Pandas Data Cleaning and Modeling with Python
The perfect follow up to Pandas Data Analysis with Python Fundamentals LiveLessons for the aspiring data scientist Overview In Pandas Data Cleaning and Modeling with Python LiveLessons, Daniel Y. Chen builds upon the foundation he built in Pandas Data Analysis with Python Fundamentals LiveLessons. I...
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| Idioma: | Inglés |
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Addison-Wesley Professional
2018.
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| Edición: | 1st edition |
| Colección: | LiveLessons
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631090906719 |
| Sumario: | The perfect follow up to Pandas Data Analysis with Python Fundamentals LiveLessons for the aspiring data scientist Overview In Pandas Data Cleaning and Modeling with Python LiveLessons, Daniel Y. Chen builds upon the foundation he built in Pandas Data Analysis with Python Fundamentals LiveLessons. In this LiveLesson Dan teaches you the techniques and skills you need to know to be able to clean and process your data. Dan shows you how to do data munging using some of the built-in Python libraries that can be used to clean data loaded into Pandas. Once your data is clean you are going to want to analyze it, so next Dan introduces you to other libraries that are used for model fitting. About the Instructor Daniel Y. Chen is a graduate student in the interdisciplinary Ph.D. program in Genetics, Bioinformatics & Computational Biology (GBCB) at Virginia Tech. He is involved with Software Carpentry as an instructor and lesson maintainer. He completed his master’s degree in public health at Columbia University Mailman School of Public Health in Epidemiology, and currently works at the Social and Decision Analytics Laboratory under the Biocomplexity Institute of Virginia Tech where he is working with data to inform policy decision-making. He is the author of Pandas for Everyone and Pandas Data Analysis with Python Fundamentals LiveLessons . Skill Level Beginner to Intermediate Learn How To Use pandas data types Convert data types Use string methods and regular expressions Apply functions to data Aggregate, transform, and filter data Use pandas and Python date and time methods Model data Who Should Take This Course Those new to data science, particularly those with Python programming experience Course Requirements Basic programming skills, particularly in Python Lesson Descriptions Lesson 1: Pandas Data Types These lessons pick up where Pandas Data Analysis with Python Fundamentals LiveLessons left off. You learned the basics of subsetting, combining, and reshaping data. Now you can start learning how to cleaning your data. That begins with learning data types and how to find them in your data. Next comes the converting from one type to another, including converting data into numeric and string values. The lesson finishes with categorical data. Lesson 2: Unstructured Text and Strings in Pandas There are vast stores of data available as unstructured text. Understanding how to work with text data in Python is important when your dataset has text data that... |
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| Notas: | Title from title screen (viewed January 31, 2018). Title from resource description page (Safari, viewed January 31, 2018). |
| Descripción Física: | 1 online resource (1 video file, approximately 3 hr., 39 min.) |
