Last updated 1/2023MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 5.90 GB | Duration: 10h 35m

 

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

Import data into Power BI Desktop from a wide variety of data sources

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: meg, 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!)

Detee 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.

This is an introductory course and although it does not assume any prior experience with Power BI, participants will gain much more from the course if they have at least used Power BI a little prior to attending. Participants who have taught themselves Power BI will also benefit from attending as the course will fill-in a number of gaps in their knowledge and will also extend what they know.

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

Microsoft Power BI gives Excel users the power to extract data from multiple sources, link it together, perform calculations, and create powerful visualizations.Microsoft Power BI is an AMAZING cloud-based business analytics service provided by Microsoft that allows users to transform data into rich, interactive visual reports that present a 360-degree business view and improve business decision-making.Microsoft Power BI Desktop is a development platform from Microsoft that allows users to connect to a huge range of data sources, clean and transform messy data, create relationships between data sets, perform calculations and prepare stunning interactive reports.Microsoft Power BI allows users to publish their interactive reports and share certain features of those reports with others. Reports published to the platform can be set to refresh automatically and can be interacted with online using any browser or mobile device.More about this course and StarweaverThis course is led by a seasoned technology industry practitioner and executive with many years of hands-on, in-the-trenches data analysis and visualization work. It has been designed, produced and delivered by Starweaver. Starweaver is one of the most highly regarded, well-established training providers in the world, providing training courses to many of the leading financial institutions and technology companies, including:Ahli United Bank; Mashreqbank; American Express; ANZ Bank; ATT; Banco Votorantim; Bank of America; Bank of America Global Markets; Bank of America Private Bank; Barclay Bank; BMO Financial Group; BMO Financial Services; BNP Paribas; Boeing; a; Citibank; Cognizant; Commerzbank; Credit Lyonnais/Calyon; Electrosonic; Farm Credit Administration; Fifth Third Bank; GENPACT; GEP Software; GLG Group; Hartford; HCL; HCL; Helaba; HSBC; HSBC Corporate Bank; HSBC India; HSBC Private Bank; Legal & General; National Australia Bank; Nomura Securities; PNC Financial Services Group; Quintiles; RAK Bank; Regions Bank; Royal Bank of Canada; Royal Bank of Scotland; Santander Corporate Bank; Tata Consultancy Services; Union Bank; ValueMomentum; Wells Fargo; Wells Fargo India Solutions; Westpac Corporate Bank; Wipro; and, many others.Starweaver has and continues to deliver 1000s of live in-person and online education for organizational training programs for new hires and induction and mid-career and senior-level immersion and leadership courses.If you are looking for live streaming education or want to understand what courses might be best for you in technology or business, just google:starweaver journey builder starweaver[dot]comHappy learning.

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 8 More Complex Visualizations - Part A

Lecture 9 More Complex Visualizations - Part B

Lecture 10 More Complex Visualizations - Part C

Lecture 11 More Complex Visualizations - Part D

Lecture 12 Brig It All Together

Lecture 13 Data Modelling

Section 2: Module 2 - Power BI Data Modeling Example

Lecture 14 Power BI Data Modeling - Part 1

Lecture 15 Power BI Data Modeling - Part 2

Lecture 16 Power BI Data Modeling - Part 3

Lecture 17 Power BI Data Modeling - Part 4

Lecture 18 Power BI Data Modeling - Part 5

Lecture 19 Power BI Data Modeling - Part 6

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 35 Melonhead Farms Case - Part - 2 - Preparing Data

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 in automating the work involved in creating recurring reports and dashboards

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