Microsoft Power Bi Data Modeling & Data Manipulation

Microsoft Power Bi – Data Modeling & Data Manipulation
Last updated 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

Microsoft Power BI | Data Visualizations | Data Modeling | Data Manipulation | DAX | Business Intelligence.

What you’ll learn

How to join different data sets together, even if they come from different files, databases, or other sources

Clean and transform your data so it’s ready for use with Power BI

Delve into “Get Data” and an introduction to understanding “M” code (Power Query language)

Turn short, wide data tables into long, tall tables and why this is so useful for Power BI

Join multiple data tables together and understanding relationships

Create efficient data models: merging, appending, and structuring your datasets to create the optimal structure

Apply your Power Query skills to Excel and when to choose one over the other

Use different techniques for creating and utilizing a Calendar table that you can use to slice and summarize your reports

Create queries that automatically report errors and missing codes

Automatically combine all the Excel, CSV, or Text files in a folder into one table and see how you could apply this

Apply the principles of filter context, how critical this is for DAX formulas, and how to modify this in calculations to produce the results you need

Use DAX formulas work and how they’re different from Excel (even though they look similar!)

Determine when to use a calculated column in a table and when to write a measure

Create stunning interactive reports and share amazing insights! Power BI gives Excel users the power to extract data from multiple sources, link it together, perform calculations, and create powerful visualizations.

Requirements

A general understanding of databases, Excel formulas, and Excel Pivot Tables is useful though not essential.

Description

Overview

Section 1: Module 1 – Introduction to the Power BI Environment

Lecture 1 Welcome!

Lecture 2 Introduction to Power BI

Lecture 3 Power BI Tools of Power Query and Data Modelling Basics

Lecture 4 Introduction to How Power BI Works

Lecture 5 Functionality and Features of Power Query

Lecture 6 Initial Graphics in Power BI

Lecture 7 First Steps in Complex Visualizations

Lecture 12 Bringing It All Together

Lecture 13 Data Modelling

Section 2: Module 2 – Power BI Data Modeling Example

Lecture 20 DAX Forumlas

Lecture 21 Calculated Columns vs Measures

Lecture 22 Filter Context

Lecture 23 Sharing Reports

Section 3: Module 3 – Creating Interactive Visualizations

Lecture 24 Power BI in the Cloud

Lecture 25 Using Databases with Power BI

Lecture 26 Manipulating Data and Visualizations

Lecture 27 Reporting Examples

Lecture 28 Complex Tables and Relationships

Lecture 29 Consolidating Data from Many Data Sources

Lecture 30 Working with Parameters

Section 4: Module 4 – Power BI Finishing Touches

Lecture 31 Drill-through Filters

Lecture 32 Creating Tool Tips in Power BI

Lecture 33 Themes and Graphics in Power BI

Lecture 34 Adding Questions and Answers in Power BI

Section 5: Module 5 – Power BI Advanced Data Modelling Example

Lecture 36 Advanced Visualizations

Section 6: Closing Remarks

Lecture 37 Take-aways

Excel users & analysts that focus on extracting, re-organizing, and analyzing data,Anyone involved in creating visualizations & data modeling,Anyone interested in saving huge amounts of time in automating the work involved in creating recurring reports and dashboards