45122 Courses

Course Objectives At the end of this course you will be able to: Record and edit a Macro Assign macros to keyboard shortcuts, Quick Access Toolbar, Buttons and Shape objects. Use the Visual Basic Editor; change the properties of an object; add a module to a project; write the code for a procedure and then run it; and use the Object Browser to search procedures Manipulate data by declaring variables of different data types; combine data by using expressions; use functions to accept input and display output; and declare variables and procedures with the appropriate scope Use decision structures to create procedures that make decisions; and use loop structures to perform repetitive tasks Create an error handling routine in case things go wrong with VBA code ' 1 year email support service Take a closer look at the consistent excellent feedback from our growing corporate clients visiting our site ms-officetraining co uk Customer Feedback Best Training Ever! Just finished a bespoke 1-1 training course in Excel Advanced, Macros & VBA. Pedro is an excellent trainer, imparting his skills and knowledge in the best way - appropriately to audience skills, knowledge and ability. Pedro is always approachable, encouraging and supportive, giving delegates the optimum learning environment. I would not hesitate to recommend Pedro as a trainer, whatever your level of ability. Amanda Morris - Treasury & Systems Accountant at Reall - Real Equity for All The trainer was very knowledgeable, kept everyone involved and was enthusiastic. A great experience.. Simon Harper - Lloyd's of London My learning experience was awesome. Perdinand Reagan - Subsea7 Very nice and relaxed approach to teaching. Was definitely a good learning experience. Jerome Pupe - S5 Agency World The Trainer – Very positive + patient + helpful + thorough Agnes Souza - Direct Wines ' With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level. Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke courses. Our competitive rates start from £550.00 per day of training Tailored training courses: You can choose to run the course exactly as they are outlined by us or we can customise it so that it meets your specific needs. A tailored or bespoke course will follow the standard outline but may be adapted to your specific organisational needs. Introduction to Macros and VBA Introducing Visual Basic for Applications Recording a Macro Naming conventions for Macro Procedures Running a Macro Absolute or Relative Cell Referencing Saving and Opening Files with Macros Making macros always available Adding Macros to Keyboard Shortcuts, Quick Access Toolbar, Buttons and Shapes Editing a Macro in the Visual Basic Editor Understanding the Development Environment Customising the Editor Tips for General Typing in VBA Using Visual Basic Help Working with Procedures Program Design Understanding Modules Naming Rules Creating a Module Understanding Procedures Programming Macro Concepts Creating a Subroutine Creating a Function Understanding Arguments Exiting Procedures Calling Procedures Objects, Properties, Methods and Events Understanding Objects Properties, Methods, and Events Navigating the Object Hierarchy Understanding Collections Accessing a Member of a Collection Understanding Hierarchy Using the Object Browser Using the With Statement Working with Properties Working with Methods Creating an Event Procedure Reserved Macro Names Using Expressions, Variables and Intrinsic Functions Understanding Expressions and Statements Declaring Variables Understanding Data Types Determining the Value of Variables Working with Variable Scope Using Built-in VBA Functions Understanding Constants Using Message Boxes Controlling the Answer to a Message Box Using Input Boxes Declaring and Using Object Variables Controlling Program Execution Understanding Control-of-Flow Structures Using the If...End If Decision Structures Nested If Statements Using the Select Case ... End Select Structure Using the Do ... Loop Structure Using the For ... Next Structure Using the For Each ... Next Structure Guidelines for Use of Control-of-Flow Structures Debugging and Handling Errors Understanding Errors Using Debugging Tools Setting Breakpoints and Using Break Mode Stepping Through Code Trapping Errors with the On Error Statement Understanding the Err Object Working with Inline Error Handling Writing an Error-Handling Routine Working with Forms and Controls Understanding UserForms Creating a Form Displaying and Removing a Form Aligning and Sizing Controls Using the Toolbox Working with a Form's Properties, Methods, and Events Working with Form and Control Properties, Methods and Event Setting the Tab Order Populating a Control Who is this course for? Who is this course for? This course is designed to give proficiency in the Visual Basic Editor (VBE), predominantly making use of Excel objects, understanding Object's Properties, Events and Methods, basic VBA Object oriented programming, event handling, control structures, and debugging tools. Requirements Requirements Preferably, delegates should have attended the Excel Advanced course. Certificates Certificates Certificate of completion Digital certificate - Included

Our Intermediate course is designed for Barbers and Hairdressers to further their skill set over an intensive three days of training. Keeping class sizes small, our educators will develop your techniques and introduce new methods to further you in your career with daily lectures, demonstrations and practical hands on sessions on up to 8 live models provided by the Sid Sottung Academy. A bespoke course catered to each student, you will leave with an extended understanding of mens cutting and a refined eye to detail.

