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You will explore the goal and approach of Global Financial Management, as well as the significance of this field in today's global economy. Through rigorous analysis, you will gain a critical perspective on the principles, techniques, and functions of Financial Management in businesses and organizations. Furthermore, you will delve into the complexities of international financial transactions, including the balance of payments and the dynamics of international funds flow. With this comprehensive knowledge, you will be well equipped to navigate the challenges and opportunities of the global financial landscape. After the successful completion of the course, you will be able to learn about the following, Critically analyse the concept and importance of Global Financial Management. Explain the goal and approach of Global Financial Management. Analyse principles, techniques, and significant functions of Financial Management in businesses and organisations. Understand the balance of payments, its dynamics and international funds flow. You will explore the goal and approach of Global Financial Management, as well as the significance of this field in today's global economy. Through rigorous analysis, you will gain a critical perspective on the principles, techniques, and functions of Financial Management in businesses and organizations. Furthermore, you will delve into the complexities of international financial transactions, including the balance of payments and the dynamics of international funds flow. With this comprehensive knowledge, you will be well equipped to navigate the challenges and opportunities of the global financial landscape. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Global Financial Management Landscape Self-paced pre-recorded learning content on this topic. Global Financial Management Landscape Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Superviso Finance professionals Business students International trade specialists Economists Accounting professionals Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

This Professional Certificate Course in Introduction to Scheduling in Supply Chain Operations covers the fundamentals of operation scheduling, its objectives, functions, and types. It also covers different approaches to scheduling, load work centers, and sequencing methods. The course introduces performance measures and ways to minimize scheduling difficulties. Additionally, the course focuses on the Theory of Constraints, including its principles, metrics, and scheduling multiple resources. Students will learn about time-cost trade-offs and scheduling services. By the end of this course, students will have a comprehensive understanding of scheduling and optimization techniques in the supply chain. This Professional Certificate Course provides a comprehensive understanding of scheduling and optimization techniques in the supply chain operations. The course covers the theory of constraints, load work centers, sequencing methods, and approaches to scheduling. After the successful completion of the course, you will be able to learn about the following, Operation Scheduling, its Objectives, functions, and types. Approaches to scheduling and Load Work Centres, along with concept and method of sequencing, performance measures, and minimizing scheduling difficulties. Theory of Constraints which includes principles, metrics used, Scheduling Services, Scheduling Multiple Resources, and Time-Cost Trade-Offs. This Professional Certificate Course in Introduction to Scheduling in Supply Chain Operations covers the fundamentals of operation scheduling, its objectives, functions, and types. It also covers different approaches to scheduling, load work centers, and sequencing methods. The course introduces performance measures and ways to minimize scheduling difficulties. Additionally, the course focuses on the Theory of Constraints, including its principles, metrics, and scheduling multiple resources. Students will learn about time-cost trade-offs and scheduling services. By the end of this course, students will have a comprehensive understanding of scheduling and optimization techniques in the supply chain. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Introduction to Scheduling In Supply Chain Operations Self-paced pre-recorded learning content on this topic. Introduction to Scheduling In Supply Chain Operations Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience Supply chain professionals Operations managers Logistics professionals Production managers Inventory managers Procurement managers Anyone interested in supply chain scheduling and optimization Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

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The 'JavaScript Foundations for Everyone' course is a comprehensive introduction to JavaScript programming designed for learners of all levels. Covering fundamental concepts and practical examples, this course equips participants with a solid foundation in JavaScript, including variables, data types, functions, scope, asynchronous programming, and error handling. With step-by-step demos and interactive modules, learners will gain the skills needed to confidently write, debug, and implement JavaScript code. Learning Outcomes: Understand the author's background and expertise in JavaScript. Explore the fundamentals of JavaScript and its role in web development. Analyze the strengths and weaknesses of JavaScript as a programming language. Write and execute JavaScript code using the Chrome browser console. Master JavaScript variables, data types, and their practical applications. Gain proficiency in JavaScript functions, scope, and hoisting. Implement asynchronous programming using timeouts, callbacks, and promises. Develop flow control and error handling mechanisms for robust code. Why buy this JavaScript Foundations for Everyone? