Data Manipulation with Pandas Masterclass
Created by Francesco Mosconi, Data Weekends | Published 5/2021
Duration: 1h 6m | 2 sections | 26 lectures | Video: 1280x720, 44 KHz | 489 MB
Genre: eLearning | Language: English + Sub

Learn the main functions of Pandas for data analysis and visualization in less than 2 hours. Theory and hands-on.

What you'll learn
This is a short masterclass in Pandas, the most famous library for data manipulation in Python.
You will learn what Pandas is, and how it can help you load, manage, and transform tabular data.
Learn to analyze real world data using Python & Pandas.
Import data from multiple sources, clean, reshape, impute and visualize your data.
Use Python and Pandas to select, group and summarize your data.
Decide what data to keep and what to ignore.
Create compelling visualizations using Seaborn and Matplotlib.

Requirements
Previous experience programming in Python is advised to make best use of the masterclass.Some prior experience with tabular data formats such as CSV or Excel is also encouraged.
Description
This masterclass introduces you to concepts and practices for building compelling analyses and dashboards on datasets of any size.  It is designed to be self contained and to be consumed quickly in a single session. It will get you up to speed from zero knowledge of Pandas to understanding how the library operates and using it in several different scenarios.
You will learn:
What tabular data is and where you find it
How Pandas allows you to load from, and save to, multiple data formats
How to use two main components of Pandas: the Series and the DataFrame
The main methods to select, group and summarize your data using Pandas
How to perform complex operations such as pivot tables and split-apply-combine
How to create compelling visualizations using Seaborn and Matplotlib directly from Pandas