Microsoft Power BI

Microsoft Power BI Masterclass 2021


Get the very most out of the corporate world’s premier business analytics service by taking this comprehensive Microsoft Power BI course. Part of the Power Platform, the application is intuitive enough to provide impressive interactive visualisations and high-end intelligence capabilities and yet is simple enough for you to quickly create reports and dashboards. 

This Microsoft Power BI tutorial provides the best available tuition and guidance, allowing you to gain the full potential of this invaluable service. Again installation guidance, you will learn how to fully prepare projects, perform expert data transformation, create complex data models, present proficient data visualisation, and provide a narrative for your statistics. You will also be shown how to use Python, DAX, Json, REST API, MySQL, and much more for effective combinations with Power BI.     

This specialised training delivers the core skills and knowledge needed to stand out from others using this service. Reporting and presenting will become a breeze, and you will be a Power BI expert. 

Course design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

Certificate of Achievement

Endorsed Certificate of Achievement from the Quality Licence Scheme

Once the course has been completed and the assessment has been passed, all students are entitled to receive an endorsed certificate. This will provide proof that you have completed your training objectives, and each endorsed certificate can be ordered and delivered to your address for only £129.00. Please note that overseas students may be charged an additional £10 for postage.

CPD Certificate of Achievement from One Education

Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.


This course and/or training programme has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course and/or training programme is not regulated by Ofqual and is not an endorsed lesson. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Method of Assessment

To verify your enhanced skills in the subject, we recommend that you also complete the assignment questions. These can be completed at any time which is convenient for yourself and will be assessed by our in-house specialised tutors. Full feedback will then be given on your current performance, along with any further advice or support.

Why Study This Course

It doesn’t matter if you are an aspiring expert or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an acknowledged certificate attesting to your knowledge.

The Microsoft Power BI is fully available to anyone, and no previous lessons are needed to enrol. All One Education needs to know is that you are eager to learn and are over 16.