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the JavaScript Foundations for Everyone there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This JavaScript Foundations for Everyone does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Beginners with no prior programming experience looking to learn JavaScript. Web developers seeking to enhance their JavaScript skills and understanding. Students and learners interested in web development and programming. Professionals aiming to add JavaScript proficiency to their skill set. Prerequisites This JavaScript Foundations for Everyone was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Front-End Web Developer - Median earning of £25,000 - £45,000 per year. JavaScript Developer - Potential earning of £30,000 - £60,000 per year. Full-Stack Web Developer - Median earning of £35,000 - £65,000 per year. Software Engineer - Potential earning of £40,000 - £80,000+ per year. Web Development Instructor - Median earning of £25,000 - £45,000 per year. Course Curriculum JavaScript Foundations for Everyone Module 01: About the Author 00:04:00 Module 02: Introduction to JavaScript 00:11:00 Module 03: Strengths and Weaknesses of JavaScript 00:15:00 Module 04: Writing JavaScript in Chrome 00:06:00 Module 05: JavaScript Variables 00:07:00 Module 06: Demo of JavaScript Variables 00:10:00 Module 07: Basic Types of JavaScript 00:07:00 Module 08: JavaScript Boolean 00:08:00 Module 09: JavaScript Strings 00:18:00 Module 10: JavaScript Numbers 00:16:00 Module 11: JavaScript Objects 00:13:00 Module 12: Demo of JavaScript Objects 00:07:00 Module 13: JavaScript Arrays 00:09:00 Module 14: Demo of JavaScript Arrays 00:26:00 Module 15: JavaScript Functions 00:06:00 Module 16: Demo of JavaScript Functions 00:08:00 Module 17: JavaScript Scope and Hoisting 00:10:00 Module 18: Demo of JavaScript Scope and Hoisting 00:07:00 Module 19: Currying Functions 00:03:00 Module 20: Demo of Currying Functions 00:07:00 Module 21: Timeouts and Callbacks 00:04:00 Module 22: Demo of Timeouts and Callbacks 00:08:00 Module 23: JavaScript Promises 00:05:00 Module 24: Demo of JavaScript Promises 00:07:00 Module 25: Demo of Javascript Async 00:04:00 Module 26: Flow Control 00:06:00 Module 27: Demo of Flow Control 00:07:00 Module 28: JavaScript For Loop 00:07:00 Module 29: Demo of JavaScript For Loop 00:04:00 Module 30: Demo of Switch Statements 00:05:00 Module 31: Error Handling 00:09:00 Module 32: Demo Project 01:11:00

Whether you're a beginner looking to start your coding journey or an experienced developer aiming to dive into data science and machine learning, this comprehensive course has you covered. In this Python bundle, you'll embark on a transformative learning journey through 11 carefully curated courses. First, you'll lay the foundation with "Python Programming: Python Coding Essential Training," where you'll grasp the fundamentals of Python coding. Then, you'll advance into the world of data with the "Data Structures Complete Course," equipping you with the skills to manipulate and manage data efficiently. But that's just the beginning. With courses spanning data science, machine learning, cloud computing, SQL programming, business intelligence, and critical thinking, this bundle is your passport to a versatile skill set that's in high demand. By enrolling in this course, you're investing in a brighter future, gaining the knowledge and expertise that will open doors to exciting career opportunities and enable you to tackle real-world challenges. Don't miss out on this chance to become a Python powerhouse and shape your professional destiny. This Python Powerhouse: Python Bundle Course for All Levels Bundle Consists of the following Premium courses: Course 01: Python Programming: Python Coding Essential Training Course 02: Data Structures Complete Course Course 03: Data Science with Python Course 04: Data Science & Machine Learning with Python Course 05: Python for Data Analysis Course 06: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 07: SQL Programming Complete Bundle Course 08: Higher Order Functions in Python - Level 03 Course 09: Basic Google Data Studio Course 10: Business Intelligence and Data Mining Masterclass Course 11: Decision Making and Critical Thinking Learning Outcomes Upon completion of this bundle, you should be able to: Develop a solid foundation in Python programming, enabling them to apply coding skills efficiently. Acquire a deep understanding of data structures and their applications in healthcare data management. Master the use of Python for data science, allowing them to analyse healthcare data and extract valuable insights. Explain SQL programming, which is crucial for handling healthcare databases and managing patient information securely. Explore higher-order functions in Python, enhancing their problem-solving skills and programming capabilities. Develop basic proficiency in Google Data Studio, a valuable tool for visualising healthcare data. Master business intelligence and data mining techniques are specific to the healthcare industry. "Python Powerhouse: Python Bundle Course for All Levels" is your gateway to mastering Python and unleashing its potential across various domains. This comprehensive course comprises 11 meticulously