Top 15 Python Tips for Data Cleaning - Understanding
Offered By: EuroPython Conference via YouTube
Course Description
Overview
Discover 15 essential Python tips for effective data cleaning and understanding in this 25-minute EuroPython 2020 conference talk. Learn how to tackle common data cleaning tasks such as merging, appending, checking data completeness, validating values, de-duplication, handling missing values, and recoding. Explore techniques using primarily Pandas and Numpy to improve the accuracy of your data analysis. Gain valuable insights for newcomers to data analytics and data science, as well as Excel users looking to transition to Python. Familiarize yourself with basic Python programming concepts to make the most of this informative presentation on enhancing your data cleaning skills.
Syllabus
Intro
Welcome
High Level Overview
Complex Transformations
Context
Materials
Libraries
Mock Data
Preview Data
Viewability Matrix
Fake Data
Jupyter
Taught by
EuroPython Conference
Related Courses
A Brief History of Data StorageEuroPython Conference via YouTube Breaking the Stereotype - Evolution & Persistence of Gender Bias in Tech
EuroPython Conference via YouTube We Can Get More from Spatial, GIS, and Public Domain Datasets
EuroPython Conference via YouTube Using NLP to Detect Knots in Protein Structures
EuroPython Conference via YouTube The Challenges of Doing Infra-As-Code Without "The Cloud"
EuroPython Conference via YouTube