4290 Courses

Time Management 1 Day Training in Airdrie

Overview This course is designed to evaluate the financial statement, budget and making an effective decision. It will help to understand Discounted Cash Flow and its techniques, applications of financial statements and decision-making process.  In this programme, you will challenge representatives to learn how to make use of financial statements to assess the strategic or financial performance of an organization. It will help to understand DCF Discounted Cash Flow techniques along with their apps for financial making decisions and making use of ratios in order to identify the major areas of concern. Find out the elements like weaker financial signals, major success factors, and robust financial signals within your own industry. It Projects future performance assuredly through real-world budgeting.

Networks demystified training course description A concise overview course covering all aspects of networking with particular emphasis of use of the 7 layer model as a framework for discussing and learning new network terms enabling delegates to recognise the main buzzwords used in the industry. What will you learn Use the 7 layer model to classify networking terms. Differentiate between LANS and WANS. Recognise bandwidth measurements. List LAN and WAN technologies. Recognise cabling issues in a network. Networks demystified training course details Who will benefit: Sales staff, managers and other non-technical personnel. Technical personnel may benefit more from our Intro to data communications and networking course. Prerequisites: None. Duration 1 day Networks demystified training course contents What are networks? What is a network? Types of network, Local Area Networks (LANs), Wide Area Networks (WANs), connecting networks together with routers. The 7 layer model What is the 7 layer model? The importance of standards, using the 7 layer model to classify networking terms. Cables Copper, Fibre, Air, standards, connectors, LAN cables, WAN cables, distance limitations, hubs and repeaters, other issues. The radio spectrum. Bandwidth Bits and bytes. Bandwidth measurements, common technologies and their bandwidth, the impact of applications on bandwidth. Full and half duplex. Joining cables together to increase bandwidth (Link aggregation). LANs and WANs What is Ethernet? What is WiFi? What are Leased lines? What is MPLS? Ethernet switches Ethernet 'packets', MAC addresses, what is a switch, what is the difference between a hub and a switch. TCP/IP What is TCP/IP? What is a protocol? What is IP? What is TCP? The role of routers in joining LANS and WANS, What is the Internet? Applications Ways to use the network, clients, servers, web browsing and HTTP, Email, instant messaging, multimedia applications.

This course takes you through the concepts of containers and Kubernetes in a practical way. You will learn how to create, ship, run, and manage containerized web applications on local premises as well as on the cloud.

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Define multimode system terminology Describe goals and applications of multimode systems Detail basic component layouts of multimode systems Define microgrid systems and diagram component layouts for microgrid applications List applications for multimode systems Distinguish between back-up and self-consumption use cases Examine daily and annual data to perform a load analysis Review battery bank sizing Identify PV array sizing methods and variables for multimode systems Calculate minimum PV array size to meet load requirements Calculate what percentage of overall annual consumption will be offset by selected PV array size Analyze data required to specify a multimode inverter Differentiate between sizing considerations for internal and external AC connections Describe various configurations for stacking and clustering multiple inverters Describe when and why advanced inverter functions are used Discuss the equipment and designs needed for advanced multimode functions Analyze each advanced multimode function List data needed to perform an accurate financial analysis of systems that use advanced multimode functions Describe factors that can affect the financial analysis of systems using advanced multimode functions Describe the National Electrical Code (NEC®) Articles that apply to the different parts of PV and energy storage systems (ESS) Identify specific requirements for ESS and systems interconnected with a primary power source List relevant building & fire codes Communicate specific requirements for workspace clearances, disconnects, & OCPD Describe PV system requirements that affect ESS installation List ESS labeling requirements Review DC coupled systems, including advantages and disadvantages Discuss MPPT charge controller operations and options Review charge controller sizing for grid-tied systems Design a DC coupled multimode PV system for a residential application Define operating modes of an AC coupled PV system while grid-connected or in island mode Explain charge regulation methods of grid-direct inverter output Review AC coupled PV system design strategies Evaluate equipment options for AC coupled multimode applications Design an AC coupled multimode PV system for a residential application Define Energy Storage System (ESS) Describe criteria for evaluating energy storage system configurations and applications Design ESS system for back-up power Describe large-scale energy storage system applications and functions; review use case examples Analyze equipment configuration options for large-scale AC and DC coupled systems Formulate questions to enable design optimization of large-scale energy storage systems Note: SEI recommends working closely with a qualified person and/or taking PV 202 for more information on conductor sizing, electrical panel specification, and grounding systems. These topics will be part of this course, but they are not the focus.

If you’re looking to start a career in Python coding, but don’t know where to begin, this might be for you. This course is aimed at absolute beginners that have never done any coding before. Early on in the course, you’ll learn what coding is, what certain types of languages are used for, specifically Python, and the types of careers available through learning Python.

Principles and Applications of Neuroplasticity in Rehab Aims to Understanding the Neuroplasticity principles that are effective to use clinically as a rehabilitation protocol for neurologically compromised patients. This course aims to make physiotherapists experts in the treatment of neurological conditions.  Learning Objectives Identify different types of neurological conditions Understand the concept of Neuroplasticity How to encompass neuroplasticity in physical therapy rehabilitation Learn the Advance principles of neuroplasticity rehabilitation Who Should Enroll Physiotherapists Occupational Therapists Nurses, Physiotherapy assistants Occupational therapy assistants Neurorehabilitation specialists CPD Credit Hours 3 Hours Resources Lifetime Access to Learning Resources Downloadable Course Material CPD Certificate   Author Profile: Dr. Srishti Banerjee PT MPT ( Neurology) Dr. Srishti Banerjee is an accomplished physiotherapist with Masters in neurology. Her journey includes a BPT from Gujarat University, followed by an MPT in Neurology. She's held roles as a Consultant Physiotherapist and Lecturer. Dr. Banerjee is an author, contributing to a book on peripheral nerve lesions and a chapter on aquatic therapy. She's published original articles in various journals and explored topics like hamstring flexibility and the environmental impact of NSAIDs. Srishti is an online educator, offering MOOC courses on sustainable healthcare and shoulder dysfunction post-stroke. She shares her insights through blogs on neuroplasticity and preoperative physiotherapy. As an author, she's explored sleep disturbance in spinal cord injury patients and the impact of COVID-19 on the nervous system. She's also a one-page owner on Physiopedia. Through webinars, Srishti covers a wide range of topics, including mental health in physiotherapy and environmental sustainability. Her commitment to improving patient care and promoting sustainability in healthcare is evident in her work as an Assistant Professor LJ institute of Physiotherapy , LJ University. Physiotherapy OnlinePT. DPT Course Instructor About Physiotherapy Online Physiotherapy Online is a physiotherapist-owned educational company with a vision to create an ensemble of international educators to cater to undergraduate, postgraduate physiotherapy students as well as post professionals who are keen to advance or refesh their existing knowledge in varied specialities. As every student has a unique approach to learning, we have therefore created a library of bite sized chapters which may be accessed as an individual module or a course as a whole; self study webinars; live workshops for those who would like to get an in-person hands on immersive experience and audio books for those on the go.

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.