Data Storytelling
Two sessions Sept 12 & 14
 

It’s not enough to just analyze data; you need to know how to communicate the story it tells in a clear, compelling manner—a skill called data storytelling

The Data Storytelling workshop teaches the fundamentals of effective visualization, with emphasis on building a compelling narrative around the data insights you want to communicate. You’ll learn to understand the context, choose an effective visual, identify and eliminate clutter, focus attention, and tell a story. These lessons are made concrete through numerous real-world examples, and participants get hands-on practice in an interactive session.  The goals of this workshop is to enable you to bring data to life and use it to communicate a story to an audience, with a focus on simplicity and ease of interpretation.

There are no pre-requisites for this course.

Click here for details   
 

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Machine Learning Operations (ML OPS)
Sept 20-29
 

Learn how to free-up Data Science time for more model building and less model support.

This course is for teams looking to scale their Data Science functions  while increasing the number and performance of models in production.  MLOps is the best practices and standards to deploy, monitor, and  improve A.I. models. Students learn an overview of MLOps and how to  apply best practices for your team. Learn the terminology and concepts of enterprise MLOps, including process, roles, and best practices.

• A.I. Architecture: Learn to design, architect, and deploy deep learning applications.
• A.I. Pipelines: Build automated model pipelines for continuous training, integration, and deployment.
• A.I. Monitoring: Measure, monitor, and improve model performance to maximize impact and R.O.I. throughout the model’s life cycle. 

Click here for details

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For a complete analytics training schedule and certificate details, visit
www.business.uc.edu/analytics-training

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