- Free Courses
-
Learning Paths
- Courses for Users
- Courses for Splunk Administrators
- Courses for Splunk Cloud Customers
-
Courses for Splunk Architects
- Overview
- Splunk Fundamentals 1
- Splunk Fundamentals 2
- Advanced Searching and Reporting
- Splunk Enterprise System Administration
- Splunk Enterprise Data Administration
- Troubleshooting Splunk Enterprise
- Splunk Enterprise Cluster Administration
- Advanced Dashboards and Visualizations
- Architecting Splunk Enterprise Deployments
- Courses for App Developers
- Courses for Enterprise Security Administrators
- Courses for Enterprise Security End-Users
- Courses for IT Service Intelligence Administrators
- Courses for IT Service Intelligence End-Users
- Certification Tracks
-
Courses
- Splunk Fundamentals 1
- Splunk Fundamentals 2
- Advanced Searching and Reporting
- Advanced Dashboards and Visualizations
- Building Splunk Apps
- Splunk for Analytics and Data Science
- Splunk Infrastructure Overview
- Splunk Enterprise System Administration
- Splunk Enterprise Data Administration
- Troubleshooting Splunk Enterprise
- Splunk Enterprise Cluster Administration
- Splunk Cloud Administration
- Architecting Splunk Enterprise Deployments
- Splunk Architect Certification Lab
- Developing with Splunk's Java and Python SDKs
- Administering Splunk Enterprise Security
- Using Splunk Enterprise Security
- Implementing Splunk IT Service Intelligence
- Using Splunk IT Service Intelligence
- Splunk User Behavior Analytics
-
Videos
- All Videos
- Splunk Cloud Tutorial
- Installing Splunk Enterprise 6 on Linux
- Installing Splunk Enterprise 6 on Windows
- Getting Data In to Splunk Enterprise (Linux)
- Getting Data In (Windows)
- Getting Data In with Forwarders
- Basic Search in Splunk Enterprise 6.3
- Create a Dashboard in Splunk Enterprise
- Using the Splunk MINT SDK for Android
- Using the Splunk MINT SDK for iOS
- Basic Search in Splunk Light
- Create Reports in Splunk Light
- Create Dashboards in Splunk Light
- Create Alerts in Splunk Light
- FAQ
-
- Download Fact Sheet
Course Description
This course, delivered over three virtual days, covers implementing analytics and data science projects using Splunk's statistics, machine learning, built-in and custom visualization capabilities.
Instructor-led Training Schedule
| Start Date | Start Time | Time Zone | |
|---|---|---|---|
| 09-Jul-18 | 09:00 AM | (GMT-07:00) Arizona | |
| 16-Jul-18 | 09:00 AM | (GMT+01:00) Brussels, Copenhagen, Madrid, Paris | |
| 23-Jul-18 | 09:00 AM | (GMT-07:00) Arizona | |
| 13-Aug-18 | 09:00 AM | (GMT+01:00) Brussels, Copenhagen, Madrid, Paris | |
| 20-Aug-18 | 09:00 AM | (GMT-07:00) Arizona |
- Splunk Fundamentals 1
- Splunk Fundamentals 2
- Advanced Searching and Reporting with Splunk
- or equivalent Splunk experience
- Analytics Framework
- Exploratory Data Analysis
- Machine Learning
- Using Algorithms to Build Models
- Market Segmentation
- Transactional Analysis
- Anomaly Detection
- Estimation and Prediction
- Classification
- Define terms related to analytics and data science
- Describe the framework for multi-departmental analytics projects
- Identify analytics project best practices
- Identify common use cases
- Define exploratory data analysis
- Describe Splunk exploratory data analysis solutions
- Define some concepts and terms associated with machine learning
- Describe the machine learning workflow
- Split data for training and testing models
- Fit and apply models in Splunk
- Use Machine Learning Toolkit Showcases and Assistants
- Use Machine Learning Toolkit commands and features
- Use and compare algorithms
- Refine models
- Describe market segmentation and transactional analysis
- Define use cases and solutions
- Define anomaly detection
- Identify anomaly detection use cases
- Describe Splunk anomaly detection solutions
- Define estimation and prediction
- Identify estimation and prediction use cases
- Describe Splunk estimation and prediction Solutions
- Define key classification terms
- Evaluate classifier results