Splunk for Analytics and Data Science (SADS)

This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk's statistics, ma...

This 13.5-hour course is for users who want to attain operational intelligence level 4, (business insights) and covers implementing analytics and data science projects using Splunk's statistics, machine learning, built-in and custom visualization capabilities.

Please note that this course may run over three days, with 4.5 hour sessions each day.

- Analytics Framework
- Regression for Prediction
- Cleaning and Preprocessing Data
- Algorithms, Preprocessing and Feature Extrac7tion
- Clustering Data
- Detecting Anomalies
- Forecasting
- Classification

Topic 1 – Analytics Workflow


- Define terms related to analytics and data science
- Describe the analytics workflow
- Describe common usage scenarios
- Navigate Splunk Machine Learning Toolkit
Topic 2 – Training and Testing Models


- Split data for testing and training using the sample command
- Describe the fit and apply commands
- Use the score command to evaluate models
Topic 3 – Regression: Predict Numerical Values


- Differentiate predictions from estimates
- Identify prediction algo...