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 second 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 2

Instructor: Ryan Ahmed
Access provided by CMR University
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What you'll learn
- Master data analysis and manipulation in Pandas and Python 
- Define and manipulate Pandas DataFrame 
- Label-based and integer-based DataFrame indexing 
Skills you'll practice
Details to know

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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:
- Introduction to Pandas DataFrame Fundamentals 
- Read CSV and HTML data 
- Write DataFrame into CSV 
- Setting/Resetting Pandas Index 
- Select Columns from a DataFrame 
- Add/Delete DataFrame Columns 
- Label-based DataFrame Elements Selection 
- Integer-based DataFrame Selection 
- Broadcast Operations 
- Sorting and Ordering 
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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