260 FITT courses delivered Online

Child care and Nutrition: Child care and Nutrition Course Nourish Young Minds and Bodies - Enrol in Our Child care and Nutrition : Child care and Nutrition Online Course Today! Do you want to play a vital role in fostering their growth and development through proper nutrition? Look no further! Introducing our comprehensive Child care and Nutrition course. The Child care and Nutrition : Child care and Nutrition course will equip you with the knowledge and skills to provide optimal care and nutrition for the little ones. Our Child care and Nutrition : Child care and Nutrition course is designed and curated by early childhood education specialists and nutritionists. Learn from professionals with extensive experience in child care and nutrition. Through this Child care and Nutrition course gain a holistic understanding of childcare, encompassing nutrition, health, safety, and early childhood development. Through interactive modules of this Child care and Nutrition : Child care and Nutrition course you can apply immediately in your childcare setting. Our user-friendly platform allows you to learn about Child care and Nutrition from anywhere, fitting seamlessly into your busy schedule. Upon completion of this Child care and Nutrition : Child care and Nutrition course you will receive a recognized certification, enhancing your credentials and opening doors to exciting career opportunities in child care and nutrition. Don't miss this incredible chance. Invest in the Future of Our Children Today! Enrol in our Child care and Nutrition : Child care and Nutrition course and empower yourself with the knowledge to create a positive impact on the lives of children during their formative years. Special Offers of this Child care and Nutrition: Child care and Nutrition Course Course This Child care and Nutrition: Child care and Nutrition Course includes a FREE PDF Certificate. Lifetime access to this Child care and Nutrition: Child care and Nutrition Course Instant access to this Child care and Nutrition: Child care and Nutrition Course Get FREE Tutor Support to this Child care and Nutrition: Child care and Nutrition Course Child care and Nutrition: Child care and Nutrition Course The Child Care and Nutrition: Child Care and Nutrition Course is expertly designed by early childhood specialists and nutritionists. Learn from professionals with vast experience in Child Care and Nutrition, gaining a holistic understanding of health, safety, and early childhood development. This Child Care and Nutrition: Child Care and Nutrition Course features interactive modules that you can apply immediately in your childcare setting. With our user-friendly platform, the Child Care and Nutrition: Child Care and Nutrition Course fits seamlessly into your schedule, allowing you to learn from anywhere and enhance your skills in Child Care and Nutrition effortlessly. Who is this course for? Child care and Nutrition: Child care and Nutrition Course This Child care and Nutrition : Child care and Nutrition course is suitable for students, recent grads, and job seekers. The Child care and Nutrition course is also appropriate for anybody interested in this area, as well as those who are already working in Child care and Nutrition and want to improve their knowledge and skills of the subject. Requirements Child care and Nutrition: Child care and Nutrition Course To enrol in this Child care and Nutrition Course, students must fulfil the following requirements. To join in our Child care and Nutrition Course, you must have a strong command of the English language. To successfully complete our Child care and Nutrition: Child care and Nutrition Course, you must be vivacious and self driven. To complete our Child care and Nutrition: Child care and Nutrition Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Child care and Nutrition: Child care and Nutrition Course. Career path Child care and Nutrition: Child care and Nutrition Course Successful completion of this Child care and Nutrition course will open up various career opportunities for you. Such as: Childcare Provider Childcare Center Director Early Childhood Educator Child care and Nutrition Specialist Nutrition Program Coordinator Child Nutrition Educator Childcare Health and Safety Officer

The Plumbing Skills Training Course is organised into 2 modules and includes everything you need to become successful in this profession. To make this course more accessible for you, we have designed it for both part-time and full-time students. You can study at your own pace or become an expert in just 9 hours! If you require support, our experienced tutors are always available to help you throughout the comprehensive syllabus of this course and answer all your queries through email. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification 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. Who is this course for? Plumbing Skills Training Course is suitable for anyone who want to gain extensive knowledge, potential experience and professional skills in the related field. This is a great opportunity for all student from any academic backgrounds to learn more on this subject.

