![]() |
|
Microsoft Power Bi Desktop Advanced Dax For Data Analysis - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Microsoft Power Bi Desktop Advanced Dax For Data Analysis (/Thread-Microsoft-Power-Bi-Desktop-Advanced-Dax-For-Data-Analysis) |
Microsoft Power Bi Desktop Advanced Dax For Data Analysis - OneDDL - 08-21-2024 ![]() Free Download Microsoft Power Bi Desktop Advanced Dax For Data Analysis Last updated 5/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.04 GB | Duration: 11h 30m Master advanced DAX in Power BI for data modeling, analytics & business intelligence, with a top Power BI instructor! What you'll learn Master Data Analysis Expressions (DAX) for Power BI Desktop Analyze real-world projects & business intelligence use cases Learn the same tools used by top data analytics & business intelligence professionals Test your skills with hands-on demos & assignments (with step-by-step solutions) Requirements Microsoft Power BI Desktop (free download) This course is designed for PC/Windows users (currently not available for Mac) Prior experience with DAX and Power BI is strongly encouraged Recommend completing our "Up & Running with Power BI Desktop" course before this one Description For users looking to take their Power BI skills to the next level, mastering Data Analysis Expressions (DAX) is a MUST. In this hands-on, project-based course, you'll put your DAX skills to the test and apply what you learn to some of the toughest real-world data analysis and business intelligence use cases.You'll be playing the role of Business Intelligence Analyst for Maven Roasters, a small-batch coffee chain based in New York City. Your goal? Use Power BI and DAX to answer key questions and deliver data-driven insights for the business, by analyzing product inventory, repeat customers, store-level performance, and everything in between.We'll start by quickly reviewing prerequisite topics (evaluation context, filter flow, basic measures, etc.), then dive behind the scenes to explore how the DAX formula and storage engines actually work, including query evaluation, columnar structures, and VertiPaq compression and encoding.From there we'll cover helpful tips and analytics best practices for DAX power users, including variables, comments, query formatting and error handling, then dive deep into scalar functions, iterators, advanced time intelligence, calculated table joins, relationship functions, and much, much more. Last but not least, we'll share a sneak peek into performance tuning and DAX query optimization using DAX Studio and Power BI's Performance Analyzer tool.If you're looking to build expert-level data analysis skills using DAX and Power BI, this is the course for you!__________FULL COURSE OUTLINE rerequisite Skills ReviewReview the core DAX concepts you should already know, including evaluation context, filter flow, measures, etc.Course Project IntroIntroduce the Maven Roasters course project, and build the data model that we'll analyze in Power BI DesktopThe DAX EnginesUnderstand the DAX formula and storage engines, data types, VertiPaq encoding & compression methods, etc.DAX Tips & Best PracticesReview helpful tips for formatting DAX queries, adding comments, handling errors, and using DAX variablesScalar FunctionsExplore common DAX scalar functions, including rounding, information, conversion, and logical functionsAdvanced CALCULATEReview CALCULATE modifiers, context transition, interactions with tables, etc.Table & Filter FunctionsCreate calculated tables, review common DAX filter functions, generate new data, etc.Calculated Table JoinsCreate calculated joins between physical and virtual tables in Power BI (UNION, EXCEPT, INTERSECT, etc.)Relationship