Get yourself trained on Microsoft Power BI with this Online Training Microsoft Power BI – Up & Running With Power BI Desktop.
Online Training Microsoft Power BI – Up & Running With Power BI Desktop
NOTE:This is PART1 of a 2-Part Microsoft Power BIseries:Up &Running with Power BIDesktopPublishing to Power BIServiceDon’t forget to complete PART2 to learn Power BIService and take your BIskills to the cloud!__________Hear why this is one of the TOP-RATEDPower BIcourses on Udemy:”Instructor is top notch – moves at the right pace and keeps it interesting. One of the best on Udemy!”-Adam Edwards”I absolutely loved this course. This course, as well as Chris’ other courses, move at a perfect pace. I did not find myself getting lost or having to catch up. The detail was enough for me to understand the concepts behind what we were doing in the example work. I have taken a lot of online and in-person courses around Excel, and Chris’ style is engaging and makes the subject matter less dry. I look forward to the next course on Power BI online.”-Stephen Michael”Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft BI. His “pro-tips” are great for new user productivity and gaining a sense of the “big picture”. I also value his “best practices” on building and managing queries and reports. I’m feeling much more confident digging in and using MS Power BI!”-Bill Jerrow__________COURSEDESCRIPTION:If you’re looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you’ve come to the right place.Power BI is quickly becoming the world’s most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike.With Power BIyou can connect to hundreds of data sources, build complex relational models using simple and intuitive tools, and designstunning, interactive dashboards from scratch — all for free.__________THECOURSEPROJECT:In thiscourse, you’ll be playing the role of Lead Business Intelligence Analyst for Adventure Works Cycles, a global manufacturing company.Your mission?To design and deliver a professional-quality, end-to-end business intelligence solution, armed only with a handful of raw csv files.But don’t worry,I’ll be guiding you through the ins-and-outs of Power BI Desktop, sharing crystal clear explanations andhelpful pro tips each step of the way.We’ll follow a steady, systematic progression through the B.I.workflow, and break down our project into FOURKEYOBJECTIVES:__________OBJECTIVE#1:Connect & Transform the Raw DataIntro to the Query EditorTypes of Data ConnectorsBasic Table TransformationsText, Number &Date ToolsIndex &Conditional ColumnsGrouping &Aggregating DataPivoting &UnpivotingModifying, Merging &Appending QueriesConnecting toFoldersDefining Hierarchies & CategoriesQuery Editing Best Practices__________OBJECTIVE#2:Builda RelationalData ModelIntro to Database NormalizationData (“Fact”) Tables vs. Lookup (“Dimension”) TablesCreating Table Relationships”Star” vs. “Snowflake” SchemasActive vs. Inactive RelationshipsRelationship CardinalityConnecting Multiple Data TablesFiltering &Cross-FilteringHiding Fields from Report ViewData Modeling best Practices__________OBJECTIVE#3:AddCalculated Fields with DAXIntro to Data Analysis Expressions (DAX)Calculated Columns vs. MeasuresRow Context vs. Filter ContextDAXSyntax &OperatorsCommon Function CategoriesBasic Date &Time FormulasLogical &Conditional StatementsText, Math &StatsFunctionsJoining Data with RELATEDCALCULATE, ALL &FILTERFunctionsDAXIterators (SUMX, AVERAGEX)Time Intelligence FormulasDAXBest Practices__________OBJECTIVE#4:DesignInteractiveReportsIntro to the Power BIReport ViewAdding Objects &Basic ChartsFormatting &FilteringOptionsMatrix VisualsSlicers &TimelinesCards &KPIsMap Visuals(Basic, Fill, ArcGIS)Treemaps, Lines, Areas &GaugesEditing Report interactionsAdding Drillthrough FiltersLinking to Report BookmarksUsing “What-If”ParametersManaging &Viewing RolesPREVIEW:Publishing to Power BI ServiceData Viz Best Practices__________By the end of the Adventure Works project, not only will youhave developed an entirebusiness intelligence tool from the ground up, but you will have gained the knowledge and confidence to apply these same concepts to your ownreal-world analyses.For those looking for more opportunities to test their skills, I’ve also included an additional set of project files for a bonusFinal Project. This is your chance to showcase all of the skills you’ve developed throughout the course, and apply them to a brand new data set from Maven Market, aglobal supermarket chain.Whether you’re a casual user, aspiring analyst, or data science professional, this course will give you the tools you need to become an absolute Power BIROCKSTAR — guaranteed.__________Join todayand get immediate, lifetime accessto the following:100+ pagePowerBIebookDownloadableproject filesHomework exercises &quizzes1-on-1 expert supportCourse Q&Aforum30-day money-back guaranteeSee you in there!-Chris (Founder, Maven Analytics)
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Investing in yourself through Learning
As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.