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Explore the dynamic intersection of SEN (Special Educational Needs) and Phonics Teaching with our comprehensive resources. Discover effective strategies, tailored approaches, and valuable insights to empower educators in supporting diverse learners. Elevate your teaching practices to create an inclusive and enriching learning environment for every student with SEN and Phonics integration.

Discover the art of modern web design with our comprehensive course on HTML5, CSS3, and Bootstrap. Learn the latest techniques to create visually stunning and responsive websites. Master the essential tools and frameworks used by industry professionals to bring your web design skills to the next level. Enroll now for a hands-on learning experience that blends theory with practical application in the dynamic world of web development.

Painting and Decorating Level 2 & 3 Course Are you artistically inclined and enjoy painting and furnishing interior spaces? If so, signing up for our Painting and Decorating course can help you advance in your career. All of the fundamentals of painting and decorating are covered in the Painting and Decorating Course. You will also be knowledgeable about different painting and decorating tools, equipment, and surface preparation. Paint kinds, colour theory, and painting techniques are all covered in the painting and decorating course. How to restore and fix any painting and decorating products is also covered in the painting and decorating course. Our painting and decorating course goes into detail on environmental concerns, business necessities, health and safety, and more. Sign up in the Painting and Decorating Course to acquire skills ranging from fundamental to sophisticated that will aid in your career development. Why choose this Painting and Decorating Course from the School of Health Care? Self-paced Painting and Decorating Course, access available from anywhere in the world. High-quality study materials that are easy to understand. Painting and Decorating Course developed by industry experts. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Painting and Decorating Course. Main Course: Painting and Decorating Level 2 Painting and Decorating Level 3 [ Note: Free PDF certificate as soon as completing the Painting and Decorating Course] Painting and Decorating Course Course Curriculum of Painting and Decorating Level 2 Course Module 01: Introduction to Painting and Decorating Module 02: Tools and Equipment Module 03: Surface Preparation Module 04: Paint Types and Color Theory Module 05: Interior Painting Techniques Module 06: Exterior Painting Techniques Module 07: Wallpaper Installation Module 08: Decorative Finishes Module 09: Specialty Surfaces and Materials Module 10: Restoration and Repair Module 11: Health and Safety in Painting Module 12: Business Essentials Module 13: Environmental Considerations Course Curriculum of Painting and Decorating Level 3 Course Module 01: Awareness of Health, Safety, and Environment Module 02: Advanced Surface Preparation Module 03: Techniques for Decorative Finishing Module 04: Design and Colour Theory Module 05: Utilising Specialised Materials Module 06: Project management, planning, and estimating Module 07: Client Care and Expertise Module 08: Experience Working on-Site Assessment Method of Painting and Decorating Course After completing Painting and Decorating Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Painting and Decorating Course After completing the Painting and Decorating Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Painting and Decorating Course This Painting and Decorating Course package is open to students of any background. Special Note: Our Course is knowledge Based course. If You want to get qualified, you can consider following options: Level 2 NVQ Diploma in Decorative Finishing and Industrial Painting Occupations (Construction) (RQF) Requirements Painting and Decorating Course To enrol in this Painting and Decorating Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Painting and Decorating Course. Be energetic and self-motivated to complete our Painting and Decorating Course. Basic computer Skill is required to complete our Painting and Decorating Course. If you want to enrol in our Painting and Decorating Course, you must be at least 15 years old. Career path Painting and Decorating Course Having this Painting and Decorating Course experience can improve the look of your CV and increase your employability.

