From the course: Data Analysis with Python and Pandas

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Introducing the course project

Introducing the course project

From the course: Data Analysis with Python and Pandas

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Introducing the course project

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- [Narrator] Okay, so let's take a look at the course project. The situation, you've just been hired as a data analyst for Maven MegaMart, a multinational corporation that operates a chain of retail and grocery stores. They recently received a sample of data from a new retailer they're looking to acquire, and they need you to identify and deliver key insights about their sales history. Your assignment, your task is to analyze over 2 million transactions by product, household and store to get a better understanding of the retailer's main strengths. From there, you need to review the company's discount scheme to assess whether they can expect to attract customers without losing margin. Your objectives are to use Python to read in multiple flat files efficiently, join tables to provide a single source of information, shape and aggregate sales data to calculate KPIs and visualize the data to communicate your findings. I think you're up for it. Let's go ahead and dive in.

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