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Perform exploratory data analysis on retail data with Python
  • Level Intermediate
  • Duration 3 hours
  • Course by Coursera Project Network
  • Offered by

About

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

Modules

Part 1: Project Scenario

    • 4 Readings
Show info about module content

4 Readings

  • Getting Started
  • Prerequisites & Supporting Content
  • The Project Scenario
  • See Example Projects

Part 2: Build Your Project

    • 4 Readings
    • 1 Plugin
    • 1 Lab
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1 Labs

  • Option A: Using Coursera's Jupyter Notebook Environment

4 Readings

  • Choose Your Platform
  • Option B: Working Off-Platform
  • Feeling stuck? Here are some helpful resources
  • Review Your Project Checklist

Part 3: Sharing with Employers

    • 1 Readings
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1 Readings

  • Learn how Coursera helps you showcase your work to employers

Auto Summary

Explore and analyze real-world retail data with Python in this intermediate-level course by Coursera. As a data analyst, you'll gain insights into sales trends, customer behavior, and popular products. Enhance your skills in Python, Numpy, Matplotlib/Seaborn, and Git over 180 minutes. Free subscription available. Perfect for aspiring data analysts looking to demonstrate their analytical prowess and critical thinking.

Justin Flett
Instructor

Justin Flett