Python - Manipulating & Analyzing Data in Pandas DataFrames

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. This 10-video course explores some of the advanced features of Pandas DataFrames, a Python software library used for data manipulation and analysis. To take this Skillsoft Aspire course, learners should have some previous experience using Pandas, be able to load data into data frames, and be able to perform basic data manipulations in a Jupyter Notebook. You will learn to iterate data in DataFrames. This course covers various ways to export data from a DataFrames to Excel files, JSON (Javascript Object Notation) files, and CSV (comma separated values) files. You will learn to sort the contents in DataFrames, and how to utilize different techniques to manage missing data. The course conducts an in-depth examination of using a multi-index to group data. You will learn to merge data residing in different data frames into a single frame by using join and concatenate operations. Finally, since there are some similarities between relational databases and Pandas, you will learn when and where to integrate data by using structured query language (SQL)-like operations.