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Your Team,
Your Location,
Our Instructors

Data Understanding and Preparation for Business Analytics

Duration: One Day Course

Prerequisite: None

Course Outline

One challenge in the data science lifecycle is understanding the problem or opportunity, the next challenge is acquiring, understanding, and preparing data for the modeling phase. This step in the data science process is estimated to take up to 50% of the time allotted for a data science project. This course addresses how to translate the problem statement into data sources, explore the data for relationships and recognize patterns, identify the starting inputs for the model, preparing data, and validating it for the model fitting process.

Your Team Will Learn

  • Understand of the data science project methodology
  • Understand data source identification (align with 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


Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105


"The instructor was very responsive to input from the class and adapted to meet the needs specific to our context. I especially appreciated the many case studies and focus on assessment."

S. Bessias UNC Healthcare

"Very good overall view of DW concepts and provided valuable insight for such a varied audience."

Jerry Bundt Nestle Purina

"This was the best training class I’ve had in my 20 year career."

Tim Grieb Seattle Children’s Hospital

"The instructor did an excellent job and demonstrated an understanding of real world applications."

Sean Dewulf Con-way Freight


Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
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