Pl-300 Certification Microsoft Power Bi Data Analyst

Free Download Pl-300 Certification Microsoft Power Bi Data Analyst
Last updated 7/2023
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 17.10 GB | Duration: 29h 17m
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 Desktop 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. It has been updated in line with the March-June 2023 User Interface update for on-object interaction.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 28 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 Exploring Power BI Desktop – Report view
Lecture 12 Exploring Power BI Desktop – Data view
Lecture 13 Focus mode and Different visualizations
Lecture 14 Why do I need a Work email address? And how can I get one, if I don’t have it?
Lecture 15 Saving visualization to the Desktop and to the Power BI service
Lecture 16 Practice Activity Number 1
Lecture 17 Practice Activity Number 1 – The Solution
Section 3: Part 1 Level 2: Formatting our first visualization
Lecture 18 Opening the Format Pane – for older versions of Power BI
Lecture 19 Exploring the Format Pane (for all versions of Power BI)
Lecture 20 Formatting using On-object Interaction
Lecture 21 Formatting font and font size
Lecture 22 Formatting colors
Lecture 23 Stylistic options
Lecture 24 Position visuals
Lecture 25 Align visuals
Lecture 26 Format Painter
Lecture 27 Configuring summarization, both default and in a specific visualization
Lecture 28 Changing number and date formatting
Lecture 29 Custom number and date formatting
Lecture 30 Practice Activity Number 2
Lecture 31 Practice Activity Number 2 – The Solution
Section 4: Part 1 Level 3: Creating different visualizations: Matrices and bar charts
Lecture 32 Matrix
Lecture 33 Drill down data, see data and records, and export data
Lecture 34 Stacked bar charts and switch theme for reports
Lecture 35 Bar Chart formatting, including continuous versus categorical axes
Lecture 36 Configure interactions between visual (Edit interactions)
Lecture 37 Clustered and 100% Stacked bar charts
Lecture 38 Line and area charts, including 8b. Configure duplicate pages
Lecture 39 Combo charts (Line and column charts)
Lecture 40 Practice Activity Number 3
Lecture 41 Practice Activity Number 3 – The Solution
Section 5: Part 1 Level 4: Adding more control to your visualizations
Lecture 42 Adding Text boxes, Images and Shapes
Lecture 43 Visual level, page level and report level filters – basic filters
Lecture 44 Advanced Filtering
Lecture 45 Filter Top N Items
Lecture 46 Slicer
Lecture 47 Synchronizing slicers to multiple pages
Lecture 48 Slicer Warning
Lecture 49 Sort visuals
Lecture 50 Configure small multiples
Lecture 51 Use Bookmarks for reports
Lecture 52 Group and layer visuals by using the Selection pane
Lecture 53 Drillthrough
Lecture 54 Buttons and Actions
Lecture 55 Page Navigation and Drill through actions
Lecture 56 Enable Natural Language Queries (Ask A Question) and Page Formatting
Lecture 57 Tooltip Pages
Lecture 58 Page and Bookmark Navigator
Lecture 59 Practice Activity Number 4
Lecture 60 Practice Activity Number 4 – The Solution
Section 6: Part 1 Level 5: Other visualizations
Lecture 61 Ribbon charts
Lecture 62 Waterfall charts
Lecture 63 Scatter, bubble and dot charts
Lecture 64 Pie charts and donut charts
Lecture 65 Treemaps
Lecture 66 Funnel charts
Lecture 67 Adding Marketplace visualizations (Import a Custom Visual)
Lecture 68 Practice Activity Number 5
Lecture 69 Practice Activity Number 5 – The Solution
Section 7: Part 1 Level 6: Mapping
Lecture 70 Maps
Lecture 71 Formatting maps
Lecture 72 Adding Data Categories
Lecture 73 Filled Maps,Conditional Formatting, and color blindness
Lecture 74 Creating hierarchies
Lecture 75 ArcGIS Maps for Power BI
Lecture 76 Practice Activity Number 6
Lecture 77 Practice Activity Number 6 – The Solution
Section 8: Part 1 Level 7: Measure performance by using KPIs, gauges and cards
Lecture 78 Gauges
Lecture 79 Cards and Multi-row cards
Lecture 80 More conditional formatting
Lecture 81 KPIs
Lecture 82 Practice Activity Number 7
Lecture 83 Practice Activity Number 7 – The Solution
Section 9: Part 1 Level 8: Other Visualization Items for the exam
Lecture 84 Define quick measures
Lecture 85 Export report data
Lecture 86 Create reference lines by using Analytics pane, including the Forecast feature
Lecture 87 Use error bars
Lecture 88 Identify outliers
Lecture 89 Use clustering
