Loopskey-logo
CourseTechnology

Perform exploratory data analysis on retail data with Python

By External Provider

Price

Free

Go to content

Opens coursera.org in a new tab

Level

INTERMEDIATE

Duration

8 h

About this course

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

What you will learn

  • 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