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Data Science with Azure ML

Part Of The On-Demand Courses

WHAT YOU'LL LEARN

  • How data science and machine learning assist organizations to increase profits, reduce costs and identify significant opportunities
  • How to gain firsthand exposure to the intricacies of the data science process and how to successfully harness machine learning to convert data into actionable business insight
This course includes:
  • Course Description
  • Outline
  • Instructor
  • System Requirements
  • What to Know Before Class

Course Description

Cash registers, websites, patients, employees, customers, students, machines, warehouses and nearly every other aspect of the modern business world generate enormous amounts of data. Hiding within these ever-increasing mountains of data are patterns that can optimize nearly every business decision. Knowing how to find and leverage these patterns is a skill set that is in high demand and will remain there indefinitely. Data science and machine learning are the core components used to understand, transform, model and execute on those data patterns.

 

Click here for a downloadable PDF

Outline

 

Module 00 | Class Introduction
07m 30s total

 

Module 00A | Class Introduction
07m 30s

 

Module 01 | Introduction to Data Science
41m 38s total

 

Module 01A | Introduction to Data Science
41m 38s

 

Module 02 | Data Science Methodology
26m 14s total

 

Module 02A | Data Science Methodology
26m 14s

 

Module 03 | Data Understanding and Preparation
26m 24s total

 

Module 03A | Data Understanding and Preparation
26m 24s

 

Module 04 | Introduction to Azure ML
60m 18s total

 

Module 04A | Introduction to Azure ML Overview
13m 29s

 

Module 04B | ML Studio
10m 38s

 

Module 04C | Introduction to Azure ML – Experiments
36m 11s

 

Module 05 | Azure ML Experiment Work Flow
18m 35s total

 

Module 05A | Azure ML Experiment Work Flow
18m 35s

 

Module 06 | Modeling Data with Azure ML
34m 53s total

 

Module 06A | Modeling Data with Azure ML
34m 53s

 

Module 07 | Deploying Azure ML Models
27m 36s total

 

Module 07A | Deploying Azure ML Models
27m 36s

 

Module 08 | Forecasting
102m 16s total

 

Module 08A | Forecasting Overview
25m 09s

 

Module 08B | Acceleration Experiment
38m 53s

 

Module 08C | Crime Rate Experiment
38m 14s

 

Module 09 | Classification
104m 43s total

 

Module 09A | Classification Overview
27m 31s

 

Module 09B | Survival Experiment
42m 28s

 

Module 09C | Click Through Experiment
33m 44s

Instructor

MANUEL QUINTANA

Training Content Manager

As a Training Content Manager, Consultant and Trainer with Pragmatic Works, Manuel uses his extensive knowledge of the BI Stack (SSRS, SSIS, SSAS etc.) to deliver exciting and engaging content. He also has experience with T-SQL, DAX, Power Platform and Azure Data Services. Manuel, however, is known for his impressive knowledge of the Microsoft Power BI tool. A native of Puerto Rico, He graduated from the University of Central Florida and loves being involved in the world of business intelligence. Manuel is a thought leader in the BI community.

System Requirements

  • PowerShell 4.0
  • Azure PowerShell cmdlets
  • Access to Microsoft Hyper-V (or other virtualization host) to create Virtual Machines. Hyper-V is available for free with Windows 8 and higher
  • Excel 2013 add-ins for Power Pivot and Power Query

What to Know Before Class

  • A familiarization with analyzing data
  • An understanding of how data can be used to solve problems
  • A basic understanding of SQL
  • A basic understanding of programming
REVIEWS

Manuel is an awesome, excellent, (and add all the synonyms here) trainer!

Anonymous

Great course, need to review again! :-)

Cosmin I.

The instructor has a good pacing in regard to his example explanations.

Anonymous

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