Data Wrangling With Python -

Raw data rarely arrives in the perfect format for your specific model or analysis.

Include methods like .head() , .tail() , and .shape to quickly assess the "shape" and quality of the data. 2. Automated Cleaning & Transformation Data Wrangling with Python

Implement functions like merge() and join() to combine datasets based on common keys (e.g., joining sales data with customer demographics). Raw data rarely arrives in the perfect format

Use NumPy to perform transformations on entire columns at once, which is significantly faster than standard Python loops. 3. Data Structuring & Enrichment Data Wrangling with Python