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The objective of the Level 6 Diploma in Logistics and Supply Chain Management (accredited by OTHM) qualification is to provide learners with the knowledge and skills required by a middle or senior manager in an organisation, and who may be involved in managing organisational logistics and supply chain. Level 6 Diploma in Logistics and Supply Chain Management Key Highlights Program Duration: 9 Months (Regular mode also available) Program Credits: 120 Credits Designed for working Professionals Format: Online No Written Exam. The Assessment is done via Submission of Assignment Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Master's degree programme. LSBR Alumni Status No Cost EMI Option The Level 6 Diploma in Logistics and Supply Chain Management qualification will provide you with the knowledge and skills required by a Middle or Senior Manager in an organisation, and who may be involved in managing organisational Logistics and Supply Chain. Upon successful completion of the programme, you will also become eligible to gain direct entry into relevant Master's degree programme. Mandatory units (Total Credits: 120) The OTHM Level 6 Diploma in Logistics and Supply Chain Management qualification consists of 6 mandatory units for a combined total of 120 credits Entrepreneurship Development (20 credits) Global Logistics and Supply Chain Management (20 credits) International Logistics Management (20 credits) Project Management (20 credits) Strategic Procurement (20 credits) Supply Chain Planning and Control (20 credits) Who is this course for? Working Professionals, or learners with relevant NQF/QCF/RQF Level 5 Diploma or equivalent recognised qualification or for learners who are interested in pursing an Undergraduate Qualification or who are looking for Career Progression and a formal qualification leading to award of degrees in future. Requirements For entry onto the Level 6 Diploma in Logistics and Supply Chain Management qualification, learners must have relevant NQF/QCF/RQF Level 5 diploma or equivalent recognised qualification. You must also be 18 years or older at the beginning of the course. No formal qualification is required from mature learners (over 21 years) who have relevant management experience. Please speak to the Admission Counsellors for waiver information. Career path University Progression after completion of your Level 6 Diploma in Logistics and Supply Chain Management qualification Upon successful completion of your Level 6 Diploma in Logistics and Supply Chain Management, you will also become eligible to gain direct entry into relevant Master's degree programme.

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In this course, you will get familiar with Microsoft Azure, its interface, and various services. You will provision and then use Microsoft Azure resources and services and have an appreciation for how everything connects and can contribute to your stable and modern application being developed.

Course Overview Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML. The Machine Learning for Apps Level 4 course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more. On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development. This best selling Machine Learning for Apps Level 4 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning for Apps Level 4 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Machine Learning for Apps Level 4 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Machine Learning for Apps Level 4 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Machine Learning for Apps Level 4, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning for Apps Level 4 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Machine Learning for Apps Level 4 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

The aim of this course is to provide learners with a comprehensive understanding of organizational system thinking and structure, including the principles and applications of systems thinking, its historical development, and its relevance in the workplace. After the successful completion of the course, you will be able to learn about the following, What are Organizational systems thinking? What is Systems Thinking? What is the History of Systems Thinking? How is Systems Thinking helpful in the Workplace? How can an organization Create a Systems-based Organization? When Should We Use Systems Thinking? What is the Leadership and Organizational Structure? What Is an Organizational Structure? Understanding of Key features of organizational structure. Understanding an Organizational Structure. What are the different types of organizational structures? How an organization can Form an organization structure. What are the Benefits of Organizational Structures? What is the Leadership role in developing a Strategy? How can leaders exercise their leadership power and influence? This course will provide the learners to delve into the concept of organizational system thinking and structure. The module will examine the benefits of using systems thinking in organizational decision-making and explore how organizations can create a systems-based approach to management. The aim of this course is to provide learners with a comprehensive understanding of organizational system thinking and structure, including the principles and applications of systems thinking, its historical development, and its relevance in the workplace. 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. Organization System Thinking and Structure Self-paced pre-recorded learning content on this topic. Understanding Organizational System Thinking and Structure 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. Organizational Development Specialist Leadership Development Specialist Organizational Effectiveness Manager Change Management Consultant Systems Thinking Analyst Organizational Behavior Analyst Talent Management Consultant Learning and Development Manager Performance Improvement Analyst Chief Operating Officer (COO) 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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Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the PL-300T00: Microsoft Power BI Data Analyst course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Front-line communication plays a vital role in shaping the public perception of every organisation. This course is designed to help delegates organise their ideas and communicate clearly and effectively through email. By improving written communication skills, delegates will become more concise, communicate with conviction, and foster meaningful dialogue with their audience. These skills are essential for professionals who interact with the public, as improved communication leads to greater internal and external customer satisfaction. Delegates will learn how to: Write clearly and professionally, enhancing public perception of expertise Communicate more efficiently in writing, reducing wasted time and increasing profitability Craft concise, rapport-building messages for internal and external customers, fostering productivity and a positive workplace environment Topics Covered: Benefits of using email Determining the purpose of an email Steps to take before writing Inflection in written messages Effects of instant messaging and text messaging on communication Basic email structure and planning Writing effective subject lines Paragraph structure and organisation Including relevant details and summarising problems effectively Proper use of CC and BCC fields Why typing in all caps is considered shouting! Proofreading techniques This Email Etiquette course is a 90-minute interactive virtual session. Upon registration, delegates will receive online login instructions prior to the class date. This format allows delegates to enhance their skills conveniently from their home or office while improving their professional communication abilities.

You will learn how to develop reliable and scalable serverless applications, following the microservices architecture. We will develop event-driven microservices with AWS serverless services that come with the power of the cloud, high availability and high scalability by nature following serverless design patterns and best practices.