11443 Professional Development courses near Perth, UK delivered Online

This Coaching Program is unlike any other Coaching certification in the Market, It gives you the exclusive opportunity to be qualified as an Executive & Life Coach, as well as learn the NLP tools and the business building aspect.

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

Presentation Skills 101 is a course designed for those who want to improve their public speaking skills by learning basic skills of persuasion and developing more confidence, credibility and composure when presenting.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Learning Support Assistant (LSA) Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Learning Support Assistant (LSA) Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Learning Support Assistant (LSA) Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Learning Support Assistant (LSA) Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Learning Support Assistant (LSA)? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Learning Support Assistant (LSA) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Learning Support Assistant (LSA) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Learning Support Assistant (LSA) does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Learning Support Assistant (LSA) was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Learning Support Assistant (LSA) is a great way for you to gain multiple skills from the comfort of your home.   Module-01: The Roles of a Learning Support Assistant (LSA) The Roles of a Learning Support Assistant (LSA) 00:26:00 Module-02: Working with Children in a School Working with Children in a School 00:18:00 Module-03: Assessing Students Assessing Students 00:12:00 Module-04: Skills of a Learning Support Assistant Skills of a Learning Support Assistant 00:23:00 Module-05: Providing for All Children Providing for All Children 00:28:00 Module-06: Safeguarding and Wellbeing of Children and Young People Safeguarding and Wellbeing of Children and Young People 00:22:00 Module-07: Dealing with Emergencies Dealing with Emergencies 00:21:00 Module-08: Special Educational Needs (SEN) Special Educational Needs (SEN) 00:38:00 Module-09: Professional Development Professional Development 00:24:00 Module-10: Time and Stress Management Time and Stress Management 00:21:00 Assignment Assignment - Learning Support Assistant (LSA) 06:26:00

Begin your sales journey with the ‘Basics of Sales’ course. From sales skills development to market understanding, presentation techniques, and future trends, this course provides a foundational blueprint for success in the sales arena.

Get ready for an exceptional online learning experience with the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. This Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Vehicle Maintenance package has something for everyone. As part of the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) package, you will receive complimentary PDF certificates for all courses in Vehicle Maintenance bundle at no extra cost. Equip yourself with the Vehicle Maintenance bundle to confidently navigate your career path or personal development journey. Enrol our Vehicle Maintenance bundletoday and start your career growth! This Vehicle Maintenance Bundle Comprises the Following CPD Accredited Courses: Mechanical Engineering Electric Vehicle Battery Management System Automotive Engineering: Onboard Diagnostics Hybrid Vehicle Expert Training Large Goods Vehicle (LGV) Car Mechanic Interactive Online Training Bicycle Maintenance Course Motorbike Maintenance Course Automotive Engineering: Onboard Diagnostics Diploma in Supercharger Automobile Engineering Crack Your Mechanical Engineer Interview Engine Lubrication Systems Online Course MET Technician Workshop Technology: Machine Shop Theory Workplace First Aid Online Training Course Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: By completing the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) course, you will: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Vehicle Maintenance Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with the Vehicle Maintenance Bundle. Build a strong knowledge base in your chosen course via the Vehicle Maintenance Bundle. Benefit from the flexibility and convenience of online learning. With the Vehicle Maintenance package, validate your learning with a CPD certificate. Each course in Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician), a rich anthology of 15 diverse courses. Each course in the Vehicle Maintenance bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) bundle will take you on a unique and enriching educational journey. The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) bundle offers you the flexibility and convenience to learn at your own pace. Make the Vehicle Maintenance package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Requirements Without any formal requirements, you can delightfully enrol this Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician) course. Career path Unleash your potential with the Vehicle Maintenance (Mechanical Engineering, Car, Motorbike & Met Technician)bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Vehicle Maintenance bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Get ready for an exceptional online learning experience with the Branding, Strategic Marketing, Business Management, SEO & Social Media bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations. Branding, Strategic Marketing, Business Management, SEO & Social Media is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. This Branding & Strategic Marketing offers the perfect balance of foundational understanding and advanced insights. Whether you're looking to break into a new field or deepen your existing knowledge, the Branding & Strategic Marketing package has something for everyone. As part of the Branding, Strategic Marketing, Business Management, SEO & Social Media package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Branding & Strategic Marketing bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth! This Branding & Strategic Marketing Bundle Comprises the Following CPD Accredited Courses: Branding Fundamentals for New Business Branding Your Business Developing Strategic Executive Management How to Produce a Creative Marketing Strategy Win Customers Efficiently: Customer Service Diploma Business Management and Finance Course Communication Masterclass Building Strong Relationships Learn to Identify and Solve Business Problems Creating and Branding with Canva for Beginners How To Do Keyword Research For SEO & Ranking On Google Linkedin Marketing for Business Youtube Marketing Strategy Facebook Marketing Strategy for Business Social Media Strategy for Business Learn to Optimize Results With Facebook Analytics Creating and Branding with Canva Advanced Level Career Development Plan Fundamentals CV Writing and Job Searching Learn to Level Up Your Leadership Networking Skills for Personal Success Ace Your Presentations: Public Speaking Masterclass Learning Outcome: Gain comprehensive insights into multiple fields. Foster critical thinking and problem-solving skills across various disciplines. Understand industry trends and best practices through the Branding & Strategic Marketing Bundle. Develop practical skills applicable to real-world situations. Enhance personal and professional growth with Branding & Strategic Marketing. Build a strong knowledge base in your chosen course via Branding & Strategic Marketing. Benefit from the flexibility and convenience of online learning. With the Branding & Strategic Marketing package, validate your learning with a CPD certificate. Each course of this Branding & Strategic Marketing bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This Branding & Strategic Marketing bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development. Embrace the future of learning with Branding, Strategic Marketing, Business Management, SEO & Social Media, a rich anthology of 15 diverse courses. Each course in the Branding & Strategic Marketing bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Branding, Strategic Marketing, Business Management, SEO & Social Media bundle will take you on a unique and enriching educational journey. The Branding & Strategic Marketing bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Branding, Strategic Marketing, Business Management, SEO & Social Media bundle offers you the flexibility and convenience to learn at your own pace. Make the Branding & Strategic Marketing package your trusted companion in your lifelong learning journey. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Branding, Strategic Marketing, Business Management, SEO & Social Media bundle is perfect for: Lifelong learners looking to expand their knowledge and skills. Professionals seeking to enhance their career with CPD certification. Individuals wanting to explore new fields and disciplines. Anyone who values flexible, self-paced learning from the comfort of home. Career path Unleash your potential with the Branding, Strategic Marketing, Business Management, SEO & Social Media bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the Branding & Strategic Marketing bundle package. Certificates Certificate Of Completion Digital certificate - Included Certificate Of Completion Hard copy certificate - Included You will get a complimentary Hard Copy Certificate.

