577 Warehouse courses in Cardiff delivered Online

Logistics Management Online Do you want to start a career in Logistics Management? Are you interested in learning the Logistics management skills and knowledge needed for this role but do not know where to start? To expand your professional career, enrol in this Logistics Management course right now. This Logistics Management course is designed to provide you with a solid understanding of logistics, ensuring that you are familiar with the components of a logistics system as well as the many types of logistics management. This Logistics Management course will also introduce you to the topic of business logistics and the goals of logistics management. This Logistics Management Course comprises a series of easy-to-digest, in-depth lessons that will offer you a deep, expert level of knowledge. This course will provide you with the skills you need to land your dream job. Enrol this Course now and start learning. Logistics Management Learning Outcomes After completing this Logistics Management course, you will be able to - Describe logistics management as well as what it entails. Build a strong logistics system. Describe supply chain management and supply chain movement. Know about sourcing, purchasing, and procurement. Explain various distribution networks. Keep track of your supplier relationships. Investigate resource management and planning. Recognize the connection between transportation and logistics. Certification After completing the MCQ/Assignment assessment for this Logistics Management course, you will be entitled to a Certificate of Completion from Training Tale. Logistics Management Course 1:14:00 1: Logistics Management Course 1:14:00 PDF Who is this course for? Logistics Management Training This Logistics Management course is perfect for - Job Seekers, Fresh Graduate, Organisational Manager, Company Owner. Requirements Logistics Management There are no specific requirements for this Logistics Management course. Career path Logistics Management You may be able to find the position you want in the industry with the help of our Logistics Management course. Certificates Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

Inventory management is the backbone of a well-functioning business, and understanding how to streamline it using Management Information Systems (MIS) is a game-changer. This course offers a strategic view of inventory control, showing you how to track, analyse, and optimise inventory levels using digital tools and data-driven methods. Whether you're overseeing stock in a retail environment or managing supplies in manufacturing, this course teaches the essentials of controlling costs and improving efficiency through the power of MIS. You’ll explore topics such as inventory forecasting, automated reporting, and MIS integration—all designed to support smarter decision-making. Through structured modules, you'll gain insight into how data flows, system configuration, and inventory analytics work together to help maintain accuracy, avoid overstocking, and reduce losses. Perfect for professionals aiming to refine inventory processes and enhance performance without being buried in spreadsheets or manual logs. Learning Outcomes: Understand the principles of inventory control and its importance in business operations. Analyse inventory data using management information systems (MIS). Identify and solve inventory issues such as slow-moving and non-moving items. Apply Pareto analysis to prioritise inventory control efforts. Utilise Excel functions such as reorder level and economic order quantity (EOQ) for effective inventory control. "Inventory Control Using MIS" is a comprehensive course bundle designed to equip learners with the knowledge and skills necessary to streamline inventory control processes. This course covers a range of topics, including inventory procurement, Pareto analysis, and Excel inventory control. Through hands-on exercises and real-world scenarios, learners will develop the ability to analyse and interpret inventory data, making informed decisions with confidence. This course bundle is ideal for inventory managers, supply chain professionals, and business owners seeking to optimise their inventory control processes. With a focus on practical applications and the use of management information systems (MIS), learners will come away from this course with a valuable skill set that can be applied in a range of professional settings. Inventory Control Using MIS Course Curriculum Lesson 01: Introduction to Inventory Control Lesson 02: Inventory Control Lesson 03: Inventory Issues Lesson 04: Pareto Analysis Lesson 05: Application of Pareto Lesson 06: Slow Moving and Non Moving Items Lesson 07: Inventory Procurement Lesson 08: Reorder Level and EOQ Lesson 09: Excel Inventory Control Lesson 10: Excel Inventory Control Continued How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Inventory managers seeking to streamline their inventory control processes. Supply chain professionals looking to enhance their knowledge of inventory control. Business owners seeking to optimise their inventory management. Students and individuals interested in inventory control and management information systems. Professionals looking to enhance their skill set in the field of inventory management. Career path Inventory Manager: £25,000 - £65,000 Supply Chain Manager: £30,000 - £85,000 Logistics Manager: £25,000 - £70,000 Operations Manager: £30,000 - £80,000 Business Analyst: £25,000 - £65,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS 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 Building Data Lakes on AWS 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.

This comprehensive one-day programme has been designed to provide participants with an overview of basic supply chain principles and concepts and to identify potential opportunities for reducing costs, minimising risks and adding value across the supply chain. This could include reducing inventory, procurement, transport and storage costs. Fundamentally, the object of the programme is to empower participants to be able to collaborate with all key stakeholders across the supply chain. This course will help participants: Appreciate the importance of the supply chain as a source of competitive advantage Understand the tools and techniques available to improve supply chain performance Analyse and mitigate risks across the supply chain Identify opportunities for improvements in their respective supply chains Demonstrate competence in the pro-active management of the supply chain

This course prepares you to qualify as both a Level 3 and Level 4 Commercial Energy Assessor. Achieving Level 4 certification expands your opportunities, allowing you to assess all types of commercial buildings, including hotels, warehouses, and offices, for Energy Performance Certificates (EPCs).