What you’ll learn
- Understand the basics of Pandas, its data structures, and how to install it.
- Work with different types of data structures in Pandas.
- Use descriptive and inferential statistics methods to analyze data.
- Apply element-wise, row or column-wise, and table-wise function application on data.
- Reindex, sort, and iterate through data using Pandas.
- Use string methods for data cleaning and manipulation.
- Customize display options and data types in Pandas.
- Perform indexing and selecting operations based on labels, integers, or Boolean values.
- Use window functions such as rolling, expanding, and ewm for data analysis.
- Group data based on single or multiple columns, apply aggregation functions, and filter or transform data.
- Work with categorical data, perform methods such as reorder, remove, add, and rename categories, and visualize categorical data using Pandas.
- Visualize data using different types of plots such as line, bar, histogram, scatter, box, area, and heatmap.
- Read and write data in different formats such as CSV, Excel, and JSON using Pandas.
- Work with sparse data and understand its features.
