Pandas Data Analysis with Python Fundamentals
3+ Hours of Video Instruction Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data...
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| Format: | Online |
| Sprache: | eng |
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Addison-Wesley Professional
2017
Sebastopol, CA O'Reilly Media Inc. |
| Ausgabe: | 1st edition |
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| Online Zugang: | https://learning.oreilly.com/library/view/-/9780134692272 https://learning.oreilly.com/library/view/-/9780134692272/?ar |
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Tag hinzufügen | Zusammenfassung: | 3+ Hours of Video Instruction Pandas Data Analysis with Python Fundamentals LiveLessons provides analysts and aspiring data scientists with a practical introduction to Python and pandas, the analytics stack that enables you to move from spreadsheet programs such as Excel into automation of your data analysis workflows. In this video training, Daniel starts by introducing Python and pandas and why they are great tools for data analysis. He then covers installing and starting Python. The video then moves into the basics of working with data sets in Python and with pandas, followed by plotting and visualization, data assembly and manipulations, missing data, and tidy data. After watching this video, analysts and those new to data science will understand why Python and pandas are so popular with data scientists and should be able to begin to create automated data workflows. About the Instructor Daniel Chen, trainer and data scientist, is a graduate student in the interdisciplinary Ph.D. program in genetics, bioinformatics & computational biology (GBCB) at Virginia Polytechnic Institute and State University (Virginia Tech). He is involved with Software Carpentry and Data 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 with a certificate in advanced epidemiology and is currently extending his master’s thesis work on attitude diffusion in social networks in the Social and Decision Analytics Laboratory under the Biocomplexity Institute of Virginia Tech. Skill Level Beginner to Intermediate What You Will Learn Installing and starting Python Loading data sets into pandas and beginning to assess and analyze them Using pandas data structures and importing/exporting data Combining multiple data sets Dealing with missing data Tidying and reshaping data Who Should Take This Course Analysts and aspiring data scientists looking to move beyond spreadsheets into automated data workflows. Course Requirements Basic understanding of programming and development Some familiarity with basic data analysis Table of Contents Lesson 1: Installing and Running Python Lesson 1 explains why the Python and pandas combination is great for data analysis. It also shows you how to install Python and the analytics stack and how to run Python. Lesson 2: Pandas Basics Lesson 2 covers some of the initial steps to take after you are given a dataset to ... |
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| Beschreibung: | 1 Online-Ressource (1 video file, approximately 3 hr., 20 min.) |
| ISBN: | 0134692276 |