Brochure
Enquire- Course Overview
- Class Agenda and Introduction to Data Mining
- Explanation of Class Materials
- Demonstrations of Rattle
- More Rattle Demonstrations
- Exercise for Introduction Section
Data Mining with Rattle
BY
Udemy
Learn how to use the GUI-based, all-inclusive data miner data mining software suite implemented in R using the rattle ...Read more
Online
₹ 649 3499
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Data mining involves the use of methods from machine learning, statistics, and database management systems to discover and extract patterns from large data sets. The goal of data mining, which spans the disciplines of computer science and statistics, is to take a dataset and, with the help of algorithmic analysis, derive useful insights from it. Data mining is the "knowledge discovery in databases" (KDD) analytical phase. In addition to the raw analysis, it consists of database and data management, data pre-processing, model and inference considerations, interestingness metrics, interconnectivity aspects, post-processing of discovered structures, visualization, and online updating. Data Mining with Rattle certification is made available by Udemy to candidates who wish to learn more about life-cycle data mining with the widely used data miner
Data Mining with Rattle online training includes 15 hours of video, 15 resources that can be downloaded, and a digital certificate when the course is done.
Data Mining with Rattle online classes consisting of rattle interface and tabs, introduction to data mining, loading and describing data in rattle, interactive data exploration, cluster analysis, association analysis, decision trees, random forests
The highlights
- Full Lifetime Access
- 15 hours on-demand video
- 15 Downloadable Resources
- Access on Mobile and TV
- Certificate of Completion
Program offerings
- Online course
- Learning resources
- 30-day money-back guarantee
- Unlimited access
Course and certificate fees
Fees information
₹ 649 ₹3,499
certificate availability
Yes
certificate providing authority
Udemy
Who it is for
What you will learn
Visualisation skills
Knowledge of data mining
Data Mining with Rattle certification course, the applicant will learn everything about using the popular data miner software suite, do tasks and activities related to the life-cycle of data mining, and assist with them. The applicant will know how to use the data miner GUI software platform's data, explore, test, transform, cluster, associate, model, evaluate, and log tabs. The candidate will know how to use a rattle to explore, visualize, transform, and summarise data sets. The individuals who complete this course will be able to perform and interpret cluster analyses, association analyses, mining rules, decision trees, random forest boosting, and support vector machines, as well as create advanced, interactive visualizations of data using Ggobi.
The syllabus
Introduction, Orientation, and Demos
Rattle Interface Tabs and Introductory Script Demonstrations
- Session Agenda
- Rattle Interface and Tabs (part 1)
- Rattle Interface and Tabs (part 2)
- Rattle Interface and Tabs (part 3)
- Script Demonstrations (part 1)
- Script Demonstrations (part 2)
- Script Demonstrations (part 3)
Loading and Exploring Data
- Loading and Describing Data in Rattle
- Describing and Exploring Data in Rattle
- Exploring the Data in Rattle
- Exploring Data with Plots in Rattle
- Script to Load Data and Read Files
- More Data Visualization with Scripts
- Continue Plotting with Scripts
Data Visualizations with Ggobi and Data Transformation in Rattle
- Interactive Data Exploration
- Ggobi Demonstrations
- Data Transformation in Rattle (part 1)
- Data Transformation in Rattle (part 2)
- Reshaping Data
Cluster Analysis
- Introduction to Cluster Analysis using Rattle
- Similarity-based Cluster Analysis Demos using Scripts (part 1)
- Distance-based Cluster Analysis Demos using Scripts (part 2)
- Data Exploration Options (part 1)
- Data Exploration Options (part 2)
- Cluster Analysis Example: Ancient Pottery Shards
- Cluster Analysis Example: Classifying Exoplanets (part 1)
- Cluster Analysis Example: Classifying Exoplanets (part 2)
Association Analysis
- Cluster Analysis Exercise Solution
- Introduction to Association Analysis
- Introduction to Association Analysis using R Script
- Introduction to Association Analysis using Rattle
- Working with Rules
- Visualizing Association Rules (part 1)
- Visualizing Association Rules (part 2)
- Visualizing Association Rules (part 3)
- Association Analysis Exercise
Decision Trees and Recursive Partitioning
- Association Analysis Exercise Solution
- What are Decision Trees ?
- Introduction to Decision Trees and Rattle Demo (part 1)
- Introduction to Decision Trees and Rattle Demo (part 2)
- Introduction to Decision Trees and Rattle Demo (part 3)
- Introduction to Decision Trees and Rattle Demo (part 4)
- Recursive Partitioning Demo with Bodyfat Data (part 1)
- Recursive Partitioning Demo with Bodyfat Data (part 2)
- Recursive Partitioning Demo with Bodyfat Data (part 3)
- Recursive Partitioning Demo with Glaucoma Data (part 1)
- Recursive Partitioning Demo with Glaucoma Data (part 2)
- Recursive Partitioning Demo with Glaucoma Data (part 3)
Random Forests
- Recursive Partitioning Exercise Solutions
- Introduction to Random Forests
- Random Forest Rattle Tutorial with Weather Data (part 1)
- Random Forest Rattle Tutorial with Weather Data (part 2)
- Random Forest Rattle Tutorial with Weather Data (part 3)
- Random Forest Modeling with R Weather Data (part 1)
- Random Forest Modeling with R Weather Data (part 2)
- Random Forest Modeling with R Weather Data (part 3)
- Decision Tree Iris Data
- Random Forest Iris Data (part 1)
- Random Forest Iris Data (part 2)
- Random Forest Exercise
Boosting
- Random Forest Exercise Solution (part 1)
- Random Forest Exercise Solution (part 2)
- Introduction to Boosting
- Boosting Tutorial using Rattle
- Basics of Boosting Demo using R
- Replicating Adaboost using Rpart (part 1)
- Replicating Adaboost using Rpart (part 2)
- Boosting Extensions and Variants
- Boosting Exercise
Support Vector Machines
- Introduction to Support Vector Machines (SVMs)
- Boosting Exercise Solution
- Demonstrate Basis of SVM using R Scripts
- SVM Tutorial in Rattle
- SVM Model Evaluation (part 1)
- SVM Model Evaluation (part2)
- SVM Model Evaluation (part 3)
Instructors
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