1668 Diploma in Management Studies (DMS) courses

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.

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Overview: Tired of searching and accumulating all the relevant courses for this specific field? It takes a substantial amount of your time and, more importantly, costs you a fortune! Well, we have just come up with the ultimate solution for you by giving this all-inclusive HR Management mega bundle. This 20 courses mega bundle keeps you up-to-date in this field and takes you one step ahead of others. Keeping in mind the latest advancements in this ever-emerging sector, the HR Management bundle covers all the state-of-the-art tools and techniques required to become a competent worker in this area. You will encounter specific courses relevant to the sector. We take you from the most introductory fundamentals to advance knowledge in a step-by-step manner. In addition, the HR Management bundle also consists of courses related to some soft skills that you will need to succeed in any industry or job sector. This HR Management Bundle consists of the following premium courses: Course 01: HR Management Course 02: HR Virtual Interview Techniques Course 03: Managing Online Meetings Course 04: Decision Making in High Stress Course 05: Supporting a Grieving Employee Course 06: Working from Home Essentials Course 07: HR Crisis Communication Training Course 08: Employment Law for HR Course 09: Administrative Management Course 10: Managing Budgets Course 11: Business Analysis Course 12: Business Ethics for the Office Course 13: Diploma in Management Skills Course 14: Goal Setting & Accomplishment Course 15: Team Management Advanced Training Course 16: Talent Management Course 17: Ethical Leadership Principles Course 18: Risk Management: Risk Assessment & Analysis Course 19: Conflict Management and Crucial Communications Course 20: Customer Relationship Management Our cutting-edge learning package offers top-notch digital aid and first-rate tutor support. You will acquire the crucial hard and soft skills needed for career advancement because this bundle has been thoroughly examined and is career-friendly. So don't overthink! Enrol today. Learning Outcomes of this HR Training Bundle: This unique HR Management mega bundle will help you to- Quench your thirst for knowledge Be up-to-date about the latest advancements Achieve your dream career goal in this sector Know the applicable rules and regulations needed for a professional in this area Acquire some valuable knowledge related to HR Management to uplift your morale Key Features of the HR Management Course: FREE HR Management CPD-accredited certificate Get a free student ID card with HR Management training (£10 applicable for international delivery) Lifetime access to the HR Management course materials The HR Management program comes with 24/7 tutor support Get instant access to this HR Management course Learn HR Management training from anywhere in the world The HR Management training is affordable and simple to understand The HR Management training is entirely online Enrol in HR Management today and start your journey towards becoming successful! Description: The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. Certificates: PDF Certificate: Free for all 20 courses Hard Copy Certificate: Free (For The Title Course: Previously it was £14.99) Who is this course for? The HR Management bundle is designed to assist anyone with a curious mind, anyone looking to boost their CVs or individuals looking to upgrade their career to the next level can also benefit from the learning materials. Requirements The courses in this bundle has been designed to be fully compatible with tablets and smartphones. Career path This HR Management bundle will give you an edge over other competitors and will open the doors for you to a plethora of career opportunities. Certificates