22228 Materials courses

PYTHON BOOTCAMP: This 12-week Python Data Analytics Data Boot Camp is designed to give you a complete skill set required by data analysts . You will be fully fluent and confident as a Python data analyst, with full understanding of Python Programming. From Data, databases, datasets, importing, cleaning, transforming, analysing to visualisation and creating awesome dashboards The course is a practical, instructor-lead program.

A practical and participatory two-day introductory course for anyone wanting to develop a deeper relationship to ink and ochre. We will walk in the beautiful Ashdown Forest; we will reverently forage minerals and materials which we will transform - through various alchemical processes - into pigment, paint and ink. These endeavours will be accompanied by exercises in contemplative pattern construction and plein-air sketching.

3 Days We run weekly open courses for accreditations including CPCS, CSCS Health & Safety, NPORS, IFAP, SMSTS and more. We also offer bespoke training courses or in house training nationwide. Upon arrival at our centres candidates will be inducted to the site by their qualified instructor who will be training them for the day. After registration candidates will be issued with a pack full of information relevant to the category they are being trained in. Included in this pack are theory questions, practical specifications, pre-start check lists, marking sheets and more. We ensure that these materials provided excel the individual to successfully complete their course. We are aware that having good quality machines give candidates a significant advantage when undertaking their training. We endeavour to supply candidates with the highest quality plant training and machinery on our site using a variety of certified suppliers. These machines come equipped with all the health and safety features and include – but are not limited to – JCB, Magni, Merlo, Caterpillar, Thwaits and Manitou. Get in touch with us today to find the right course for you. Our team are on-hand and ready to support you with your construction training requirements.

3 Days We run weekly open courses for accreditations including CPCS, CSCS Health & Safety, NPORS, IFAP, SMSTS and more. We also offer bespoke training courses or in house training nationwide. Upon arrival at our centres candidates will be inducted to the site by their qualified instructor who will be training them for the day. After registration candidates will be issued with a pack full of information relevant to the category they are being trained in. Included in this pack are theory questions, practical specifications, pre-start check lists, marking sheets and more. We ensure that these materials provided excel the individual to successfully complete their course. We are aware that having good quality machines give candidates a significant advantage when undertaking their training. We endeavour to supply candidates with the highest quality plant training and machinery on our site using a variety of certified suppliers. These machines come equipped with all the health and safety features and include – but are not limited to – JCB, Magni, Merlo, Caterpillar, Thwaits and Manitou. Get in touch with us today to find the right course for you. Our team are on-hand and ready to support you with your construction training requirements.

4 Days We run weekly open courses for accreditations including CPCS, CSCS Health & Safety, NPORS, IFAP, SMSTS and more. We also offer bespoke training courses or in house training nationwide. Upon arrival at our centres candidates will be inducted to the site by their qualified instructor who will be training them for the day. After registration candidates will be issued with a pack full of information relevant to the category they are being trained in. Included in this pack are theory questions, practical specifications, pre-start check lists, marking sheets and more. We ensure that these materials provided excel the individual to successfully complete their course. We are aware that having good quality machines give candidates a significant advantage when undertaking their training. We endeavour to supply candidates with the highest quality plant training and machinery on our site using a variety of certified suppliers. These machines come equipped with all the health and safety features and include – but are not limited to – JCB, Magni, Merlo, Caterpillar, Thwaits and Manitou. Get in touch with us today to find the right course for you. Our team are on-hand and ready to support you with your construction training requirements.

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.

Explore the latest in transport tech & policy. Join our in-person workshop to gain practical insights and stay ahead in the future mobility landscape.

