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UOP-PRG315.AJ1
R for Data Science
Intermediate Self-paced · 1 year access
26 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
5 Interactive Lessons · 23 topics01 Data Mining: Patterns and Sequences 5 topics · 7 LiveLab +
- Cluster analysis
- Anomaly detection
- Association rules
- Patterns
- Questions
7 LiveLab in this lesson — see the labs panel →
02 Text Mining 2 topics · 2 LiveLab +
- Packages
- Questions
2 LiveLab in this lesson — see the labs panel →
03 Data Analysis: Regression, Correlation, and Clustering 5 topics · 6 LiveLab +
- Packages - Regression Analysis
- Packages - Correlation
- Packages - Clustering
- K-means clustering
- Questions
6 LiveLab in this lesson — see the labs panel →
04 Data Visualization: R Graphics, Plotting, and 3D 7 topics · 8 LiveLab +
- Packages - R Graphics
- Packages - Plotting
- Scatter plots
- Bar charts and plots
- Packages - 3D
- Generating 3D graphics
- Questions
8 LiveLab in this lesson — see the labs panel →
05 Machine Learning 4 topics · 3 LiveLab +
- Packages
- Dataset
- Automatic forecasting packages
- Questions
3 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
26 LiveLabs- 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
- Manipulating Text
- Analyzing the XML Text
- Performing Simple Regression
- Performing Multiple Regression
- Performing Multivariate Regression Analysis
- Performing Tetrachoric Correlation
- Estimating the Number of Clusters Using Medoids
- Performing Affinity Propagation Clustering
- 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
- Finding a Dataset
- Making a Prediction
- Using Holt Exponential Smoothing
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
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Prepare for R for Data Science
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.
- 1 year of full access
- 26 LiveLab included
- Certificate of completion
No credit card required