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    Pl-300 Certification: Microsoft Power Bi Data Analyst/Da-100

    Posted By: ELK1nG
    Pl-300 Certification: Microsoft Power Bi Data Analyst/Da-100

    Pl-300 Certification: Microsoft Power Bi Data Analyst/Da-100
    Last updated 7/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 9.24 GB | Duration: 27h 56m

    Learn skills for Microsoft PL-300 certification using the free Power BI Desktop. Power Query, DAX, M, more. (Was DA-100)

    What you'll learn
    Download for free and install and run the full version of Power BI Desktop, the BI and analysis software.
    Be able to create analyses, such as line charts, stacked bar charts, or geographic analyses using maps.
    You will be able to format numbers and dates, and add labels, tooltips and animation.
    You will be able to Get and Transform multiple sources of data, including merging multiple files from a folder, pivoting and unpivotting.
    Building and refine models, including adding calculated columns and measures.
    You will learn the important M and DAX functions, to enable you to build your own formulas.
    Requirements
    Before you begin this course, you should have a computer with access to the internet, and be able to install Windows programs.
    You will need Windows 8.1, 10 or 11 or Windows Server 2012 R2 or later, to install the Power BI program.
    That's it! The more experience in reporting using other packages including Excel, the better, but it is not essential.
    If you have a Mac, then you will need to be able to either dual-boot into Windows, or use Parallel Desktop boot into Windows. However, Mac users can use the Power BI Service, and be able to do most of Part 1 and Part 4 of this course.
    Description
    This course covers the content required for the PL-300 certification exam.What do students like you say about this course?Girma says: "This is another great course taught by the instructor – well-paced, every important aspects of Power BI are discussed in detail. I gained the real power of Power BI in this course."Mohan says: "Another Excellent course by Mr Burton. This course can be used as a refresher , manual reference to review, understand and use Power BI tools efficiently. Explanations are very clear and crisp. Can help from Beginner to Intermediate level learning."Andrew says: "I took a similar Power BI course through my work and I think this one is better. Highly recommend this training. I am a Lead ERP Financial Systems Analyst who worked mostly with Oracle BI tools. Company wants to go in a different direction so I am learning Power BI."Do you already use reporting software such as Access, SSRS, Tableau or WebI? Or is this your first reporting software tool? Either way, welcome.In this course, learn the skills that Microsoft want you to know, and add another tool to your CV, and even go for the Microsoft Power BI certification.Power BI is one of the most requested reporting tools that are requested in the job market, and the ability to being able to use it now could be very useful for your current work, and your next job hunt.This course comes in four parts:Part 1 - Creating Visualizations (also known as Visualize the Data, and Analyze the Data)We'll download and install for free Power BI Desktop. We'll start by creating our first visualizations (vizzes) and investigate the Power BI interface.We'll look at the various visualisations available, and go through their common properties. We'll create maps, hierarchies, KPIs, guages, and all sorts of chart types. Part 2 - Get and Transform Data (also known as Prepare the Data)We see how data can be transformed, saving you time in analysing the data. We'll look at sorting and filtering, split columns, and other transform activities. We'll merge, append and combine queries together. We'll Pivot and Unpivot, and transform text, numbers, dates and times, and create custom columns using the M language.Part 3 - Refining the model (also known as Model the Data)We'll see how relationships can be made through multiple tables, and refine the data with custom columns and measures using the DAX language.Part 4 - Power BI ServiceWe'll then publish our visualisations onto the Power BI Service (which you can sign up for free), and then from your reports create dashboards. With the Power BI Pro (for which you can get a free trial), you can also create workspaces and apps.The course will take around 27 hours to complete, but completing this will enable you to create vizzes, dashboards and stories of your own, and know how to overcome common problems.The course increases in difficulty slowly, so you'll create for instance a table or basic bar chart, then turn it into a stacked bar chart, and investigate more of their properties, step by step.The course is fairly relaxed - there will be a few "wrong turns", so you can see what problems might arise, but every lesson works towards an end goal at a relatively slow pace, so you can follow on your own computer easily. I assume that you know how to use a computer, including installing programs, but the actual analysis will be at a basic level, and I'll introduce every component as we go on.At the end of the course, you can download a certificate of completion, so you can show everyone your new-found skills, and be able to start creating analyses for yourselves. And with a bit of practice, you could also go for the official Microsoft PL-300 exam - wouldn’t that certificate look good on your CV or resume?

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Welcome to Udemy

    Lecture 3 The Udemy Interface

    Lecture 4 Do you want auto-translated subtitles in more languages?

    Lecture 5 What are we going to learn?

