Get yourself trained on Microsoft Excel – with this Online Training Microsoft Excel – Intro to Power Query, Power Pivot & DAX.
Online Training Microsoft Excel – Intro to Power Query, Power Pivot & DAX
*** Course accessincludes project files, quizzes &homework exercises, 1-on-1 instructor support, LIFETIMEaccess and a 100%money-back guarantee! ***__________Hear why this is one of the TOP-RATEDExcel courses on Udemy:”I am a self-taught PowerQuery user and it took me a while to understand what each tool does and how it interacts with others. Thanks to your introduction I finally nailed it in a very clear, unambiguous way. You are helping me build a method that I can confidently apply to my data. Thank you so much!”-Francesca Colonnello”I’m less of an expert at breathing than Chris is at Excel. This course is thorough and well-planned, and he presents in a manner that simplifies the complicated. Well worth your time!”-Tim Britt”Freakinnnnnnn awesome”-Wojciech Napierala__________COURSEDESCRIPTION:This course introduces Microsoft Excel’s powerful data modeling andbusiness intelligence tools: Power Query, Power Pivot, and Data Analysis Expressions (DAX). If you’re looking to become a powerExcel userand absolutelysupercharge your analytics, this course isthe A-Z guide that you’re looking for.We’ll kick things off by introducing the “Power Excel”landscape, and explorewhat these tools are all about and whythey are changing the world of self-service business intelligence.Using sample datafrom a fictional supermarket chain,we’ll get hands-on withPower Query;atool toextract, transform, and loaddata from flat files, folders, databases, API services and more. We’ll practice shaping, blending and exploringourproject files, andcreatecompletely automatedloading procedures with only a few clicks.From there we’ll dive into Data Modeling 101,andcover the fundamentals of database design and normalization(includingtablerelationships, cardinality, hierarchies and more). We’ll take a tour throughExcel’s data model interface, introducesome best practices and pro tips, and thencreate our ownrelational database to analyze throughout the course.Next, we’ll usePower Pivot and DAX toexplore and analyze our data model. Unlike traditional pivots, Power Pivot allows you to analyze hundreds of millions of rows across multiple data tables, and create superchargedcalculated fields using aformula language called Data Analysis Expressions (or “DAX” for short). We’ll cover basic DAX syntax,then introduce some of the most powerful andcommonly-used functions — CALCULATE, FILTER, SUMX and more.If you’re ready totake your Excelgame to new heights and join the leading edge of analytics & business intelligence, this course is for you. It’s time to stop fighting with tedious, manual tasks andstruggling with “old-school” Excel;join me on this journeyand emerge a certified NINJA.See you in there!-Chris (Founder, Excel Maven)__________IMPORTANT:Power Query and Power Pivot are currently NOT available for Mac. You’ll need a PC version of Excel that is compatible with Power Pivot (Excel 2010 with plug-in,Excel 2013/2016 Standalone, Office 365 Pro Plus, Enterprise E3/E5, Office Professional 2016, etc.)
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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.