Splunk 7.1 for Analytics and Data Science

Splunk 7.1 for Analytics and Data Science

Upcoming Classes

No classes have been scheduled.

Summary

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.

Description

  • Analytics Framework
  • Exploratory Data Analysis
  • Machine Learning
  • Using Algorithms to Build Models
  • Market Segmentation
  • Transactional Analysis
  • Anomaly Detection
  • Estimation and Prediction
  • Classification

Duration

3 Days

Objectives

Module 1 – Analytics Framework

  • 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

Module 2 – Exploratory Data Analysis

  • Define exploratory data analysis
  • Describe Splunk exploratory data analysis solutions

Module 3 – Machine Learning Workflow

  • 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

Module 4 – Using Algorithms to Build Models

  • Use Machine Learning Toolkit commands and features
  • Use and compare algorithms
  • Refine models 

Module 5 – Market Segmentation and Transactional Analysis

  • Describe market segmentation and transactional analysis
  • Define use cases and solutions

Module 6  – Anomaly Detection

  • Define anomaly detection
  • Identify anomaly detection use cases
  • Describe Splunk anomaly detection solutions

Module 7 – Estimation and Prediction

  • Define estimation and prediction
  • Identify estimation and prediction use cases
  • Describe Splunk estimation and prediction Solutions

Module 8 – Classification

  • Define key classification terms
  • Evaluate classifier results

Prerequisites

  • Splunk Fundamentals 1
  • Splunk Fundamentals 2
  • Splunk Fundamentals 3
  • or equivalent Splunk experience

Onsite Training

For groups of three or more

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Public Training