Splunk 7.3 for Analytics and Data Science

Splunk 7.3 for Analytics and Data Science

Upcoming Classes

Summary

This course, delivered over 3 virtual days, 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.

Description

  • Analytics Process
  • Exploratory Data Analysis
  • Machine Learning
  • Algorithms, Preprocessing and Feature Extraction
  • Market Segmentation
  • Transactional Analysis
  • Anomaly Detection
  • Estimation and Prediction
  • Classification (Predict a Categorical Field)

Duration

3 Days

Objectives

Module 1 – Analytics Process

  • Define terms related to analytics and data science
  • 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 Experiments

Module 2 – Clean and Preprocess Data

  • Determine relevant fields
  • Reduce Dimensionality of data
  • Scale features and normalize data
  • Preprocess data
  • Extract features
  • Use and compare algorithms
  • Refine models

Module 3 – Predict numeric Fields

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

Module 4 – Forecast Trends

  • Differentiate, prediction and forecasting
  • Model forecasts

Module 5 – Detect Anomalies

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

Module 6 – Predict a Categorical Field (Classification)

  • Define key classifications terms
  • Evaluate classifier results

Module 7 – Cluster Data

  • Define clustering
  • Model clusters
  • Validate the coherence of clusters

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

EMEA Coordinated Universal Time (GMT) - Virtual

AMER Eastern Time - Virtual

AMER Pacific Time - Virtual

APAC Singapore - Virtual


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