Goals

  • Understand the key elements of a data science projec
  • Idenitify the appropriate data science technique and/or algorithm to use for the major data science tasks.
  • Be aware of and be able to avoid the main data science challenges.
  • Identify key use cases.

Audience

  • Data Consultant / Manager
  • Developer
  • Technology Consultant

Prerequisites

Essential

  • None

Recommended

  • Basic understanding of statistics and math
  • OpenSAP course – Getting started with Data Science (ds1)

Course based on software release

  • SAP BusinessObjects Predictive Analytics 3.1

Content

  • Data Science Overview
    • Understanding Data Science
  • Exploratory Data Analysis
    • Understanding Data Preparation
  • Data Analysis and Algorithms
    • Understanding Outliers
    • Understanding Association Analysis
    • Understanding Cluster Analysis
    • Understanding Classification Analysis
    • Understanding Time Series Analysis
    • Understanding Feature Selection
    • Understanding Ensemble Methods
    • Understanding Model Deployment and Management
    • Understanding Simulation and Optimization
  • Myths and Challenges
    • Applying Data Science
  • Data Science Overview
    • Understanding Data Science
  • Exploratory Data Analysis
    • Understanding Data Preparation
  • Data Analysis and Algorithms
    • Understanding Outliers
    • Understanding Association Analysis
    • Understanding Cluster Analysis
    • Understanding Classification Analysis
    • Understanding Time Series Analysis
    • Understanding Feature Selection
    • Understanding Ensemble Methods
    • Understanding Model Deployment and Management
    • Understanding Simulation and Optimization
  • Myths and Challenges
    • Applying Data Science