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
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Perform exploratory data analysis on retail data with Python
8,791 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
- Analytical Skills
- Matplotlib
- Customer Analysis
- Data Wrangling
- Exploratory Data Analysis
- Business Analytics
- Data Cleansing
- Data Analysis
- Plot (Graphics)
- Data Visualization
- Strategic Decision-Making
- Statistical Visualization
- Statistical Methods
- Statistical Analysis
- Descriptive Statistics
- Data Processing
- Data Manipulation
- Data-Driven Decision-Making
- Data Preprocessing
Tools you'll use
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)
See how employees at top companies are mastering in-demand skills
About this Project
Project plan
This project requires you to independently complete the following steps:
Import required libraries
Load and explore the data
Clean the data
Visualize and analyze the data
Offered by
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