Microsoft POWER BI Desktop for Business Intelligence & PL300
Duration: 8h 54m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 4.24 GB
Genre: eLearning | Language: English
Microsoft POWER BI Desktop & Service for Business Intelligence & Analytics & PL-300 Exam
What you'll learn
Build professional-quality business intelligence reports from the ground up
Blend and transform raw data into beautiful interactive dashboards
Students will have the required knowledge to dive deeper into Power BI and find out more about its advanced features
Build and optimize data models and DAX measures
Extract, profile, clean, transform, and load data from different sources
Publish reports and dashboards to Power BI Service
Develop the exact skills you need to ace the PL-300 Power BI certification exam
Requirements
Microsoft Power BI Desktop (FREE Download)
This course is designed for PC/Windows users (currently not available for Mac)
For the majority of the course you must have a computer with Windows as operating system
Basic understanding of data analysis is a plus but not required
Description
If you're a data professional or aspiring analyst looking to learn the top business intelligence platform on the market, you've come to the right place.
You want to
analyze data
from single or multiple sources? You want to
create
your individual
datasets
based on these sources and transform your results into beautiful and
easy-to-make visualizations
? You also want to
share your results
with colleagues or
collaborate
on your projects? Finally, you want to be able to
access your data
from multiple devices?
Then the Power BI tools are the tools to choose for you!
POWER BI SKILLS ARE IN HIGH DEMAND
As companies worldwide implement Power BI solutions, there's a big gap in the job market for skilled professionals. People who learn Power BI today, will be first in line for the best jobs tomorrow. Get access to our best-selling Power BI course now and become a highly sought-after Power BI professional.
In this course you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to
fulfill all of the above tasks - and more
. Imagine to quickly
structure your data
, to easily
add calculations
to it and to
create and publish nice-looking charts
in just a few minutes.
This is what you will learn:
Get to know the
different tools
of the Power BI universe and learn how to use them
Understand
Power BI Desktop
and its components
Learn how to use the
Query Editor
to connect Power BI to various source types
,
how to work on the
Data Model
and understand the difference between those two steps
Learn how to filter and format data, how pivoting and unpivoting works
How to work in the
different views of the Data Model
How to create
calculated columns
and
measures
How to build
relationships
between different tables
How to create a report with
different interactive visualization types
Learn how to use
Power BI Pro
to create dashboards and to share and publish your results
How to access your results from multiple devices using
Power BI Mobile
And more!
Who this course is for:
Data analysts and Excel users hoping to develop advanced data modeling, dashboard design, and business intelligence skills
Aspiring data professionals looking to master the #1 business intelligence tool on the market
Students who want a comprehensive, engaging, and highly interactive approach to training
Anyone looking to pursue a career in data analysis or business intelligence
Power BI users looking to sharpen and certify their skills
Aspiring analysts or business intelligence professionals seeking to add industry-recognized credentials to the resume
Anyone looking for a hands-on, comprehensive guide to clearing the Microsoft PL-300 Exam
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ata connectorsStorage & import modesQuery editing toolsTable transformationsConnecting to a databaseExtracting data from the webQA & Profiling toolsText, numerical, date & time toolsRolling calendarsIndex & conditional columnsGrouping & aggregatingPivoting & unpivotingMerging & appending queriesData source parametersImporting Excel modelsSTAGE 2: Creating a Relational Data ModelIn stage 2 we'll review data modeling best practices, introduce topics like cardinality, normalization, filter flow and star schemas, and begin to build our AdventureWorks data model from the ground up