Duration 5 Days 30 CPD hours This course is intended for Test Programme Managers, Test Managers, and anyone else wishing to take the ISTQB© Certified Tester Advanced Level Test Manager examination. Overview Whilst this course is focused on the syllabus, giving participants the maximum chance of passing the examination, it also contains many real world practical examples. On completion of this course, attendees will have an advanced understanding of test design techniques and will be fully prepared to take the ISTQB© Certified Tester Advanced Level Test Manager examination. ISTQB© is the standard for international qualifications in software testing at an advanced level. The course thoroughly prepares attendees for the ISTQB© Certified Tester Advanced Level Test Manager examination. Testing Process The fundamental test process Test levels and test types Test planning, monitoring and control Test analysis Test design Test implementation Test execution Evaluating exit criteria and reporting Test closure activities Test Management Test management in context Risk-based testing and other approaches for test prioritization and effort allocation Test documentation and other work products Project risk management Other test work products Test estimation Defining and using test metrics Business value of testing Distributed, outsourced, and insourced testing Managing the application of industry standards Reviews Management reviews and audits Managing reviews Metrics for reviews Managing formal reviews Defect Management The defect lifecycle and the software development lifecycle Cross-functional defect management Defect report information Assessing process capability with defect report information Improving the Testing Process Introduction Test improvement process Improving the testing process Improving the testing process with TMMI Improving the testing process with TPI Next Improving the testing process with CTP Improving the testing process with STEP Test Tools and Automation Tool selection Return on investment (ROI) Selection process Tool lifecycle Tool metrics People Skills ? Team Composition Individual skills Test team dynamics Fitting testing within an organization Motivation Communication

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

ChatGPT, along with other AI tools, aims not to replace the human touch in management, but to enhance it. By addressing repetitive, daily tasks, these tools free up managers to concentrate on core responsibilities like strategic decision-making, team development, and innovation. As we move further into the digital age, integrating tools such as ChatGPT isn't a luxury; it's the future of proactive leadership. In this guide, we'll delve into 10 practical ways through which AI can elevate your efficiency and refine the quality of your work. Gain familiarity with prominent AI tools in the market Efficiently compose and respond to emails Generate concise summaries of complex reports and data. Obtain quick insights, data, and research across varied topics Streamline the writing of articles, training notes, and posts Craft interview tests, form relevant questions, and design checklists for the hiring process 1 Streamlining emails An inbox can be a goldmine of information but also a significant time drain for managers. Here's how to optimise it: Drafting responses: Give the AI a brief, and watch it craft a well-structured response. Sorting and prioritising: By employing user-defined rules and keywords, ChatGPT can flag important emails, ensuring no vital communication slips through the cracks. 2 Efficient report writing Reports, especially routine ones, can be time-intensive. Here's a smarter approach: Automate content: Supply key data points to the AI, and let it weave them into an insightful report. Proofreading: Lean on ChatGPT for grammar checks and consistency, ensuring each report remains crisp and error-free. 3 Rapid research From competitor insights to market trends, research is a pivotal part of management. Data synthesis: Feed raw data to the AI and receive succinct summaries in return. Question-answering: Pose specific questions about a dataset to ChatGPT and extract swift insights without diving deep into the entire content. 4 Reinventing recruitment Hiring can be a lengthy process. Here's how to make it more efficient: Resume screening: Equip the AI to spot keywords and qualifications, ensuring that only the most fitting candidates are shortlisted. Preliminary interviews: Leverage ChatGPT for the initial rounds of interviews by framing critical questions and evaluating the responses. 5 Enhancing training Especially for extensive teams, training can be a monumental task. Here's how ChatGPT can assist: Customised content: Inform the AI of your training goals, and it will draft tailored content suitable for various roles. PowerPoint design: Create visually appealing slide presentations on any topic in minimal time.

