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Data science foundations with Python : learn NumPy, Pandas, Matplotlib, and Seaborn.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Geek Bootcamp (Firm), instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
Big data.
Python (Computer program language).
Physical Description:
1 online resource (1 video file (6 hr., 45 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, [2025]
Summary:
This course introduces you to Python programming and its applications in data analysis Starting with the fundamentals you will learn how to work with variables loops conditionals and different data structures like lists tuples sets and dictionaries This ensures you have the foundational skills needed before diving into data science tools. Next you will explore NumPy and Pandas to handle data efficiently You will learn how to create manipulate and analyze arrays and structured datasets performing operations like sorting filtering and statistical analysis Through practical exercises you will understand how these libraries simplify data processing making it easier to manage and analyze large datasets. In the final part of the course you will learn how to visualize data using Matplotlib and Seaborn You will create various types of graphs including line bar scatter and heatmaps to represent data in meaningful ways By the end of the course you will have the skills to work with Python and its data science libraries allowing you to analyze and present data effectively.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781805804710
1805804715
OCLC:
1511278019

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