Lecture 90 Use Anomaly Detection
Lecture 91 Use groupings and binnings
Lecture 92 Use the AI Visual Key Influencers to explore dimensional variances
Lecture 93 Use the Analyze feature in Power BI
Lecture 94 Use the AI Visual decomposition tree visual to break down a measure
Lecture 95 Creating a paginated report
Lecture 96 Exploring Power BI Report Builder
Section 10: Additional videos – Visualize and Analyze the Data
Lecture 97 Not needed for the PL-300 exam
Lecture 98 Design and configure for accessibility
Lecture 99 Add a Smart Narrative visual
Lecture 100 R and Python Visualizations
Lecture 101 Use or create a PBIDS file
Section 11: End of Part 1
Lecture 102 End of Part 1
Section 12: Part 2 Get and Transform Data: Level 1 – Home Part 1
Lecture 103 Welcome to Part 2: Get and Transform Data
Lecture 104 Introduction – let’s Get some more Data
Lecture 105 Exploring the Power Query Editor interface
Lecture 106 Introducing the M language
Lecture 107 Let’s start look at the Home tab
Lecture 108 Home menu – Manage Columns
Lecture 109 Home menu – Reduce Rows and Use First Row as Headers
Lecture 110 Practice Activity Number 8
Lecture 111 Practice Activity Number 8 – The Solution
Section 13: Part 2 Level 1 – Get Data – Home
Lecture 112 Sort and Filter
Lecture 113 Split Column
Lecture 114 Other Transform activities
Lecture 115 Practice Activity Number 9
Lecture 116 Practice Activity Number 9 – The Solution
Section 14: Part 2 Level 2 – Getting Multiple files
Lecture 117 Merge Queries and Expand Table
Lecture 118 Merge Queries with Group By, and different types of Joins
Lecture 119 Comma Separated Files
Lecture 120 Appending two queries together
Lecture 121 Appending three or more queries together + resolving a problem with data types
Lecture 122 Combine Files (getting information from a folder)
Lecture 123 Practice Activity Number 10
Lecture 124 Practice Activity Number 10 – The Solution
Section 15: Part 2 Level 3 – Transform Menu
Lecture 125 Transform – Table and Any Column
Lecture 126 Pivot Column
Lecture 127 Unpivot
Lecture 128 Practice Activity Number 11
Lecture 129 Practice Activity 11 – The Solution
Lecture 130 Unpivot in conjunction with other Transform features
Lecture 131 Practice Activity Number 12
Lecture 132 Practice Activity 12 – The Solution
Section 16: Part 2 Level 4 – Transform – Text and Numbers
Lecture 133 Transform/Add Column – Text – Format
Lecture 134 Transform/Add Column – Text – Merge Columns
Lecture 135 Transform/Add Column – Text – Extract
Lecture 136 Transform/Add Column – Text – Parse
Lecture 137 Transform/Add Column – Number Column – Statistics and Standard
Lecture 138 Transform/Add Column – Other Number Column functions
Lecture 139 Practice Activity Number 13
Lecture 140 Practice Activity Number 13 – The Solution
Section 17: Part 2 Level 5 – Transform – Dates and Time
Lecture 141 Creating a list of dates
Lecture 142 Transform/Add Column – Date
Lecture 143 Transform/Add Column – Dates in other cultures/languages
Lecture 144 Transform/Add Column – Time
Lecture 145 Transform/Add column – Duration
Lecture 146 Practice Activity Number 14
Lecture 147 Practice Activity Number 14 – The Solution
Section 18: Part 2 Level 6 – Add Columns, View and Help Menus
Lecture 148 Column from examples – dates and numbers
Lecture 149 Column from examples – text
Lecture 150 Importing CSV/text files and Extract Tables Using Examples
Lecture 151 Conditional Column
Lecture 152 Resolving Errors from Conditional Columns
Lecture 153 Index Column and Duplicate Column
Lecture 154 Custom Column – If Then Else
Lecture 155 Converting text from a different locale to a number
Lecture 156 Practice Activity Number 15
Lecture 157 Practice Activity Number 15 – The Solution
Section 19: Part 2 Level 7 – View and Help menus and advanced functionality
Lecture 158 Other M Functions
Lecture 159 View and Help menus, including Column Properties
Lecture 160 Profile the data
Lecture 161 Advanced Editor
Lecture 162 Functions and Parameters
Lecture 163 DateTimeZone date type and Functions
Lecture 164 Worked Practice Activity Number 16 – Dividing Annual data into Months
Section 20: Part 2 Level 8 – Get other types of data
Lecture 165 Installing SQL Server
Lecture 166 Introduction to SQL Server
Lecture 167 Importing database data into Power BI, and Query Folding
Lecture 168 Expanding multiple tables in SQL Server
Lecture 169 Select a storage mode