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

About Course Inventory Management Course to optimize your Purchasing, Logistics, EOQ and Safety Stock What Is Inventory Management? Inventory management refers to the process of ordering, storing, using, and selling a company's inventory. This includes the management of raw materials, components, and finished products, as well as warehousing and processing of such items. There are different types of inventory management, each with its pros and cons, depending on a company's needs.What is Discussed in the course Welcome to our comprehensive online course on Inventory Management. This step a crucial cog in the wheel of any company's supply chain process. This course provides a deep dive into the multifaceted aspects of inventory management and control. Initially, you will learn about various factors that shape inventory management. Afterwards, you will explore an array of tools and techniques to optimize costs. Finally, you will gain insight into forecasting and planning strategies. You will explore modern inventory systems and technologies, learning the differences between centralized and decentralized control of inventory. As we delve deeper, you'll encounter warehouse management, layout optimization, and warehouse management systems to further enhance your understanding of the supply chain. This course concludes with a comprehensive look at supply chain management, incorporating all the knowledge you've gained throughout.Learning Outcomes Have a full understanding of the role and key objectives of the Inventory Manager Be able to categorise Stock Keeping Units (SKUs) / parts effectively to prioritise their activity Recognise that suppliers and supplier relationships are critical to success and to understand what they require from suppliers to optimise their position Gain a total overview of Inventory Management for your Manufacturing or Service business The goal of this course is to arm you with the knowledge and tools needed to optimize your inventory performance. This course will equip inventory and warehouse managers, and anyone involved in the supply chain process, with the skills necessary to control the flow of goods effectively and efficiently in their organization. Take your first step towards mastering inventory management and join us on this journey. Throughout this course, you will explore the factors that influence inventory management within your organization. You will gain a deep understanding of various inventory management tools and techniques aimed at minimizing costs and achieving service levels aligned with your organization's mission, vision, and goals.Supply Chain Professionals: Elevate Your Inventory Management Game Starting with an analysis of historical demand, you will learn to distinguish between independent and dependent demand for goods or services. Leveraging this analysis, you will forecast both independent and dependent demand for inventory items, enabling you to calculate the optimal inventory level that minimizes overall inventory costs while establishing reorder points to meet desired service levels. In addition to forecasting and planning, this course covers other vital aspects of inventory management. You will explore inventory systems and technologies, warehouse management and layout optimization, just-in-time management, and warehouse management systems. Furthermore, you will gain insights into supply chain management and the challenges associated with inventory control. Whether you are a warehouse manager, stockroom manager, or involved in supply chain management, this course provides a comprehensive understanding of inventory management principles and practices. Join us to enhance your knowledge, streamline operations, and achieve high stock availability while minimizing stock value. Enroll now and embark on your journey to become an effective inventory manager! What Will You Learn? Have a full understanding of the role and key objectives of the Inventory Manager Be able to categorise Stock Keeping Units (SKUs) / parts effectively to prioritise their activity Recognise that suppliers and supplier relationships are critical to success and to understand what they require from suppliers to optimise their position Gain a total overview of Inventory Management for your Manufacturing or Service business Course Content Introduction to Inventory Management Introduction to Inventory Management Types of Inventory System Types of Inventory System Inventory Forecasting & Cost Inventory Forecasting & Cost Inventory Valuation Inventory Reorder Points and Safety Stock Inventory Reorder Points and Safety Stock Inventory Planning & Managing Inventory Planning & Managing Just-in-time Management Just-in-time Management Inventory Systems and Technologies Inventory Systems and Technologies Warehouse Management and Layout Optimization Warehouse Management and Layout Optimization Warehouse Management System Warehouse Management System Supply Chain Management and Vendor Relations Supply Chain Management Vendor Relations Conclusion Career Development: Job Searching, Resume/CV, Cover Letters A course by Xpert Learning RequirementsBasic understanding of business operations and supply chain concepts Audience Anyone involved in Supply Chain, Inventory Management and finance who has an interest in the management and movement of stock, categorisation of products / Stock Keeping Units (SKUs) and ensuring optimum availability (Service Levels) whilst minimisng stock levels. Supply Chain Managers Audience Anyone involved in Supply Chain, Inventory Management and finance who has an interest in the management and movement of stock, categorisation of products / Stock Keeping Units (SKUs) and ensuring optimum availability (Service Levels) whilst minimisng stock levels. Supply Chain Managers

Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Hazardous substances can harm people's health in the short or long term and are responsible for a number of accidents every year. COSHH: COSHH stands for Control of Substances Hazardous to Health. It exists to ensure that both employers and employees create a safe workplace by limiting people's exposure to hazardous substances and working in safe ways. Within the workplace, there can be an exposure risk to substances that are hazardous to health. Under strict legislation, appropriate labelling and management of these substances are essential in reducing risk and creating a safe working environment. This Control of Substances Hazardous to Health (COSHH) Training Course provides an overview of COSHH: COSHH and your duties and responsibilities under current legislation. After completing this Control of Substances Hazardous to Health (COSHH) Training Course, you will be confident in understanding what is required of you in your workplace regarding COSHH: COSHH and COSHH: COSHH risk assessments. Why choose this Control of Substances Hazardous to Health (COSHH) Training Course from the School of Health Care? Self-paced course, access available from anywhere in the world. High-quality study materials that are easy to understand. Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Control of Substances Hazardous to Health (COSHH) Training Course. Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Learning Objectives By the end of the Control of Substances Hazardous to Health (COSHH) Training Course, learners will be able to: Understand the fundamentals of COSHH. Understand COSHH Legal Regulations. Know how to identify Hazardous Substances. Understand COSHH risk assessment and control measures. Know how to monitor the assessment and health surveillance Certificate of Completion Control of Substances Hazardous to Health (COSHH) You will receive a course completion certificate for free as soon as you complete the Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Training course. Who is this course for? Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) This Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Training Course is designed for anyone who works with Substances Hazardous to Health. Requirements Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) There are no particular requirements for this Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Training course. Career path Control of Substances Hazardous to Health (COSHH): Control of Substances Hazardous to Health (COSHH) Health and Safety Manager – £55,000 (Approximately) Health and Safety Coordinator – £48,000 (Approximately) Health and Safety Officer – £36,000 (Approximately)

Selling isn’t just about pushing products – it’s about conversations, timing, and knowing how to build trust without sounding like a script. This Sales Skills course helps learners grasp the essentials of persuasive communication, structured selling techniques, and relationship-focused approaches that actually work – whether you're closing deals over the phone, via email, or online platforms. It’s designed to sharpen your ability to identify buying signals, manage objections with confidence, and keep conversations naturally flowing towards a positive outcome. Whether you're new to the world of sales or you’re aiming to sharpen the edges of your approach, this CPD-accredited course offers a clear path to refining your strategies without wading through fluff. With modules tailored to today’s fast-paced digital environments, you’ll learn how to adjust your tone, time your follow-ups smartly, and build rapport in ways that feel authentic. No jargon, no awkward pitch lines – just solid sales skills that help people say “yes” more often. Alongside the lessons, you also get a certificate for free after passing the course for all your career advancement needs. With tutor support, a money-back guarantee and CPD certification, there's no better course out there for you to learn about Sales Skills - CPD Accredited. Enrol now and we'll see you in class. P.S. - there's a full curriculum breakdown given in the description section below. Check it out if you want more information about the course and the topics it covers. Course Curriculum: Module One: Basic Rules for Sales People Module Two: Cold Calling Module Three: Face-to-Face Meetings Module Four: Rapport Building Module Five: Sales Presentations Module Six: Results Selling Module Seven: Handling Negotiations Module Eight: Dealing With Objections Module Nine: Closing the Sale Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Sales Skills - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Sales Skills - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Sales Skills - CPD Accredited training.

