We know it, you've been watching a lot of YouTube videos and reading many posts and tweets about the power of Python and Pandas for Data Science and Data Analysis. And you're HOOKED!
But the issue is: how can you start applying those skills? Watching videos won't make you an expert Data Scientist, it's like watching a Basketball game, it won't make you a professional basketball player. What you have to do is: PRACTICE!
That's why here we have selected the BEST 12 Practical Projects to practice Data Science and Data Analysis with Pandas, sorted by difficulty levels. They're READY to start and are absolutely FREE! What are you waiting for?
The basics: Working with Series
Series are the fundamental building block of Pandas. A DataFrame is just an array of Series as columns. So, knowing how to work with them, transform them, filter them, etc is CRUCIAL. Here are some amazing projects to practice Series with Pandas:
DataFrames: pandas star datastructure
DataFrames are the main datastructure in Pandas to analyze and work with tabular data. DataFrames are EXTREMELY powerful, we can filter them, query them, plot them, and perform all sorts of operations and transformations: to clean them, to merge them with other data, to store them as different formats, etc.
But you need to practice your DataFrame skills in order to have the fluidity needed in the job. Here are some great Practice Projects to get started:
Data Cleaning with Pandas
Most of the time of Data Scientist is consumed performing Data Cleaning. Here are a few fun projects to apply your data cleaning skills: