YoVDO

Conducting Exploratory Data Analysis

Offered By: Coursera Project Network via Coursera

Tags

Data Analysis Courses Python Courses Seaborn Courses Matplotlib Courses pandas Courses Exploratory Data Analysis Courses

Course Description

Overview

Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.

Syllabus

  • Project Overview
    • Conduct exploratory data analysis with a systematic approach to investigate different aspects of your data: comparisons, relationships, compositions, and distributions. This guided project gives you a framework so you can conduct your own exploratory data analysis and make your work more professional and organized. The language is Python and the libraries used are seaborn, pandas, and matplotlib.

Taught by

João Vitor Boverio da Silva Gomes

Related Courses

Inferential Statistical Analysis with Python
University of Michigan via Coursera Data Analyst
Udacity Exploratory Data Analysis with Seaborn
Coursera Project Network via Coursera Analyze Box Office Data with Seaborn and Python
Coursera Project Network via Coursera Statistical Data Visualization with Seaborn
Coursera Project Network via Coursera