designed modules, each geared towards equipping learners with essential skills and knowledge. Starting with "Python Programming: Python Coding Essential Training," you'll build a strong foundation in Python, a programming language known for its versatility and widespread use. As you progress through the "Data Structures Complete Course," you'll delve into the world of efficient data manipulation, a fundamental skill applicable in numerous professional settings. One of the highlights of this bundle is "Data Science with Python," which empowers learners to harness Python's capabilities for data analysis. In "Data Science & Machine Learning with Python," you'll take the next step, exploring advanced techniques that are vital in today's data-driven world. Furthermore, "Python for Data Analysis" enhances your proficiency in making data-driven decisions. Beyond data, you'll gain expertise in cloud computing, SQL programming, higher-order functions in Python, Google Data Studio, business intelligence, and critical thinking - all essential skills that can open doors to a multitude of career opportunities. This course is your passport to a fulfilling career by providing a comprehensive toolkit to excel in various domains and industries. Don't miss the chance to become a Python powerhouse and shape your professional destiny. CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is tailored for: Data Enthusiasts Intermediate Python Developers Data Visualisation Enthusiasts Aspiring Business Analysts Anyone interested in Python Requirements No requirements to enrol this Python Powerhouse: Python Bundle Course for All Levels course. Career path Upon completion, various career opportunities include: Software Developer (Average salary range of £35,000 to £70,000) Data Analyst (Average salary range of £25,000 and £60,000.) Machine Learning Engineer (Average salary range of £45,000 to £80,000) Web Developer (Average salary range of £30,000 to £65,000) Research Scientist (Average salary range of £40,000 to £75,000) Certificates CPDQS Accredited e-Certificate Digital certificate - Included CPDQS Accredited Hard-Copy Certificate Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Python Programming: Python Coding Essential Training) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Description: As the most-used spreadsheet program in the world, learning how to use the Microsoft Excel will give you an edge in your professional career. This Microsoft Excel 2010 complete course is created to help you in learning all the functions and features of this program. Whether you are a beginner, intermediate and advanced level user, this course will help you in learning all the necessary skills, knowledge, and information about the Microsoft Excel. You will learn how to plan and organise your data using the tools in this program. You will know how to use the functions of Microsoft Excel that will help you in finishing your tasks effectively.This course will provide you with the necessary skills, knowledge and information of Microsoft Excel.  Who is the course for? Professionals who want to learn all about Microsoft Excel 2010 program. People who have an interest in knowing all the functions and features of Microsoft Excel. 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: The Microsoft Excel 2010 - Beginners, Intermediate, Advanced course is a useful qualification to possess and would be beneficial for any professions or career from any industry you are in such as: Accountant Account Assistant Administrative Assistant Administrator Bookkeeper Office Manager Personal Assistant Secretary. Microsoft Excel 2010 for Beginners Module One - Getting Started 00:30:00 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 00:30:00 Module Ten - Formatting Your Data 01:00:00 Module Eleven - Advanced Formatting Tools 01:00:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft Excel 2010 for Beginners 00:00:00 Microsoft Excel 2010 Intermediate Level Module One - Getting Started 00:30:00 Module Two - Working with Permissions and Options 01:00:00 Module Three - Sharing Workbooks 00:30:00 Module Four - Performing Advanced Formula and Function Tasks 01:00:00 Module Five - Working with Array Formulas 01:00:00 Module Six - Working with Functions 01:00:00 Module Seven - Working with Macros 01:00:00 Module Eight - Working with Forms 01:00:00 Module Nine - Applying Advanced Chart Features 01:00:00 Module Ten - Working with PivotTables and PivotCharts 01:00:00 Module Eleven - Using the Automated Analysis Tools Add -In 00:30:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft Excel 2010 Intermediate Level 00:00:00 Microsoft Excel 2010 Advanced Level Module One - Getting Started 00:30:00 Module Two - SmartArt and Objects 01:00:00 Module Three - Auditing 01:00:00 Module Four - Creating Charts 01:00:00 Module Five - Creating Pivot Tables 01:00:00 Module Six - Working with PivotTables and PivotCharts 01:00:00 Module Seven - Macros 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 00:30:00 Module Twelve - Wrapping Up 00:30:00 Activities-Microsoft Excel 2010 Advanced Level 00:00:00 Mock Exam Mock Exam- Microsoft Excel 2010 Complete Course - Beginners, Intermediate, Advanced 00:30:00 Final Exam Final Exam- Microsoft Excel 2010 Complete Course - Beginners, Intermediate, Advanced 00:30:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

The main outcome of this training course is to provide you with the knowledge to carry out the functions of a fire marshal. - Please note, this course also contains all of the content in the Basic Fire Awareness and Fire Extinguisher courses.

