7519 Power courses in Cardiff delivered Online

OVERVIEW Prerequisites—DIAD training and Advanced Data Modeling and Shaping training or equivalent working experience This course has been designed specifically for experienced model developers and gives a more advanced treatment of DAX formulas than either DIAD or the PL-300 course. We recommend that attendees have prior experience working with Power BI Desktop to create data models. During this course you will review: Writing DAX formulas. Defining calculated tables and columns. Defining measures. Using DAX iterator functions. Modifying filter context. Using DAX time intelligence functions. After completing this training, the attendees should be able to work with Data Analysis Expressions (DAX), perform calculations and define common business calculations for use in reports, address performance and functionality concerns. COURSE BENEFITS: Understand Analytic queries in Power BI Create calculated tables, calculated columns and measures Use DAX functions and operators to build DAX formulas Use DAX iterator functions Create formulas that manipulate the filter context Use DAX time intelligence functions WHO IS THE COURSE FOR? Analysts with experience of Power BI wishing to develop more advanced formulas in DAX Power BI developers who wish to deepen their understanding of the process of calculating formulas so as to make development faster and more reliable LAB OUTLINE Lab 1 Setup Connect to data and understand the objectives of the future labs Lab 2 Write DAX Formulas For Power BI Create a measure Use variables in the measure definition Lab 3 Add Calculated Table And Columns Duplicate a table Create a hierarchy Create a date table Add calculated columns Lab 4 Add Measures To Power BI Desktop Models Add an implicit measure to a report Add an explicit measure Add a compound measure Add a quick measure Lab 5 Use DAX Iterator Functions In A Power BI Desktop Model Complex summarization Higher grain summarization Create ranking measure Lab 6 Modify DAX Filter Context In Power BI Desktop Models Apply Boolean expression filter Remove filters: use ALL Remove filters: use AllSelected Preserve filters: use KeepFilters HASONEVALUE ISINSCOPE Context transition Lab 7 Use DAX Time Intelligence Functions In Power BI Desktop Models TOTALYTD SAMEPERIODLASTYEAR Calculate new occurrences Snapshot calculations

CWISA training course description This CWISA course covers wireless technologies with reference to IoT. It examines from an IoT perspective how wireless works, and is an excellent introduction to IoT for the wireless engineer. Topics range from wireless technologies, RF, to mobile networks, IoT, and security. What will you learn Describe wireless networking and IoT technologies. Explain basic RF communications. Plan wireless solutions. Describe how to implement wireless solutions. Use best practices in implementing wireless solutions. CWISA training course details Who will benefit: Anyone working with IoT technologies. Prerequisites: RF fundamentals. Duration 4 days CWISA training course contents Introduction to wireless technologies History of wireless, radio waves and frequencies, wireless technologies and related components, common components of wireless solutions, LAN networking requirements, Network security, Implementing wireless solutions, staging, documentation, security updates, Industry organizations, IEEE, compatibility and certification groups. Wireless network use cases Wireless BANs, Wireless PANs, Wireless LANs, Wireless MANs, Wireless WANs, Wireless sensor networks, New network driver-Internet of Things, IoT for industry (IIoT), IoT for connected vehicles, Residential environments, Retail, Education (K12), Higher education, Agriculture, Smart cities / Public access, Health care, Office buildings, Hospitality, Industry, Stadiums, arenas, and large public venues. Planning wireless solutions Identifying use cases and applications, common wireless requirements and constraints, performing a wireless system design, selecting and evaluating design parameters. RF communications RF wave characteristics, RF propagation behaviours, RF signal metrics, fundamentals of wireless modulation. other wireless carriers, common frequency bands. Radio frequency hardware Hardware levels, basic RF hardware components (circuit board level), RF link types (use category). RF device types. Mobile communications networks Mobile networks, LTE, 5G, Use cases. Short-range, low-rate, and low-power networks RF and speed, RF and range, RF and power, 802.11, 802.15.4, Bluetooth, LoRa (Long range) / LoRaWAN, ZigBee, 6LoWPAN, NB-IoT and LTE-M. Wireless sensor networks What is a Wireless Sensor Network (WSN)? WSN applications, Sensors and actuators, WSN architectures, Planning a WSN. Internet of Things (IoT) Internet of Things (IoT) defined, IoT history and its definition revisited, one more comment on the definition of IoT, IoT verticals, Oil & Gas, IoT structure/ architecture basics, IoT connected objects. Securing wireless networks Confidentiality, integrity and availability, Privacy, non-repudiation, authenticity & safety, Importance of authentication in wireless networks, Key cryptographic technologies & concepts, Authentication methods, Authorisation, OAuth 2.0 authorisation framework, monitoring. Troubleshooting wireless solutions Proper solutions design, designing and implementing wireless solutions, basic installation procedures, general configuration considerations, troubleshooting and remediation, troubleshoot common problems in wireless solutions. Programming, scripting and automation What is an API? categories of APIs, common API communication methods, choosing a language, why are we integrating systems? Application & integration architectures. Data structures & types, XML, YAML, API types.

