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    Microsoft Power Bi Desktop And Dax Plus Dashboard Creation

    Posted By: ELK1nG
    Microsoft Power Bi Desktop And Dax Plus Dashboard Creation

    Microsoft Power Bi Desktop And Dax Plus Dashboard Creation
    Published 5/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 14.94 GB | Duration: 19h 52m

    2023 Edition Power BI Desktop Course. Learn DAX with projects and how to create Reports and Dashboards

    What you'll learn

    You learn how to use Power BI Desktop for Report and Dashboard creation

    Transform and clean data using Power Query

    Data modelling (creating relationships)

    Write DAX (data analysis expression) from beginner to advanced level

    Creating interactive Reports

    Creating interactive Dashboards

    Write advanced DAX using Variables

    Requirements

    No previous Power BI knowledge is needed ( I will teach you all you need to know)

    Basic computer skill

    Willing to learn new skill

    Description

    Welcome to Power BI Desktop course. This is completely built with lots of Practical that will make you work with any real-Life datasetsAre you a data professional or aspiring analyst looking to learn the top business intelligence platform on the market,taking this course will build your confidence in data and analytics in general.Through out the course we will guide you through on how to approach real-life projects.This is the scenario:You just got hired as a DATA analyst into a sales and distribution company. Your first task is to use POWER BI to getinsight from the company’s historical data.Request from your Employer:Your employer needs you to help them TRACK KPI’s like: Revenue, Returns, Refunds & Profit etc. Create a dashboard that helps them find trend and other useful insights.They want to identify high profitable Product, Customer and Location etcYou don't need to worry about how to go through this project, we'll be here to walk you through every single step with intuitive, crystal clear explanations and helpful resources you need to get better.Step 1: Connecting to data and transformationIn this first stage we are going to look at how to get data, get it clean and transformed and load it into Power BI desktop.We will explore how to append data from csv and further use the advanced way to combine data from csv which is using the folder option to consolidate your yearly, weekly, quarterly or monthly data for easy update.Step 2: Data modelling or Creating a RelationshipIn this stage we will look at how to best connect your data table and the lookup tables together.Step 3: Adding Calculated Fields with DAXIn this stage things will start to get more interesting. This is the stage you are going to get introduced to Data AnalysisExpressions (DAX) at this stage we will learn how to create calculated columns and measures, explore when to use calculated column and when to avoid it.Step 4: Visualization (Dashboard)This final stage is where we bring our data to LIFE with report and dashboard. We will learn the best way to create an outstanding dashboard, create custom tooltips, explore bookmarks and Power BI What-If Parameters.