Lecture 170 Importing data from SQL Server Analysis Services (SSAS)
Lecture 171 Setting up Azure SQL Database
Lecture 172 Using Azure SQL Database in Power BI
Lecture 173 Use the Microsoft Dataverse
Lecture 174 Configure data loading
Section 21: Additional videos – Get and Transform
Lecture 175 Not needed for the PL-300 exam
Lecture 176 * Automatic page refresh
Lecture 177 * Using Big Data
Lecture 178 * Resolve problems
Lecture 179 * Identify query performance issues, including Query Diagnostics
Lecture 180 * Apply AI Insights
Section 22: End of Part 2
Lecture 181 End of Part 2
Section 23: Part 3 Level 1: Creating a Data Model
Lecture 182 Welcome to Part 3 – Modeling and DAX functions
Lecture 183 Get multiple data sets, and connecting them together
Lecture 184 The problems with direction of relationships between data sets
Lecture 185 Practice Activity Number 17
Lecture 186 Practice Activity Number 17 – The Solution
Section 24: Part 3 Level 2 – An introduction to DAX functions, including Logical functions
Lecture 187 DAX functions – A useful Resource
Lecture 188 Calculated columns – an introduction
Lecture 189 Basic operators
Lecture 190 IF, BLANK and ISBLANK
Lecture 191 AND, OR and NOT
Lecture 192 SWITCH
Lecture 193 Other functions
Lecture 194 Practice Activity Number 18
Lecture 195 Practice Activity Number 18 – The Solution
Section 25: Part 3 Level 3 – Statistical functions
Lecture 196 Measures – an introduction, with standard aggregations including Countblank
Lecture 197 Aggregation of calculations
Lecture 198 Other statistical functions
Lecture 199 Practice Activity Number 19
Lecture 200 Practice Activity Number 19 – The Solution
Section 26: Part 3 Level 4 – Mathematical functions
Lecture 201 Introduction to mathematical functions
Lecture 202 Rounding functions
Lecture 203 Division functions – MOD and QUOTIENT
Lecture 204 SIGN (and use with SWITCH) and ABS
Lecture 205 Exponential functions
Lecture 206 Other functions
Lecture 207 Practice Activity Number 20
Lecture 208 Practice Activity Number 20 – The Solution
Section 27: Part 3 Level 5 – Text functions
Lecture 209 Text searching
Lecture 210 Text extraction and substitution
Lecture 211 Text conversion
Lecture 212 Other functions
Lecture 213 Practice Activity Number 21
Lecture 214 Practice Activity Number 21 – The Solution
Section 28: Part 3 Level 6 – Information Functions
Lecture 215 ISERROR and LOOKUPVALUE
Lecture 216 Other functions
Lecture 217 Practice Activity Number 22
Lecture 218 Practice Activity Number 22 – The Solution
Section 29: Part 3 Level 7 – Filter and Value Functions
Lecture 219 RELATED – Flatten out a parent-child hierarchy
Lecture 220 Design a data model that uses a star schema
Lecture 221 RELATEDTABLE and COUNTROWS
Lecture 222 Context
Lecture 223 ALL
Lecture 224 FILTER
Lecture 225 CALCULATE
Lecture 226 ALLEXCEPT
Lecture 227 ALLSELECTED
Lecture 228 Other functions
Lecture 229 Practice Activity Number 23
Lecture 230 Practice Activity Number 23 – The Solution
Section 30: Part 3 Level 8 – Time Intelligence Functions
Lecture 231 Date and Time Functions
Lecture 232 FIRSTDATE, LASTDATE
Lecture 233 Start of… and End of…
Lecture 234 Previous… and Next…
Lecture 235 DATESINPERIOD
Lecture 236 DATESMTD, DATESQTD, DATESYTD, TOTALMTD, TOTALQTD, TOTALYTD
Lecture 237 Opening Balance and Closing Balance
Lecture 238 Semi-additive Measures
Lecture 239 SAMEPERIODLASTYEAR and PARALLELPERIOD
Lecture 240 Other Time Intelligence Functions
Lecture 241 Practice Activity Number 24
Lecture 242 Practice Activity Number 24 – The Solution
Section 31: Part 3 Level 9 – Other Modeling and DAX Topics for the exam
Lecture 243 Create calculated tables
Lecture 244 Create a common date table
Lecture 245 Define role-playing dimensions
Lecture 246 Resolve many-to-many relationships – Joint Bank Accounts
Lecture 247 Resolve many-to-many relationships – Different types of granularity
Lecture 248 Identify poorly performing measures, relationships, and visuals
Lecture 249 The Optimize menu
Lecture 250 Improve cardinality levels through summarization and by changing data types
Lecture 251 End of Part 3
Section 32: Part 4 Section 1 – An Introduction to the Power BI Service
Lecture 252 Welcome to Part 4: The Power BI Service
Lecture 253 Introducing The Power BI Service
Lecture 254 Logging into Power BI Service and a quick look around
Lecture 255 Power BI Terminology
Lecture 256 Datasets and Reports in the Power BI Service
Lecture 257 Yet another update!