Digital certificate - Included Hard copy certificate - Included You will get the Hard Copy certificate for the title course (HR Management) absolutely Free! Other Hard Copy certificates are available for £14.99 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Course overview Managerial Accounting helps managers make informed decisions and effectively manage their business operations. It focuses on an organization's internal finances and aims to maximize profit and minimize loss. Explore the fundamentals of Managerial Accounting with this highly-acclaimed Diploma in Managerial Accounting course. In this Diploma in Managerial Accounting course, you will gain a comprehensive understanding of Managerial Accounting and identify how it helps managers. You will learn the process of allocating cost to multiple products and understand the purpose of activity-based costing. The course also discusses the key strategies of cost behavior, sales mix, budgeting, and capital investment analysis. By the end of the period, you will have a clear concept of how to analyze business expenses and prepare financial reports to help managers make investment decisions.  Learning outcomes Familiarize yourself with the trends in Managerial Accounting Understand the difference between Managerial accounting and Financial accounting Understand product cost vs job cost Determine cost behavior Identify what causes a change in the break-even point Learn about operating budgets Learn how to calculate the sales mix Identify the steps of capital investment analysis Who Is This Course For? This Diploma in Managerial Accounting course is recommended to anyone interested in gaining relevant skills in Managerial Accounting to make effective managerial decisions. In addition, the skills gained from this training will provide excellent opportunities for career advancement.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path The Diploma in Managerial Accounting course provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as: Management Accountant Business Professional Business Manager Setion 1 Manaerial Accounting Defined 00:05:00 Financial Accounting Compared to Managerial Accounting 00:09:00 Trends 00:14:00 Foundation Concepts part 1 00:09:00 Foundation Concepts part 2 00:10:00 Foundation Concepts part 3 00:11:00 Setion 2 Process costing vs Job Cost 00:08:00 Job cost part 1 00:10:00 Job cost part 2 00:08:00 Allocating costs to multiple products 00:13:00 Departmental Overhead Rate 00:09:00 Activity Based Costing 00:11:00 Setion 3 Cost Behavior 00:12:00 Cost Behavior Continued 00:16:00 Break Even Point 00:11:00 Break Even Point Changes 00:06:00 Sales Mix 00:08:00 Pricing 00:13:00 Short Term Decisions 00:13:00 Setion 4 Budgeting Intro 00:12:00 Budgetin continued 00:15:00 Operating Budgets 00:06:00 Cash Budget 00:09:00 Budgeted Balance Sheet 00:05:00 Performance Evaluation 00:12:00 Performance Evaluation Cont p1 00:11:00 Performance Evaluation Cont p2 00:07:00 Standards 00:09:00 Standard Costs Continued 00:16:00 Setion 5 Capital Investment Decisions 00:12:00 Capital Investment Analysis 00:14:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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Each segment of Level 7 Advanced Diploma in Strategic People Management 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 7 Advanced Diploma in Strategic People Management 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 7 Advanced Diploma in Strategic People Management exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 420 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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HR Manager Team Leader People Operations Specialist Leadership Coach Consultant Certificates Award in Organisation & People Management at QLS Level 2 Hard copy certificate - Included CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate - £29

