30752 Management courses

Certified Scrum Professional®-ScrumMaster® (CSP®-SM): In-House Training Certified Scrum Professionals challenge their teams to improve the way Scrum and Agile principles are applied. They have demonstrated experience, documented training, and proven knowledge in Scrum. Are you ready to take your knowledge and skillset in your role as Scrum Master to the next level? If so, it's time to elevate your career further by earning the Certified Scrum Professional®-ScrumMaster (CSP®-SM) certification. What you will Learn Learn to find practical solutions and improve your implementation of Scrum in the workplace. Aside from the pride gained and earning potential of attaining CSP® level, you can also: Attend exclusive CSP® events with other leaders in Scrum and Agile Attract more recruiters and command a higher rate of pay Establish a gateway and milestone toward becoming CST®, CEC, or CTC Receive a free premium subscription to the world's largest Agile assessment and continuous improvement platform, Comparative Agility®

***24 Hour Limited Time Flash Sale*** Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Feeling stuck in your career? Struggling to keep up with the ever-changing demands of the industry? You're not alone. But there's good news: Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma career bundle is here to equip you with the essential skills and knowledge you need to break free and achieve your goals. With this Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course you will get 25 CPD Accredited PDF Certificates, Hard Copy Certificate of Adult Nursing & Social Care Training and our exclusive student ID card absolutely free. 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Free CPD Accredited Certificate upon completion of Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Get a free student ID card with Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Lifetime access to the Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course materials Get instant access to this Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course Learn Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma from anywhere in the world 24/7 tutor support with the Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course. Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma is an entirely online, interactive lesson with voice-over audio. Start your learning journey straightaway with our Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Training! Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma course is ideal for: Students seeking mastery in Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Professionals seeking to enhance Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma skills Individuals looking for a Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma-related career. Anyone passionate about Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma Requirements This Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma doesn't require prior experience and is suitable for diverse learners. Career path This Level 2 Certificate in Preparing to Work in Adult Social Care - CPD Certified Diploma bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now! Why is Microsoft important in the workplace? From project management to office coordination, having a stronger command of Microsoft Word, Excel, PowerPoint, Teams, Power BI, OneDrive, and other programmes will benefit your organisation and your work. Also, Microsoft skills can make your work life so much easier that you can complete your tasks in minutes that would take others hours. So enhance your skills and become that go-to guy everyone envies. Industry experts have developed this bundle, which has already helped many learners like you. So, If you want to learn how to use the most popular Microsoft tools, you don't need to look any further than this bundle. This bundle is the only thing you need to go from a complete novice to a skilled Microsoft user. So, enrol in this all-in-one bundle and start learning today. Along with this course, you will get 10 premium courses, an original Hardcopy, 11 PDF Certificates (Main Course + Additional Courses) Student ID card as gifts. This Bundle Consists of the following Premium courses: Course 01: Microsoft SQL Server Development for Everyone Course 02: MS Word Diploma Course 03: Advanced Diploma in MS Excel Course 04: PowerPoint Diploma Course 05: The Complete Microsoft OneDrive Course Course 06: The Complete Microsoft Outlook Masterclass Course 07: New Functions in Microsoft Excel 2021 Course 08: Complete Microsoft Power BI 2021 Course 09: Microsoft Teams Course 10: Outlook Tips and tricks Course 11: Touch Typing Essentials How will I get my Certificate? After successfully completing the Course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99. CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Our course is suitable for all. Requirements This course has no prior requirements. Career path Having this various expertise will increase the value of your CV and open you up to multiple job sectors. Office Administrator PA Secretary Office Worker Manager And much more... Certificates Certificate of completion Digital certificate - Included

Overview Event Coordinator Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Event Coordinator Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Introduction to Event Management Introduction to Event Management 00:26:00 Module 02: Role of an Event Planner Role of an Event Planner 00:33:00 Module 03: Event Classification Event Classification 00:30:00 Module 04: Events and Clients Events and Clients 00:20:00 Module 05: Steps to Plan an Event Steps to Plan an Event 00:29:00 Module 06: Venue Requirements Venue Requirements 00:18:00 Module 07: Invitations, Greetings, and Dress Code Invitations, Greetings, and Dress Code 01:09:00 Module 08: Event Marketing Event Marketing 00:33:00 Module 09: Networking Networking 01:24:00 Module 10: Working with Vendors and Suppliers Working with Vendors and Suppliers 01:18:00 Module 11: Event Decorations Event Decorations 00:27:00 Module 12: Planning a Kids' Party Planning a Kids' Party 00:17:00 Module 13: Types of Kids' Parties Types of Kids' Parties 00:17:00 Module 14: Choosing a Theme Choosing a Theme 00:24:00 Module 15: Planning the Entertainment Planning the Entertainment 00:28:00 Module 16: Catering at Events Catering at Events 00:24:00 Module 17: Cleaning and Waste Disposal Cleaning and Waste Disposal 00:22:00 Module 18: Event Security Event Security 00:18:00

