Introduction
In this course, you will learn how to use various Pandas DataFrame and Series methods to manipulate and analyze data. You will practice a wide range of Pandas functions, including appending data, calculating statistics, handling missing values, and more.
๐ฏ Tasks
In this course, you will learn:
- How to use the Append, Abs, Align, Applymap, Asof, Assign, Backfill, Boxplot, Compare, Convert_dtypes, Corr, Corrwith, Cov, Describe, Droplevel, Duplicated, Filter, From_dict, Get, Head, Idxmax, Idxmin, Info, Interpolate, Keys, Nlargest, Nsmallest, Pop, Reindex, and Append methods on Pandas DataFrames and Series.
๐ Achievements
After completing this course, you will be able to:
- Efficiently manipulate and analyze data using a variety of Pandas DataFrame and Series methods.
- Understand the use cases and applications of each method covered in the course.
- Apply these techniques to your own data analysis projects, improving your data processing and visualization skills.
