4325 Object courses in Cardiff delivered On Demand

RESILIA Foundation Passport: On-Demand The RESILIA Foundation qualification takes participants through a lifecycle approach to organizational cyber resilience, from creating a strategy aligned to business objectives through to operational cyber resilience activities. The course is suitable for anyone who needs an awareness of how to protect an organization's information assets, as well as how to recover from a cyber breach. What You Will Learn At the end of this course, you will be able: Demonstrate your knowledge of the purpose, benefits, and key terms of cyber resilience Demonstrate your knowledge of the risk management and the key activities needed to address risks and opportunities Demonstrate your knowledge of the purpose of a management system and how best practices and standards can contribute Demonstrate your knowledge of the cyber resilience strategy, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience design, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience transition, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience operation, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience continual improvement, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of the purpose and benefits of segregation of duties and dual controls Course Introduction Introduction to Cyber Resilience Risk Management Managing Cyber Resilience Cyber Resilience Strategy Cyber Resilience Design Cyber Resilience Transition Cyber Resilience Operation Cyber Resilience Continual Improvement Cyber Resilience Roles & Responsibilities

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 aims to help you write effective objectives that deliver results. It covers the importance of goals and objectives and why we need them, the barriers to you achieving your objectives and how to overcome them, what SMART objectives are and how to write and identify them and concludes with some tips for successful objective setting.

Awarded by ATHE + Ofqual Regulated + TOTUM Pro Discount Card + Tutor Support + Fully Online + Job Placement Assistance

ICA Specialist Certificate in Corporate Governance - Course Overview Corporate governance is a key driver in delivering the right outcomes for organisations and helping them to meet corporate objectives. Regulators view effective corporate governance mechanisms as good indicators of a firm's culture of compliance because good governance is likely to indicate good internal culture. This online course will help you: get to grips with the purpose, key success factors and risks associated with governance understand the impact of good governance on the success of organisational strategies assess and design frameworks that serve your firm's objectives and improve performance evaluate the impact of the digital revolution on governance and future developments ICA Specialist Certificates, awarded in association with Alliance Manchester Business School, the University of Manchester, will help you quickly gain actionable knowledge to boost your confidence and credibility. Upon successful completion of this course, students will be awarded the ICA Certificate in Corporate Governance and will be entitled to use the designation -Spec.Cert(CorpGov) The function and purpose of the organisation The governance of regulated enterprise and the purpose of the Board of Directors The importance, impact and opportunity of organisational culture Conflict management in the organisation Organisational structure, hierarchy and policy frameworks Communication strategy Internal control and influence power Broad-base governance - beyond the balance sheet The digital revolution and its influence on governance Governance - a never ending story

The all new NASM Physique and Bodybuilding Coach specialization (NASM-PBC) will deliver your next step in fitness programming knowledge to meet the needs of bodybuilding and physique clients. The curriculum takes a comprehensive approach to physique programming, covering everything from weight training, nutrition, and supplementation techniques for physique athletes and fitness enthusiasts of all levels and experiences. The NASM-PBC takes the guesswork out of training for physique goals. Through expert insight and detailed resources, you can help clients break through all the misinformation and noise of physique training seen on social media and the internet. You’ll tap into well-rounded programming that gives you the inspiration, insight, and methods to successfully reach your goals or coach clients toward their aesthetic aspirations. Master the art and science of coaching physique and bodybuilding athletes. Become the expert your clients turn to for all their body transformation needs.

This GRI, IEMA & CPD course is geared for busy professionals who want to understand how to proceed and create a 1st Class GRI Standards Sustainability Report and have a plan for immediate sustainability action without wasting time.

