Python - Introduction to Pandas and DataFrames

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. This Skillsoft Aspire course explores how to use Pandas, a Python software library, to work with series and tabular data, including initialization, population, and manipulation of Pandas Series and DataFrames. For this 14-video course, learners do not need prior experience working with Pandas, but should be familiar with Python3, and Jupyter Notebooks as a development environment. These data structures simplify various tasks in data analysis. You will learn to define your own index for a Pandas.Series object. Learners will explore Pandas DataFrames, a two-dimensional data structure and containing rows and columns. You will also learn to create a Pandas DataFrames by loading data from a CSV (comma separated values) file. Next, explore how to add and remove data from an existing DataFrames, and how to analyze just a part of the DataFrames. This course examines how to reshape or reorient data, and to create a pivot table. Finally, you will learn to use the concept of multiIndexes, or hierarchical indexes, to represent multidimensional data in a two-dimensional DataFrames.