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.

Half day rally navigator training workshop scheduled to be ideal for crews doing the 2025 Tour of Cheshire Historic Road Rally but open to all.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Physical & Mental Health Training . You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Physical & Mental Health Training is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Physical & Mental Health Training has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Physical & Mental Health Training , like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Physical & Mental Health Training? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the materials of the Physical & Mental Health Training there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Physical & Mental Health Training is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Physical & Mental Health Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Physical & Mental Health Training 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. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Physical & Mental Health Training is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Introduction Introduction 00:03:00 Sleep - So MUCH More Than Just Rest Track Your Sleep 00:05:00 Blue Light & Red Light Protect Yourself From Blue Light 00:04:00 Try Red Light Therapy 00:05:00 Mindfulness & Movement Practice Mindfulness 00:07:00 Get More Active 00:08:00 What You Put In Your Mouth is KEY! Drink Alkaline Water 00:06:00 Eat More Whole Foods 00:10:00 Add Probiotics To Your Diet 00:06:00 Hidden Secret - 'Cryotherapy' Benefits of Cryotherapy 00:05:00 Importance Of PURE Air Purify Your Air 00:07:00 Final Thoughts & Recommendations Conclusion 00:04:00

QA Level 2 Award In Safe Moving And Handling (RQF) Full day course (classroom) Provides a good understanding of the principles of safe manual handling Gives learners the ability to apply the principles of safe manual handling Benefits of this course: 470,000 people people suffered from musculoskeletal disorders due to work related activities in 2020/2021 Of those, 162,000 were from people who had not suffered this before 8.9 million working days, or 37,083 working years, were lost due to work-related musculoskeletal disorders in 2019/2020 This course is here to help people avoid getting injured in the first place, saving both human suffering and cost to the employer and employee both Course Contents: Common manual handling injuries Manual handling laws Responsibilities of employers and employees Manual handling risk assessments Safe movement principles associated with manual handling, including the body’s:Musculoskeletal systemCentre of gravityLever system Manual handling equipment:Types of manual handling aids and equipmentMaintenance and requirements for testing Manual handling practical sessions: Preparing for a lift Solo lifting, carrying and lowering an object Team manual handling Accredited, Ofqual regulated qualification: Our Safe Moving and Handling Course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can be rest assured that your Manual Handling Certificate fulfills the legal requirements and is a very good way to make sure you and your employees are trained appropriately in Manual Handling. The Ofqual Register number for this course is 603/2744/3

Embark on an enlightening journey into the world of Educational Psychology & Pedagogy with our exclusive QLS Level 4 bundle! Immerse yourself in the rich knowledge offered by our QLS endorsed courses in Educational Psychology and Pedagogy, which come with a coveted hardcopy certificate. The in-depth theoretical exploration of these courses is designed to empower your understanding and equip you with a competitive edge in the education sector. But that's not all! The bundle also includes 5 CPD QS accredited courses-School Administrator Training, Home Education, EYFS Teaching Diploma, Montessori Education for Early Childhood, and Child Psychology & Development. These courses delve into the relevant aspects of the education sphere and enhance your comprehension of the diverse dynamics at play. Whether you aspire to shape young minds, organise educational environments, or delve into home education, this bundle brings together a wealth of knowledge at your fingertips. With Educational Psychology & Pedagogy at its core, this bundle equips you to make a real difference in the learning journey of others. This bundle comprises the following courses: QLS Endorsed Courses: Course 01: Diploma in Educational Psychology at QLS Level 4 Course 02: Diploma in Pedagogy at QLS Level 4 CPD QS Accredited Courses: Course 03: School Administrator Training Course 04: Home Education Course 05: EYFS Teaching Diploma Course 06: Montessori Education for Early Childhood Course 07: Child Psychology & Development Learning Outcomes: By the end of this Educational Psychology & Pedagogy bundle course, learners will be able to: Understand the core principles and theories of Educational Psychology & Pedagogy. Gain insights into the administrative dynamics of schools. Grasp the fundamentals of home education and its practical implementation. Acquire an in-depth knowledge of the EYFS teaching principles. Learn about the Montessori method and its application in early childhood. Understand the stages of child psychology and development. Apply the knowledge gained to create an optimal learning environment. Enhance your career prospects in the education sector. This QLS Level 4 bundle is an amalgamation of 7 meticulously curated courses that provide a comprehensive theoretical insight into Educational Psychology & Pedagogy. Two of these courses have received the prestigious QLS endorsement, thus reflecting the high quality and depth of the content. The additional five CPD QS accredited courses span the spectrum of educational facets from school administration to home education, EYFS teaching, Montessori principles for early childhood, and child psychology and development. These courses aim to enrich your understanding and equip you with the essential knowledge to excel in various educational settings. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Educational Psychology & Pedagogy bundle is ideal for: Aspiring educators seeking a comprehensive understanding of Educational Psychology & Pedagogy. Professionals in the education sector looking to broaden their knowledge. Individuals interested in home education and its dynamics. Those keen on understanding the Montessori method and its application in early childhood. Career path Educational Psychologist (salary range in the UK: £35,000 - £87,000) Pedagogy Specialist (salary range in the UK: £28,000 - £50,000) School Administrator (salary range in the UK: £20,000 - £45,000) Home Education Consultant (salary range in the UK: £25,000 - £50,000) EYFS Teacher (salary range in the UK: £24,000 - £41,000) Montessori Teacher (salary range in the UK: £20,000 - £35,000) Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