Lecture 258 Get Data – Importing Your Data as a Dataset
Lecture 259 Get Data – Importing your data as a Workbook
Lecture 260 Other ways to Get Data
Lecture 261 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 262 Signing up for Power BI Pro
Lecture 263 Adding new users
Lecture 264 Creating a new report
Lecture 265 Sharing my new report
Section 34: Part 4 Section 3 – Row Level Security
Lecture 266 Adding role-based Row Level Security
Lecture 267 Adding Dynamic Row Level Security
Lecture 268 Testing Dynamic Row Level Security in the Power BI Service
Section 35: Part 4 Section 4 – Dashboards
Lecture 269 Differences between dashboards and reports
Lecture 270 Manage Tiles on a Dashboard, Set Mobile View, and other Tiles options
Lecture 271 Dashboards: Options
Lecture 272 Configure Subscriptions
Lecture 273 Pin a Live Report Page to a Dashboard
Lecture 274 Use the Q&A Feature
Lecture 275 Add a Dashboard Theme
Lecture 276 Apply or Change Sensitivity Labels
Lecture 277 Configure Data Alerts
Section 36: Part 4 Section 5 – Manage datasets
Lecture 278 Analyze in Excel
Lecture 279 Promote or Certify (Endorse) a Dataset
Lecture 280 Manually Refreshing data in the Power BI Service
Lecture 281 Data Gateways; Providing Access to Datasets
Lecture 282 Where is Scheduled Refresh?
Lecture 283 Configure a Dataset Scheduled Refresh
Lecture 284 Configure Incremental Refresh Settings – Step 1
Lecture 285 Configure Incremental Refresh Settings – Step 2
Section 37: Part 4 Section 6 – Create and manage workspaces
Lecture 286 Create and Configure a Workspace
Lecture 287 Assign Workspace Roles
Lecture 288 Providing Access to Datasets
Lecture 289 Configure and Update a Workspace App
Lecture 290 Promote or certify Power BI report or app
Lecture 291 Publish, Import or Update Assets in a Workspace – Publish securely
Lecture 292 Publish reports on the web, so the public can see
Section 38: Part 4 Section 7 – Other Power BI Service Topics
Lecture 293 Create a PivotTable from a Power BI dataset in Excel
Lecture 294 Use or create a dataflow
Lecture 295 Creating Scorecards and Metrics
Lecture 296 Sharing Scorecards and Metrics
Lecture 297 Using Scorecards and Metrics
Section 39: Not needed for the PL-300 exam
Lecture 298 Not needed for the PL-300 exam
Lecture 299 Implement Object-Level Security
Lecture 300 Drillthrough from another report
Lecture 301 Export Data
Lecture 302 Recommend a Development Lifecycle Strategy
Lecture 303 Identify downstream dataset dependencies
Lecture 304 Personalize visuals
Lecture 305 Dataflow Scheduled Refresh and Endorsement
Lecture 306 Connect to a dataset using the XMLA endpoint
Lecture 307 Configure large dataset format
Lecture 308 Dashboard Data Classifications
Section 40: End of Part 4
Lecture 309 End of Part 4
Section 41: Well done
Lecture 310 That’s almost it for the Power BI Service
Lecture 311 Congratulations for finishing the course!
Section 42: Bonus Lecture
Lecture 312 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.
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https://www.udemy.com/course/70-778-analyzing-and-visualizing-data-with-power-bi/

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