Take a thrilling dive into the interdisciplinary subject of A-Level Business, where the compelling worlds of accountancy, leadership, economics, law, and social psychology intersect. Our subject is contemporary, reflecting the "real-world" demand by prospective employers and establishing its relevancy and significance. Our A-Level Business course offers a robust introduction to the ever-evolving global business landscape, equipping you with skills that span across all facets of running a business, right down to the entrepreneurial skills required to launch your own. Upon completion, you'll boast a profound understanding of business, its role in society and the extensive scope it covers. As part of this course, you'll gain a critical understanding of various business forms, their respective markets, and the intricacies of adding value. The A-Level Business course will arm you with the necessary tools and knowledge to comprehend how businesses are conceived, managed, and steered towards success, positioning you as an invaluable asset to potential employers. This home-study course adheres to the latest AQA A-Level Business syllabus and is meticulously crafted for online study at your convenience. With unlimited tutor support, a clear induction, and well-structured assignments, we'll help you develop the required skills and knowledge for the exam. If you're planning to sit your final A-Level examinations in the UK, rest assured we guarantee access to one of our exam centres. Experience the advantages of: - Fresh course content, written to the latest specification, featuring dynamic and engaging material - Fast track availability (for exams in 2022) - Access to our network of partnership exam centres (guaranteed exam venue) - Unending tutor support – we'll assist in crafting a study plan and offer consistent support - Exam pass guarantee (If you fail on your first attempt, we'll back you up to the next exam) A-Level Business will enhance a myriad of critical skills such as presenting substantiated arguments, making recommendations based on evidence, and problem-solving. Awarding body: AQA Our course code: X908 Qualification code: 7132 AQA qualifications are internationally acknowledged and taught across 30 countries, highly prized by employers and universities alike, enabling students to progress to the next stage of their lives. They accommodate a range of abilities and include GCSEs, IGCSEs and A-levels. ⏱ Study Hours: Anticipate between 250 and 300 hours of study time, in addition to time for completing assignments. 👩‍🏫 Study Method: Our course is disseminated through our interactive online learning platform. If preferred, you can print the learning materials. The resources are offered in a variety of formats including videos, quizzes, and interactive activities. 📆 Course Duration: Your course will last up to 24 months from enrolment. You will receive login details to our MyOxbridge portal, where all learning materials are available. 📋 Assessment: Enrolments for examinations from Summer 2022 are open. You'll be required to complete three standard A-Level written exams, each contributing to 33.3% of your A-Level, with 100 marks. If you don’t pass the first time, we’ll support you for free, to your next exams. 👩‍🎓 Course Outcomes: Successfully completing this home learning course will result in an A-Level in Business, issued by AQA, a leading awarding body. This syllabus (7132) has been specifically chosen for its suitability to online learning and its high probability of success. ℹ️ Additional Information: Level 3 Difficulty. GCSE level education or equivalent is recommended for this course. Internet access is required.  UCAS Points - 56 Course Content: The course is structured into various modules covering topics such as the nature and purpose of business, decision-making in various areas, strategic business positioning, and managing strategic change, among others. Here's a brief overview of each module: 1️⃣ What is business?: This module lays a strong foundation of understanding around the nature, purpose, and different forms of business. You'll explore how external environments can affect cost and demand in the private and public sector. 2️⃣ Managers, leadership and decision making: Understand the crucial role of managers, effective decision making and leadership styles, and their impact on the success of a business. 3️⃣ Decision making to improve marketing performance: Learn to conduct marketing research, set objectives and improve performance. Explore how technological advancements influence decision-making and marketing activities. 4️⃣ Decision making to improve operational performance: Master the art of increasing efficiency and labour productivity. You'll delve into the ethical and environmental influences on operational decisions and how they bolster a business's competitiveness. 5️⃣ Decision making to improve financial performance: Learn about factors influencing financial decisions and the key financial concepts like return on investment, cash flow, and profit. 6️⃣ Decision making to improve human resource performance: Understand the importance of motivation and engagement in the workplace and the impact of various internal and external influences on human resources decisions. 7️⃣ Analysing the strategic position of a business: Develop a comprehensive understanding of strategic positioning, mission, and corporate objectives, and learn how to evaluate the impact of strategic positioning on functional decision-making and profits. 8️⃣ Choosing strategic direction: Understand the factors that influence market and product choices and the rationale behind different strategic directions. 9️⃣ Strategic methods: how to pursue strategies: Discover the importance of innovation in supporting business growth strategies and learn about the advantages of targeting and operating in international markets. 🔟 Managing strategic change: Lastly, you will learn about the challenges of changing organisational culture and how to effectively implement strategic change. This comprehensive course is designed to arm you with an understanding of the business world, preparing you for the next step in your career or academic journey. With a blend of theory, real-world examples, and interactive activities, this course is not just an educational experience, but a preparation for the future. Start your journey with us today! 🚀

