Data Science with Azure ML

£195.00

What Will You 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

Category:

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.

INSTRUCTOR

MANUELMANUEL

Data Strategist
As a Training Content Manager with Pragmatic Works, Manuel uses his knowledge with the BI Stack (SSRS, SSIS, SSAS) to deliver exciting and engaging content. He also has experience with T-SQL, DAX and Power Pivot and is always looking to expand his knowledge. A native of Puerto Rico, Manuel graduated from the University of Central Florida and loves being involved in the world of Business Intelligence.

 

WHAT TO KNOW BEFORE THE 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

Duration: 7:29:06
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.
Data Science with Azure ML - What do you need to get started
Module 00 - Class Introduction
07:30
Module 01 - Introduction to Data Science
41:38
Module 02 - Data Science Methodology
26:14
Module 03 - Data Understanding and Preparation
26:24
Module 04A - Introduction to Azure ML (Overview)
13:29
Module 04B - Introduction to Azure ML (ML Studio)
10:38
Module 04C - Introduction to Azure ML (Experiments)
36:11
Module 05 - Azure ML Experiment Work Flow
18:35
Module 06 - Modeling Data With Azure ML
34:53
Module 07 - Deploying Azure ML Models
27:36
Module 08A - Forecasting (Overview)
25:09
Module 08B - Forecasting (Acceleration Experiment)
38:53
Module 08C - Forecasting (Crime Rate Experiment)
38:14
Module 09A - Classification (Overview)
27:31
Module 09B - Classification (Survival Experiment)
42:27
Module 09C - Classification (Click Through Experiment)
33:44
Class Survey

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