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.

Perform exploratory data analysis on retail data with Python

Perform exploratory data analysis on retail data with Python

Instructor: Justin Flett
8,983 already enrolled
What you'll 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
Skills you'll practice
- Statistical Visualization
- Data Analysis
- Data Manipulation
- Data Wrangling
- Customer Analysis
- Statistical Analysis
- Plot (Graphics)
- Analytical Skills
- Exploratory Data Analysis
- Data Processing
- Strategic Decision-Making
- Data Preprocessing
- Descriptive Statistics
- Data Visualization
- Matplotlib
- Statistical Methods
- Data Cleansing
- Data-Driven Decision-Making
- Business Analytics
Tools you'll use
Details to know

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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Import required libraries
Load and explore the data
Clean the data
Visualize and analyze the data
Recommended experience
Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook
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Instructor

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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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