Management of Value (MoV®) Foundation This interactive MoV® Foundation course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn Upon completion of an MoV course candidates should be able to discuss and explain: The main processes and techniques used within MoV and the reasons for using them How MoV may be applied at portfolio, program, project and operational levels The differences in applying MoV at different stages in a project and the expected outputs from a MoV Study at each stage The circumstances under which MoV should be used The concept of value and how value may be improved The main benefits arising from the use of MoV Approaches for implementing MoV How to respond to external and internal influences The principles of embedding MoV into an organization The key topics in document checklists, the toolbox, health check, organizational maturity and individual competence. Upon successful completion of this course, you will be able to: Organize and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach and environment Analyse a company, program or project to establish its organizational value; includes identification and weighting of Value Drivers Pass the AXELOS MoV Foundation Examination Introduction to value management and MoV Value and Value Management Capabilities, Outcomes, Benefits and Disbenefits What is Value? What is Management of Value (MoV)? Why use MoV? Where use MoV? When MoV should be used? What using MoV involve? Selected MoV benefits Relationship with other AXELOS Global Best Practices and Models How MoV fits with other AXELOS Global Best Practice Guides MoV principles Align with organization's objectives Focus on functions and required outcomes Balance the variables to maximise value Apply throughout the investment decision Tailor MoV to suit the subject Learn from experience and improve Assign clear roles and responsibilities and build a supportive culture MoV processes Frame the programme or project Gather information Analyse information Process information Evaluate and select Develop Value Improving Proposals Implement and share outputs MoV techniques Function Analysis Function Analysis System Technique (FAST) Traditional (or classic) FAST Technical FAST Customer FAST Value Trees Measuring value Value profiling (a.k.a. value benchmarking) Simple multi-attribute rating technique (a.k.a. SMART) Value index Value metrics Value for money (VfM) ratio Value Engineering / Analysis Common techniques used in MoV Analysis of information Benchmarking Process Mapping Root Cause Analysis Discounted Cash Flow Analysis Generating Ideas Brainstorming Evaluation and option selection Option Selection Matrix Idea selection Allocation to Categories Idea Selection Matrix Weighting techniques Paired Comparisons Points Distribution Developing VIPs Developing Proposals Cost Benefit Analysis Building Decisions Implementing VIPs Implementation Plans Feedback Following up Tracking Benefits Approach to Implementation Generic approach to MoV implementation Plan the MoV activities Understand and articulate value Prioritize value Improve value Quantify value Monitor improvements in value Learn lessons Environmental factors Portfolio Considerations Programme considerations Project considerations Operational Considerations Embedding MoV into an organization Benefits of Embedding MoV into an organization MoV Policy MoV Policy Composition Embedding MoV into an organisation Key steps Suggested MoV Management Structure Overcoming barriers We do it anyway It takes up too much time We can't afford to make the changes What's in it for me? Don't fix it if it ain't broke Fixed returns on investment MoV products Briefing Meeting Agenda (A.1) Communications Checklist (A.2) Equipment list for an Effective Study/Workshop (A.3) Invitation to join the Study Team (A.4) Option Evaluation Matrix (A.5) Plan the Study (A.6) Recording Idea Selection (A.7) Reporting Study outputs (A.8) Scoping the Study (A.9) Study or Workshop Handbook (A.10) Value-Improvement Proposal Forms (A.11) Value Improvement Tracking Report (A.12) MoV toolbox MoV health check and maturity model P3M3 Maturity Model MoV Maturity Model (aligned with P3M3)