XBUS-503 Data Ingestion and Wrangling

School of Continuing Studies

How long?

  • 2 days
  • in person

School of Continuing Studies

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About the course

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

Lawrence Gray

Lawrence Gray is an experienced Data Scientist and Computational Biologist. He is an adjunct faculty member in Georgetown Universitys Data Science Certificate Program, where he teaches Python Basics along with Data Ingestion and Wrangling. Dr. Gray earned his doctorate from the Johns Hopkins Uni...

XBUS-503 Data Ingestion and Wrangling at School of Continuing Studies

From  $833

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Disclaimer

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