FunctionsExplore expanded tables, physical & virtual relationships, common relationship functions, etc.Iterator ("X") FunctionsExplore iterator cardinality, nested iterators, context transition, RANKX, DAX calculation granularity, etc.Advanced Time IntelligenceBuild date tables with DAX, compare custom time periods, manage fiscal calendars, etc.SNEAK PEEK: Performance TuningIntroduce DAX Studio, the Power BI performance analyzer, and common DAX optimization techniques__________Join today and get immediate, lifetime access to the following:150+ page Power BI & DAX ebookDownloadable datasets and Power BI project filesHomework assignments & quizzes1-on-1 expert supportCourse Q&A forum30-day money-back guaranteeSee you in there!-Aaron (Power BI & DAX Instructor, Maven Analytics)__________Looking for our full course library? Search "Maven Analytics" to browse our full collection of Excel, Power BI, SQL, Tableau, Python, Alteryx & Machine Learning courses!Hear why our Power BI courses are the TOP-RATED on Udemy:"I totally loved this Power BI course! Everything was very easy to understand, but it moved at a fast enough pace that I never got bored. I learned SO much and had fun doing it. In fact, at the end of the day, I didn't want to stop learning -- I wanted to keep charging on to the next lesson!"-Ann S."Amazing! 5+ stars if you ask me! Concise, superbly organized and prepared. I have learned a ton about Power BI and DAX and enjoyed the course from start to finish."-Nikola H."Hands-down the best Power BI courses on Udemy. Courses are well prepared and very hands-on, and the instructor makes the whole experience easy and fun. I recommend it 100%!"-Jorge M."Where can I leave a 6 star rating?"-Carlos B.Overview Section 1: Getting Started Lecture 1 Course Structure & Outline Lecture 2 READ ME: Important Notes for New Students Lecture 3 DOWNLOAD: Course Resources Lecture 4 Setting Expectations Lecture 5 Helpful Resources Section 2: Prerequisite Skills Review Lecture 6 Introduction Lecture 7 Data Modeling Fundamentals Lecture 8 Basic DAX Review Section 3: Introducing the Course Project Lecture 9 Introducing the Course Project Lecture 10 NOTE: Power BI Options & Settings Lecture 11 Maven Roasters Data Model Setup Lecture 12 ASSIGNMENT: Getting Familiar with the Data Model Section 4: The DAX Engines Lecture 13 Introduction Lecture 14 DAX Formula & Storage Engines Lecture 15 DAX Query Evaluation In Depth Lecture 16 Data & Storage Types Lecture 17 VertiPaq Columnar Data Structure Lecture 18 VertiPaq Compression & Encoding Lecture 19 Value Encoding Lecture 20 Hash Encoding Lecture 21 Run Length Encoding Lecture 22 VertiPaq Relationships Lecture 23 Summary: DAX Engines Section 5: Tips & Best Practices Lecture 24 Introduction Lecture 25 DAX Shortcuts Lecture 26 Formatting Best Practices Lecture 27 DAX Evaluation Order Lecture 28 Commenting Your Code Lecture 29 PRO TIP: Dedicated Measure Table Lecture 30 Error Handling Lecture 31 Creating & Using DAX Variables Lecture 32 Variable Evaluation Order Lecture 33 PRO TIP: Using Variables to Test & Debug DAX Section 6: Scalar Functions Lecture 34 Introduction Lecture 35 Common Scalar Functions Lecture 36 Aggregation Functions Lecture 37 PRO TIP: SUM & SUMX Lecture 38 Rounding Functions Lecture 39 ASSIGNMENT: Rounding Functions Lecture 40 SOLUTION: Rounding Functions Lecture 41 Information Functions Lecture 42 Conversion Functions Lecture 43 ASSIGNMENT: Conversion Functions Lecture 44 SOLUTION: Conversion Functions Lecture 45 Logical Functions: SWITCH Lecture 46 Logical Functions: COALESCE Lecture 47 ASSIGNMENT: Logical Functions Lecture 48 SOLUTION: Logical Functions Section 7: Advanced CALCULATE Lecture 49 Introduction