The Digital Product Management - CPD Accredited Course is designed to equip learners with the strategic mindset and techniques needed to manage digital products in today's fast-paced market. In an era where technology drives business success, this course offers a deep dive into the methodologies and frameworks used by top-tier product managers. Whether you're aspiring to break into the field or aiming to refine your skills, this course ensures you gain a robust understanding of digital product lifecycles, from ideation to launch and beyond. Delivered entirely online, this course will guide you through the latest tools, trends, and challenges in digital product management. The curriculum blends theory with insight into current industry practices, focusing on the strategies required to steer digital products toward success. With a strong emphasis on data-driven decision-making, you’ll be able to navigate the complexities of user experience, market research, and cross-functional collaboration. If you’re looking to master the art of managing digital products effectively, this course is the perfect choice for you. Enrol with confidence, train with Training Express and supercharge your career in no time. Course Curriculum: Module 01: Basics of Digital Product Management Module 02: Understanding Market and Customers Module 03: Strategy Development Module 04: Roadmap Module 05: Development Methodologies Module 06: Analytics and Metrics Module 07: Marketing Module 08: Legal Aspects Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing an online module. For each test, the pass mark will be set to 60%. Accredited Certificate After successfully completing this Digital Product Management - CPD Accredited course, you will qualify for the CPD Quality Standards (CPD QS) certificate from Training Express. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Digital Product Management - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Digital Product Management - CPD Accredited training.

The financial world may look complex from the outside, but understanding its inner workings can be both rewarding and intellectually satisfying. This Investment Banking course cuts through the jargon and delivers clear, structured insights into how deals are brokered, markets move, and institutions operate. Designed for learners curious about the mechanics behind major financial decisions, this course demystifies the roles, responsibilities and strategies used by professionals in high-stakes environments. Whether you're keen on analysing financial statements, exploring mergers and acquisitions, or simply gaining a solid foundation in capital markets, this CPD-accredited programme offers a streamlined and thoughtful approach. You’ll gain knowledge tailored for individuals looking to broaden their financial acumen, deepen their understanding of investment strategies, or explore a possible direction in finance. It’s all about learning smart, not hard—with content that respects your time and rewards your focus. Enrol now and we'll see you in class. P.S. - There's a full curriculum breakdown given in the description section below. Check it out if you want more information about the course and the topics it covers. Course Curriculum: Module 01: Introduction to Landscape Architecture Module 02: Green-scaping Module 03: Planting Trees and Shrubs Module 04: Maintenance of Planting Module 05: Pathways Module 06: Walls and Fences Module 07: Water Features Module 08: Entertainment and Recycling Projects Module 09: Landscape Ecology Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Investment Banking - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Certification Service Who is this course for? The Investment Banking - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Investment Banking - CPD Accredited training.

In today’s fast-paced digital landscape, mastering the art and science of marketing is more important than ever. This CPD-accredited course offers a deep dive into essential marketing principles, equipping learners with up-to-date strategies to navigate the evolving market environment. Whether you’re looking to enhance your knowledge or refresh your existing skills, this course provides the insight needed to understand consumer behaviour, campaign planning, and the ever-changing dynamics of digital channels—all from the comfort of your own screen. Designed for busy professionals seeking flexible learning, this course combines theory with examples to illuminate how effective marketing drives business success. Expect to explore topics such as branding, content strategy, data analytics, and customer engagement—minus any need for physical attendance or inconvenient schedules. It’s a well-rounded opportunity to boost your credentials while adding a dash of clever marketing know-how to your toolkit. No jargon, no fluff, just straightforward marketing wisdom with a sprinkle of wit to keep you engaged. Course Curriculum: Module One: What is Marketing? Module Two: Common Marketing Types (I) Module Three: Common Marketing Types (II) Module Four: The Marketing Mix Module Five: Communicating the Right Way Module Six: Customer Communications Module Seven: Marketing Goals Module Eight: The Marketing Funnel Module Nine: Marketing Mistakes (I) Module Ten: Marketing Mistakes (II) Course Assessment You will immediately be given access to a specifically crafted MCQ test upon completing Marketing - CPD Accredited course. For each test, the pass mark will be set to 60%. CPD 10 CPD hours / points Accredited by The CPD Quality Standards (CPD QS) Who is this course for? The Marketing - CPD Accredited training is ideal for highly motivated individuals or teams who want to enhance their skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Learn the essential skills and knowledge you need to excel in your professional life with the help & guidance from our Marketing - CPD Accredited training.