- Introduction to Decision Tree
Introduction to Decision Tree
What is Decision Tree?
Picking the Perfect Avocado
Algorithm in Action
Discover the Value
Take a Tour Within Datameer
Practical Lab: Branch Out with HR
- Next Steps
Summary and Next Steps
Provide Feedback & Continue Learning
Smart Analytics: Decision Tree
Smart Analytics Decision Tree is a tool that can help create pathways to success. This course has been designed to show you the tips and techniques to put this tool to use within your data. Optimize your workflows and get results toward your desired outcomes today with Decision Tree.
The Decision Tree is the second of four tools within the Smart Analytics toolkit and the third course within this master class series. This powerful tool will show you yet another way to gather new insights, save time, and move your company forward. This course has been designed to show you how a decision tree can help with your analysis. Decision trees can help you understand the different combinations of data attributes that result in the desired outcome - often used to optimize a workflow. You will leave this course with the tools and techniques to put this feature to work within your data.
Included in Course Series
AA1400S - Smart Analytics Masterclass
|6-Section Masterclass (recommended to take series over 6-weeks)|
$100 / Included with Subscription
Estimated Time for Completion
Yes, Smart Analytics Certification
Supplement Materials (Y/N)
Smart Analytics: Foundations
Strongly Suggested Prerequisite(s)
Introduction to Data Analytics Series
Introduction to Datameer 6 Series
Analyst Basics Level 1 (Certification Optional)
- Repeat the question used within the course to summarize what you are trying to answer using a decision tree for analysis.
- Describe ways a decision tree would add value within an analytics workflow.
- Identify which analysis model Datameer considers Decision Tree to be.
- Describe the elements of a decision tree using a Bonsai tree for comparison.
- Describe how to identify the value in the different components.
- Describe what a “target attribute” and the “regular attributes” are in a decision tree.
- Memorize specific systematic requirements within Datameer when building a Decision Tree.
- Name which algorithm is used to calculate a decision tree within Datameer.
- Describe which learning technique the algorithm follows and how the model works to shape the tree.
- Describe how Flipside is different from the wizard infographic/visual preview.
- Describe the functionality and purpose to the decision tree tool and advanced settings.
- Inform how to read confidence score values within the terminal nodes.
Continue Learning with Datameer:
Datameer eLearning is an online learning library built to teach you big data analytics concepts, simplified via the Datameer platform. Decision Tree is one of four Smart Analytics tools within Datameer. Datameer eLearning covers each of these tools in details and we recommend the following courses as next steps:
- Smart Analytics: Column Dependencies
- Smart Analytics: Clustering
- Smart Analytics: Recommendations
- Smart Analytics Certification Exam
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These Terms & Conditions were last updated at Apirl 4 , 2017.