    Lecture 6 Installing Power BI Desktop

    Lecture 7 Resources

    Lecture 8 Saved Power BI files

    Section 2: Part 1 Level 1: Creating and formatting a table visualization

    Lecture 9 Welcome to Part 1: Visualizations

    Lecture 10 Importing from Excel, and Creating our first visualization

    Lecture 11 Viewing data

    Lecture 12 Focus mode and Different visualizations

    Lecture 13 Why do I need a Work email address? And how can I get one, if I don't have it?

    Lecture 14 Saving visualization to the Desktop and to the Power BI service

    Lecture 15 Practice Activity Number 1

    Lecture 16 Practice Activity Number 1 - The Solution

    Section 3: Part 1 Level 2: Formatting our first visualization

    Lecture 17 The New Format Pane

    Lecture 18 Formatting font and font size

    Lecture 19 Formatting colors

    Lecture 20 Stylistic options

    Lecture 21 Position visuals

    Lecture 22 Align visuals

    Lecture 23 Format Painter

    Lecture 24 Configuring summarization, both default and in a specific visualization

    Lecture 25 Changing number and date formatting

    Lecture 26 Custom number and date formatting

    Lecture 27 Practice Activity Number 2

    Lecture 28 Practice Activity Number 2 - The Solution

    Section 4: Part 1 Level 3: Creating different visualizations: Matrices and bar charts

    Lecture 29 Matrix

    Lecture 30 Drill down data, see data and records, and export data

    Lecture 31 Stacked bar charts and switch theme for reports

    Lecture 32 Bar Chart formatting, including continuous versus categorical axes

    Lecture 33 Configure interactions between visual (Edit interactions)

    Lecture 34 Clustered and 100% Stacked bar charts

    Lecture 35 Line and area charts, including 8b. Configure duplicate pages

    Lecture 36 Combo charts (Line and column charts)

    Lecture 37 Practice Activity Number 3

    Lecture 38 Practice Activity Number 3 - The Solution

    Section 5: Part 1 Level 4: Adding more control to your visualizations

    Lecture 39 Adding Text boxes, Images and Shapes

    Lecture 40 Visual level, page level and report level filters - basic filters

    Lecture 41 Advanced Filtering

    Lecture 42 Filter Top N Items

    Lecture 43 Slicer

    Lecture 44 Slicer Warning

    Lecture 45 Sort visuals

    Lecture 46 Configure small multiples

    Lecture 47 Use Bookmarks for reports

    Lecture 48 ** Group and layer visuals by using the Selection pane

    Lecture 49 Drillthrough

    Lecture 50 Buttons and Actions

    Lecture 51 Enable Natural Language Queries (Ask A Question) and Page Formatting

    Lecture 52 Tooltip Pages

    Lecture 53 Practice Activity Number 4

    Lecture 54 Practice Activity Number 4 - The Solution

    Section 6: Part 1 Level 5: Other visualizations

    Lecture 55 Ribbon charts

    Lecture 56 Waterfall charts

    Lecture 57 Scatter, bubble and dot charts

    Lecture 58 Pie charts and donut charts

    Lecture 59 Treemaps

    Lecture 60 Funnel charts

    Lecture 61 Adding Marketplace visualizations (Import a Custom Visual)

    Lecture 62 Practice Activity Number 5

    Lecture 63 Practice Activity Number 5 - The Solution

    Section 7: Part 1 Level 6: Mapping

    Lecture 64 Maps

    Lecture 65 Formatting maps

    Lecture 66 Adding Data Categories

    Lecture 67 Filled Maps,Conditional Formatting, and color blindness

    Lecture 68 Creating hierarchies

    Lecture 69 ArcGIS Maps for Power BI

    Lecture 70 Practice Activity Number 6

    Lecture 71 Practice Activity Number 6 - The Solution

    Section 8: Part 1 Level 7: Measure performance by using KPIs, gauges and cards

    Lecture 72 Gauges

    Lecture 73 Cards and Multi-row cards

    Lecture 74 More conditional formatting

    Lecture 75 KPIs

    Lecture 76 Practice Activity Number 7

    Lecture 77 Practice Activity Number 7 - The Solution

    Section 9: Part 1 Level 8: Other Visualization Items for the exam

    Lecture 78 Define quick measures

    Lecture 79 Export report data

    Lecture 80 Create reference lines by using Analytics pane, including the Forecast feature

