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School of Continuing Studies

XBUS-503 Data Ingestion and Wrangling

Sep 28—Oct 5, 2019
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day
Oct 19—26, 2019
2 daysModules info
Washington, District of Columbia, United States
USD 833
USD 416 per day

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Description

Course Details

Cleaning and formatting data, also known as “data wrangling,” are the most under appreciated yet time-consuming steps in the data science pipeline. In real world analyses, data wrangling can consume up to 80% of project time. During this course, students will learn and apply the Extract/ Transform/ Load (ETL) process used by professional data scientists to clean and prep data sets for analysis.

Course Objectives

Upon successful completion of the course, students will:

  • Understand the time commitment needed for data wrangling
  • Identify data sets that may be time-intensive to clean
  • Efficiently clean data sets of both structured and unstructured data to prepare for analysis
  • Apply the Extract/ Transform/ Load (ETL) process to a data set
  • Better estimate the time required for data wrangling tasks

Experts

Allen is an adjunct faculty at Georgetown University and is currently pursuing a graduate degree in Computer Science at the University of Maryland at College Park with an emphasis on databases and distributed systems. He is also a faculty member at District Data Labs and is employed by a local d...