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Overview Corporate frauds have the inherent power to bring large organizations to their knees, cause huge monetary loss, prompt lawsuits followed by significant legal expenses, lead to the imprisonment of employees and deteriorate confidence in the market, governments, and institutions. In response, corporations and governments across the globe have stepped up their effort to inspect, prevent and penalize fraudulent practices; resulting in a greater emphasis on the domains of forensic auditing and accounting in the current economy. This training course will empower you to recognize the root causes of fraud and white-collar crime in the current economy, understand the categories of fraud, equip you with methodologies of fraud detection and prevention, and heighten your ability to detect potential fraudulent situations. In addition to the fundamentals of fraud investigation and detection in a digital environment; profit-loss evaluation, analysis of accounting books, legal concepts, and quantification of financial damages are also examined in this course

OVERVIEW DIAD is a one-day, hands-on workshop for business analysts, covering the breadth of Power BI capabilities. The course focuses on five practical Labs and at the end of the day, attendees will better understand how to: Connect and transform data from a variety of data sources. Define business rules and KPIs. Explore data with powerful interactive visuals. Build stunning reports. Share their dashboards with their team business partners and publish them to the web. The course content is managed by the Power BI engineering team at Microsoft. There is no exam associated with the course. COURSE BENEFITS: Learn how to clean, transform, and load data from various sources Create and manage a data model in Power BI consisting of multiple tables connected with relationships Build Measures and other calculations in the DAX language to plot in reports Manage and share report assets to the Power BI Service WHO IS THE COURSE FOR? Data Analysts and Management Consultants with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence Analysts looking for a quick introduction to Power BI who don’t have the time for the full three day PL-300 course Marketers in data-intensive organisations who need new tools to build visually appealing, dynamic charts for their stakeholders to use LAB OUTLINE Lab 1 Accessing & Preparing The Data Load data from Excel and CSV sources Manipulate the data to prepare it for reporting Prepare tables in Power Query and load them into the data model Lab 2 Data Modelling And Exploration Create a range of different charts Highlight and cross-filter Create new groups and hierarchies Add new measures to the model Lab 3 Data Visualization Add conditional formatting to a report Add logos to a filter Import a custom visual Apply a custom theme Add bookmarks to the report to tell a story Lab 4 Publishing A Report And Creating A Dashboard Create a Workspace in the Power BI Service Publish a report to the Service Create a Dashboard and pin visuals to it Generate and view insights Lab 5 Collaboration Share a Dashboard Access a Dashboard on a Mobile Device

Overview In this course you will learn to build a financial model by working in Excel and how to perform sensitivity analysis in Excel. You will also learn the formulas, functions and types of financial analysis to be an Excel power user. By attending this course, you will be able to effectively prepare and build financial models. Objectives Harness Excel's tools within a best practice framework Add flexibility to their models through the use of switches and flexible lookups Work efficiently with large data volumes Model debt effectively Approach modelling for tax, debt, pensions and disposals with confidence Build flexible charts and sensitivity analysis to aid the presentation of results Learn and apply Excel tools useful in financial forecasting Understand and design the layout of a flexible model Forecast financial statements of a public or private company Apply scenario analysis to the forecasted financial statements and prepare charts for data presentation

Much of management is about finding creative solutions to problems and identifying the appropriate course of action. Creativity and originality explores the power of the mind in bringing things into being from original thought or basic concepts. This course sets out to demonstrate how the power of imagination can build on original thoughts to create solutions and plans, which contribute to workplace performance.

Description: This Microsoft Excel 2016 PowerPivot takes a look at the free PowerPivot add-in for Microsoft Excel 2016. It is a program for all users of PowerPivot to get a good grasp of how its features are set and how it works. It covers interface features, techniques for manipulating PowerPivot data. You will learn how to create PowerPivot reports, the structure of DAX functions, and ways to distribute PowerPivot data. So, if you are interested to develop your skills and knowledge, you shouldn't be late to join this course. Learning Outcomes: Explore PowerPivot applications Importing data from different sources Creating linked tables Organizing and formatting tables Creating calculated columns PowerPivot data filtering and sorting Creating PivotTables and PivotCharts, and filtering data using slicers Presenting Visual data through visual outlets Utilizing DAX functions for manipulating PowerPivot data Extracting data from tables using functions, and working with time dependent data Saving data in different formats and protecting reports Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Microsoft Excel 2016 PowerPivot is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Microsoft Excel 2016 PowerPivot is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Microsoft Excel 2016 PowerPivot Enable and Navigate 00:30:00 Import Data from Various Data Sources 01:00:00 Refresh Data from a Data Source 00:30:00 Create Linked Tables 00:30:00 Organize and Format Tables 00:30:00 Create Calculated Columns 00:30:00 Sort and Filter PowerPivot Data 00:30:00 Create and Manage Table Relationships 01:00:00 Create PivotTables 01:00:00 Create PivotCharts 00:30:00 Create Power Views 01:00:00 Filter Data Using Slicers 00:30:00 Present PivotTable Data Visually 01:00:00 Manipulate PowerPivot Data Using DAX Functions 01:00:00 Extract Data from Tables Using Functions 00:30:00 Save Reports in Different File Formats 01:00:00 Work with Time Dependent Data 00:30:00 Protect Reports 00:30:00 Activities and Exercise Files - Microsoft Excel 2016 PowerPivot 00:00:00 Mock Exam Mock Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Final Exam Final Exam- Microsoft Excel 2016 PowerPivot 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00

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