24-Hour Flash Sale! Prices Reduced Like Never Before!! Learn to use the world's Best Photo Editing Software with Adobe Photoshop CC. In the UK, the demand for skilled graphic designers and digital artists continues to grow, with the market projected to reach over £1 BILLION by 2025. Reach your full potential by taking our Adobe Photoshop CC Course and leap up the career ladder of your choice. The "Adobe Photoshop" course offers a comprehensive curriculum that covers every aspect of Photoshop, from basic to advanced techniques. You will start with an overview and progress to creating graphic designs, making PSD thumbnails visible, and working with Photoshop actions. Learn to create and transform images, work with text and fonts, and produce 3D image shots. You can quickly become skilled in the field by enrolling in this bestselling Adobe Photoshop CC course and stand proudly above applicants and candidates as you impress your future employer. Learning Outcomes of Adobe Photoshop CC Course: Master the basics and advanced techniques of Adobe Photoshop. Develop skills in creating and transforming graphic designs. Learn to work with text, fonts, and Photoshop actions effectively. Gain proficiency in producing 3D images and managing file formats. Understand the practical applications of Photoshop in live projects. Enhance your ability to produce professional-grade graphics and designs. Elevate your career with the "Adobe Photoshop" course and become a master of digital design. This program not only enhances your technical skills but also develops your creative abilities, allowing you to produce high-quality work that stands out. Enrol today and take the first step towards a rewarding and creative career! Why Prefer this Adobe Photoshop CC Course? Get a Free QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Adobe Photoshop is the world's leading technology for creating and editing photographs. It can be used to create images, logos, 3D artwork, etc. and improve them. The complete course in Adobe Photoshop will give you the overall outlook and skills needed to master this application. Curriculum Breakdown of Adobe Photoshop CC Module 01: Overview Module 02: Having Graphic Designs Created Module 03: Making PSD Thumbnails Visible on Your PC Module 04: Creating a Simple Design - Part 1 Module 05: Creating a Simple Design - Part 2 Module 06: Changing the Background Image Module 07: Changing the Font or Text Module 08: Working with Photoshop Actions Module 09: Sources for Photoshop Actions Module 10: Selecting Photoshop Actions Module 11: Producing Photoshop Actions - Part 1 Module 12: Show Transform Controls Module 13: Producing Photoshop Actions - Part 2 Module 14: Creating a Multiple 3D Image Shot Module 15: Sizing of File Formats Module 16: Saving For Certain File Formats Module 17: Live Application - Part 1 Module 18: Live Application - Part 2 Module 19: Multiple Short Live Application Module 20: Conclusion How will I get my Adobe Photoshop CC Certificate? After successfully completing the Adobe Photoshop CC course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously, it was £12.99) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £79) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Adobe Photoshop CC Training Right for You? This Adobe Photoshop CC training has been professionally-designed for motivated learners who are looking to add a new skill to their CV and stand head and shoulders above the competition. Requirements Adobe Photoshop CC Enrol on the Adobe Photoshop CC training Course with no formal entry requirements! If you have a passion for knowledge and want to learn something new. Career path Adobe Photoshop CC You will be able to develop precise knowledge and skills with proper trust after completing this Adobe Photoshop CC Training course to enrich yourself and brighten up your career in the related job market. Certificates Advanced Photoshop CC at QLS Level 2 Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Ecommerce Management Level 3 Training Course provides vital insights into the dynamic world of online commerce. In today's digital landscape, where Ecommerce reigns supreme, mastering these skills is paramount. This course equips learners with comprehensive knowledge, spanning from understanding Ecommerce fundamentals to honing marketing strategies and transaction management. With modules covering essential areas like Ecommerce strategy, customer service, marketing, and analytics, graduates emerge equipped to