Cleaning data with Python

Anand S (~anand40)


2

Votes

Description:

Data quality is a common concern. This talk is about common patterns of data quality errors, how these can be automatically detected in Python, and how they can be fixed (automatically where possible)

Prerequisites:

Prior experience in data sourcing and transformation, no matter how simple

Speaker Info:

Anand is a co-founder of Gramener, a data science company, and an aspiring data storyteller

Speaker Links:

https://YouTube.com/sanand0

Section: Data science
Type: Talks
Target Audience: Intermediate
Last Updated:

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EvelynMinnick
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funen

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