Data Communication and Visualization

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
The final step in the data science pipeline is to communicate the results or findings. In this course, you'll explore communication and visualization concepts needed by data scientists.

Target Audience
Individuals with some programming and math experience working toward implementing data science in their everyday work

Prerequisites
None

Expected Duration (hours)
1.3

Lesson Objectives

Data Communication and Visualization

start the course

choose appropriate visualization techniques

describe the difference between correlation and causation

define Simpson's paradox

communicate data science results informally

communicate data science results formally

implement strategies for effective data communication

use scatter plots

use line graphs

use bar charts

use histograms

use box plots

create a network visualization

create a bubble plot

create an interactive plot

find an appropriate data set in which a scatter plot represents it visually and plot it

Course Number:
df_dses_a09_it_enus

Expertise Level
Beginner