Ementorhub

Exploratory Data Analysis

This course is part of multiple programs. Learn more

Instructors: Roger D. Peng, PhD +2 more

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What you'll learn

Understand analytic graphics and the base plotting system in R

Use advanced graphing systems such as the Lattice system

Make graphical displays of very high dimensional data

Apply cluster analysis techniques to locate patterns in data

Skills you'll gain

Dimensionality Reduction

Exploratory Data Analysis

Color Theory

R Programming

Histogram

Ggplot2

Data Visualization

Data Analysis

Statistical Analysis

Plot (Graphics)

Unsupervised Learning

Box Plots

Graphing

Scatter Plots

Data Visualization Software

There are 4 modules in this course

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.

Week 2

Week 3

Week 4

Explore more from Data Analysis

Conducting Exploratory Data Analysis

Overview of Data Visualization

Exploratory Data Analysis

Visualizing Data in the Tidyverse