    Lecture 81 Identify outliers

    Lecture 82 ** Use clustering

    Lecture 83 Use Anomaly Detection

    Lecture 84 Use groupings and binnings

    Lecture 85 Use the AI Visual Key Influencers to explore dimensional variances

    Lecture 86 ** Use the Analyze feature in Power BI

    Lecture 87 Use the AI Visual decomposition tree visual to break down a measure

    Lecture 88 Creating a paginated report

    Section 10: Additional videos - Visualize and Analyze the Data

    Lecture 89 Not needed for the PL-300 exam

    Lecture 90 Design and configure for accessibility

    Lecture 91 Add a Smart Narrative visual

    Lecture 92 R and Python Visualizations

    Lecture 93 Use or create a PBIDS file

    Lecture 94 Exploring Power BI Report Builder

    Section 11: End of Part 1

    Lecture 95 End of Part 1

    Section 12: Part 2 Get and Transform Data: Level 1 - Home Part 1

    Lecture 96 Welcome to Part 2: Get and Transform Data

    Lecture 97 Introduction - let's Get some more Data

    Lecture 98 Exploring the Power Query Editor interface

    Lecture 99 Introducing the M language

    Lecture 100 Let's start look at the Home tab

    Lecture 101 Home menu - Manage Columns

    Lecture 102 Home menu - Reduce Rows and Use First Row as Headers

    Lecture 103 Practice Activity Number 8

    Lecture 104 Practice Activity Number 8 - The Solution

    Section 13: Part 2 Level 1 - Get Data - Home

    Lecture 105 Sort and Filter

    Lecture 106 Split Column

    Lecture 107 Other Transform activities

    Lecture 108 Practice Activity Number 9

    Lecture 109 Practice Activity Number 9 - The Solution

    Section 14: Part 2 Level 2 - Getting Multiple files

    Lecture 110 Merge Queries and Expand Table

    Lecture 111 Merge Queries with Group By, and different types of Joins

    Lecture 112 Appending two queries together

    Lecture 113 Appending three or more queries together + resolving a problem with data types

    Lecture 114 Combine Files (getting information from a folder)

    Lecture 115 Practice Activity Number 10

    Lecture 116 Practice Activity Number 10 - The Solution

    Section 15: Part 2 Level 3 - Transform Menu

    Lecture 117 Transform - Table and Any Column

    Lecture 118 Pivot Column

    Lecture 119 Unpivot

    Lecture 120 Practice Activity Number 11

    Lecture 121 Practice Activity 11 - The Solution

    Lecture 122 Unpivot in conjunction with other Transform features

    Lecture 123 Practice Activity Number 12

    Lecture 124 Practice Activity 12 - The Solution

    Section 16: Part 2 Level 4 - Transform - Text and Numbers

    Lecture 125 Transform/Add Column - Text - Format

    Lecture 126 Transform/Add Column - Text - Merge Columns

    Lecture 127 Transform/Add Column - Text - Extract

    Lecture 128 Transform/Add Column - Text - Parse

    Lecture 129 Transform/Add Column - Number Column - Statistics and Standard

    Lecture 130 Transform/Add Column - Other Number Column functions

    Lecture 131 Practice Activity Number 13

    Lecture 132 Practice Activity Number 13 - The Solution

    Section 17: Part 2 Level 5 - Transform - Dates and Time

    Lecture 133 Creating a list of dates

    Lecture 134 Transform/Add Column - Date

    Lecture 135 Transform/Add Column - Dates in other cultures/languages

    Lecture 136 Transform/Add Column - Time

    Lecture 137 Transform/Add column - Duration

    Lecture 138 Practice Activity Number 14

    Lecture 139 Practice Activity Number 14 - The Solution

    Section 18: Part 2 Level 6 - Add Columns, View and Help Menus

    Lecture 140 Column from examples

    Lecture 141 Conditional Column

    Lecture 142 Resolving Errors from Conditional Columns

    Lecture 143 Index Column and Duplicate Column

    Lecture 144 Custom Column - If Then Else

    Lecture 145 Converting text from a different locale to a number

    Lecture 146 Practice Activity Number 15

    Lecture 147 Practice Activity Number 15 - The Solution

    Section 19: Part 2 Level 7 - View and Help menus and advanced functionality

    Lecture 148 Other M Functions

    Lecture 149 View and Help menus, including Column Properties

    Lecture 150 Profile the data

    Lecture 151 Advanced Editor

    Lecture 152 Functions and Parameters

    Lecture 153 DateTimeZone date type and Functions

    Lecture 154 Worked Practice Activity Number 16 - Dividing Annual data into Months

    Section 20: Part 2 Level 8 - Get other types of data

    Lecture 155 Introduction to SQL Server

    Lecture 156 Importing database data into Power BI, and Query Folding

    Lecture 157 Select a storage mode

    Lecture 158 Expanding multiple tables in SQL Server

    Lecture 159 Importing data from SQL Server Analysis Services (SSAS)

