DSC10E
Fundamentals of Data Science Fundamentals of Data Science
- Delivery Methods:E-Learning
Duration:480 Min
Level:Details, Configuration & Transaction
Languages:English
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