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IT: Programming & Software Development
Applied Modeling and Inferential Statistics
Curriculum
1 Section
25 Lessons
30 hours
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Unit 3 — Applied Modeling and Inferential Statistics
25
1.1
t for Two
20 mins
1.2
Using Rattle with iris
20 mins
1.3
Decision Trees in Rattle
20 mins
1.4
Project: Identifying Glass
20 mins
1.5
Support Vector Machines in R
20 mins
1.6
Project: Glass Clusters
20 mins
1.7
Neural Networks in R
20 mins
1.8
Suggested Project: Another Data Set
20 mins
1.9
Quick Suggested Project: Airline Names
20 mins
1.10
Working with ggplot
20 mins
1.11
Working with the Sidebar
20 mins
1.12
A Session with R
20 mins
1.13
More Packages
20 mins
1.14
Putting a Bow On It
20 mins
1.15
Medians: Caught in the Middle
20 mins
1.16
Summarizing
20 mins
1.17
Tuning in the Frequency
20 mins
1.18
Fit to a t
20 mins
1.19
Z Testing in R
20 mins
1.20
Like Peas in a Pod: Equal Variances
20 mins
1.21
Project: A More Complex Decision Tree
20 mins
1.22
Suggested Project: Identifying Mushrooms
20 mins
1.23
Project: House Parties
20 mins
1.24
Project: Banknotes
20 mins
1.25
Suggested Project: Departure Delays
20 mins
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