Women in Local Government Leadership Workshop is for Local Government professionals looking to learn new skills with like-minded peers and further or advance their within Local government.

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.

Are you ready to take your professional game to the next level? 🚀 Introducing our comprehensive course: 'Workplace Professionalism'! Whether you're a seasoned professional looking to refine your skills or a newcomer eager to make a lasting impression in the corporate world, this course is designed to equip you with the essential tools and mindset for success.   👔 Unlock Your Potential: In today's competitive job market, professionalism isn't just a desirable trait - it's a necessity. Our course delves into the core principles of workplace professionalism, empowering you to navigate the intricacies of professional environments with confidence and finesse. From effective communication to ethical decision-making, you'll gain invaluable insights that will set you apart from the crowd.   📚 Comprehensive Curriculum: Our expertly crafted curriculum covers a wide range of topics essential for thriving in any professional setting. Learn how to cultivate a positive attitude, master the art of time management, and develop strong interpersonal skills that foster collaboration and teamwork. With engaging lectures, interactive exercises, and real-world case studies, you'll acquire practical knowledge that you can apply immediately in your professional life.   🎓 Who is this for?: This course is ideal for professionals at all stages of their careers, including recent graduates entering the workforce, mid-level managers aiming for advancement, and seasoned executives seeking to refine their leadership skills. Whether you work in corporate, nonprofit, government, or entrepreneurial sectors, the principles of workplace professionalism are universally applicable.   🌟 Benefits of Taking the Course: Enhance your professional image and credibility Build strong relationships with colleagues, clients, and stakeholders Improve your productivity and efficiency in the workplace Navigate workplace conflicts and challenges with grace and diplomacy Position yourself for career advancement and leadership opportunities   💼 Career Path: The skills and knowledge gained from our 'Workplace Professionalism' course can open doors to a variety of exciting career paths. Whether you aspire to climb the corporate ladder, launch your own business, or make a meaningful impact in your community, professionalism is the cornerstone of success in any endeavor. From entry-level positions to executive leadership roles, employers value professionals who exemplify integrity, professionalism, and a commitment to excellence.   🔍 Invest in Your Future: In today's dynamic and fast-paced work environments, investing in your professional development is more important than ever. By enrolling in our 'Workplace Professionalism' course, you're not just investing in yourself - you're investing in your future success and fulfillment. Join thousands of professionals around the world who have transformed their careers with our proven curriculum.   Don't let opportunities pass you by - elevate your professional presence and unlock your full potential with our 'Workplace Professionalism' course. Enroll today and take the first step toward a brighter, more prosperous future! 🌟 Course Curriculum Module 1 Introduction to Workplace Professionalism Introduction to Workplace Professionalism 00:00 Module 2 Communication Skills Communication Skills 00:00 Module 3 Ethics and Integrity in the Workplace Ethics and Integrity in the Workplace 00:00 Module 4 Teamwork in the Workplace Teamwork in the Workplace 00:00 Module 5 Time Management and Productivity in the Workplace Time Management and Productivity in the Workplace 00:00 Module 6 Communication and Interpersonal Skills in the Workplace Communication and Interpersonal Skills in the Workplace 00:00 Module 7 Professional Development and Career Growth in the Workplace Professional Development and Career Growth in the Workplace 00:00 Module 8 Leadership in the Workplace Leadership in the Workplace 00:00 Module 9 Collaboration in the Workplace Collaboration in the Workplace 00:00 Module 10 Time Management and Productivity in the Workplace Time Management and Productivity in the Workplace 00:00