Lecture 50 Expanded Tables Lecture 51 Context Transition Lecture 52 Evaluation Order Lecture 53 CALCULATE Modifiers Lecture 54 REMOVEFILTERS Lecture 55 KEEPFILTERS Lecture 56 ASSIGNMENT: Advanced CALCULATE Lecture 57 SOLUTION: Advanced CALCULATE Lecture 58 PRO TIP: Common CALCULATE Patterns Section 8: Table & Filter Functions Lecture 59 Introduction Lecture 60 Common Table & Filter Functions Lecture 61 Review: Calculated Tables Lecture 62 DISTINCT Lecture 63 VALUES Lecture 64 ASSIGNMENT: VALUES & DISTINCT Lecture 65 SOLUTION: VALUES & DISTINCT Lecture 66 SELECTEDVALUE Lecture 67 ALLEXCEPT Lecture 68 ASSIGNMENT: ALLEXCEPT Lecture 69 SOLUTION: ALLEXCEPT Lecture 70 ALLSELECTED Lecture 71 ASSIGNMENT: ALLSELECTED Lecture 72 SOLUTION: ALLSELECTED Lecture 73 SELECTCOLUMNS Lecture 74 ADDCOLUMNS Lecture 75 SUMMARIZE Lecture 76 ASSIGNMENT: SUMMARIZE Lecture 77 SOLUTION: SUMMARIZE Lecture 78 Generating New Data Lecture 79 ROW Lecture 80 DATATABLE Lecture 81 GENERATESERIES Lecture 82 The Table Constructor Lecture 83 ASSIGNMENT: Generating Data Lecture 84 SOLUTION: Generating Data Section 9: Calculated Table Joins Lecture 85 Introduction Lecture 86 CROSSJOIN Lecture 87 UNION Lecture 88 EXCEPT Lecture 89 INTERSECT Lecture 90 ASSIGNMENT: Calculated Table Joins Lecture 91 SOLUTION: Calculated Table Joins Section 10: Relationship Functions Lecture 92 Introduction Lecture 93 Physical vs. Virtual Relationships Lecture 94 RELATED Lecture 95 RELATEDTABLE Lecture 96 ASSIGNMENT: RELATED & RELATEDTABLE Lecture 97 SOLUTION: RELATED & RELATEDTABLE Lecture 98 USERELATIONSHIPS Lecture 99 CROSSFILTER Lecture 100 ASSIGNMENT: CROSSFILTER Lecture 101 SOLUTION: CROSSFILTER Lecture 102 TREATAS Lecture 103 ASSIGNMENT: Sales Targets (TREATAS) Lecture 104 SOLUTION: Sales Targets (TREATAS) Section 11: Iterator Functions Lecture 105 Introduction Lecture 106 Review: Basic Iterators Lecture 107 Iterator Cardinality Lecture 108 CONCATENATEX Lecture 109 PRO TIP: Adding Dynamic Labels Lecture 110 ASSIGNMENT: CONCATENATEX Lecture 111 SOLUTION: CONCATENATEX Lecture 112 AVERAGEX Lecture 113 PRO TIP: Moving Averages Lecture 114 ASSIGNMENT: Moving Averages Lecture 115 SOLUTION: Moving Averages Lecture 116 RANKX Lecture 117 ASSIGNMENT: RANKX Lecture 118 SOLUTION: RANKX Section 12: Advanced Time Intelligence Lecture 119 Introduction Lecture 120 Automatic Date Tables Lecture 121 Date Table Requirements Lecture 122 CALENDAR Lecture 123 CALENDARAUTO Lecture 124 PRO TIP: Building a Reusable Date Table Lecture 125 Date Formatting Lecture 126 ASSIGNMENT: Date Formatting Lecture 127 SOLUTION: Date Formatting Lecture 128 Common Time Intelligence Functions Lecture 129 PARALLELPERIOD Lecture 130 PREVIOUSQUARTER Lecture 131 SAMEPERIODLASTYEAR Lecture 132 ASSIGNMENT: Time Periods Lecture 133 SOLUTION: Time Periods Lecture 134 Week-based Calculations Lecture 135 Previous Fiscal Week Lecture 136 Fiscal Period to Date Lecture 137 Fiscal Previous Period Lecture 138 ASSIGNMENT: 4-5-4 Calendar Lecture 139 SOLUTION: 4-5-4 Calendar Section 13: Sneak Peek: Performance Tuning Lecture 140 Introduction Lecture 141 Power BI Performance Analyzer Lecture 142 PRO TIP: Copy Query Lecture 143 DAX Studio Lecture 144 DAX Optimization Workflow Section 14: Wrapping Up Lecture 145 BONUS LESSON Aspiring data professionals looking to master the #1 business intelligence tool on the market,Analytics or BI professionals looking to build expert-level DAX + Power BI skills,Power BI users tasked with solving unique and complex data analysis use cases,Students looking for a comprehensive, engaging, and highly interactive approach to training Homepage Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live No Password - Links are Interchangeable |