Exploratory Data Analysis
Offered By: Coursera Project Network via Coursera
Course Description
Overview
In this 1-hour long project-based course, you will learn exploratory data analysis techniques and create visual methods to analyze trends, patterns, and relationships in the data. By the end of this project, you will have applied EDA on a real-world dataset.
This class is for learners who want to use Python for applying data visualization and data analysis, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization and analysis project course. Also, this project provides learners with basic knowledge about exploratory analysis and improves their skills in creating maps which helps them in fulfilling their career goals by adding this project to their portfolios.
This class is for learners who want to use Python for applying data visualization and data analysis, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization and analysis project course. Also, this project provides learners with basic knowledge about exploratory analysis and improves their skills in creating maps which helps them in fulfilling their career goals by adding this project to their portfolios.
Syllabus
- Exploratory Data Analysis
- Welcome to this project-based course on Exploratory Data Analysis in Python. In this project, you will learn EDA techniques and create visual methods to analyze trends, patterns, and relationships in the data for your data science projects. By the end of this project, you will have applied EDA on real-world dataset.
Taught by
Roger Peng
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