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IT: Programming & Software Development
Data Preparation, Visualization, and Modeling
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1 Section
27 Lessons
30 hours
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Unit 2 — Data Preparation, Visualization, and Modeling
27
1.1
Validating Your Data
20 mins
1.2
Working with Graph Data
20 mins
1.3
Considering the Art of Feature Creation
20 mins
1.4
Setting the Axis, Ticks, and Grids
20 mins
1.5
Creating Advanced Scatterplots
20 mins
1.6
Using Transformative Functions
20 mins
1.7
Defining Descriptive Statistics for Numeric Data
20 mins
1.8
Performing Factor Analysis and PCA
20 mins
1.9
Performing Hierarchical Clustering
20 mins
1.10
Examining a Simple Univariate Method
20 mins
1.11
Moving to Logistic Regression
20 mins
1.12
Cross-Validating
20 mins
1.13
Regularizing Linear Models
20 mins
1.14
Getting Lost in a Random Forest
20 mins
1.15
Getting a Good Start with KDnuggets
20 mins
1.16
Creating a Secure Data Environment
20 mins
1.17
Creating the Data Science Pipeline
20 mins
1.18
Considering Speed of Execution
20 mins
1.19
Installing Anaconda on Linux
20 mins
1.20
Performing Common Tasks
20 mins
1.21
Sending Data in Unstructured File Form
20 mins
1.22
Manipulating Categorical Variables
20 mins
1.23
Performing Operations on Arrays
20 mins
1.24
Defining the Line Appearance
20 mins
1.25
Plotting Time Series
20 mins
1.26
Considering Timing and Performance
20 mins
1.27
Counting for Categorical Data
20 mins
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