Data Society

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.

Intermediate Data Science Bootcamp

Limited Availability

After developing a robust foundation in Python and machine learning skills, it’s time to incorporate those algorithms into one of the most powerful and informative topics: text mining. This course builds upon introductory Python and machine learning skills so that practitioners walk away with more advanced techniques they can practice in their work.

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Intermediate Data Science Bootcamp
Intermediate Data Science Bootcamp

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
Intermediate
Advanced Data Science Bootcamp

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.
Advanced
Extended Data Science Bootcamp

Extended Data Science Bootcamp

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

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

Text Mining

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

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

Advanced Data Science Boocamp Model in Spark

Model in Spark

Learn to optimize code and speed up data processing using Spark. Explore best practices and how to use distributed computing.
Advanced Data Science Bootcamp - Deep Learning

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

Extended Data Science Bootcamp

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

Natalie.Raphil@za.ey.com
Or contact your Data Society representative:

Data Society

ellen@datasociety.com
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