Prerequisites
To be successful, students should have working knowledge of the following courses or equivalent Splunk experience:
- What is Splunk? (Retired)
- Intro to Splunk (ITS)
- Using Fields (SUF)
- Scheduling Reports & Alerts (SRA)
- Visualizations (SVZ)
- Working with Time (WWT)
- Statistical Processing (SSP)
- Comparing Values (SCV)
- Result Modification (SRM)
- Leveraging Lookups and Subsearches (LLS)
- Correlation Analysis (SCLAS)
- Search Under the Hood (SUH)
- !SP-IKO
- Creating Field Extractions (CFE)
- Search Optimization (SSO)
Course Objectives
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 (Splunk Enterprise and Splunk Machine Learning Toolkit products are covered).
Please note that this course may run over three days, with 4.5 hour sessions each day.
Course Content
- Analytics Framework
- Exploratory Data Analysis
- Regression for Prediction
- Cleaning and Preprocessing Data
- Algorithms, Preprocessing and Feature Extraction
- Clustering Data
- Detecting Anomalies
- Forecasting
- Classification
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