R for Data Science
Get hands-on experience of R for Data Science with the comprehensive course and lab. The lab provides hands-on learning of R programming language with a firm grip on some advanced data analysis techniques. The course and lab deal with the evaluation of data by using available R functions and packages. The course will help you to discover different patterns in datasets with the use of the R language, like cluster analysis, anomaly detection, and association rules. You will also learn to produce data and visual analytics through customizable scripts and commands.
- Price: $279.99
- Delivery method: eLearning
- DIR Discount: 20%
Submit form to obtain discount
Test Prep
45+ Pre Assessment Questions |
45+ Post Assessment Questions |
Features
38+ LiveLab |
37+ Video tutorials |
01:59+ Hours
Why choose TOPTALENT?
- Get assistance every step of the way from our Texas-based team, ensuring your training experience is hassle-free and aligned with your goals.
- Access an expansive range of over 3,000 training courses with a strong focus on Information Technology, Business Applications, and Leadership Development.
- Have confidence in an exceptional 95% approval rating from our students, reflecting outstanding satisfaction with our course content, program support, and overall customer service.
- Benefit from being taught by Professionally Certified Instructors with expertise in their fields and a strong commitment to making sure you learn and succeed.
Outline
Lessons 1:
Preface
- What this course covers?
- What you need for this course?
- Who this course is for?
- Conventions
Lessons 2:
Data Mining Patterns
- Cluster analysis
- Anomaly detection
- Association rules
- Questions
- Summary
Lessons 3:
Data Mining Sequences
- Patterns
- Questions
- Summary
Lessons 4:
Text Mining
- Packages
- Questions
- Summary
Lessons 5:
Data Analysis – Regression Analysis
- Packages
- Questions
- Summary
Lessons 6:
Data Analysis – Correlation
- Packages
- Questions
- Summary
Lessons 7:
Data Analysis – Clustering
- Packages
- K-means clustering
- Questions
- Summary
Lessons 8:
Data Visualization – R Graphics
- Packages
- Questions
- Summary
Lessons 9:
Data Visualization – Plotting
- Packages
- Scatter plots
- Bar charts and plots
- Questions
- Summary
Lessons 10:
Data Visualization – 3D
- Packages
- Generating 3D graphics
- Questions
- Summary
Lessons 11:
Machine Learning in Action
- Packages
- Dataset
- Questions
- Summary
Lessons 12:
Predicting Events with Machine Learning
- Automatic forecasting packages
- Questions
- Summary
Lessons 13:
Supervised and Unsupervised Learning
- Packages
- Questions
- Summary
