Course Outline

Introduction

The data workflow: data source, ETL (Extract, Transform, Load), data warehousing and data analysis

Overview of Power BI Desktop

Power BI Developer Tools

Programming with TypeScript and d3.js

Developing and Distributing Custom Visuals

Developing R Scripts using RStudio

Integrating R Scripts into Power BI Desktop

Developing Custom R Visuals

Developing with the Power BI REST API

Updating the Power BI Dashboard in Real-time

Embedding Dashboard and Reports into an Application with Power BI Embedded

Closing remarks

Requirements

  • Experience working with Power BI and Power BI Desktop
  • Experience with Javascript, Typescript, Node.js and D3.js library
  • Experience with C# in Visual Studio

Audience

  • Developers
  • Architects
  28 Hours
 

Testimonials



Related Courses

Big Data Business Intelligence for Govt. Agencies

 35 hours

Big Data Business Intelligence for Criminal Intelligence Analysis

 35 hours

Business Intelligence in MS SQL Server 2008

 14 hours

Big Data Business Intelligence for Telecom and Communication Service Providers

 35 hours

Datameer for Data Analysts

 14 hours

Power BI Dashboards

 14 hours

Data Analytics Process, Cloud Solutions, and Power BI Solutions

 35 hours

Excel to Power BI

 7 hours

Power BI for Business Analysts

 21 hours

Creating Dashboards Using Microsoft Power BI

 14 hours

Power BI Dashboard Design

 7 hours

Analyzing Data with Power BI

 28 hours

Power BI

 14 hours

Advanced Power BI

 21 hours

PL-300T00: Microsoft Power BI Data Analyst

 21 hours