Building High-Performance Teams: In-House Training This course pulls together the most current and popular theories and writings on this complex topic and presents this amalgamated view in a highly interactive workshop and activity-based approach. Students will understand and have the skills required to build and participate in high-performance project teams and will possess the insight to proactively affect change within their respective organizations by guiding the existing culture to one that promotes high performance. What you will Learn At the end of this program, you will be able to: Define a team and describe the optimum team size for effective performance Describe characteristics and guiding behaviors of high-performance teams Describe the major elements of each development stage in two distinct models Recognize cultural barriers in achieving high performance List the attributes of a high-performing corporate culture Assess your own corporate culture Discuss corporate leadership as a factor in building high-performance project teams Describe the three A's of selecting team members State three leadership responsibilities Describe leadership responsibilities, styles, and roles List and describe the eight components of the team charter model for building high-performance teams Foundation Concepts The Nature of Teams Characteristics of High-Performance Teams Understanding Team Development Stages of Team Development - Model 1 Stages of Team Development - Model 2 Designing a High-Performance Culture Corporate Cultures Corporate Leadership Establishing the Attributes of High Performance Choosing the Right People Team Effectiveness Team Leadership The Team Charter Model

ITIL® 4 Specialist: Drive Stakeholder Value: On-Demand The ITIL® 4 Specialist: Drive Stakeholder Value module is part of the Managing Professional stream for ITIL 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Drive Stakeholder Value exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Drive Stakeholder Value exam specification: Understand how customer journeys are designed Know how to target markets and stakeholders Know how to foster stakeholder relationships Know how to shape demand and define service offerings Know how to align expectations and agree on details of services Know how to onboard and offboard customers and users Know how to act together to ensure continual value co-creation (service consumption / provisioning) Know how to realize and validate service value Customer Journey Purpose of the Module Purpose of Mastering the Customer Journey Touchpoints and Service Interactions Module Topics Mapping the Customer Journey Designing the Customer Journey Measuring and Improving the Customer Journey Customer Journey Step 1: Explore Purpose of the Module Purpose of the Explore Step Module Topics Understanding Service Consumers Understanding Service Providers Understanding and Targeting Markets Customer Journey Step 2: Engage Purpose of the Module Purpose of the Engage Step Aspects of Service Value Module Topics Service Relationship Types Building Service Relationships Building and Sustaining Trust and Relationships Analyzing Customer Needs Managing Suppliers and Partners Customer Journey Step 3: Offer Purpose of the Module Purpose of Shaping Demand and Service Offerings Module Topics Managing Demand and Opportunities Specifying and Managing Customer Requirements Designing Service Offerings and User Experience Selling and Obtaining Service Offerings Customer Journey Step 4: Agree Purpose of the Module Purpose of Aligning Expectations and Agreeing on Services Module Topics Agreeing on and Planning Value Co-Creation Negotiating and Agreeing on a Service Customer Journey Step 5: Onboard Purpose of the Module Purpose of Onboarding and Offboarding ITIL® Management Practices Module Topics Planning Onboarding Fostering Relationships with Users Providing User Engagement and Delivery Channels Enabling Users for Service Elevating Mutual Capabilities Offboarding Customer Journey Step 6: Co-create Purpose of the Module Purpose of Service Provision and Consumption Module Topics Service Mindset Ongoing Service Interactions Nurturing User Communities Customer Journey Step 7: Realize Purpose of the Module Measuring Service Value Purpose of Value Capturing and Customer Journey Improvement Realizing Service Value in Different Settings Module Topics Tracking Value Realization Assessing and Reporting Value Realization Evaluating Value Realization and Improving Customer Journeys Realizing Value for the Service Provider

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.