An accredited qualification for current and prospective managers. This programme gives Team Leaders & Managers the skills, disciplines and confidence to manage their team effectively and add a great deal more value to the organisation - where they have to apply their learning in order to achieve the highly coveted ILM qualification. One of the main responsibilities of a manager is to make sure that employees are satisfied with their job and reaching their full potential. A manager who can energise his or her employees will have a team which has a much greater potential and capability of achieving company goals and objectives. It is therefore vital that a manager has the essential skills to fully support and lead their team to success. This 3-day programme brings together the key leadership skills that you will need to be an effective manager so that you can return to the workplace and deliver tangible results. All of our ILM Programmes are provided in partnership with The BCF Group, which is the ILM Approved Centre we deliver under. Course Syllabus The syllabus of the ILM Level 3 Award in Leadership and Management course is split into three main modules, covering the following: Module OneSolving Problems and Making Decisions What is a problem? How to identify a problem, its nature, scope and impact Identifying the root cause Understanding how to interpret information to solve a problem What is involved in making an informed decision? Generate ideas/solutions- creative thinking techniques How to evaluate your options Finding the critical path Having confidence to commit to a decision Planning approach Communicating the decision Implementing the plan Module TwoUnderstanding Leadership What is leadership? Recognise the differences and similarities between leadership and management Qualities and skills of a leader Action Centered Leadership - Team, Task, Individual - John Adair Varying leadership styles Evaluating a range of leadership models and their significance for: Task, Performance, Culture, Relationships Reflect on your own leadership styles and behaviours Create an action plan to enhance your performance Module ThreeUnderstanding the Communication Process in the Workplace Identify what is effective communication Understand the importance of effective communication at work Recognise the different ways we communicate Recognise possible barriers to communication and how to overcome them Johari's window - communication flows How others will perceive and interpret the information you have provided Active listening Developing questioning skills Understanding the significance of non-verbal communication and body language Developing sensory acuity and how to use it effectively in the workplace In-House & Classroom Courses Available Online We have developed an alternative to traditional face-to-face training that continues to provide a full learning experience, and allows delegates to learn effectively whilst self-isolating from home. This is how it looks: Delegates booked on Classroom and In-House courses will continue to have access to their trainer online throughout the days that the course is booked to run. Prior to a delegate's course start date, they will be enrolled on our e-learning platform (in partnership with BCF Group) for the course they are booked on to. They will also be given contact information for their trainer, and details of how to access the online workshops. Delegates will not require any special IT equipment. A desktop computer, laptop, tablet, or a mobile phone with internet and audio capability is all that is required. Delegates taking ILM Qualifications will then proceed to the book review, video review and work based assignments with 12 months tutor support as appropriate, and in line with our previous arrangements. We hope you agree that this blended learning experience represents the safest way to continue supporting our clients and delegates during the Coronavirus disruption. In-House Courses As well as being one of the most popular open courses, we can also arrange this course as an in-house programme for companies and organisations who wish to develop a number of their managers at the same time, and would find an in-house course at their own premises much more suitable. Scheduled Courses On-Demand Course - Self-paced The online course option includes a comprehensive course manual, book reviews, useful guides and personalised tutor support. You will also be able to upload assessments online and receive online feedback. Our online training option gives you 24/7 access to our learning platform for the duration of your course. The programme elements and assignments can be completed as quickly as you like, with the only time limit being that the final assignment has to be submitted to ILM within 12 months of your registration on the programme. Cost: £695 + vat Dickson Training Ltd Founded in 1985 in Yorkshire, we have built an impressive and loyal client base. Our partnerships are built by consistently delivering outstanding development solutions and working in close collaboration with our clients, resulting in us becoming a leading UK and international training provider.

Students who complete PVOL206 will be able to: Discuss the basics of policy and its effect on the solar industry Identify resources to learn more about policy and keep up to date with new developments Describe general sales tips Discuss common objections Identify techniques to close a sale Identify customer motivations and needs Discuss project timeline with customer Manage customer expectations and advise about PV system limitations Discuss manufactures, installation, and roof warranties Explain expected system performance Identify jurisdictional issues (zoning, fire marshal regulations) and city, county, and utility requirements Understand electric bill terminology, key information, and billing procedures Recognize any variations in energy use Determine property type, house orientation, roof tilt/angle, and available area Identify any shading and evaluate obstructions Estimate array size based on customer budget, kWh consumption, and / or available roof area Price array size based on average $/watt Develop price range, savings estimate, and preliminary economic analysis Present (verbal / brief) initial ballpark proposal and benefits, discuss customer's budget limits Identify overall customer considerations and general safety requirements Define the electrical meter and main service panel information required Identify point of interconnection, location for electrical equipment, and location for conduit runs Describe factors to consider with data monitoring Determine maximum PV capacity that can be connected to a specific service and/or electrical panel Create a final array layout Accurately estimate PV system production Define metrics to evaluate labor and material costs Calculate an average residential system cost & identify the major contributing factors Identify the main benefits of reviewing actual build data (job costing) Define property tax exemptions, tax deductions, transfer credits, sales tax exemptions Explain performance based-initiatives Evaluate taxability of credits and other incentives Review net-metering and feed-in tariff laws Identify different utility financial structures and regulated and deregulated markets Describe demand charges & the duck curve Outline financing basics Explore ownership models Calculate annual and cumulative cash flow, determine payback Calculate the environmental benefits of installing solar Identify what to include in a proposal, the proposal process, and what tools are available to generate proposals