17175 Manager courses

Description: Time management is the ability to know how to plan your time and how to utilise it well. Knowing about time management is very important to everyone, especially to professionals. This course in time management is specifically designed for sales entrepreneurs who want to know how to manage their time well. Learning about time management is essential to avoid wasting time for unnecessary things. You can learn and improve your time management skills through this course and become the best time manager and sales entrepreneur at the same time. Who is the course for? Entrepreneurs who are interested in learning about time management. People who have an interest in knowing how time management works. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at the cost of £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/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: This Course would be beneficial for the following careers: Businessmen Entrepreneur Executive Director Management Consultant Sales Entrepreneur Top Executive. Time Management 1: Module One - Getting Started 00:30:00 Module Two - Setting SMART Goals 01:00:00 Module Three - Prioritizing Your Time 01:00:00 Module Four - Planning Wisely 01:00:00 Module Five - Tackling Procrastination 01:00:00 Module Six - Crisis Management 01:00:00 Module Seven - Organizing Your Workspace 01:00:00 Module Eight - Delegating Made Easy 01:00:00 Module Nine - Setting a Ritual 01:00:00 Module Ten - Meeting Management 01:00:00 Module Eleven - Alternatives to Meetings 00:30:00 Module Twelve - Wrapping Up 01:00:00 Level 3 Diploma in Time Management- Activities 00:00:00 Time Management 2: Introduction 00:15:00 What Is Time Management? 01:00:00 Why Do I Need to Manage My Time Effectively Anyway? 00:30:00 What Happens When We Don't Manage Our Time Effectively? 00:30:00 How Do I Get Started With Good Time Management? 01:00:00 Refining the Process of Time Management 01:00:00 Can Time Management Become An Obsession? 00:30:00 So How Do I Stop Obsessing And Get Back On Track? 01:00:00 Keeping It Real - Setting Realistic Goals With Your Time Management 01:00:00 Conclusion 00:15:00 Mock Exam Mock Exam- Accredited Time Management Skills Training 00:30:00 Final Exam Final Exam- Accredited Time Management Skills Training 00:30:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description: New to SEO? Or in need to enhance your knowledge about in SEO (search engine optimisation)? SEO is a marketing control which concentrates on growing the visibility on non-paid search engine result. If you want to know in depth about SEO or you want to implement an effective digital marketing strategy for your organisation then this is the perfect course for you. Enrol in our diploma in SEO from the comfort of your house. This course will provide you with the details on how the search engine actually works, how it can be made effective for the betterment of your business. Find out and learn comprehensive in and out about SEO in this course and put yourself ahead in your business.  Who is the course for? Website owners Business owners Bloggers Anyone who wants to enhance their skills in this vital online skill Start-ups that want to understand the basics of SEO Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Diploma in SEO is a useful qualification to possess, and would be beneficial for the following careers: Search Engine Marketer Business Marketing Consultant Digital Marketer Analyst Content Marketing SEO Manager Entrepreneur Diploma in SEO What Is Search Engine Optimization? 01:00:00 Search Engines That Use SEO 01:00:00 Using SEO In Website Text 01:00:00 Using SEO For Google Ads 01:00:00 Using SEO For Article Marketing 01:00:00 Using SEO In Press Releases 00:30:00 Using Longtail Keywords 00:30:00 Using Google To Discover The Best Keywords 00:30:00 SEO For Video Ads 00:30:00 SEO In Photos 00:30:00 Blogging With SEO Marketing 01:00:00 Using A SEO Company 01:00:00 SEO Techniques Introduction to SEO 00:30:00 Improve Engagement to Improve Rankings 01:00:00 Make Your Existing Pages Longer 00:30:00 Focus on YouTube SEO 00:30:00 Improve Site Speed 00:30:00 Focus on Topics Instead of Keywords 00:30:00 Build Backlinks 00:15:00 Reporting and Analytics 00:30:00 Technical Optimization 00:30:00 Local SEO and Listings 00:30:00 Guest posting 00:30:00 Effective Seo Tools 01:00:00 Mock Exam Mock Exam- Diploma in SEO 00:20:00 Final Exam Final Exam- Diploma in SEO 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description:  Whether you use excel for work or study, this online course covers beginner, intermediate and advanced lessons in excel. Learn the main topics related to Microsoft excel 2007. Identify the basic excel techniques, explore the advanced functions of excel 2007 and create automated reports with the press of a button in this course. By completing this course, you will become an excel expert and use excel 2007 as a professional. Who is the course for? This course is perfect for individuals who are looking forward to developing their skills of using Microsoft Excel application. This course is for office professionals who want to nail all the meetings and projects at the workplace. This course will be ideal for professionals in business, finance and many other areas that need to analyse data in accounts. Entry Requirement: This course is available to all learners, of all academic backgrounds. However, an education and experience in accounting is an advantage. