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.

• Analytics Framework
• Exploratory Data Analysis
• Regression for Prediction
• Cleaning and Preprocessing and Feature Extraction
• Algorithms, Preprocessing and Feature Extraction
• Clustering Data
• Detecting Anomalies
• Forecasting
• Classification

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

Module 1 – Analytics Workflow

• Define terms related to analytics and data science
• Define the analytics workflow
• Describe common usage scenarios
• Navigate Splunk Machine Learning Toolkit

Module 2 – Exploratory Data Analysis

Module 3 – Predict Numeric Fields with Regression

Module 4 – Clean and Preprocess the Data

• Use FieldSelector to choose relevant fields
• Use PCA and ICA to reduce dimensionality
• Normalize data with StandardScaler and RobustScaler
• Preprocess text using Imputer, and NPR, TF-IDF, HashingVectorizer and the cluster command

Module 5 – Cluster Data

Module 6 – Anomaly Detection

Module 7 – Estimation and Prediction

Module 8 – Classification

• AutoPrediction
• LogisticRegression
• SVM (Support Vector Machines)
• RandomForestClassifier