How to Apply Transformations on DataFrame | Python Pandas Tutorial For Data Engineering

Welcome to ITVersity’s ‘Data Analysis Using Pandas’ series, your step-by-step guide to mastering data transformation with Python Pandas!

*What You’ll Learn in This Video:*
✅ How to import data from a CSV file into a Pandas DataFrame.
✅ Creating new columns by applying business logic and transformations.
✅ Techniques for modifying and generating new fields within your dataset.
✅ Preparing transformed data for export to a CSV file.

*Why This Matters:*
Transforming data and applying business logic are critical skills for anyone working with real-world datasets. Whether you’re a Data Engineer, Data Scientist, or Data Analyst, mastering these techniques will help you clean, process, and shape data for meaningful insights.

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