Getting Started The CMI Level 2 Diploma in Team Leading covers team-leading skills and knowledge and is designed for practising or aspiring team leaders who wish to develop their knowledge and team-leading skills. A wide range of units allows individuals and employers to tailor the elements and size of the qualification to their needs specifically. The CMI Level 2 Diploma in Team Leading is a broad and extensive learning course that gives you an extensive knowledge of core team-leading skills while focusing on the specific leadership areas appropriate to you and your workplace. You'll have a wide range of units to choose from, and depending on your career goals, you can select the modules that will be most effective for your progression. Key Benefits This course will bring you many vital benefits, such as; Development of your skills in effective team leading Ensuring teams can meet organisational objectives Improve problem-solving skills Effective decision making Develop your knowledge of the roles and responsibilities of a team leader Key Highlights Are you a practising or aspiring team leader who wishes to develop team-leading skills and knowledge? Then, the CMI Level 2 qualification in Team Leading is the ideal starting point for your career journey. 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 CMI-approved 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 you with 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 The CMI Level 2 Team Leading can open many career pathways including, but not limited to: Team Leader, with an estimated average salary of £27,835 per annum Supervisor, with an estimated average salary of £22,480 per annum Team Coordinator, with an estimated average salary of £25634 per annum   About Awarding Body Chartered Management Institute established over 60 years ago as the British Institute of Management back then; it has developed the UK's very first diploma in management studies. In the years that followed CMI has consistently been at the forefront of all aspects of management and leadership. Today CMI is the only chartered professional awarding body committed to offering the highest standards in management and leadership excellence. Presently over 100,000 managers use its unique services daily. CMI qualifications aim for managers and leaders at any level, and it remains the only Awarding Body which can award Chartered Manager status - the ultimate management accolade. Employers highly value the qualifications awarded by CMI, and boost your career prospects. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 12 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by CMI-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies Access to CMI Management Direct. It has 100,000s of reliable and validated management and leadership resources, including company and industry reports, videos, checklists, E-books, and journals. You have access to CMI Membership and Support for the duration of your study. Assessment For each module you study, you will complete a written assignment of 1500 to 2,000 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your CMI-approved tutor. Entry Requirements This course is designed for practising or aspiring team leaders who wish to develop their knowledge and team-leading skills. You don't need any formal qualifications to study this course. However, to be eligible for this course, you must:  Be 18 years of age and over Possess the ability to complete the Level 2 course Our friendly admissions advisors will provide the best advice, considering your needs and goals.  Progression On successful completion of a Level 2 qualification in Team Leading, a number of progression opportunities become available: Enhance your professional status by upgrading your CMI membership Progress to other qualifications at the same level (e.g. from Level 2 Award to Level 2 Certificate Etc.) Progress to other qualifications at the next level (e.g. from Level 2 Certificate to Level 3 Certificate) Why gain a CMI Qualification? This course is perfect for you if you are a current or aspiring team leader and want to take your career to the next level. You will develop extensive knowledge of core team-leading skills while focusing on the specific leadership areas appropriate to you and your workplace. This course is designed for team leaders; to support the development of their skills in leading a team, making sure that team's work achieves organisational objectives, and contributing to planning, problem solving and decision making. Upon completing this course, you can progress to: CMI Level 3 Qualifications in First Line Management CMI Level 3 Coaching and Mentoring Studying for a CMI qualification offers you more than just academic standing. When you enrol with us for the CMI Level 2 Diploma in Team Leading, you will have access to CMI Membership and Support for the duration of your study alongside your qualification. CMI graduates achieve remarkable things: 72% agree that their CMI qualification gave them a competitive edge in the job application process. 89% agree they use the skills learnt on their accredited qualification in their current role. 88% agree that the accredited qualification gave them good career prospects. Recent CMI graduates earn a median of 28k compared to just 21k for a typical business studies graduate. Employers highly value the qualifications awarded by CMI, and over 80% of managers agree that a CMI qualification is essential to becoming a professional manager. Learners need to complete all Group A units and any combination of units to a minimum of 5 credits from Group B. Learners need to complete a total of 38 credits to achieve this qualification. The minimum Total Qualification Time is 380 hours, including 115 Guided Learning Hours. 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- Controlling resources Reference No : Unit 2004V1 Credit : 6 || TQT : 60 LEARNING OUTCOMES 1. Be able to identify and source resources needed to achieve team objectives. 2. Be able to manage the resources effectively and efficiently to achieve team objectives. 3. Be able to identify and reduce resource wastage. UNIT2- Communicating with a team Reference No : Unit 2002V1 Credit : 5 || TQT : 50 LEARNING OUTCOMES 1. Understand the role of communication in leading a team. 2. Understand how to organise team briefings. 3. Understand how to lead team briefings. UNIT3- Personal development as a team leader Reference No : Unit 2001V1 Credit : 6 || TQT : 60 LEARNING OUTCOMES 1. Be able to identify work objectives and the skills and knowledge required to meet them. 2. Be able to agree, implement and review the development plan to meet work objectives. 3. Understand team leader's responsibility for welfare in the work area. UNIT4- Building work relationships Reference No : Unit 2005V1 Credit : 5 || TQT : 50 LEARNING OUTCOMES 1. Understand how to communicate and maintain working relationships with the manager. 2. Understand how to develop work relationships outside the team. UNIT5- Developing team needs Reference No : Unit 2006V1 Credit : 6 || TQT : 60 LEARNING OUTCOMES 1. Understand how to plan and implement induction for a new team member. 2. Understand how to identify and plan the training needs of team members. 3. Be able to train a team member to carry out a task. UNIT6- Providing customer service Reference No : Unit 2007V1 Credit : 5 || TQT : 50 LEARNING OUTCOMES 1. Be able to identify the team's customers and the level of service required. 2. Be able to identify and resolve customer service issues. UNIT7- Monitoring team performance Reference No : Unit 2003V1 Credit : 5 || TQT : 50 LEARNING OUTCOMES 1. Understand the team objective(s) and plan for achievement. 2. Be able to plan to achieve team objective(s). 3. Be able to monitor and review the team's performance. 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. Management Direct As part of the program, you will get access to CMI Management Direct, which provides a rich foundation of management and resource for students. The Management Direct is packed with content, including: E-Books Articles Leader videos Idea for leaders Models and so much more... 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.

