uCertify

R for Data Science

(UOP-PRG315.AJ1)
Lessons
Lab
Lab (Add-on)
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Skills You’ll Get

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1

Data Mining: Patterns and Sequences

  • Cluster analysis
  • Anomaly detection
  • Association rules
  • Patterns
  • Questions
2

Text Mining

  • Packages
  • Questions
3

Data Analysis: Regression, Correlation, and Clustering

  • Packages - Regression Analysis
  • Packages - Correlation
  • Packages - Clustering
  • K-means clustering
  • Questions
4

Data Visualization: R Graphics, Plotting, and 3D

  • Packages - R Graphics
  • Packages - Plotting
  • Scatter plots
  • Bar charts and plots
  • Packages - 3D
  • Generating 3D graphics
  • Questions
5

Machine Learning

  • Packages
  • Dataset
  • Automatic forecasting packages
  • Questions

1

Data Mining: Patterns and Sequences

  • Plotting a Graph by Performing k-means Clustering
  • Calculating K-medoids Clustering
  • Plotting Graphs By Performing Expectation-Maximization
  • Calculating Anomalies
  • Using the apriori Rules Library
  • Using eclat to Find Similarities in Adult Behavior
  • Evaluating Associations in a Shopping Basket
2

Text Mining

  • Manipulating Text
  • Analyzing the XML Text
3

Data Analysis: Regression, Correlation, and Clustering

  • Performing Simple Regression
  • Performing Multiple Regression
  • Performing Multivariate Regression Analysis
  • Performing Tetrachoric Correlation
  • Estimating the Number of Clusters Using Medoids
  • Performing Affinity Propagation Clustering
4

Data Visualization: R Graphics, Plotting, and 3D

  • Grouping and Organizing Bivariate Data
  • Displaying a Histogram of Scatter Plots
  • Creating an Enhanced Scatter Plot
  • Constructing a Bar Plot
  • Producing a Word Cloud
  • Generating a 3D Graphic
  • Producing a 3D Scatterplot
  • Integrating R and C++ Using the Rcpp Package
5

Machine Learning

  • Finding a Dataset
  • Making a Prediction
  • Using Holt Exponential Smoothing

1

Text Mining

  • Displaying the Hierarchical Cluster
  • Plotting the Density Values
  • Computing the Outliers for a Set
  • Finding Frequent Items in a Dataset
  • Determining and Visualizing Sequences
  • Computing LCP, LCS, and OMD

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