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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.
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.

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Addison-Wesley - Professional-pandas Data Analysis With Python Fundamentals Tutorial

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2022

Addison-Wesley - Professional-pandas Data Analysis With Python Fundamentals Tutorial

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