    Lecture 160 Setting up Azure SQL Database

    Lecture 161 Using Azure SQL Database in Power BI

    Lecture 162 Use the Microsoft Dataverse

    Lecture 163 Configure data loading

    Section 21: Additional videos - Get and Transform

    Lecture 164 Not needed for the PL-300 exam

    Lecture 165 * Automatic page refresh

    Lecture 166 * Using Big Data

    Lecture 167 * Resolve problems

    Lecture 168 * Identify query performance issues, including Query Diagnostics

    Lecture 169 * Apply AI Insights

    Section 22: End of Part 2

    Lecture 170 End of Part 2

    Section 23: Part 3 Level 1: Creating a Data Model

    Lecture 171 Welcome to Part 3 - Modeling and DAX functions

    Lecture 172 Small changes to the menus

    Lecture 173 Get multiple data sets, and connecting them together

    Lecture 174 The problems with direction of relationships between data sets

    Lecture 175 Practice Activity Number 17

    Lecture 176 Practice Activity Number 17 - The Solution

    Section 24: Part 3 Level 2 - An introduction to DAX functions, including Logical functions

    Lecture 177 DAX functions - A useful Resource

    Lecture 178 Calculated columns - an introduction

    Lecture 179 Basic operators

    Lecture 180 IF, BLANK and ISBLANK

    Lecture 181 AND, OR and NOT

    Lecture 182 SWITCH

    Lecture 183 Other functions

    Lecture 184 Practice Activity Number 18

    Lecture 185 Practice Activity Number 18 - The Solution

    Section 25: Part 3 Level 3 - Statistical functions

    Lecture 186 Measures - an introduction, with standard aggregations including Countblank

    Lecture 187 Aggregation of calculations

    Lecture 188 Other statistical functions

    Lecture 189 Practice Activity Number 19

    Lecture 190 Practice Activity Number 19 - The Solution

    Section 26: Part 3 Level 4 - Mathematical functions

    Lecture 191 Introduction to mathematical functions

    Lecture 192 Rounding functions

    Lecture 193 Division functions - MOD and QUOTIENT

    Lecture 194 SIGN (and use with SWITCH) and ABS

    Lecture 195 Exponential functions

    Lecture 196 Other functions

    Lecture 197 Practice Activity Number 20

    Lecture 198 Practice Activity Number 20 - The Solution

    Section 27: Part 3 Level 5 - Text functions

    Lecture 199 Text searching

    Lecture 200 Text extraction and substitution

    Lecture 201 Text conversion

    Lecture 202 Other functions

    Lecture 203 Practice Activity Number 21

    Lecture 204 Practice Activity Number 21 - The Solution

    Section 28: Part 3 Level 6 - Information Functions

    Lecture 205 ISERROR and LOOKUPVALUE

    Lecture 206 Other functions

    Lecture 207 Practice Activity Number 22

    Lecture 208 Practice Activity Number 22 - The Solution

    Section 29: Part 3 Level 7 - Filter and Value Functions

    Lecture 209 RELATED - Flatten out a parent-child hierarchy

    Lecture 210 ** Design a data model that uses a star schema (not needed for DA-100)

    Lecture 211 RELATEDTABLE and COUNTROWS

    Lecture 212 Context

    Lecture 213 ALL

    Lecture 214 FILTER

    Lecture 215 CALCULATE

    Lecture 216 ALLEXCEPT

    Lecture 217 ALLSELECTED

    Lecture 218 Other functions

    Lecture 219 Practice Activity Number 23

    Lecture 220 Practice Activity Number 23 - The Solution

    Section 30: Part 3 Level 8 - Time Intelligence Functions

    Lecture 221 Date and Time Functions

    Lecture 222 FIRSTDATE, LASTDATE

    Lecture 223 Start of… and End of…

    Lecture 224 Previous… and Next…

    Lecture 225 DATESINPERIOD

    Lecture 226 DATESMTD, DATESQTD, DATESYTD, TOTALMTD, TOTALQTD, TOTALYTD

    Lecture 227 Opening Balance and Closing Balance

    Lecture 228 Semi-additive Measures

    Lecture 229 SAMEPERIODLASTYEAR and PARALLELPERIOD

    Lecture 230 Other Time Intelligence Functions

    Lecture 231 Practice Activity Number 24

    Lecture 232 Practice Activity Number 24 - The Solution

    Section 31: Part 3 Level 9 - Other Modeling and DAX Topics for the exam

    Lecture 233 Create calculated tables

    Lecture 234 Create a common date table

    Lecture 235 Define role-playing dimensions

    Lecture 236 Resolve many-to-many relationships - Joint Bank Accounts

    Lecture 237 Resolve many-to-many relationships - Different types of granularity

    Lecture 238 Improve cardinality levels through summarization and by changing data types

