Panda Tips and Tricks

JOIN US HERE:
https://starweaver.com/on-air/panda-tips-and-tricks/

This Pandas course prepares teaches the fundamentals of data analysis. It shows how to load data, inspect it, deal with missing values, use statistical summaries, plot, pivot and more. This course contains 18 hours of materials, taught by Matt Harrison, a Python and Pandas expert and author.

Following this course students will be able to leverage their skills with pandas to perform powerful data analysis, create plots, clean data, and prepare data for machine learning.

Pandas is a powerful library, but it can be confusing. Fill in the knowledge gaps and understand how Pandas works under the covers. You will come out of this class grokking the syntax, and the best practices for creating beautiful Pandas code. We will also show how to use Jupyter and install additional packages.

This is module #6

Modules
Getting Started – Installation, Jupyter, and Example
Series objects
DataFrame objects
Grouping
Time series
Tips and Tricks
Learning Outcomes
Getting Started – Installation, Jupyter, and Example
Understanding Jupyter and editors
Installing libraries
Overview of functionality of Pandas
Series objects
Basic operations
Aggregation methods
Index manipulation
String manipulation
DataFrame objects
Slicing data
Cleaning data
Boolean arrays and filtering
Plotting
Grouping
Grouping with a column
Grouping with multiple columns, functions, and dates
Pivoting and stacking
Time series
Shifting data
Window operations
Date grouping
Dealing with missing data
Plotting
Tips and Tricks
Apply tricks
Debugging
Testing
Seaborn plotting
Prerequisites
Basic computer knowledge is assumed
Prior programming experience with Python is strongly preferred
Who Should Attend
New Python developers looking to quickly develop and keen understanding of the power of Pandas
Individuals who are familiar with data science and need to understand Pandas