In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the third of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.



Mastering Data Analysis with Pandas: Learning Path Part 3

Instructor: Ryan Ahmed
Access provided by JNN college of Engineering
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What you'll learn
- Mastering Advanced DataFrame Operations and Filtering 
- Application of a custom-developed function to Pandas DataFrames 
- Advanced DataFrame Manipulations, Merging, concatenation and multi-indexing 
Skills you'll practice
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Pandas DataFrames with Functions 
- Pandas DataFrame Operations Part 1 
- Pandas DataFrame Operations/Filtering part 2 
- DataFrame Concatenation 
- DataFrame Concatenation with Multi-Indexing 
- DataFrame Merging 
Recommended experience
Basic Python Programming
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How you'll learn
- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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