Power BI MasterClass: Learn Data Analytics with Power BI

Power BI MasterClass: Learn Data Analytics with Power BI

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 65 lectures (12h 18m) | Size: 6.14 GB

Get started quickly with Visuzlization, Joins, DAX, Data Modelling with Microsoft Power BI

What you’ll learn:
Automate Manual reporting Process using Microsoft Power BI
Master DAX for Power BI Desktop
Create Stunning reports for stakeholders
Form Relationships in your data and learn about Data Modelling
Transform Datasets from Multiple sources
Build Dashboard using COVID_19 Dataset and set up for daily refresh

No Prerequisites.

Have you heard that Data Science is the sexist job of the 21st century? That is because Data Analysts, Business Intelligence Analysts and pretty much anyone working with Data is in high demand. Companies are constantly searching for ways to make better and faster decisions and to do this, they rely heavily on data. This Power BI course is designed to arm you with the knowledge you need to go from raw data to insights and taught in a way that explains complex concepts in a simplified manner.

In this course, we utilize Adventure works Database and will download SQL Server and we will cover the following

Data Connections where we bring in Data from different sources (Facebook, website, Odata, Csv,excel and Databases)

Data Transformations where we actually cleanse the data

Data Joins where we join data from multiple table into one source

Charts where we try to create as many beautiful visuals as we can

Filtering Data

Data Modelling where we talk about Cardinality, Relationships and Data Models

DAX in Power BI where we talk about different functions to create calculations

CAPSTONE Project where we analyze COVID_19 data set

This course is action packed and over 12 hours long. I hope you enjoy the course as much as I enjoyed teaching it.



Who this course is for
Beginners Interested in Business Intelligence
Beginners interested in Data Analysis
Beginners interested in Data Visualization


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