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SP-EADS

Exploring and Analyzing Data with Splunk

Price:
Duration:

USD 1000 excl. VAT

9 Hours

What you’ll learn in this course

This 9-hour course is for users who want to attain operational intelligence level 4, (business insights)

and covers exploratory data analysis by using statistical tools and custom visualizations.

Objectives

Outlines

Course Outline

Topic 1 – What is Data Science
• Define terms related to analytics and data science
• Describe the analytics workflow
• Describe Artificial Intelligence and Machine Learning
• Examine common Machine Learning myths
• Describe Splunk’s Machine Learning tools
Topic 2 – Exploratory Data Analysis
• Use bin and makecontinuous to restructure and visualize data
• Examine field statistics with fieldsummary
• Transform fields with eval and fillnull
• Clean text with the rex and cleantext commands
• Solve Anscombe’s Quartet
• Apply boxplots and 3d scatterplots to visualize data
Topic 3 – Event Clustering
• Take a behavioral based approach to cluster data
• Cluster numerical fields using the kmeans command
• Cluster based of string similarity with the cluster command
• Find patterns in clusters

Topic 4– Correlations and Transactions
• Define correlation and co-occurrence
• Use SPL correlation commands
• Use the statistical tests from the Machine Learning Toolkit to correlate fields
• Use streamstats and chart commands to correlate data
Topic 5– Anomaly Detection
• Define Statistical Outliers
• Use Add-hoc methods of numerical anomaly detection
• Find numerical or categorical anomalies with the AnomalyDetection command
Topic 6 – Forecasting
• Define forecasting use cases
• Use the predict command to forecast future timeseries

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Further information

If you would like to know more about this course please contact us