BYO materials, canvas, drinks from home and join us for a fun evening painting together and chatting with local artists and art enthusiasts. All is welcome w...

Maya Evening Learning Sessions. Maya Evening Learning Sessions offer flexibility for professionals, interactive classes, supportive community, and skill enhancement in a convenient after-work schedule. Perfect for work-life balance and continued education. Click here for more info: Website Tailored Learning: Custom curriculum catering to your skill level. Course Duration: 10 hours. Approach: 1-to-1  Schedule: Craft your learning path by pre-booking hours from Mon to Sat, 9 am to 7 pm, accommodating your convenience. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Participants completing the Maya 10-Hour Course will: Master Maya basics including modeling, texturing, lighting, and animation. Create 3D models, apply textures, and understand lighting and rendering principles. Develop essential skills in animation and special effects. Troubleshoot common issues in 3D projects. Recommended Books: "Introducing Autodesk Maya 2022" by Derakhshani: Comprehensive guide with hands-on tutorials. "Maya Character Creation" by Maraffi: Focuses on character modeling and animation techniques. "The Animator's Survival Kit" by Williams: Timeless principles applicable to any animation software. Maya 10-Hour Course Key Details: Duration: 10 hours of intensive training. Approach: Hands-on, interactive sessions focusing on essential Maya concepts and techniques. Curriculum Highlights: Introduction to Maya: Understanding the software interface and basic tools. 3D Modeling: Mastering polygon modeling techniques and object manipulation. Texturing and Materials: Learning to apply textures, materials, and UV mapping. Lighting and Rendering: Exploring lighting setups, camera compositions, and rendering methods. Animation Fundamentals: Grasping keyframe animation, editing clips, and basic character rigging. Special Effects and Dynamics: Creating particle systems, fluid simulations, and basic special effects. Who Should Attend: Beginners: Individuals new to 3D modeling and animation. Aspiring 3D Artists: Those aiming to pursue careers in animation, gaming, or visual effects. Creative Professionals: Designers and artists looking to expand their skill set into 3D graphics. Job Opportunities: Completing this Maya course equips participants with the skills necessary for various roles, including: 3D Modeler: Creating detailed 3D models for games, movies, or simulations. Animator: Bringing characters and scenes to life through animation. Texture Artist: Designing textures and materials to enhance 3D models. Lighting Artist: Illuminating scenes to evoke specific moods and atmospheres. Visual Effects Artist: Specializing in creating stunning visual effects for films and games. Adaptable Evening Maya Classes In-Depth 10-Hour Maya Program Hands-On Maya Projects Professional Maya Expertise Diverse Maya Applications Guidance from Experts Tailored Learning Experience Ongoing Email Assistance Access to Maya Trial and Resources Ignite Your Creative Potential!