Infinite Skills Data Wrangling And Analysis With Python

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Infinite Skills Data Wrangling And Analysis With Python
General:Training

Size: 2.25 GB

Discover the data analysis capabilities of the Python
Pandas software library in this introduction to data
wrangling and data analytics. Designed for learners with
some core knowledge of Python, you'll explore the basics
of importing, exporting, parsing, cleaning, analyzing
and visualizing data

This course is an introduction to Pandas, where you'll
learn to filter, group, match, and join data and then
move on to advanced functions like analyzing trends and
normalizing your data. There is also an introduction to
some nifty skills like web scraping, working with API
data, fuzzy matching, multiprocessing, and analyzing
code performance

Master the basics of Python data wrangling and data
analysis
Discover the Pandas software library and its use as
a data analysis tool
Learn to pull data from disparate sources (Excel
CSV, PDF, APIs, etc.)
Explore web scraping and how to handle encoding and
decoding
Understand how to identify and clean data using
RegEx and fuzzy matching
Sample other data analysis tools like natural
language processing and Numpy
Learn the data visualization capabilities of
Matplotlib and Bokeh

Katharine Jarmul runs kjamistan UG, a Python consulting
training and competitive analysis company based in
Berlin, Germany. She learned Python in 2008 while
working at the Washington Post and is co-author of the
O'Reilly title Data Wrangling with Python: Tips and
Tools to Make Your Life Easier. Originally from Los
Angeles, Jarmul earned an M.A. from American University
and an M.S. from Pace University

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