Addison-Wesley – Professional-pandas Data Analysis With Python Fundamentals Tutorial-kEISO
English | Size: 2.22 GB
Category: Tutorial
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 & 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 manipulators, 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 create automated data work flows
About the Instructor:
Daniel Chen, trainer and data scientist, is a graduate student in the interdiscplinary Ph.D. program in genetics, bioinform atics & computational biology (GBCB) at Virginia Polytechnic Institute and State University (Virginia Tech). He is involved with Software Carpentry and Data Carpentry as an instructor & 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 & is currently extending his master’s thesis work on attitude diffusion in social networks in the Social and Decision Analytics Labratory under the Biocomplexity Institute of VA Tech
Skill Level – Beginner to Intermediate
What You Will Learn:
Installing and running python
Loading data sets into pandas and beginning to assess & analyze data
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
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