Mar 15–18, 2020

Hands-on data science with Python

Don Fox (Pragmatic Institute)
Sunday, March 15—Monday, March 16
Location: 211 D

Participants should plan to attend both days of training course. Note: to attend training courses, you must be registered for a Platinum or Training pass; does not include access to tutorials on Monday.

You'll walk through all the steps—from prototyping to production—of developing a machine learning pipeline. After looking at data cleaning, feature engineering, model building and evaluation, and deployment, you'll extend these models into two applications from real-world datasets. All your work will be done in Python.

What you'll learn, and how you can apply it

By the end of this two-day training course, you'll understand:

  • The basics of machine learning, feature engineering, anomaly detection, and recommendation engines
  • The fundamentals of scikit-learn

And you'll be able to:

  • Create machine learning processes with scikit-learn
  • Evaluate machine learning applications to real-world problems

Who is this presentation for?

Data scientists or analysts




  • A basic understanding of Python
  • Familiarity with pandas (useful but not required)

Hardware and/or installation requirements:

  • A laptop


  • Data cleaning
  • Feature engineering
  • Model building and evaluation
  • Deployment

About your instructor

Photo of Don Fox

Don Fox data scientist in residence in Boston for The Data Incubator. Previously, Don developed numerical models for a geothermal energy startup. Born and raised in South Texas, Don has a PhD in chemical engineering, where he researched renewable energy systems and developed computational tools to analyze the performance of these systems.

Conference registration

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