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a 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/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognised accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The diploma in Microsoft Excel 2007 will be very beneficial and helpful, especially to the following professionals: Admin Assistant. PA. Secretary. Administrator. Account Assistant. Bookkeeper. Accountant. Office Manager. Microsoft Excel 2007 for Beginners Module One - Getting Started 01:00:00 Module Two - Opening and Closing Excel 01:00:00 Module Three - Your First Worksheet 01:00:00 Module Four - Working with Excel Files 01:00:00 Module Five - Viewing Excel Data 01:00:00 Module Six - Printing Excel Data 01:00:00 Module Seven - Building Formulas 01:00:00 Module Eight - Using Excel Functions 01:00:00 Module Nine - Using Time Saving Tools 01:00:00 Module Ten - Formatting your Data 01:00:00 Module Eleven - More Formatting 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft Excel 2007 for Beginners 00:00:00 Microsoft Excel 2007 Advanced Level Module One - Getting Started 00:30:00 Module Two - SmartArt 01:00:00 Module Three - Inserting Objects 01:00:00 Module Four - Creating Charts 01:00:00 Module Five - Creating Pivot Tables 01:00:00 Module Six - Working with Pivot Tables 01:00:00 Module Seven - Creating Pivot Charts 01:00:00 Module Eight - Solving Formula Errors 01:00:00 Module Nine - Using What-If Analysis 01:00:00 Module Ten - Managing Your Data 01:00:00 Module Eleven - Grouping and Outlining Data 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft Excel 2007 Advanced Level 00:00:00 Mock Exam Final Exam Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

This course is suitable for investigators who are investigating a wide range of disciplinary issues plus allegations of bullying harassment and discrimination which, if upheld, may result in a formal warning or dismissal. Delegates who successfully complete this course are able to refer themselves as a TCM Accredited Investigator.

Innovation Project Management: Virtual In-House Training Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. Innovation is needed and someone must manage these innovation projects. Over the past two decades, there has been a great deal of literature published on innovation and innovation management. Converting a creative idea into reality requires projects and some form of project management. Unfortunately, innovation projects, which are viewed as strategic projects, may not be able to be managed using the traditional project management philosophy we teach in our project management courses. There are different skill sets needed, different tools, and different life-cycle phases. Innovation varies from industry to industry and even companies within the same industry cannot come to an agreement on how innovation project management should work. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. What you Will Learn Explain the links needed to bridge innovation, project management, and business strategy Describe the different types of innovation and the form of project management each require Identify the differences between traditional and innovation project management, especially regarding governance, human resources management challenges, components of an innovative culture and competencies needed by innovation project managers Establish business value and the importance of new metrics for measuring and reporting business value Relate innovation to business models and the skills needed to contribute in the business model development Recognize the roadblocks affecting innovation project management and their cause to determine what actions can be taken Determine the success and failure criteria of an innovation project Foundation Concepts Understanding innovation Role of innovation in a company Differences between traditional (operational) and strategic projects Innovation management Differences between innovation and R&D Differing views of innovation Why innovation often struggles Linking Innovation Project Management to Business Strategy The business side of innovation project management The need for innovation targeting Getting close to the customers and their needs The need for line-of-sight to the strategic objectives The innovation enterprise environmental factors Tools for linking Internal Versus External (Co-creation) Innovation Open versus closed innovation Open innovation versus crowdsourcing Benefits of internal innovation Benefits of co-creation (external) innovation Selecting co-creation partners The focus of co-creation The issues with intellectual property Understanding co-creation values Understanding the importance of value-in-use Classification of Innovations and Innovation Projects Types of projects Types of innovations Competency-enhancing versus competency-destroying innovations Types of innovation novelty Public Sector of Innovation Comparing public and private sector project management Types of public service innovations Reasons for some public sector innovation failures An Introduction to Innovation Project Management Why traditional project management may not work The need for a knowledge management system Differences between traditional and innovation project