Embark on a journey into the dynamic realm of HR systems with our comprehensive course, 'Complete Guide to HR Systems.' In today's rapidly evolving workplace landscape, the effective management of human resources is paramount for organisational success. Through this course, we delve into the intricate workings of HR software systems, equipping learners with the essential knowledge and skills to navigate this critical aspect of modern HR management. Join us as we unlock the potential of HR systems, empowering you to thrive in HR systems jobs and significantly impact the UK job market. As you immerse yourself in Module 01, you'll gain a profound understanding of the fundamental concepts underpinning HR systems. From Module 02 onwards, we dissect the essential elements constituting a robust HR management system, providing invaluable insights into enhancing organisational efficiency and effectiveness. Module 03 unveils the power of reporting and analytics, enabling you to harness data-driven strategies to drive informed decision-making processes. Transitioning seamlessly into Module 04, we guide you through the intricate process of selecting HR software tailored to meet your organisation's unique needs. With Module 05, you'll learn the intricacies of implementing HR systems, ensuring a smooth integration process for optimal functionality. Finally, in Module 06, we gaze towards the future, equipping you with the foresight to anticipate and adapt to upcoming trends in HR system innovation. Join us on this transformative journey and unlock your potential in the exciting world of HR systems management. Learning Outcomes: Understand the fundamental concepts and principles of HR systems. Identify the essential elements comprising an effective HR management system. Utilise reporting and analytics tools to drive data-driven decision-making processes. Evaluate and select appropriate HR software systems tailored to organisational needs. Implement HR systems with precision and foresight, ensuring seamless integration and functionality. Why buy this Complete Guide to HR System Course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Complete Guide to HR System there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Complete Guide to HR System course for? HR professionals seeking to enhance their knowledge and skills in HR systems management. Business owners and managers aiming to streamline HR processes and improve organisational efficiency. Graduates aspiring to pursue careers in HR systems jobs. Individuals interested in gaining a comprehensive understanding of modern HR management practices. Anyone looking to stay ahead of the curve in the evolving landscape of HR technology. Prerequisites This Complete Guide to HR System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Guide to HR System was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path HR Systems Analyst: £25,000 - £40,000 Per Annum HR Systems Manager: £30,000 - £50,000 Per Annum HR Systems Consultant: £35,000 - £60,000 Per Annum HR Systems Administrator: £20,000 - £35,000 Per Annum HR Software Implementation Specialist: £25,000 - £45,000 Per Annum HR Reporting and Analytics Manager: £35,000 - £55,000 Per Annum Course Curriculum Complete Guide to HR System Module 01: Overview 00:04:00 Module 02: The Element of an HR System 00:10:00 Module 03: Reporting and Analytics 00:11:00 Module 04: Selecting HR Software 00:18:00 Module 05: Implementing HR System 00:15:00 Module 06: Looking Ahead 00:11:00 Assignment Assignment - Complete Guide to HR System 00:00:00

Level 4 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Overview   With the ever-increasing demand for Online Meeting in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Online Meeting may be.   Learning about Online Meeting or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Online Meeting. That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Online Meeting is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates.   The self-paced online learning methodology by Compete High in this Online Meeting Management course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course!   Instead of searching for hours, enrol right away on this Online Meeting Management course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run.   Who is this course for?   While we refrain from discouraging anyone wanting to do this Online Meeting Management course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Online Meeting, Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Online Meeting, Anyone looking for a certificate of completion on doing an online training on this topic, Students of Online Meeting, or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity   Career Path   This Online Meeting Management course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams. Course Curriculum Module 01 - Planning & Preparation Planning & Preparation 00:00 Module 02 - Online Meeting Platforms Online Meeting Platforms 00:00 Module 03 - Meeting Etiquette Meeting Etiquette 00:00 Module 04 - Meeting Roles and Responsibilities Meeting Roles and Responsibilities 00:00 Module 05 - Selecting The Right Meeting Attendees Selecting The Right Meeting Attendees 00:00 Module 06 - Preparation for a Business Meeting Preparation for a Business Meeting 00:00 Module 07 - How To Professionally Deal With Personality Conflicts How To Professionally Deal With Personality Conflicts 00:00 Module 08 - Powerful Tips for Highly Productive Online Meetings Powerful Tips for Highly Productive Online Meetings 00:00