In this project, you'll serve as a data analyst at an online retail company helping interpret real-world data to help make key business decisions. Your task is to explore and analyze this dataset to gain insights into the store's sales trends, customer behavior, and popular products.
Perform exploratory data analysis on retail data with Python
Perform exploratory data analysis on retail data with Python
Access provided by INEFOP - Instituto Nacional de Empleo y Formación Profesional de Uruguay
8,464 already enrolled
Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level
Recommended experience
8 hours
Complete at your own pace
Objectives
Load, clean, analyze, process, and visualize data using Python and Jupyter Notebooks
Produce an end-to-end exploratory data analysis using Python and Jupyter Notebooks
Skills you'll demonstrate
- Data Preprocessing
- Jupyter
- Customer Analysis
- Data Analysis
- Analytical Skills
- Exploratory Data Analysis
- Data Visualization
- Statistical Analysis
- Business Analytics
- Matplotlib
- Trend Analysis
- Data Cleansing
- Python Programming
- Pandas (Python Package)
- Data-Driven Decision-Making
- Skills section collapsed. Showing 11 of 15 skills.
Details to know
Shareable work sample
Add to your Coursera profile
Taught in English
No downloads or installation required
Use a Coursera Lab, a pre-configured in-browser cloud workspace (only available on desktop)
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About this Project
Project plan
This project requires you to independently complete the following steps:
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Import required libraries
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Load and explore the data
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Clean the data
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Visualize and analyze the data
Offered by
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