    Overview

    Section 1: Course Projects

    Lecture 1 Take a look at the projects we are going to create in this Course

    Section 2: Intro to POPWER BI Desktop

    Lecture 2 Best place to Install Power BI Desktop from

    Lecture 3 Important Power BI Settings you need to Know

    Lecture 4 Quick tour to Power BI

    Lecture 5 All helpful resources to Learn Power BI

    Section 3: How to Connect and Transform Data in Power Query

    Lecture 6 Importing Product Table to Power Query

    Lecture 7 Understanding the Query Editor

    Lecture 8 Choose columns and Removing columns

    Lecture 9 Power Query Marge Column and Column from Example

    Lecture 10 Extracting Text in Power Qury

    Lecture 11 Regional data Settings

    Lecture 12 Intro to Append Queries

    Lecture 13 Basic way to Append Queries or Tables

    Lecture 14 Advanced way to Append Queries or Tables

    Lecture 15 Adding Index Number and Merging Queries

    Lecture 16 How to Merge multiple columns

    Lecture 17 Importing the Returns FactTable

    Lecture 18 Power Query Static Calendar Table

    Lecture 19 Build Dynamic Power Query Calendar Table

    Lecture 20 Exclude some Tables from Report Refresh

    Lecture 21 How to solve some common Queries Error

    Section 4: Creating Data Modeling

    Lecture 22 Intro to Data Model

    Lecture 23 Arranging Tables in the Models

    Lecture 24 Creating a Star Schema Relationships

    Lecture 25 Creating SnowFlake Relationships

    Section 5: 04 How to create a Date Table using DAX

    Lecture 26 How to create A Date Table with DAX

    Lecture 27 How to restrict CALENDAR AUTO with VAR

    Lecture 28 Two ways to add columns in a Data Table

    Lecture 29 How to use IN and If Function

    Lecture 30 Mark your date table

    Section 6: Understand Calculated Column in Power BI

    Lecture 31 Intro to DAX Language in Power BI

    Lecture 32 Understanding Implicit Measures and Explicit Measures

    Lecture 33 Intro to Calculated Column

    Lecture 34 Aggregation with Calculated column

    Lecture 35 Fixing Percentage Error in Calculated column

    Lecture 36 Calculate Order Level in Calculated column

    Lecture 37 Customer Segmentation in Calculated Column

    Section 7: Understand DAX Measures

    Lecture 38 Intro to DAX Measures

    Lecture 39 How to Organize your Measures in a Single Table

    Lecture 40 DAX Measures for Aggregations

    Lecture 41 Calculating Returned and Refund Rates

    Lecture 42 Correct way to use the Count Functions 1

    Lecture 43 Correct way to use the Count Functions 2

    Lecture 44 Intro to the Calculate Function

    Lecture 45 Details on Calculated Columns

    Lecture 46 Transaction in Canada using CACULATE FUNCTION

    Lecture 47 Best Website to learn DAX FUNCTIONS

    Lecture 48 All and Calculate Function

    Lecture 49 Us All Function with multiple Tables

    Lecture 50 Allselected with Calculate to get correct Percentage

    Lecture 51 Adding Comment in Power BI

    Lecture 52 Understand DAX Table Function

    Lecture 53 The AND Function

    Lecture 54 Advanced AND Function

    Section 8: Understand Context Transition

    Lecture 55 Intro to Context Transition

    Lecture 56 Changing Row context to Filter Context

    Lecture 57 Segmenting Customer using Context Transition

    Lecture 58 Adding DrillThrough To know your customers by segment

    Section 9: Simplify DAX with Variables

    Lecture 59 Simplify DAX with Variables

    Lecture 60 02 Example of VAR or variables

    Lecture 61 03 VAR with Percentage of Grand Total

    Lecture 62 Fix Issues on Customer Table

    Lecture 63 Creating a disconnected Table for Top N

    Lecture 64 Top N measure

    Lecture 65 08 Top N with What-If Parameter

    Section 10: 09 Understand the default Filters in Power BI Desktop

    Lecture 66 Understand Filter on This Visual

    Lecture 67 Understand Filter on This Page alone

    Lecture 68 Filter on All pages

    Section 11: Visualization ( Learn to create a Detailed Dashboard)

    Lecture 69 Dashboard Overview

    Lecture 70 How to Sketch your Dashboard Layout before Creation

    Lecture 71 Creating a KPI Cards

    Lecture 72 Finding Profitable customer and Product

    Lecture 73 Show daily Trend with a Line Chart and zooming option

    Lecture 74 Top 10 Ordered Products

    Lecture 75 Things you need to create clean Dashboard

    Lecture 76 Formatting Dashboard

    Lecture 77 Arranging Shapes in Power Point for dashboard Template

    Lecture 78 How to pick correlated colors for your Dashboard

    Lecture 79 Getting statics and Animated Icons

    Lecture 80 Formatting and adding Animated Icons to our Dashboard

    Lecture 81 Formatting Table

    Lecture 82 Edit Interactions for slicers and visuals

    Lecture 83 Adding Bookmarks buttons and blur plus Map chart

    Lecture 84 How to show and Hide Bookmarks

    Lecture 85 Adjust shape in Power point

    Section 12: Visualization (Dashboard with profit forecast)

    Lecture 86 Project Dataset

    Lecture 87 Challenge Dashboard

    Lecture 88 Creating Forecast in a Line Chart

    Lecture 89 Using the Gauge Chart for comparing values with Target

    Lecture 90 Creating Tooltip Template in Power Point

    Lecture 91 Creating a custom Tooltip

    Lecture 92 Creating Conditional Formatting Measure for a Gauge Chart

    Lecture 93 How to fix Blank Error

    Lecture 94 Weekday Profit

    Lecture 95 Adding Slicers

    Lecture 96 Adding Drill Through

    Lecture 97 How to add Info to Drill Through

    Lecture 98 Formatting dashboard and adding background

    Section 13: Dashboard using What-If Parameter to change Scenarios

    Lecture 99 Project Dataset

    Lecture 100 Intro to What-If Analysis Dashboard

    Lecture 101 Parameter slide for Quantity Ordered

    Lecture 102 Parameter for Cost Change

    Lecture 103 Parameter for changing prices of products

    Lecture 104 Profit percentage change

    Lecture 105 Creating Table and formatting

    Lecture 106 Creating Dark template in Power point formatting

    Lecture 107 How to create a conditional Measures to show Up and Down trends

    Section 14: What-If Analysis Dashboard with Top-5

    Lecture 108 Project Dataset

    Lecture 109 Dashboard intro

    Lecture 110 Creating new page

    Lecture 111 Charts for Top New and Old Products

    Lecture 112 KPI Cards

    Lecture 113 Creating Template in Power Point

    Lecture 114 Changing Dashboard colors

    Section 15: Sales Returns Dashboard

    Lecture 115 Project Dataset

    Lecture 116 Intro to Returned Dashboard

    Lecture 117 Important KPI's

    Lecture 118 Returned and Refund Trend

    Lecture 119 Align charts and cards

    Lecture 120 Creating a template in Power Point

    Lecture 121 Importing and Formatting dashboard

    Lecture 122 How to create hide and show filter part 1

    Lecture 123 How to create hide and show filter part 2

    Lecture 124 Changing cards in Power Point

    Lecture 125 How to Create Advanced caption using DAX-VAR

    Data analysts,Students,Managers,People who want to develop analytics skills