Getting Started The MSc Project Management programme is designed to show people from any discipline or degree how to manage projects. This program aims to identify, develop and perform essential skills and techniques needed for expertise in Project Management. The programme focuses on enhancing graduate and practicing engineers' knowledge and skills in relevant management skills, principles, and procedures. This course equips students with the skills and knowledge necessary to contribute to project management research significantly. The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Business Strategy, awarded by Qualifi and delivered by the School of Business and Technology London. The second phase is the MSc Project Management Top-Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Anglia Ruskin University began in 1858 as the Cambridge School of Art founded by William Beaumont. It was then merged with the Cambridge shire College of Arts and Technology and the Essex Institute of Higher Education and was renamed Anglia Polytechnic. It was then given university status in 1992 and renamed Anglia Ruskin University in 2005. The university has campuses in the UK (Cambridge, Chelmsford, London and Peterborough), as well as they are partnered with institutions around the world including Berlin, Budapest, Trinidad, Singapore and Kuala Lumpur. Assessment Assignments and Project No examinations Entry Requirements A bachelor's degree Applicant without a bachelor's degree but holding significant managerial experience will be considered for entry on a case-by-case basis. Further, candidates are also required to demonstrate their English language proficiency. 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. Structure Phase 1 - Qualifi Level 7 Diploma in Business Strategy Programme Structure Mandatory Units Unit 703: Strategic Marketing Unit code: M/506/9074 TQT :150 Credit :15 This unit will explore the fundamental models, techniques, and theories that form the marketing foundation and can contribute to achieving strategic objectives. Additionally, it will impart learners with a critical comprehension of the marketing function within intricate organizations. Unit 704: Finance for Managers Unit code: D/506/9071 TQT :150 Credit :15 The focus of this unit is to assist learners in comprehending and effectively utilizing financial information and data. This unit holds significance for learners as it underpins informed decision-making. Unit 705: Strategic Direction Unit code: D/506/9068 TQT :150 Credit :15 This unit will delve into an organization's strategic aims and objectives, emphasizing their importance in establishing direction and gauging success and progress. Furthermore, the unit will examine how various strategic options may prompt the organization to alter its course. Unit 706: Strategic Planning Unit code: Y/506/9070 TQT :150 Credit :15 This unit focuses on the importance of the strategic planning process in crafting suitable strategies and creating a plan that garners support from stakeholders and other organizational leaders. Additionally, the unit addresses the critical evaluation of the program and its subsequent success. Unit 707: Creative and Innovative Management Unit code: H/618/0795 TQT :150 Credit :15 This unit equips the learner with the knowledge to acknowledge the significance of creative and innovative management concepts for organizations, as well as the skills to put this understanding into practice effectively. Unit 708: Managing Corporate Responsibility in the Wider Business Environment Unit code: K/618/0796 TQT :100 Credit :10 This unit offers the learner insight into how legislation and global integration impact the decisions, policies, processes, and activities carried out by organizations. Specialism Units GENERAL MANAGEMENT SPECIALISM Unit 701: Research Method Unit code: Y/506/9133 TQT :200 Credit :20 The objective of this unit is to enhance the learner's knowledge and comprehension of academic practices and research methodologies. It employs a problem-based learning approach to cultivate practical proficiency in areas relevant to educational practice and research within business and management. Unit 702: Development as a Strategic Manager Unit code: J/506/9064 TQT :150 Credit :15 This unit seeks to foster organizational and self-awareness in learners. It establishes the groundwork for a self-critical and reflective approach to personal development, which is crucial for learners operating at a strategic level. Additionally, it considers broader organizational and environmental factors, recognizing their role as contributors to the overall strategic success of both the individual and the organization.   HUMAN RESOURCES MANAGEMENT SPECIALISM Unit 709: Contemporary Human Resource Management Unit code: Y/615/3304 TQT :100 Credit :10 The objective of this unit is to empower learners with the capacity to comprehend and assess the influence of internal and external environmental factors on organizational strategy and people management. Additionally, it aims to enable the learner to analyze various organizational contexts and devise strategies to address these ecological forces while recognizing the role of HR professionals in contributing to this process. Unit 710: Resourcing, Talent Management and Development Unit code: K/615/3307 TQT :150 Credit :15 This unit aims to cultivate proficiency in comprehending and analyzing employment markets and demographic trends to devise and execute effective, ethical, and fitting strategies for resourcing, retention, talent management, and development. Additionally, it will explore the potential and constraints of learning and talent development policies and procedures in shaping and attaining objectives at the national, organizational, group, and individual levels. Learners will evaluate the pivotal role of HRM professionals in formulating, implementing, and assessing strategic planning pertinent to employee resourcing, talent management, and development. Unit 711: Performance Management Unit code: M/615/3308 TQT :100 Credit :10 The objective of this unit is to empower learners with the knowledge to grasp the key factors that impact employee performance across all levels within an organisation and how these factors can be effectively managed. Additionally, it aims to equip learners with the understanding to create and execute suitable HR practices and strategies aligned with Performance Management.   