navigate the complexities of online business. In the UK, where the Ecommerce sector is burgeoning, the demand for skilled professionals is high. Possessing this certification opens doors to various job opportunities, with salaries ranging from £25,000 to £45,000 per annum depending on experience and expertise. The advantages of this Ecommerce Management Level 3 Trainingcourse are manifold, especially as Ecommerce continues to grow, with a projected increase of 15% annually. Mastering Ecommerce management ensures relevance and competitiveness in the ever-evolving digital marketplace. Key Features: CPD Certified Ecommerce Management Course Developed by Specialist Lifetime Access Course Curriculum: Module 01: Introduction To Electronic Commerce Module 02: Ecommerce Strategy And Implementation Module 03: Customer Service Module 04: Products, Brands, And Services Module 05: Content Planning And Production Module 06: Use Of Social Networks Module 07: Marketing Module 08: Creating An Engaging User Experience Module 09: Transaction Management Module 10:Ecommerce Analytics Learning Outcomes: Analyze Ecommerce strategies for effective implementation and growth. Develop customer service techniques tailored for online businesses. Craft compelling content plans aligned with brand and product strategies. Utilize social networks to enhance brand visibility and engagement. Implement transaction management systems to ensure smooth online operations. Interpret Ecommerce analytics to make data-driven business decisions. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Ecommerce Management Level 3 Training course is accessible to anyone eager to learn more about this topic. Through this course, you'll gain a solid understanding of Ecommerce Management Level 3 Training. Moreover, this course is ideal for: Individuals aspiring to manage or start Ecommerce businesses. Marketing professionals seeking to specialize in online retail management. Entrepreneurs aiming to enhance their Ecommerce venture's performance. Retail managers transitioning into the Ecommerce space. Students interested in pursuing careers in online business management. Requirements There are no requirements needed to enrol into this Ecommerce Management Level 3 Training course. We welcome individuals from all backgrounds and levels of experience to enrol into this Ecommerce Management Level 3 Training course. Career path After finishing this Ecommerce Management course you will have multiple job opportunities waiting for you. Some of the the following Job sectors of Ecommerce Management are: Ecommerce Manager - £30K to £60K/year. Digital Marketing Specialist - £25K to £45K/year. Online Merchandiser - £20K to £40K/year. Ecommerce Analyst - £25K to £50K/year. Customer Experience Manager - £25K to £45K/year. Certificates Digital certificate Digital certificate - Included Will be downloadable when all lectures have been completed.

Overview   With the ever-increasing demand for Manufacturing in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Manufacturing may be.   Learning about Manufacturing or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Manufacturing. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Manufacturing is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Manufacturing Training course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Manufacturing Training course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Manufacturing Training course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Manufacturing, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Manufacturing, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Manufacturing, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Manufacturing Training course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.    Course Curriculum Module 1 - Basic of Manufacturing Basic of Manufacturing 00:00 Module 2 - Good and Poor Manufacturing Good and Poor Manufacturing 00:00 Module 3 - Industry Safety Industry Safety 00:00 Module 4 - Design and Facility Design and Facility 00:00 Module 5 - GMP for Pharmaceuticals GMP for Pharmaceuticals 00:00 Module 6 - GMP for The Food Industry GMP for The Food Industry 00:00 Module 7 - Environment-Friendly Machine Tools Environment-Friendly Machine Tools 00:00 Module 8 - Non-Traditional Machining Process Non-Traditional Machining Process 00:00 Module 9 - Design for Machining Design for Machining 00:00 Module 10 - Automated Manufacturing System Automated Manufacturing System 00:00