Trainings

Specific needs require specific solutions; such as our customer faced individual training courses. We offer two main focuses in our training courses due to our expertise:

1) Data Mining Trainings

KNIME Basic User Training

1.KNIME Overview

2.Visual Data Exploration

3.Training and Testing Models

4.Data Manipulation

5.Introductory Reporting

6.Database Operations

7.Batch Execution and Memory Handling

KNIME Basic and Advanced User Training

1.KNIME Overview

2.Visual Data Exploration

3.Training and Testing Models

4.Data Manipulation

5.Introductory Reporting

6.Database Operations

7.Batch Execution and Memory Handling

8.Flow Variables

9.Loops

10.Switches

11.Advanced Reporting

12.Integration of external applications

13.XML handling

SAS ENTERPRISE MINER TRAINING

1. Introduction Data Mining Methodology and Algorithms

2. Analytical Problem Description and Data Preparation

3. SEMMA-Methodology: Sampling, Data Exploration, Modification of Variables, Model Training, Model Assessment

4. Introduction to SAS Enterprise Miner Software

5. Predictive Analytics: Regression Analysis, Decision Tree, Neural Networks, Ensemble Models

6. Model Evaluation und -Deployment: Creation of Score-Code (Base SAS, C, Java and PMML)

7. Cluster Analysis

8. Association- und Sequence Analysis

9. Other Modeling Algorithms, e.g. Rule Induction, Gradient Boosting

MS SQL SERVER ANALYSIS SERVICES DATA MINING TRAINING

1. Introduction Data Mining Methodology and Algorithms

2. Data Preparation für Data Mining

3. Introduction to MS SQL Server Business Intelligence Development Studio

4. Data Exploration

5. Predictive Analytics

-  Decision Trees

-  Regression Analysis & Neural Networks

-  Naive Bayes

-  Model Assessment

-  Model Deployment and Scoring

6. Knowledge Discovery

-  Association Analysis

-  Cluster Analysis

-  Sequence Clustering

-  Time Series Analysis

DATA PREPARATION FOR DATA MINING

 1. Introduction

2. Relevant Data Mining Business Scenarios

3. Data Models for Analytical Data Marts

4. Data Transformations for

- Predictive Modeling

- Association Analyses

- Time Series

- Text Mining

5. Automation of Analytical Data Preparation Processes

6. Data Preparation for Scoring Processes

7. Data Preparation and Model Deployment in Realtime Execution Environments

DATA MINING METHODOLOGY

1. What can Data Mining do?

2. Data Mining Methodology

3. Effectiveness of Data Mining

4. Overview of Data Mining Algorithms

5. Decision Tree

6. Regression Analysis

7. Neural Networks

8. Naïve Bayes

8. Other Predictive Modeling Algorithms

9. Cluster Analysis

10. Association & Sequence Analysis

11. Putting Data Mining to work

12. Batch vs. Realtime Data Mining

13. Data Mining – Quo Vadis?

DYNAMINE TRAINING

1. DynaMine® Data Mining Automation – Getting started

2. Overview DynaMine® Data Mining Automation Frontend     

3. New Model Wizard

4. Model Settings

5. Process Management

6. Reporting and Model Assessment

2) BI Trainings

Our trainings take place in selected habitats to guarantee a conformable environment of training and learning. In-house trainings are available on demand. Further information about the content of training courses can be found in the related sub items.