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Instructor
Jeffrey Lipkowitz, Instructor - Microsoft Azure Power BI

Jeffrey Lipkowitz

Has 10 years of high tech experience in IoT, Internet, Business Intelligence, and Machine Learning. Jeff worked for multinational companies and startups. He earned a graduate degree in Industrial Management from Purdue University, in addition to a Master's in Analytics from University of Chicago.

Instructor: Jeffrey Lipkowitz

Learn the ropes on Power BI, data visualizations and Azure.

  • Understand how to use the Azure portal.
  • Create data visualizations for both self service and corporate.
  • Instructor has 10 years of high tech experience with graduate degree in Industrial Management from Purdue University, in addition to a Master's in Analytics from University of Chicago.

Duration: 2h 26m

Course Description

The course is intended for business analysts or data scientist looking to learn Microsoft Power BI. The course gives an overview of Azure and Power BI and talks about how to get the most of your data. It is designed as a crash course for those looking to get started with Microsoft Power BI and Azure.

What am I going to get from this course?

  • Understand how to use the Azure portal
  • Understand Power BI Desktop
  • Understand Power BI Service
  • Create data visualizations for both self service and corporate 

Prerequisites and Target Audience

What will students need to know or do before starting this course?

  • No prerequisites 

Who should take this course? Who should not?

  • Data Analyst looking to learn Power BI or get started with Azure
  • Data Sciences looking to build their skill set.
  • Anyone interested in learning best practices around reporting

Curriculum

Module 1: Azure Overview

Lecture 1 Introduction
Lecture 2 What is Cloud
Lecture 3 Azure Services - Part 1
Lecture 4 Azure Services - Part 2
Lecture 5 Perform Sentiment Analysis
Lecture 6 Run Docker Containers
Lecture 7 Azure Marketplace - Part 1
Lecture 8 Azure Marketplace - Part 2

Module 2: Azure Power BI Overview

Lecture 9 Azure Pass
Lecture 10 Power Bi: Experience your Data
Lecture 11 Power Bi Architecture
Lecture 12 Basic Concepts - 1
Lecture 13 Basic Concepts - 2
Lecture 14 Q & A section
Lecture 15 Help & Feedback Button

Module 3: Data Sources

Lecture 16 Data Sources

Module 4: Data Refresh

Lecture 17 Data From Database - SQL Data Warehouse

Module 5: Power Bi Data Transformation

Lecture 18 Basic Transformations
Lecture 19 Conditional Columns

Lecture 20 Real World Digital Data
Lecture 21 Challenge of Marketing

Module 6: Power Bi Services

Lecture 22 Dashboards
Lecture 23 Power BI Data Modeling
Lecture 24 Creating Calculated Columns

Module 7: Data Visualization

Lecture 25 Pie & Tree Map
Lecture 26 Clustering

Module 8: History of Data Visualization

Lecture 27 Time Line History
Lecture 28 Power Bi Developer API and Third Party Data Sources
Quiz 1 Final Exam
350