management Issues with the 'one-size-fits-all' methodology Using end-to-end innovation project management Technology readiness levels (TRLs) Integrating Kanban principles into innovation project management Innovation and the Human Resources Management Challenge Obtaining resources Need for a talent pipeline Need for effective resource management practices Prioritizing resource utilization Using organizational slack Corporate Innovation Governance Types of innovation governance Business Impact Analysis (BIA) Innovation Project Portfolio Management Office (IPPMO) Using nondisclosure agreements, secrecy agreements, confidentiality agreements, and patents Adverse effects of governance decisions Innovation Cultures Characteristics of a culture for innovation Types of cultures Selecting the right people Linking innovation to rewards Impact of the organizational reward system Innovation Competencies Types of innovation leadership The need for active listening Design thinking Dealing with ambiguity, uncertainty, risks, crises, and human factors Value-Based Innovation Project Management Metrics Importance of innovation project management metrics Understanding value-driven project management Differences between benefits and value - and when to measure Traditional versus the investment life cycle Benefits harvesting Benefits and value sustainment Resistance to change Tangible and intangible innovation project management metrics Business Model Innovation Business model characteristics Impact of disruptive innovation Innovation Roadblocks Roadblocks and challenges facing project managers Ways to overcome the roadblocks Defining Innovation Success and Failure Categories for innovation success and failure Need for suitability and exit criteria Reasons for innovation project failure Predictions on the Future of Innovation Project Management The Six Pillars of changing times Some uses for the new value and benefits metrics

Hospitality Management: Hospitality Management Course Online This Hospitality Management: Hospitality Management Course aims to provide practical guidance and specialist knowledge on topics such as housekeeping, catering, front office operations, quality of service, and staff training requirements. This Hospitality Management: Hospitality Management Course is an in-depth training program for new managers and aspiring professionals in the hospitality and tourism industries. This Hospitality Management: Hospitality Management Course will give you a solid understanding of the hospitality industry and its key areas, with a focus on different types of hotels and hospitality roles. This Hospitality Management: Hospitality Management Course will teach you how to manage all hotel operations as well as develop an effective service management program that incorporates safety, security, quality, and cutting-edge technology. By the end of this Hospitality Management: Hospitality Management Course, you will gain all of the necessary skills and knowledge to become a successful Hotel Manager and advance your career in the Hospitality sector. Main Course: Hospitality Management Course Free courses included with Hospitality Management: Hospitality Management Course: Along with Hospitality Management Course you will get free Level 2 Certificate in Travel and Tourism Along with Hospitality Management Course you will get free Level 4 Time Management Special Offers of this Hospitality Management: Hospitality Management Course: This Hospitality Management: Hospitality Management Course includes a FREE PDF Certificate. Lifetime access to this Hospitality Management: Hospitality Management Course Instant access to this Hospitality Management: Hospitality Management Course 24/7 Support Available to this Hospitality Management: Hospitality Management Course Hospitality Management: Hospitality Management Course Online The Hospitality Management: Hospitality Management Course will provide you with a comprehensive understanding of the hospitality industry, including its various types of hotels and roles. This Hospitality Management: Hospitality Management Course will equip you with the skills to effectively manage all hotel operations and develop a service management program that integrates safety, security, quality, and the latest technology. Who is this course for? Hospitality Management: Hospitality Management Course Online This Hospitality Management: Hospitality Management Course is ideal for anyone who works in or aspires to work in the hospitality industry, which includes the following professions: - Hospitality Manager, Hotel Manager, Housekeeping Manager, Catering Manager. Requirements Hospitality Management: Hospitality Management Course Online To enrol in this Hospitality Management: Hospitality Management Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Hospitality Management: Hospitality Management Course. Be energetic and self-motivated to complete our Hospitality Management: Hospitality Management Course. Basic computer Skill is required to complete our Hospitality Management: Hospitality Management Course. If you want to enrol in our Hospitality Management: Hospitality Management Course, you must be at least 15 years old. Career path Hospitality Management: Hospitality Management Course Online You can use our Hospitality Management: Hospitality Management Course to help you secure your desired job position.

