Perform exploratory data analysis on retail data with Python

Perform exploratory data analysis on retail data with Python

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项目

向雇主展示您的技能，利用行业工具解决现实世界中的挑战

中级等级

推荐体验

8 hours

按照自己的节奏完成

项目

向雇主展示您的技能，利用行业工具解决现实世界中的挑战

中级等级

推荐体验

8 hours

按照自己的节奏完成

目标

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

您将展示的技能

要了解的详细信息

可分享的工作示例

添加至您的 Coursera 个人档案

授课语言：英语（English）

无需下载或安装

使用 Coursera Lab，这是预先配置的浏览器内云工作区（仅在桌面上可用）

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关于此项目

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.

Upon completion, you’ll be able to demonstrate your ability to perform a comprehensive data analysis project that involves critical thinking, extensive data analysis and visualization, and making data-driven business decisions. There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers. ROLE: Data Analyst SKILLS: Python PREREQUISITES: Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook