Perform exploratory data analysis on retail data with Python
Offered By: Coursera Project Network via Coursera
Course Description
Overview
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
Syllabus
- Project
- In this 6-8-hour Project, you'll conduct an exploratory data analysis using Python and upload your findings to your Coursera profile to showcase to potential employers.
Taught by
Justin Flett
Related Courses
Introduction to Data Science in PythonUniversity of Michigan via Coursera Julia Scientific Programming
University of Cape Town via Coursera Python for Data Science
University of California, San Diego via edX Probability and Statistics in Data Science using Python
University of California, San Diego via edX Introduction to Python: Fundamentals
Microsoft via edX