Introduction
In this course, you will learn how to analyze data using the Pandas library in Python. Pandas is a powerful data manipulation and analysis tool that is widely used in the field of data science.
ðŊ Tasks
In this course, you will learn:
- How to work with Pandas data structures, including Series and DataFrames
- How to perform data manipulation tasks such as filtering, sorting, and grouping data
- How to select and extract data from Pandas DataFrames
- How to create visualizations using Pandas and other data visualization libraries
- How to work with columns in Pandas DataFrames
- How to perform statistical analysis on Pandas data
- How to reshape and combine data tables in Pandas
- How to handle time series data using Pandas
- How to work with textual data in Pandas
ð Achievements
After completing this course, you will be able to:
- Effectively use Pandas to analyze and manipulate data
- Perform common data analysis tasks such as filtering, sorting, and grouping data
- Create informative visualizations to gain insights from your data
- Understand how to work with different data structures and formats in Pandas
- Perform statistical analysis and time series analysis on your data
- Combine and reshape data tables to suit your analysis needs
- Effectively work with textual data using Pandas
