flyerenglishtrainings · practical examples and exercise will be analyzed using eviews. eviews is...
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2015
Dates:
02/04 2015 – 02/05 2015
03/18 2015 - 03/19 2015
06/11 2015 – 06/12 2015
09/02.2015 – 09/03 2015
11/25 2015 – 11/26 2015
02/11 2015 – 02/12 2015
05/19 2015 – 05/20 2015
06/24 2015 – 06/25 2015
09/09 2015 – 09/10 2015
Phone: +49 5542 93300
Design Expert Trainings
Introduction to Design of Experiments using Design Expert
This course is an entry step to the practical application of design of experiments with Design Expert. You will learn how to setup and analyze the easy- to- use but still powerful classical fractional designs. Screening designs like full- and fractional- factorial designs will allow you to identify the important factors for your process. Optimization designs like the central- composite- design then help you to find the optimal factor- settings. The contents of this course is illustrated using practical examples from various fields of industrial application.
Topics: • Setup and analyze two- level factorial designs • Using transformations • Fractional factorial designs • Design augmentation with additional runs
Requirements: A basic understanding of statistical thinking is required. All DoE- methods are introduced during the course.
Price: 980,- Euro net
Duration: 2 days
„Response Surface-Methods“ for product- and process optimization using
Design Expert (RSM)
The response surface methodology helps you to find the optimal factor- settings for your process. In this course you will learn how to set up and analyze Central- Composite- , Box- Behnken- and Optimal- Designs. The resulting response- surface- models will allow you to make simulations and to define process windows. All topics will be illustrated by practical examples and exercises.
Topics: • Augmenting fractional- factorial designs with center points • Central composite and Box- Behnken designs • Setting up IV- and D- optimal designs • Finding robust factor settings • Optimization of multiple responses • Evaluation design quality
Requirements: Basic knowledge in statistics and design of experiments. This course is based on the " Introduction to Design of Experiments using Design Expert" .
Price: 980,- Euro net
Duration: 2 days
Dates:
02/18 2015 – 02/19 2015
04/28 2015- 04/29 2015
06/292015 – 06/30 2015
09/22 2015 – 09/23 2015
12/15 2015 – 12/16 2015
Tel.: +49 5542 933030
Dates:
02/11 2015 – 02/12 2015
03/11 2015 – 03/12 2015
05/27 2015 – 05/28 2015
08/19 2015 – 08/20 2015
09/02 2015 – 09/03 2015
11/04 2015 – 11/05 2015
Phone: +49 5542 93300
„Mixture Design“ for Optimal Formulations (MIX)
Is it your task to find optimal formulations? Wherever one is mixing several components the use of factorial designs is not recommended, as there are more sophisticated designs. Mixture designs will help you to find the optimal proportion of ingredients. This course will give you an understanding in setting up and analyzing mixture designs. This includes the statistical methods, practical examples and the use of Design Experts special graphical tools.
Topics:
• Setting up simplex designs • Choosing an appropriate model for your problem • Using ternary graphs for optimization • Using mixture designs with constraints • Augment mixture designs and evaluate a designs quality • Choosing the best design for a problem • Interpretation of trace plots
Requirements: Basic knowledge in design of experiments using factorial designs (Introduction to Design of Experiments using Design Expert)
Price: 980,- Euro net
Duration: 2 days
EViews Trainings
Introduction to econometric methods using EViews
The application of statistical methods for the validation of economic hypothesis is a foundation stone of the economic sciences. Linear regression, the most frequently used method, finds appliance in the analysis of macro- economic- and financial market data. The basics of linear regression are the main topic of this course. Practical examples and exercise will be analyzed using EViews. EViews is the world leading software in the analysis of economic data.
Topics:
• EViews basics • Application of statistical hypothesis tests • Estimation and interpretation of linear regression models • Verification of regression assumptions • Regression in time series analysis
Requirements: Basic knowledge of statistics is helpful but not must have. No experience with EViews is required.
Price: 980,- Euro net
Duration: 2 days
Dates:
02/19 2015
03/16 2015
06/02 2015
08/26 2015
10/28 2015
12/09 2015
01/20 2015 – 01/21 2015
02/24 2015 – 02/ 25 2015
03/18 2015 – 03/19 2015
06/10 2015 – 06/11 2015
08/27 2015 – 08/28 2015
10/29 2015 – 10/30 2015
12/10 2015 –12/11 2015
Dates and further information:
Phone: +49 5542 93300
Programming EViews
The EViews scripting language allows you to implement new statistical methods, automatize tasks and manipulate graphs and tables. This course is your entry step into programming with EViews. This includes the creation of EViews Add- Ins and User- Interfaces (e.g. dialog- boxes) .