FINANCE SPECIALISM Unit 712: Business Finance Unit code: R/618/8634 TQT :100 Credit :10 This unit seeks to enhance students' knowledge and comprehension of management accounting techniques tailored for small businesses. It also introduces students to applying management accounting information in effectively managing small companies through planning, organizing, executing, and controlling activities. Unit 713: International Financial Management Unit code: Y/618/8635 TQT :150 Credit :15 This module fosters students' comprehension and expertise in investments beyond national boundaries. It delves into matters that transcend domestic economies, encompassing the handling of foreign currencies and addressing international economic and cultural disparities. As a result, this module provides students with the skills needed to navigate the intricate realm of international finance. Unit 709: Contemporary Human Resource Management Unit code: Y/615/3304 TQT :100 Credit :10 The objective of this unit is to empower learners with the capacity to comprehend and assess the influence of internal and external environmental factors on organizational strategy and people management. Additionally, it aims to enable the learner to analyze various organizational contexts and devise strategies to address these ecological forces while recognizing the role of HR professionals in contributing to this process.   MARKETING SPECIALISM Unit 714: Customer Growth Marketing Unit code: D/618/8636 TQT :100 Credit :10 The primary objective of this module is to conduct a critical examination of the tools and methods employed to achieve successful customer growth across various contexts. Through this, students will cultivate an essential grasp of the factors that shape consumer behaviour and assess relevant literature and theories elucidating consumer motivation and customer relationships. Additionally, students will be able to scrutinize an organization's marketing strategy and showcase the implementation of crucial concepts, elements, and tools within the business environment. Unit 715: Advanced Strategic Marketing Unit code: H/618/8637 TQT :150 Credit :15 The Marketing Strategy module builds upon the pre-existing knowledge that students and practitioners have regarding marketing principles. It aims to empower candidates to suggest strategic approaches to emerging market trends. It encourages them to contemplate the repercussions of marketing and its interplay with other facets of the organization. Unit 709: Contemporary Human Resource Management Unit code: Y/615/3304 TQT :100 Credit :10 The objective of this unit is to empower learners with the capacity to comprehend and assess the influence of internal and external environmental factors on organizational strategy and people management. Additionally, it aims to enable the learner to analyze various organizational contexts and devise strategies to address these ecological forces while recognizing the role of HR professionals in contributing to this process.   PROJECT MANAGEMENT SPECIALISM Unit 716: Planning, Controlling and Leading a Project Unit code: K/618/8638 TQT :150 Credit :15 This unit is designed to acquaint learners with the practical aspects of initiating and overseeing a project. Additionally, it will familiarize them with the unique challenges of project management in the global business landscape. The unit encourages critical thinking about project management, viewing it as a complex, process-driven cultural system that is continually evolving through the collaborative efforts of high-performing teams. With an increasing number of firms engaging in project development and management activities, acquiring a sound understanding of efficient project management becomes crucial. Learners will delve into the roles and responsibilities of project team members and examine various levels of management skills, placing special emphasis on success factors, monitoring, and control. Unit 717: Procurement Risk and Contract Management Unit code: M/618/8639 TQT :100 Credit :10 The objective of this unit is to empower students with a comprehensive understanding of the fundamental principles of procurement. It emphasizes the significance of recognizing and mitigating risks associated with procurement and contract management. Additionally, learners will cultivate a critical appreciation for the various legislative frameworks that play a crucial role in procurement and explore frameworks for assessing risks within the procurement context. Unit 718: Advanced Project and Logistics Management Unit code: H/618/8640 TQT :100 Credit :10 The goal of this unit is to enable the learner to grasp the concepts of portfolio management and its related characteristics. It will also delve into the significance of having a Project Management Office, exploring the stages of establishing an effective PMO. Additionally, learners will assess the supply chain ecosystem and evaluate IT frameworks suitable for managing the complexities of logistics and the supply chain.   Phase 2 - MSc Project Management Top-Up Programme Structure Project Management Systems Project Management Techniques Dissertation (Major Project)   Delivery Methods The programme comprises two phases; the first is the Qualifi Level 7 Diploma in Business Strategy, awarded by Qualifi and delivered by the School of Business and Technology London. The School of Business and Technology London offers flexible learning methods, including online and blended learning, allowing students to choose the mode of study that suits their preferences and schedules. The program is self-paced and facilitated through an advanced Learning Management System. Students can easily interact with tutors through the SBTL Support Desk Portal System for course material discussions, guidance, assistance, and assessment feedback on assignments. School of Business and Technology London provides exceptional support and infrastructure for online and blended learning. Students benefit from dedicated tutors who guide and support them throughout their learning journey, ensuring a high level of assistance. The second phase is the MSc Project Management Top-Up, awarded and delivered 100% online by Anglia Ruskin University. At Anglia Ruskin University, you will study through Canvas, a world-class online Learning Management System (LMS), accessed from your phone, pc or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. After successfully completing your studies, you'll be invited to attend a graduation ceremony on campus at Anglia Ruskin University. If attending the ceremony in person is not possible, we'll arrange to send your certificate to you. School of Business and Technology London partners with Chestnut Education Group to promote this programme. 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.

