Getting Started with Pandas for Data Analysis
This course is available only as a part of subscription plans.
This tutorial offers a comprehensive introduction to the powerful pandas library for data analysis built on top of the Python programming language. Pandas represents a great step forward for graphical spreadsheet users looking to grow their data manipulation skills. I like to call it "Excel on steroids".
By completing this workshop, you'll have a strong foundation for using Pandas in your day-to-day data analysis needs. We'll start out with the basics -- importing datasets, selecting rows and columns, filtering rows by criteria -- and progress to advanced concepts like grouping values, joining multiple datasets together, and cleaning text.
Students will be exposed to diverse data sets across different disciplines -- sports, finance, entertainment, and more. The training is open to all industries and is targeted for beginners --- basic Python knowledge is preferred but not required.
DIFFICULTY LEVEL: INTERMEDIATE
Abstract and Author Bio
Before you get started: Prerequisites and Resources
Introduction, Who am I, and What is Pandas?
Jupyter Notebook, Importing Pandas, and Series
Previewing, Sorting and Selecting Series
The DataFrame, Attributes and Methods
Selecting DataFrames and Sorting
Custom Indexing and Selecting by Row and Column
Pivot Tables and Melting
Joining Datasets: Concatenation
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