills in building and motivating high-performing teams. Understand the importance of teamwork in achieving organizational goals. Problem Solving Skills Develop problem-solving techniques that can be applied in various personal and professional situations. Enhance your critical thinking and decision-making abilities. Learn to analyze complex problems and develop effective solutions. Leadership Skills Develop leadership qualities, including self-awareness, resilience, and adaptability. Learn to lead by example and inspire others to achieve common goals. Understand the ethical responsibilities and challenges of leadership roles. Presentation Skills Enhance your presentation skills, from content creation to delivery. Learn to engage and captivate your audience effectively. Develop confidence in public speaking and presentation techniques. Microsoft Office Master the Microsoft Office suite, including Word, Excel, PowerPoint, and Outlook. Learn to create and edit documents, spreadsheets, presentations, and emails. Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Education Management and Teaching Assistant bundle! This bundle is also ideal for professionals looking for career advancement. Please Note: Our Course is a knowledge-based course. If You want to get qualified, you may consider the following options: Level 4 Diploma in Education and Training Management OTHM Level 7 Diploma in Education Management and Leadership Requirements To participate in this Level 7 Diploma in Education Management and Leadership course, all you need is - A smart device A secure internet connection And a keen interest in Education Management and Teaching Assistant Career path Upon completing this essential Level 7 Diploma in Education Management and Leadership Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.

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The MOST DEMANDED PATHWAY are WAITING for YOU Service Helpdesk & Technical Support course is for those who want to advance in this field. Throughout this course, you will learn the essential skills and gain the knowledge needed to become well versed in Service Helpdesk & Technical Support. Our course starts with the basics of Service Helpdesk & Technical Support and gradually progresses towards advanced topics. Therefore, each lesson of this Service Helpdesk & Technical Support is intuitive and easy to understand. Service Helpdesk & Technical Support Learning Outcomes: Learn how to manage voicemails and interoffice calls. There are several phone etiquette rules you should review. How to get better at making business calls. Relationship-building techniques over the phone. How to deal with a stiff collar and active listening. Editing internal business transactions. Using the phone to troubleshoot, putting record-keeping and file processes in place. Learn about communication and organisational skills. How to create timetables and plans that work. Along with the Service Helpdesk & Technical Support course, you also get: Lifetime Access Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Curriculum Breakdown of the Course:- Managing Interoffice Calls and Voicemail Aspects of Phone Etiquette Business Telephone Skills Building Rapport Over the Phone Inbound and Outbound Calls Active Listening and Managing Tough Callers Mail Services and Shipping Intra Organisation Dealings Problem-Solving over the Phone Record Keeping and Filing Systems Business Writing Skills Organisational Skills Communication Skills Customer Relationship Management Effective Planning and Scheduling Invoicing/Petty Cash Each topic has been designed to deliver more information in a shorter amount of time. This makes it simple for the learners to understand the fundamental idea and apply it to diverse situations. Certification CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy certificates are available CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Service Helpdesk & Technical Support course. Requirements To enrol in this Service Helpdesk & Technical Support course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Service Helpdesk & Technical Support, such as- Customer Service Call Center Operator Emergency Caretaker Office Executive Production Manager Certificates Certificate of completion Digital certificate - Included Get a CPD accredited PDF certificate for Free. Certificate of completion Hard copy certificate - Included Get a CPD accredited PDF certificate for Free. After successfully completing this Service Helpdesk & Technical Support course, you get a PDF and a hardcopy certificate for free. The delivery charge of the hardcopy certificate inside the UK is £3.99 and international students need to pay £9.99 to get their hardcopy certificate.

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