GitHub - theo-liang/Python-Project-Analysis-for-Instacart: This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.

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This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
01 Project Management		01 Project Management
02 Data		02 Data
03 Scripts		03 Scripts
04 Visualizations		04 Visualizations
05 Sent to client		05 Sent to client
README.md		README.md

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Description

This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies. I performed data cleaning, exploratory data analysis, and customer segmentation to identify key patterns and trends. The insights will help Instacart target customer segments with tailored marketing campaigns to enhance product sales and engagement.

Topics Covered

Python, data types, libraries, pandas dataframe, data wrangling, data subsetting, data consistency checks, variable derivation, data aggregation, data visualization with Python

Tools Used

Anaconda, Jupyter Notebook, Python

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This project involved analyzing Instacart's sales data to understand customer purchasing behaviors and optimize marketing strategies.

python pandas-dataframe data-visualization aggregation subsetting datatypes merging-data wrangling-data deriving-new-variables

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Jupyter Notebook 100.0%