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ONSITE EDUCATION

Your Team,
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Anywhere, Anytime

Introduction to Data Engineering

Duration: One Day Course

Prerequisite: None

The first challenge in the machine learning life cycle is understanding the problem or opportunity; the next is acquiring, understanding, and preparing data for the modeling phase. This second step is estimated take more than 50% of the time allotted for a machine learning project. This course addresses how to translate the problem statement, identify data sources, explore data for relationships and patterns, identify the starting inputs for the model, prepare data, and validate it for the model fitting process.

You Will Learn to:

  • Understand the data science project methodology
  • Understand data source identification (i.e., sources aligned with the problem model)
  • Evaluate data findings to determine and validate modeling techniques
  • Review feature selection techniques
  • Understand data preparation techniques (cleansing, formatting, and blending approaches)
  • Plan for data pipelines (proactive and reusable data preparation)
  • Understand data visualization techniques for data understanding and data preparation

Contact Us to Get Started Today

REQUEST INFORMATION

Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105
Email: ybaho@tdwi.org

TDWI Onsite Brochure Download

Download the
Onsite Brochure

Download Now

REQUEST INFORMATION

Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
E-mail: ybaho@tdwi.org
TDWI Onsite Brochure Download

Download the Onsite Brochure

Download Now

Contact Us to Get Started Today