Master in Microsoft Power BI Desktop and Service
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More than +70,000 satisfied students worldwide have enrolled in this course, writing thousands of 5-star reviews.
“I recommend this course for anybody starting with Power BI. It touches all aspects of the desktop and online tool for visual development. If multiple data source examples are included then it would be very complete (like data gateway, data flow, etc.). Given the scope of the course, I still considered this one of the best available. I am able to follow at 2x speed and complete the course.”
Vidya L
“If you want to know all about PowerBi, then this course for you. Concepts are explained in detail & simple as well, which makes us understand the concepts clearly. I strongly recommend this course for beginners, go for it !!!. Happy learning !!! Special Thanks to Navya Mam, for making this course and boosting my career skills.”
Sundaram Subramanian
“The instructor has done a very good job by explaining all the features of Power BI in a much simpler way which anyone with any experience can understand easily. I am really happy and have all the required knowledge to implement for the real-time project.”
Shani Jaiswal
“I think covering the entire (in true sense end to end) tool with an example makes a first-time viewer like me a good hold and develops an encouragement for its use. Nicely covered and an informative tutorial!”
Shreyas Shringi
“This is an excellent course to learn Power BI, its components, and various functionalities. All the modules are very clearly explained with examples.”
Chiranjeevi Rao Boddu
“What a great course! The instructor was so detailed, showing us how to perform various functions from manual to automated. The case studies were very real and I can vouch for that as a data scientist with a business background. It is obvious that the lesson planning was done meticulously and if I could rate this 6 stars, I would.”
Len Kwok
“One of the BEST resources to learn power Bi that I found in Udemy. thanks a lot and keep it up…”
Naag Sadineni
“Goes in-depth for even a person who just starts with PowerBI can follow. There are some issues with date formatting in few data sets (different sheets had different date formats), which I solved using the tips provided on date formatting in the 14 and 15 points. All in all very helpful for a person who is starting with PowerBI.”
Yasintha Jayaratne
“Excellent course, excellent teacher. I appreciate following this course because the teacher knows and explains well the concepts.”
Abdoul Traoré
And many thousands more…
Course Description
This Microsoft Power BI course will help you to become a Power BI expert. It will enhance your skills by offering you comprehensive knowledge on Power BI Desktop, Power BI Online, and the required hands-on experience for solving real-time industry-based Power BI projects.
As we progress through this course, you’ll learn to unleash the capabilities of Power BI to perform a comprehensive analysis of data from multiple sources and present the data using the perfect visualization.
In this course, you will gain an understanding of the concept and working of Power BI Desktop and Power BI online services.
- You will learn how to connect Power BI to different data sources.
- You will be able to transform your data using Power Query and create data models.
- You will also level-up your data analysis skills using DAX and create calculated columns and measures.
- With the help of Reports and Visualization in Power BI, you will be able to present your data in an efficient and interactive way.
- And lastly, you will learn how to publish your reports and dashboards to the Power BI online service.
Why Learn Power BI?
Power BI is a business intelligence tool by Microsoft that provides analytics services. It provides interactive dashboards and visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on anyone else as Power BI’s artificial intelligence is there to help you out. Power BI provides cloud-based BI services – known as Power BI Services, along with a desktop-based interface called Power BI Desktop. It offers Data modeling capabilities along with data preparation, data discovery, and interactive dashboards.
Why should you take up this Power BI course?
- Worldwide Business Intelligence and Analytics Market to grow to $22.8 billion in the next 2 years – Gartner.
- 70% of leading companies say that analytics is integral to how they make decisions – IBM Survey
- A Senior Business Intelligence Analyst can earn $89,000 in the United States – Payscale
You get lifetime access and a 30 day, 100% money-back guarantee!
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1
Introduction to Business IntelligenceIn this lecture, you will get an introduction to Microsoft Power BI and also recognize the five Whats that Power BI helps us answer.
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2
The Relation Between Business Intelligence and Data Warehouse
In this lecture, you will understand what an ETL (Extract, Transform, Load) Process is and the relationship between Business Intelligence and data warehouse.
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3
Power BI Overview & Installation
In this lecture, you will be introduced to the different components of Power BI and then taken through step-by-step on how to install Power BI desktop.
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4
Introduction Power BI Desktop
In this lecture, you will be taken through the Power BI Interface and understand the Power BI settings.
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5
Knowledge Check
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6
Connecting with Data
In this lecture, you will be given a brief introduction to connecting data and also explore the different file formats and different data sources that can be connected to Power BI.
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7
Connect to Excel in Power BI Desktop
In this lecture, you will learn how to connect Excel File to Power BI desktop
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8
Connect to CSV files in Power BI Desktop
In this lecture, you will learn how to connect CSV or Text File to Power BI desktop
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9
Connect to SQL Server in Power BI Desktop
In this lecture, you will learn how to connect SQL Server to Power BI desktop
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10
Connect to a Web page from Power BI Desktop
In this lecture, you will learn how to connect data on web to Power BI desktop
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11
Enter data directly into Power BI Desktop
In this lecture, you will learn how to manually enter data into Power BI desktop
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12
Knowledge Check
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13
Downloadable resources for Hands-on Excercise -
14
Introduction to Power Query
In this section, we'll look at how to transform data using Power Query. It is very important to transform or edit your data before actually loading it to your Power BI to create an effective report and visualization.
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15
Query Editor
In this lecture, we will look into the working of a query editor.
