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Perform exploratory data analysis on retail data with Python
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
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Rating | Not enough ratings |
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Length | 2 weeks |
Effort | 8 hours |
Starts | Jul 10 (earlier today) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Justin Flett |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 8 hours |
Starts | Jul 10 (earlier today) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Justin Flett |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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