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Fetching and Analyzing Warehouse Inventory Data using Python | Set 01
3 Scenarios
1 Hour 10 Minutes
Industry
retail-and-cpg
Skills
approach
quality
data-understanding
data-storage
data-wrangling
programming
data-quality
data-visualization
Tools
python
azure
Learning Objectives
Fetch data from an API and handle responses efficiently
Process and store structured data in a suitable format
Retrieve and validate data from a data lake storage system
Perform analytical operations on the combined dataset
Create data visualizations to derive meaningful insights
Overview
Prerequisites
- Basic proficiency in Python (functions, loops, and error handling)
- Understanding of API requests using the requests library
- Experience working with JSON data (parsing, flattening, and processing)
- Familiarity with data lakes and working with files in cloud storage (ADLS)
- Knowledge of Pandas, Numpy, Matplotlib, etc., for data manipulation and transformation