    Lecture 239 Identify poorly performing measures, relationships, and visuals

    Lecture 240 End of Part 3

    Section 32: Part 4 Section 1 - An Introduction to the Power BI Service

    Lecture 241 Welcome to Part 4: The Power BI Service

    Lecture 242 Introducing The Power BI Service

    Lecture 243 Logging into Power BI Service and a quick look around

    Lecture 244 Power BI Terminology

    Lecture 245 Datasets and Reports in the Power BI Service

    Lecture 246 Get Data - Other People's Data

    Lecture 247 Get Data - Your Data

    Lecture 248 The Navigation Pane, including Add a Quick Insights result to a report

    Section 33: Part 4 Section 2 - Power BI Pro and adding users

    Lecture 249 Signing up for Power BI Pro

    Lecture 250 Adding new users

    Lecture 251 Creating a new report

    Lecture 252 Sharing my new report

    Section 34: Part 4 Section 3 - Row Level Security

    Lecture 253 Adding role-based Row Level Security

    Lecture 254 Adding Dynamic Row Level Security

    Lecture 255 Testing Dynamic Row Level Security in the Power BI Service

    Section 35: Part 4 Section 4 - Dashboards

    Lecture 256 Differences between dashboards and reports

    Lecture 257 Manage Tiles on a Dashboard, Set Mobile View, and other Tiles options

    Lecture 258 Dashboards: Options

    Lecture 259 Configure Subscriptions

    Lecture 260 Pin a Live Report Page to a Dashboard

    Lecture 261 Use the Q&A Feature

    Lecture 262 Add a Dashboard Theme

    Lecture 263 Apply or Change Sensitivity Labels

    Lecture 264 Configure Data Alerts

    Section 36: Part 4 Section 5 - Manage datasets

    Lecture 265 Analyze in Excel

    Lecture 266 Promote or Certify (Endorse) a Dataset

    Lecture 267 Manually Refreshing data in the Power BI Service

    Lecture 268 Data Gateways; Providing Access to Datasets

    Lecture 269 Configure a Dataset Scheduled Refresh

    Lecture 270 Configure Incremental Refresh Settings - Step 1

    Lecture 271 Configure Incremental Refresh Settings - Step 2

    Section 37: Part 4 Section 6 - Create and manage workspaces

    Lecture 272 Create and Configure a Workspace

    Lecture 273 Assign Workspace Roles

    Lecture 274 Providing Access to Datasets

    Lecture 275 Configure and Update a Workspace App

    Lecture 276 Promote or certify Power BI report or app

    Lecture 277 Publish, Import or Update Assets in a Workspace - Publish securely

    Lecture 278 Publish reports on the web, so the public can see

    Section 38: Part 4 Section 7 - Other Power BI Service Topics

    Lecture 279 Create a PivotTable from a Power BI dataset in Excel

    Lecture 280 Use or create a dataflow

    Section 39: Not needed for the PL-300 exam

    Lecture 281 Not needed for the PL-300 exam

    Lecture 282 Implement Object-Level Security

    Lecture 283 Drillthrough from another report

    Lecture 284 Export Data

    Lecture 285 Recommend a Development Lifecycle Strategy

    Lecture 286 Identify downstream dataset dependencies

    Lecture 287 Personalize visuals

    Lecture 288 Dataflow Scheduled Refresh and Endorsement

    Lecture 289 Connect to a dataset using the XMLA endpoint

    Lecture 290 Configure large dataset format

    Lecture 291 Dashboard Data Classifications

    Section 40: End of Part 4

    Lecture 292 End of Part 4

    Section 41: Well done

    Lecture 293 That's almost it for the Power BI Service

    Lecture 294 Congratulations for finishing the course!

    Section 42: Bonus Lecture

    Lecture 295 Bonus Lecture

    This reporting course is meant for anyone who has no prior experience of Power BI. It's also for you if you have used it, but never designed a report.,It's great if you have created analyses in other reporting tools, such as Microsoft Access, WebI, SSRS, Tableau or Yellowfin, but it not essential. If you have, then it will be another string to your bow.,It would also be good if you had prior experience in using Excel formulas, but again, that is not essential.,No prior experience in reporting tools or creating formulas is required.,This course is probably not for you if you always know how to use Power BI and know how to create reports, although we will be looking at some more advanced topics, including the M and DAX languages.,This course may not be for you if you have a Mac, as Power BI is not natively installable onto Macs.