Topics:
• Creating EViews scripts for routine jobs (like data import) • Interaction with user via dialog boxes • Customization of graphs and tables
Requirements: The participant needs some basic experience with EViews. The training is based on EViews version 7
Price: 490,- Euro net
Duration: 1 day
Complex econometric modeling using EViews
This course gives an overview over more advanced statistical techniques of modeling economic data. Starting with dynamic regression models more sophisticated problems will be discussed in the framework of systems of equations. A further generalization is the popular VAR- and VEC- models. Finally we conclude with models for volatility (ARCH/GARCH) .
Topics:
• Estimation and interpretation of dynamic regression models • Definition and estimation of systems of equations using 2SLS • Estimation of VAR- and VEC- models • Interpretation of VAR- and VEC- models using impulse- response- functions • Modeling volatility using ARCH/GARCH- models
Requirements: Participants should know the basics of regression analysis and hypothesis testing using EViews.
Price: 980,- Euro net
Duration: 2 days
Statistic of Financial Markets
This one day course covers all necessary mathematical and statistical fundamentals for financial engineering users. The statistical methods will be illustrated with economic and financial data. The course is focused on methods of financial mathematics and statistics. You will find a number of practical examples using EViews for your needs.
Price: 490,- Euro net,
Duration: 1 day
Dates:
02/11 2015 – 02/12 2015
03/02 2015 – 04/02 2015
05/27 2015 – 05/28 2015
08/19 2015 – 08/20 2015
10/28 2015 – 10/ 29 2015
02/18 2015 – 02/19 2015
04/28 2015 – 04/29 2015
07/15 2015 – 07/16 2015
09/02 2015 – 09/03 2015
11/11.2015 – 11/12 2015
Phone: +49 5542 93300
GraphPad Prism
Trainings
Data analysis with GraphPad Prism
This course lays the foundation stone for are successful work with GraphPad Prism. The focus lies on the presentation of basic workflows in Prism. Starting with simple examples each project type (XY- , Column- , Grouped- , Contingency- , and Survival- project) is presented. Finally the participant will be able to use PRISM for simple analyses, like the calculation and interpretation of important statistics.
Topics:
• Statistical basics • Data management and graphical presentation of data • Explorative data analysis • Using PRISM for simple statistical analyses
Requirements: This is a beginners course. Basic statistical knowledge is advantageous.
Price: 980,- Euro net,
Duration: 2 days
Linear & nonlinear Regression with GraphPad Prism
This course presents PRISM's methods for regression ( linear and non- linear) Starting with the XY- project- type and the graphical regression output the participant learns to interpret the numeric part of the output. The required statistical basics are part of this course.
Topics:
• Statistical basics for regression and model- selection
• Verifying the statistical assumptions of regression models - residual analysis
• Estimation and interpretation of linear and non- linear regression
• Transformation, baseline, starting- values and constraints
• Graphics
• Interpretation of statistical output
• Prediction and inverse prediction
• Model comparison and statistics between columns
Requirements: Basic knowledge in using GraphPad PRISM is needed. A preliminary attendance of "Data analyzes using GraphPad Prism" might be useful.
Price: 980,- Euro net,
Duration: 2 days
Dates:
02/18 2015 – 02/19 2015
04/20 2015 – 04/21 2015
07/15 2015 – 07/16 2015
09/02 2015 – 09/03 2015
11/11.2015 – 11/12 2015
Phone: +49 5542 93300
Dates:
01/13 2015 11/03 2015
03/04 2015 12/01 2015
05/27 2015
07/21 2015
08/11 2015
10/07 2015
Means comparison using GraphPad Prism
This course illustrates PRISM's methods for comparing means. This includes a detailed illustration of the project types "Column" and " Grouped" . Starting with the creation of comparison graphs the methods and their graphical and statistical output is interpreted using practical examples. The required statistical basics are part of the course.
Topics:
• Statistical basics of mean- comparisons • Graph types, graph customization, descriptive and explorative statistics • Verification of statistical assumptions - residual diagnostics • One- sample t- Test, two sample t- Test, paired t- Test • One- way and two- way ANOVA, repeated measure ANOVA and post- hoc- tests • Nonparametric tests for independent and paired samples
Requirements: Basic knowledge in using GraphPad PRISM is needed. A preliminary attendance of "Data analyzes using GraphPad Prism" might be useful.
Price: 980,- Euro net,
Duration: 2 days
JMP Trainings
JMP Data Exploration (JDEX)
This course gives an introduction to JMP, it's philosophy and it' s broad range of graphical capabilities. The participant acquires the skills to perform simple graphical analysis and to detect structures in data. Beginning with a presentation on how to use menus, dialogs and reports the course continues with useful data management features (import, export, transpose) . Finally decision trees are introduced as a more advanced method of explorative data analysis.
