Big Data
Big Data Training
Big Data
Description
- The training is a combination of DMAIC methodology and modern data analytics
- Providing necessary knowledge and tools to apply the Big Data methodology
- Extract information from existing data sources and insights to derive actions that directly benefit your business
- Suitable for analysts, Six Sigma Green Belts, Black Belts and Master Black Belts and employees who practically apply modern statistical techniques
Contents
- Learn the basics of R programming
- Use of packages
- Data retrieval and preparation for analysis: data setup in R & data cleaning
- Data analysis: graphical tools, “cluster” analysis, principal components analysis, association rules
- Learn about and apply regression models and regression structures, evaluation
- Model performance
- Generating improvements with models
- Communication & implementation
Objectives
- Understanding of the use of new techniques of statistical model building
- Building up a sound basic knowledge of the analysis system R and R-Studio
- Getting to know graphical tools in R
- Acquire basic knowledge of data preparation and structure of a data analysis
- Mastering modern statistical tools (regression trees, lasso regression, cluster analysis)
- Acquire the ability to analyze large amounts of data with R and to develop models
Duration, Price & Location
- 5 days / € 3.200,- plus VAT.
- Munich
- Berlin
- Frankfurt
- Vienna
Dates & Training Inquiries
Dates & Training Inquiries
Course No.
MBD2301
MBD2302
When
24.-28.04.2023
06.-10.11.2023
Course No. | When
MBD2301 | 24.-28.04.2023
MBD2302 | 06.-10.11.2023
Course No.
FBD2301
FBD2302
When
03.-07.07.2023
13.-17.11.2023
Course No. | When
FBD2301 | 03.-07.07.2023
FBD2302 | 13.-17.11.2023
Course No.
BBD2301
BBD2302
When
08.-12.05.2023
11.-15.12.2023
Course No. | When
BBD2301 | 08.-12.05.2023
BBD2302 | 11.-15.12.2023
Course No.
WBD2301
WBD2302
When
24.-28.04.2023
06.-10.11.2023
Course No. | When
WBD2301 | 24.-28.04.2023
WBD2302 | 06.-10.11.2023
Course No.
ZBD2301
ZBD2302
When
24.-28.04.2023
06.-10.11.2023
Course No. | When
ZBD2301 | 24.-28.04.2023
ZBD2302 | 06.-10.11.2023
TRAINING REQUEST
This training is also available remotely!