Course Curriculum

Section 01: Introduction
Welcome! 00:01:00
What is Power BI? 00:03:00
Download & Installing Power BI Desktop 00:04:00
Getting to know the interface 00:03:00
Mini Project: Transform Data 00:07:00
Mini Project: Visualize Data 00:05:00
Mini Project: Creating a Data Model 00:07:00
Course Outline: What will you learn in this course? 00:05:00
How to learn best with this course? 00:03:00
Section 02: Preparing our Project
Creating our initial project file 00:04:00
Working with the attached project files 00:04:00
Section 03: Data Transformation - The Query Editor
Exploring the Query Editor 00:06:00
Connecting to our data source 00:07:00
Editing rows 00:08:00
Changing data types 00:08:00
Replacing values 00:03:00
Close & Apply 00:03:00
Connecting to a csv file 00:03:00
Connecting to a web page 00:05:00
Extracting characters 00:06:00
Splitting & merging columns 00:09:00
Creating conditional columns 00:06:00
Creating columns from examples 00:09:00
Merging Queries 00:17:00
Pivoting & Unpivoting 00:06:00
Appending Queries 00:08:00
Practice & Solution: Population table 00:15:00
The Fact-Dimension-Model 00:09:00
Practice: Load the dimension table 00:04:00
Organizing our queries in groups 00:03:00
Entering data manually 00:05:00
Creating an index column 00:03:00
Workflow & more transformations 00:05:00
Module summary 00:05:00
Exercise 1 – Instruction 00:02:00
Exercise Solution 00:11:00
Section 04: Data Transformation - Advanced
Advanced Editor – Best practices 00:09:00
Performance: References vs. Duplicating 00:10:00
Performance: Enable / Disable Load & Report Refresh 00:05:00
Group by 00:05:00
Mathematical Operations 00:05:00
Run R Script 00:15:00
Using Parameters to dynamically transform data 00:06:00
M formula language: Basics 00:07:00
M formula language: Values, Lists & Tables 00:14:00
M formula language: Functions 00:13:00
M formula language: More functions & steps 00:05:00
Exercise 2 – Instructions 00:01:00
Exercise 2 – solution 00:05:00
Section 05: Creating a Data Model
Understanding the relationship 00:05:00
Create & edit relationships 00:06:00
One-to-many & one-to-one relationship 00:06:00
Many-to-many (m:n) relationship 00:08:00
Cross filter direction 00:06:00
Activate & deactivate relationships 00:06:00
Model summary 00:03:00
Exercise 3 Create Model 00:02:00
Exercise 3 Solution 00:02:00
Section 06: Data Visualization
Our first visual 00:08:00
The format tab 00:12:00
Understanding tables 00:10:00
Conditional formatting 00:09:00
The Pie Chart 00:06:00
All about the filter visual 00:13:00
The filter pane for developers 00:09:00
Cross filtering & edit interactions 00:04:00
Syncing slicers across pages 00:07:00
Creating drill downs 00:08:00
Creating drill throughs 00:07:00
The tree map visual 00:07:00
The decomposition tree 00:05:00
Understanding the matrix visual 00:05:00
Editing pages 00:07:00
Buttons & Actions 00:09:00
Bookmarks to customize your report 00:10:00
Analytics and Forecasts with line charts 00:10:00
Working with custom visuals 00:07:00
Get data using R Script & R Script visual 00:08:00
Asking questions – Q&A visual 00:04:00
Wrap up – data visualization 00:08:00
Section 07: Power BI & Python
Python in Power BI – Plan of attack 00:03:00
Setting up Python for Power BI 00:03:00
Transforming data using Python 00:11:00
Creating visualizations using Python 00:08:00
Violin plots, pair plots & ridge plots using Python 00:15:00
Machine learning (BayesTextAnalyzer) using Python 00:00:00
Performance & Troubleshooting 00:03:00
Section 08: Storytelling with Data
Introduction 00:01:00
Show Empathy & Identify the Requirement 00:03:00
Finding the Most Suitable KPI’s 00:02:00
Choose an Effective Visualization 00:04:00
Make Use of Natural Reading Pattern 00:03:00
Tell a Story Using Visual Cues 00:05:00
Avoid Chaos & Group Information 00:02:00
Warp Up – Storytelling with Data 00:02:00
Section 09: DAX - The Essentials
Introduction 00:03:00
The project data 00:04:00
Measures vs. Calculated Columns 00:15:00
Automatically creating a date table in DAX 00:08:00
CALENDAR 00:05:00
Creating a complete date table with features 00:04:00
Creating key measure table 00:03:00
Aggregation functions 00:06:00
The different versions of COUNT 00:14:00
SUMX – Row based calculations 00:09:00
Section 10: DAX - The CALCULATE function
CALCULATE – The basics 00:11:00
Changing the context with FILTER 00:07:00
ALL 00:08:00
ALL EXCEPT 00:07:00
Section 11: Power BI Service - Power BI Cloud
How to go on now? 00:03:00
Power BI Pro vs Premium & Signing up 00:04:00
Exploring the interface 00:04:00
Discovering your workspace 00:03:00
Connecting Power BI Desktop & Cloud 00:04:00
Understanding datasets & reports 00:03:00
Working on reports 00:04:00
Updating reports from Power BI Desktop 00:04:00
Creating and working with workspaces 00:07:00
Installing & using a data gateway 00:13:00
Get Quick Insights 00:03:00
Creating dashboards 00:04:00
Sharing our results through Apps 00:10:00
Power BI Mobile App 00:05:00
Creating the layout for the Mobile App 00:04:00
Wrap up – Power BI Cloud 00:07:00
Section 12: Row-Level Security
Introduction 00:03:00
Creating a Row-Level Security 00:05:00
Row-Level Security in the Cloud 00:04:00
Row-Level Security & Data Model 00:05:00
Dynamic Row-Level Security 00:07:00
Dynamic Many-to-Many RLS 00:04:00
Hierarchical Row-Level Security 00:13:00
Section 13: More data sources
JSON & REST API 00:10:00
Setting up a local MySQL database 00:14:00
Connecting to a MySQL database in Power BI 00:05:00
Connecting to a SQL database (PostgreSQL) 00:05:00
Section 14: Next steps to improve & stay up to date
Congratulations & next steps 00:06:00
The End 00:01:00
Resources – Microsoft Power BI Masterclass 2021 00:00:00
Assignment – Microsoft Power BI 3 weeks, 3 days
Order Your Certificate
Order Your Certificate QLS 00:00:00

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