Course Description Understand the strategies and techniques of successfully managing a team with the Team Management: Part 2 course. In this valuable course, you will pick up the key skills for talent management. The course will show you effective ways of stress management and how to take care of mental health. From this Team Management: Part 2 course, you will be able to grasp succession planning techniques. Not just that, the course will also provide you with practical skills for negotiation. Enrol in the course and master the skills of team management. Learning outcome  Learn the fundamental skills for talent management Understand the strategies of stress management Gain in-depth knowledge about succession planning Master the skills of negotiation How Much Do Team Leaders Earn? Senior - £44,000(Appx.) Mid Career - £26,000(Appx.) Starting - £19,000(Appx.) Requirements Our Team Management: Part 2 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Team Management: Part 2 Module 01: Talent Management 00:33:00 Module 02: Stress Management and Mental Health 00:21:00 Module 03: Succession Planning 00:29:00 Module 04: Negotiation Techniques 00:17:00 Assignment Assignment - Team Management: Part 2 00:00:00

Do you love fishing? Want to learn about fly fishing? Are you dreaming of becoming an expert fly fisher? If your answer is yes to the above questions, then enrol now to this course and make your dream come true. Description: What is fly fishing? It is another method of fisheries. Fly fishing is mostly used to catch trout and salmon, but nowadays, many anglers use this method to catch other types of fishes as well. Fly fishing is a challenging way of catching fishes as becoming a professional fisher takes many years of experience. Fly fishing has been there for years now. This course will provide you with the guide for fly fishing and also provide you significant factors of fly fishing. Choosing the right fishing tools is considered to be the primary factor of fly fishing. With the right tool, you can make fly fishing more enjoyable and fun. By the end of this course, students will be able to select the most suitable rods, reels, and the fly lines for fishing and understand the reasons behind choosing one over the other. Students will also learn how to care for their fishing instruments or tools as taking good care of your tools is necessary. Lastly, you will also learn about casting, the importance of casting and tying different types of fishing knots. Who is the course for? Individuals who have an interest in fishing. This course is for beginning to intermediate fly fishers. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment:  At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a 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/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: Mastering in Fly Fishing is a useful qualification to possess, and would be beneficial for the following professionals: Fly casting instructor. Fly fishing coach. Fly fishing guide. Fishing Feild technician. Fly fishing sales associate. Retailing fishing manager. Fly fishing outfitter seasonal. Module-01 An Introduction to Fly Fishing 00:30:00 Choosing a Rod 00:30:00 Choosing a Reel 00:30:00 Choosing a Fly Line 01:00:00 Module-02 How To Care for Your Rod, Reel and Fly Line 01:00:00 Leaders and Tippets 00:30:00 Filling a Reel with Line and Backing 00:30:00 Putting it All Together 00:30:00 Module-03 Casting for Beginners 00:30:00 Learning the Roll Cast 00:30:00 Choosing the Best Waders for You 00:30:00 Read Your Surroundings 00:15:00 Module-04 About Fishing Knots 01:00:00 About Artificial Flies 00:30:00 The Figure 8 Retrieve 00:15:00 Glossary 00:15:00 Mock Exam Mock Exam- Mastering Fly Fishing 00:20:00 Final Exam Final Exam- Mastering Fly Fishing 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description Register on the Secure an Ubuntu Linux Server against Hackers today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Secure an Ubuntu Linux Server against Hackers course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Course Content Secure an Ubuntu Linux Server against Hackers Module 01: Secure an Ubuntu Linux Server from Hackers Today 00:09:00 Module 02: Choosing a server host and setup 00:03:00 Module 03: Accessing the Ubuntu Linux server with putty 00:03:00 Module 04: How to download Putty for Windows 00:01:00 Module 05: Using a password manager like LastPass 00:03:00 Module 06: Changing the password with passwd 00:02:00 Module 07: Adding a new user with adduser 00:03:00 Module 08: Signing in with the added user 00:01:00 Module 09: Usermod to give the user sudo or root privileges 00:01:00 Module 10: Verify sudo access on user 00:01:00 Module 11: Key basic Linux commands cd pwd and ls 00:04:00 Module 12: Updating with apt get update 00:01:00 Module 13: Installing nano text editor 00:01:00 Module 14: Updating sshd config with nano to Permit Root Login no 00:09:00 Module 15: Changing the SSH port from 22 to another number 00:04:00 Module 16: Setting up RSA login by generating keys with puttygen 00:11:00 Module 17: Disabling password logins and ipv6 listening 00:02:00 Module 18: Locked out of server and have to start over! 00:02:00 Module 19: Back in with a fresh install! 00:02:00 Module 20: Installing fail2ban to block IPs from repeated failed logins 00:07:00 Module 21: Install UFW or Uniform Fire Wall to block some DDOS attacks 00:03:00 Module 22: Install and configure ntp to sync time 00:05:00 Module 23: Thank you very much for watching this complete Ubuntu Linux server 00:05:00 Module 24: Steem witness setup downloading blocks 00:03:00 Module 25: Steem witness setup finishing adding a new user 00:01:00 Module 26: Steem witness setup installing steem docker 00:04:00 Assignment Assignment - Secure an Ubuntu Linux Server against Hackers 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.