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Students who complete PVOL206 will be able to: Discuss the basics of policy and its effect on the solar industry Identify resources to learn more about policy and keep up to date with new developments Describe general sales tips Discuss common objections Identify techniques to close a sale Identify customer motivations and needs Discuss project timeline with customer Manage customer expectations and advise about PV system limitations Discuss manufactures, installation, and roof warranties Explain expected system performance Identify jurisdictional issues (zoning, fire marshal regulations) and city, county, and utility requirements Understand electric bill terminology, key information, and billing procedures Recognize any variations in energy use Determine property type, house orientation, roof tilt/angle, and available area Identify any shading and evaluate obstructions Estimate array size based on customer budget, kWh consumption, and / or available roof area Price array size based on average $/watt Develop price range, savings estimate, and preliminary economic analysis Present (verbal / brief) initial ballpark proposal and benefits, discuss customer's budget limits Identify overall customer considerations and general safety requirements Define the electrical meter and main service panel information required Identify point of interconnection, location for electrical equipment, and location for conduit runs Describe factors to consider with data monitoring Determine maximum PV capacity that can be connected to a specific service and/or electrical panel Create a final array layout Accurately estimate PV system production Define metrics to evaluate labor and material costs Calculate an average residential system cost & identify the major contributing factors Identify the main benefits of reviewing actual build data (job costing) Define property tax exemptions, tax deductions, transfer credits, sales tax exemptions Explain performance based-initiatives Evaluate taxability of credits and other incentives Review net-metering and feed-in tariff laws Identify different utility financial structures and regulated and deregulated markets Describe demand charges & the duck curve Outline financing basics Explore ownership models Calculate annual and cumulative cash flow, determine payback Calculate the environmental benefits of installing solar Identify what to include in a proposal, the proposal process, and what tools are available to generate proposals
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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
Affinity Publisher Training Course for Beginners. Online Affinity Training with live instructors or face to face onsite. Learn to create and design layouts for flyers, brochures, newsletters, marketing documents and business stationery.
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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