Introduction to Machine Learning Workshop 

Tuesday, March 23rd at 9:00 am - 11:00 Am Est 

Virtual Event

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If you’ve struggled to find ways to use machine learning or the technology seems out of reach, you’re not alone. Our data scientists are excited to provide you with their expansive knowledge on machine learning and its potential.

Join CCG for a virtual Machine Learning workshop designed to provide you with an overview of machine learning concepts, real world applications, and some user-friendly tools. We’ll start with the basics and build some machine learning models together. During this workshop you will have the opportunity to see machine learning in action with Azure Machine Learning Studio and Azure Databricks.

By the end of this workshop you'll be able to:

  • Describe what machine learning is and how it fits into the analytics landscape

  • Understand a machine learning approach to statistical modeling 
  • Understand the conceptual methodologies behind the machine learning areas of classification and clustering
  • Describe some of the most common tools for implementing data science and machine learning
  • Build a model using Azure's citizen data science tools 
  • Identify use cases for your organization


  • Machine Learning 101

  • Hands On With Azure Machine

  • Learning Designer

  • Microsoft’s Data Science & Machine
    Learning Portfolio

Read the full Machine Learning 101 Workshop brochure

Can’t attend this scheduled workshop?  Take a peek at other upcoming CCG Analytics events and workshops.

Meet the speaker:

Brian Beesley
Director of Data Science, CCG

Brian Beesley_MSFT Page

Brian Beesley is the Data Science Practice Director at CCG. He has developed data science and machine learning products for clients in the healthcare, retail, financial services, professional services, non-profit, and manufacturing industries, and he’s also helped national and international banking organizations manage their quantitative programs by building the processes and governance around statistical applications.

register for workshop