This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization.
Basic Data Processing and Visualization
Basic Data Processing and Visualization
This course is part of Python Data Products for Predictive Analytics Specialization
Instructors: Julian McAuley
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Gain insight into a topic and learn the fundamentals.
200 reviews
Intermediate level
Recommended experience
Flexible schedule
1 week at 10 hours a week
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What you'll learn
Develop data strategy and process for how data will be generated, collected, and consumed
Load and process formatted datasets such as CSV and JSON.
Deal with data in various formats (e.g. timestamps, strings) and filter and “clean” datasets by removing outliers etc.
Basic experience with data processing libraries such as numpy and data ingestion with urllib, requests
Skills you'll gain
Tools you'll learn
Details to know
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Taught in English
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This course is part of the Python Data Products for Predictive Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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PA
Reviewed on Jun 29, 2022
Great content. When you apply yourself to this course , there's no "dirty" data you can't handle.
MZ
Reviewed on Jun 29, 2019
Excellent to start your career in machine learning!!!
LJ
Reviewed on Mar 3, 2021
I wish the lectures are a bit more engaging. But content-wise it is good.
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