24-Hour Flash Sale! Prices Reduced Like Never Before!! Stakeholder Management Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Stakeholders have the power to be either a threat or a benefit to an organisation. It's about maintaining relationships between an organisation and its stakeholders. Effective stakeholder management is critical to project success. According to the Project Management Institute (PMI), amongst those organisations considered to be highly effective communicators, 80% of projects meet original goals, 71% deliver projects on time and 76% are within budget. So take a step towards becoming a reliable communicator in the field of finance with this ultimate Stakeholder Management Bundle! Transform yourself into a master of influence and strategy for Stakeholder Management. This is a specially designed course covering everything from Strategic Management to advanced Financial Modelling and Cross-cultural Communication. This comprehensive suite of courses provides the skills to effectively manage and influence diverse groups and drive successful outcomes. Whether it's navigating Corporate Strategies, mastering Agile Methodologies, or crafting Impactful Marketing Plans, you'll gain the expertise to thrive in high-stakes environments. Courses Are Included in this Stakeholder Management Bundle: Course 01: Stakeholder Management: Tools and Strategies Course 02: Strategic Management and Leadership Development Course 03: Governance and Risk Management: Navigating Corporate Strategies Course 04: Strategic Planning and Analysis for Marketing Course 05: Corporate Relationship Goals for Success Course 06: Corporate Social Responsibility Diploma Course 07: Public Speaking: Presentations like a Boss Course 08: Diploma in Workplace Professionalism Course 09: Negotiation Skills Course 10: Raise Money and Valuation for Business Course 11: Credit Control Course 12: Learn to Read, Analyse and Understand Annual Reports Course 13: Financial Analysis for Finance Reports Course 14: Financial Modelling Using Excel Course 15: Microsoft Excel Complete Course Course 16: Craft Excel Pivot Tables for Data Reporting Course 17: Internal Audit Analyst Training Course 18: Internal Compliance Auditor Course 19: Budget & Forecast Course 20: Purchase & Procurement Course 21: Merchandising Course 22: Sales Manager Management Course 23: Marketing Course 24: Ecommerce Marketing Course 25: Agile Scrum Master Certification Course 26: Six Sigma Green Belt Diploma Course 27: Lean Leadership, Culture and Management - Online Diploma Course 28: Cross-Cultural Awareness Training Diploma Certificate Course 29: Human Resources Management Course 30: Project Management Course 31: Talent Management & Employee Retention Techniques Course 32: Motivational Mentorship: Inspiring Personal and Professional Growth Course 33: Employee Training Responsibilities: Effective Training Management Course 34: Employee Hiring and Termination Training Course 35: UK Employment Law Course 36: Performance Management Course 37: Team Management Course 38: Change Management Course 39: Middle Manager Management Course 40: Workplace Communication Management Step beyond the conventional and become the strategic mastermind your organisation needs. This bundle isn't just about learning-it's about leading change and crafting a career that stands out. Embrace the journey to becoming a pivotal force in your workplace by enroling in the Stakeholder Management bundle today. Your future as a leader awaits! Learning Outcomes of this Bundle: Master stakeholder identification, engagement, and communication strategies Managing stakeholders effectively in running a project or a business Learning different theories of stakeholder management Building and developing a solid, lasting relationship with the stakeholders Understanding the potential conflicts with stakeholders This Diploma in Stakeholder Management at QLS Level 4 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! Why Prefer Us? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another certificate accredited by CPD QS. Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Course Curriculum Course 01: Stakeholder Management: Tools and Strategies Module 01: Introducing Module 02: Stakeholder Theories Module 03: Stakeholder Mapping Module 04: Building Strong Business Relationships With Stakeholders Module 05: Stakeholder Engagement Module 06: Stakeholder Engagement Through Effective Communication Module 07: Monitoring and Evaluating the Engagement Module 08: Managing Stakeholder Conflict Course 02: Strategic Management and Leadership Development Module 01: Introduction To Strategic Management Business Module 02: Strategy Formulation Module 03: Strategy Implementation Module 04: Evaluation And Control Module 05: Understanding Management And Leadership Module 06: Leadership Theories Module 07: Improving Management And Leadership Performance Course 03: Governance and Risk Management: Navigating Corporate Strategies Module 01: Introduction To Corporate Governance Module 02: Governance Structures And Mechanisms Module 03: Transparency, Disclosure, And Ethics Module 04: Corporate Governance In ESG Module 05: Introduction To Risk Management Module 06: Risk And Types Of Risk Module 07: Risk Management Process Module 08: Compliance And Ethics Module 09: Compliance Audit =========>>>>> And 37 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*40 = £520) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £99) CPD 510 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring business leaders Project managers Financial analysts HR professionals Marketing executives Compliance officers Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Strategic Project Manager: £55,000 - £85,000 Financial Analyst: £35,000 - £60,000 HR Manager: £40,000 - £65,000 Marketing Director: £60,000 - £100,000 Compliance Manager: £50,000 - £75,000 Business Consultant: £50,000 - £90,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Stakeholder Management at QLS Level 4 Hard copy certificate - Included Please note that International students have to pay an additional £10 as a shipment fee.

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Requirements To participate in this Professional Digital Marketing Diploma course, all you need is - A smart device A secure internet connection And a keen interest in Professional Digital Marketing Diploma Career path You will be able to kickstart your Professional Digital Marketing Diploma career because this course includes various courses as a bonus. This Professional Digital Marketing Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Professional Digital Marketing Diploma career opportunities. Certificates CPD Accredited Certificate Digital certificate - Included CPD Accredited e-Certificate - Free CPD Accredited Hardcopy Certificate - Free Enrolment Letter - Free Student ID Card - Free

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