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16
Data formatting Troubleshoot- Option 2
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17
Data formatting Troubleshoot - Option 1 (recommended)
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18
Text Transformations
In this lecture, we will look into how to perform text transformation on a column in Query Editor.
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19
Number Column Calculations
In this lecture, we will look into how to perform number calculations on a column in Power Query Editor.
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20
Data Type
In this lecture, we will look into how to identify the data types and how to change from one data type to another.
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21
Date and Time Calculations
In this lecture, we will look into the Date transformation, group by, and conditional column options in Power Query.
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22
Append Queries and Merge Queries
In this lecture, we will look at how to append queries, merge queries, and to combine multiple workbooks using folder options.
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23
Data Source Settings and Refresh Setings
In this lecture, we will look at features of Data source settings and Refresh settings options in Power BI.
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24
Power Query Data Formatting
In this lecture, we will look into Data formatting which includes Date formatting, Currency formatting, and presenting our data in the form of a map.
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25
Hierarchy Creation in PowerBI
In this lecture, we will look Hierarchy creation and its levels.
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26
Knowledge check
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27
Data Modeling Introduction
In this lecture, let's do some analysis on data present in the tables to create a Data Model.
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28
Primary key vs Foreign Key
In this lecture, we will look primary and foreign key concepts.
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29
Relationship build, Edit, Delete
In this lecture, we will look at how to create, edit, and delete a relationship.
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30
Snowflake Scheme
In this lecture, we will look into Snowflakes scheme.
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31
Active vs In Active relationship
In this lecture, we will look into how to activate and inactivate relationships in Power BI.
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32
Relationship Primary key with multiple foreign keys from different data
In this lecture, we will look into how to create relationships where a primary key is related to multiple foreign keys, create reports and dashboards.
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33
Knowledge Check
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34
Data Analysis Expression (DAX)
In this lecture, let's have an introduction on Data Analysis expression concepts in Power BI.
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35
Creating Calculated Columns, Creating Measures
In this lecture, we will explore at how to create calculated columns and calculated measures.
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36
DAX Date and Time Functions
In this lecture, let us look at DATE and Time functions in New Column and New Measure that can be used to create reports in Power BI.
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37
DAX Text Functions
In this lecture, let us look at some of the commonly used Text functions in Power BI.
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38
DAX Logical Functions
In this lecture, let us look at DAX logical functions 'AND' and 'OR' in Power BI.
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39
DAX Related Function
In this lecture, let us look at how RELATED function is used in Power BI.
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40
DAX Implicit Vs Explicit Measures
In this lecture, let us look into implicit and explicit function measures in Power BI.
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41
DAX Statistical Functions
In this lecture, let us look at the DAX statistical functions in Power BI.
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42
DAX Filter Functions
In this lecture, let us look at the DAX filter functions in Power BI.
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43
DAX X-factor Functions
In this lecture, let us look at the X-Factor functions in Power BI.
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44
DAX Time Intelligence Functions
In this lecture, let's look into Time intelligence functions in DAX.
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45
DAX Rank Functions
In this lecture, let's look into DAX Rank functions with their representations in Power BI.
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46
New Table and Quick Measure
In this lecture, let's look into New Table and Quick Measure features in Power BI.
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47
Knowledge Check
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48
Reports and Visualization types in Power BI
In this lecture, let's have an introductions on Reports and Visualization types in Power BI.
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49
Page Settings
In this lecture, let's look at Page settings and it's formatting options.
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50
Getting started with color formatting and axis properties
In this lecture, let's look at Color formatting and axis properties.
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51
Customize Visualization and X-axis and Y-axis properties
In this lecture, let's look at how to customize Visualizations and format X-axis and Y-axis fields and properties.
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52
Filters in Power BI
In this lecture, let's look at various filter options available in Power BI.
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53
Slicers in Power BI
In this lecture, let's looks at Slicer features in Power BI and how they help to filter the data.
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54
Table and Matrix
In this lecture, let's look at how Tables and Matrix helps in Visualization and reports.
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55
Conditional formatting on visuals
In this lecture, let's look at Conditional formatting to visuals.
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56
Card and Multi-row card
In this lecture, let's discuss on Card, Multi-row card, and KPI in Visualizations.
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57
Treemap
In this lecture, let us discuss about Treemap visualization.
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58
Combo Chart
This lecture covers Combo Chart in Power BI, which is a combination of more than one chart. You will learn how to add a line chart to depict the percentage of revenue growth and change the color, font, and background of the chart. The lecture also explains how to add data labels and borders to the chart.
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59
Line chart, Area chart, and Stacked area chart
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60
Gauge chart
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61
KPI
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62
Drill through
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63
Map and Filled map
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Pie chart and Doughnut charts
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Ribbon charts
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66
Waterfall Chart
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Funnel chart
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68
Import Data model to Power BI desktop
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69
Phone layout
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70
Bookmark
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71
Knowledge Check
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72
Comparing Power BI desktop and Power BI Service
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73
Sign in to Power BI
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74
Power BI Service walkthrough
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75
Publishing a report from Power BI desktop to Power BI Service
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76
Create a Dashboard in Power BI Service
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77
Power BI Service Workspace UI
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78
Edit a Report in Power BI Service
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79
Power BI Report - Reading View
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80
Power BI Report - Usage Metrics
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81
Analyze in Excel
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82
Power BI Report - Quick insights
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83
Dashboard walkthrough
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84
Add Tile in Dashbaord
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85
Q and A
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86
Dataset Settings
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87
Get More Visuals
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88
Row-level security with Power BI
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89
Knowledge Check
