Data Communication & Visualization
Data Science
| Beginner
- 15 Videos | 1h 12m 49s
- Includes Assessment
- Earns a Badge
The final step in the data science pipeline is to communicate the results or findings. Explore communication and visualization concepts needed by data scientists.
WHAT YOU WILL LEARN
-
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
IN THIS COURSE
-
1.Creating a Bubble Plot5m 17sUP NEXT
-
2.Creating Interactive Plots5m 50s
-
3.Effective Communication and Visualization4m 49s
-
4.Correlation Versus Causation5m 39s
-
5.Simpson's Paradox4m 14s
-
6.Presenting Data5m 8s
-
7.Documenting Data Science3m 59s
-
8.Visual Data Exploration4m 14s
-
9.Creating Scatter Plots4m 19s
-
10.Plotting Line Graphs3m 22s
-
11.Creating Bar Charts6m 15s
-
12.Creating Histograms5m 48s
-
13.Creating Box Plots4m 44s
-
14.Creating Network Visualizations5m 41s
-
15.Exercise: Create a Scatter Plot3m 30s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
