E-commerce & Data Science Bootcamp

Washington, D.C. Campus

509 7th Street NW, 3rd Floor
Washington D.C. 20004

E-commerce & Data Science Bootcamp | Washington, D.C.

Washington, D.C. Campus

509 7th Street NW, 3rd Floor
Washington D.C. 20004

About this workshop series

The current trend dictates that Data Science and E-Commerce often sit side-by-side. Decisions from a business and marketing perspective are often driven by data and needed in majority of tech organizations to understand their users, analyze and predict integral KPIs. In this interdisciplinary workshop, we will conduct an overview of the E-Commerce Landscape, the use of customer acquisition and engagement marketing, data analysis tools, data science principles relating the role of machine learning in today’s fast paced data-driven world.

We will cover case studies for marketing strategy, discuss the role of data science and apply principles and tools.


  • Overview of the e-commerce landscape and current trends
  • Identifying emerging trends in the e-commerce space as it relates to marketing and data science
  • Evaluating current use cases of the e-commerce landscape for marketing for the purposes of engagement and user acquisition
  • An understanding of basic e-commerce metrics and the ability to track and measure success
  • Applying both data analysis tools and Python to graph, analyze and predict our metrics
  • Using Python’s data framework Pandas and Matplotlib
  • An overview of data science principles and tools relating to machine learning

Prereqs & Preparation

  • Open to all levels
  • Highly recommended: Basic coding (Intro to Coding: HTML & CSS class offered for free at GA)
  • Bring a laptop, writing materials and access to Google docs.

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