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

Social Network Analysis
University of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX