Ernst & Young x Data Society
Data Science Training Program

Supercharge your data skills as part of this virtual live instruction academy. In addition to classes, students will work with instructors and teaching assistants to deliver a capstone project to improve the way your team works with data.
Advanced Data Science Bootcamp
Limited Availability
Evolve your data science skills to surface insights and action from your most extensive and complex datasets. This course builds on existing Python skills and explores artificial neural networks, scalable deployments, and how to build deep learning models on Keras.

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Intermediate Data Science Bootcamp

Build on your foundational Python skills and explore advanced classification techniques and intermediate text mining methods to build the basics of machine learning models.

Advanced Data Science Bootcamp

A natural segue to the Intermediate Bootcamp, this course covers artificial neural networks, building scalable computationally complex models, and deploying deep learning models using Keras.

Extended Data Science Bootcamp

This election is the combined experience of the Intermediate Data Science Bootcamp and the Advanced Data Science Bootcamp.

Data Visual Design & Storytelling

Learn the basics of data visualization, recognize misleading and inaccurate charts, create compelling graphs, and create narratives that surface insights to drive decisions.

Intermediate Data Science Bootcamp

Hours of Instruction: 32 Hours
Duration of Bootcamp: 36 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 7/6/21 – 9/9/21
Registration Deadline: 7/5/21
Download the syllabus

Text Mining

Learn to prepare data for text mining. Integrate into commercial applications. Extract key summary metrics and words from a corpus of documents.

Advanced Classification

Learn to make your classification model perform better and choose your methods and parameters based on the problem at hand. Logistic Regression as it relates to neural networks. Ensemble methods using Random Forest.

Advanced Data Science Bootcamp

Hours of Instruction: 32 Hours
Duration of Bootcamp: 36 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 6/29/21 – 9/2/21
Registration Deadline: 6/18/21

Model in Spark

Learn to optimize code and speed up data processing using Spark. Explore best practices and how to use distributed computing.

Deep Learning

Learn the foundations of this complex and exciting topic including CNN & RNN. Build powerful predictive systems using deep learning. Automate the analysis of time-series data.

Extended Data Science Bootcamp

This option combines full participation for the Intermediate and Advanced Bootcamps
Hours of Instruction: 64 Hours
Duration of Bootcamp: 72 Hours
Modality: Virtual, Zoom classroom
Bootcamp Period: 7/6/21 – 11/18/21
Registration Deadline: 6/25/21

Certificate Requirements

  • Students will be required to attend at minimum 13 of the 16 live sessions. Please note: session recordings will be available for two weeks after the instruction date but will not count towards live-instruction attendance.
  • Capstone Projects will require a passing grade.

Questions? Get in Touch

Send us an email:

Ernst & Young

email@email.com

Or contact your Data Society representative:

Data Society

ellen@datasociety.com