Sales data Analysis in Python
Hybrid
0.32 hours
English
Data & Engineering
Course Overview
This course focuses on mastering sales data analysis in Python, especially for large datasets. With over 11,000 data points, you will learn how to clean, analyze, and visualize data from an Indian sales dataset containing customer information, product details, order data, and more.
Throughout this course, you'll be using libraries like Seaborn and Matplotlib to generate impactful graphs and identify key data patterns. You’ll be taught to:
- Clean and prepare the dataset for analysis.
- Extract useful patterns from the data, including identifying profitable products and customer behavior.
- Create interactive visualizations to highlight trends in sales.
- Recognize hidden patterns and make data-driven decisions.
By the end of this course, you'll have a solid foundation in analyzing and visualizing sales data in Python, and you’ll be prepared to apply these skills to real-world data analysis challenges.
What You'll Learn
- Hands-on experience with analyzing large sales datasets in Python.
- Skills in data cleaning and processing to prepare your data for analysis.
- Visualization techniques using Seaborn and Matplotlib to make the data analysis more insightful.
- Pattern recognition skills to identify trends and draw meaningful conclusions from sales data.
599 THB
Udemy
https://www.udemy.com
Skills You'll Gain:
Data Visualization
Pattern Recognition
Data Cleaning
