Processing data is used in virtually every field these days. It is used for analyzing web traffic to determine personal preferences, gathering scientific data for biological analysis, analyzing weather patterns, business practices, and on. Data can take on many different forms and come from many different sources. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. It has libraries that can be used to parse and quickly analyze the data in whatever form it comes in, whether it be in XML, CSV, or JSON format. Data cleaning is an important aspect of processing data, particularly in the field of data science.
Processing Data with Python
Taught in English
Instructor: David Dalsveen
6,627 already enrolled
Included with
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Recommended experience
(205 reviews)
What you'll learn
Create a Pandas DataFrame
Clean Data using Pandas
Perform Statistics on Data
Skills you'll practice
Details to know
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Guided Project
Recommended experience
(205 reviews)
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create a Pandas DataFrame
Read Data from Files
Cleaning Data
Data Analysis
Data Subset
Recommended experience
Learners should be familiar with beginning Python and have some experience using an IDE such as Visual Studio.
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Practice new skills by completing job-related tasks.
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Follow along with pre-recorded videos from experts using a unique side-by-side interface.
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Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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