Understanding a buildings heat loss for heating engineers

Part 1: ‘Lunch and Learn’ with Max & Fi ✨ ( About 15-20 min) Max and Fi will share various psychological models, resources and ideas to help you feel positive, purposeful and inspired in your EP career. We draw upon positive psychology, with the aim of helping you feel motivated, engaged and purposeful in your EP Career. Part 2: Time to connect 🧠🧠 ( About 40-45 min) Come and find your 'tribe' and connect with like-minded EPs. W e will organise breakout rooms for small group chats, reflections and connection-building within the EP community. You might want to share some ideas with others, find out what others are up to, make connections and explore possible collaborations. Maybe you're feeling isolated (easy in this role!) and just fancy some EP company and connection. We will offer some prompts for your chats and do our best to reduce any awkwardness and make it fun and friendly! Come with an open mind. Be brave. Be curious. See where the session takes you... Bring your own lunch and a cup of PositiviTEA. If your cup is feeling a bit empty, we hope we can fill it during the session* * This is a metaphor. No actual tea is included ;) P.s. Sorry this session is not suitable for aspiring EPs . Please do look out for more appropriate events via Twitter.

If you have already undertaken some training in Motivational Interviewing (at least half a day)*, you are welcome to join our MI Skills Club (MISC), which is a free community group for Educational Psychologists wishing to practise their MI skills within a small and friendly group. Because MI is a conversational style, rather than a discrete skill, it is not something that can be mastered by attending a one-off training session. While MI is a learnable approach, it takes practice, reflection and supervision to improve. Learning MI on your own is hard, and receiving objective feedback and expert feedback are helpful in developing and maintaining competence in MI (Miller & Rollnick, 2023). Cathy Atkinson and Fi Coley, who are both members of the Motivational Interviewing Network of Trainers (MINT), are collaborating to build an MI Learning Community for EPs. MINT (2019) defines a learning community as a network of practitioners interested in the same topic, and the community can serve as both a resource and a forum for developing practice. In each 90-minute online session we will focus on one small aspect of MI (micro-skills practice) and use breakout rooms with small groups to practice skills and give /receive supportive feedback. This event is open to Educational Psychologists, Trainee Educational Psychologists, and Assistant Psychologists. We are unable to accommodate aspiring EPs at this event. *If you are just starting out on your MI journey, or you would like to refresh your skills, you can join our one-day Introduction and Refresher training on Friday 27th September 2024 - Motivational Interviewing for Ed Psychs: Introduction and Refresher Tickets, Fri 27 Sep 2024 at 09:00 | Eventbrite