Topics:
• Data- import from different sources • JMP's menu structure • Efficient use of column- and row- menus • Creating summary tables • Graphical and explorative data analysis • Decision trees • Presenting and exporting results
Price: 690,- Euro net,
Duration: 1 day
Dates:
01/14 2015 – 01/15 2015
03/05 2015 – 03/06 2015
05/28 2015 – 05/29.2015
07/22 2015 – 07/23 2015
08/12 2015 – 08/13 2015
10/08 2015 – 10/09.2015
11/04 2015 – 11/05 2015
12/16 2015 – 12/17 2015
Dates:
02/03 2015 – 02/04 2015
04/08 2015 – 04/09 2015
06/23 2015 – 06/24 2015
09/08 2015 – 09/09 2015
Phone: +49 5542 93300
JMP ANOVA and Regression (JANR)
This course introduces the two most important statistical methods: ANOVA and regression. The course starts with a basic introduction to descriptive statistics, explorative data analysis and hypothesis testing. Continuing with statistical methods to compare means the ANOVA is the next logical step. The second main topic is regression analysis. This includes simple linear, polynomial and multiple regression. In the end the participant will be able to analyze data with continuous responses.
Topics:
• Explorative data analysis • Using hypothesis tests • Simple, pairwise and independent t- Tests • One- way and n- way- ANOVA • Simple and multiple regression and residual diagnostics
Requirements: Basic knowledge in using JMP covered by JDEX.
Price: 1380,- Euro net,
Duration: 2 days
JMP: Introduction to the JMP Scripting Language JSL (JSCR)
This course introduces the application of the JMP scripting language ( JSL) . JSL can be used to automate routine jobs, to implement new methods or to extend standard reports. In this introduction the participant receives the skills to adjust JMP according to your companies needs.
Topics:
• Scripting: the object- oriented approach, saving scripts to tables • JSL Building Blocks: operators, numbers and names, lists and expressions • Basic functions: For, For Each Row, If, Match and Choose • Scripts for data tables: creating new tables and columns, setting column properties • Using dialog- boxes, list- choices, data- structures, reports and results
Requirements: The participant needs to know how to work with JMP. The course " JMP: Explorative Data Analysis" is recommended.
Price: 1380,- Euro net.
Duration: 2 days
Dates:
01/21 2015 – 01/22 2015
05/19 2015 – 05/20 2015
07/28 2015 – 07/29 2015
12/07 2015 – 12/08 2015
Phone: +49 5542 93300
2015 – 15.01.2015
Design of Experiments (JDRS)
One of the principles of the Design of Experiments (DoE) methodology is to create efficient experiments, i.e. gain information from a small number experimental runs. This course focuses on basic methods of designing and analyzing experiments. We start with full and fractional factorial designs in order to identify the few important factors (screening designs). Then we turn our attention to response surface designs leading to optimal factor settings with respect to different types of optimization criteria. This training covers classic approaches of DoE as well as modern, user-defined methods (custom designs).
Topics:
• explain the fundamental principles of designed eperiments • understand and use blocking and randomization of designs • create and analyze full and fractional factrial screening designs • create screening designst o identify the important factors • create and analyze response surface designs • use the custom design tool in JMP in the right way
Requirements: Before attenting this course, it is recommended you complete the JMP Software: Date Exploration (JDEX) course or have equivalent experience. Experience in ANOVA and regression methods, e.g. based on the JANR training is helpful.
Price: 1380,- Euro net.
Duration: 2 days
Do you like to learn more about Statcon? Or do you like to
meet our trainers?
Please visit us on our booth. 2015 you will find us:
Hannover Messe 13. April 2015 - 17. April 2015
Hall 7, Stand C03
Control 05. Mai 2015 – 08. Mai 2015
Hall 3, Stand 3221
Achema 15. June 2015 – 19. June 2015
Hall 9.2, Stand B 82
Dates:
05/11 2015 – 05/12 2015
06/08 015 – 06/09 2015
10/07 2015 – 10/08 .2015
12/02 2015 – 12/03 2015
03/04 2015 – 03/05 2015
07/08 2015 – 07/09 2015
11/17 2015 – 11/18 2015
Phone: +49 5542 93300
Training General
Statistics
This course focuses on the basic statistical concepts and measures. First we introduce the idea of statistical thinking before we proceed to descriptive statistics. Measures of location, spread and form of the underlying distribution are discussed. Typical exploratory graphics e. g. histograms, Box- Plots and Do-plots are introduced. After this we focus on inferential statistics, beginning with hypothesis testing and means comparisons. Correlation and regression analysis is covered next. We can adjust this training ( duration and content) to your needs..
Topics:
• control the key data mean, standard deviation, median, . . . . • understand bar charts and boxplots • you are able to adopt t- tests, interpret them and check the prerequisites • understand and adopt analy.s of correlation • adopt simple linear regression
Price: 980,- Euro net,
Duration: 2 days
General Statitics
Measurement data evaluation for engineers
This course teaches the basic foundation of data analysis with respect to technical and scientific applications. Practical examples, which enable participants to understand the mathematical background, are fully worked. The course is to be expressly understood not as mathematically oriented course. It is rather an overview of the different statistical methods and applications in there respective contexts. Various statistical software can be used to work through the examples.
Topics:
• Introduction to Statistics: Basics (mean, standard deviation, median) Describing sample data, useful graphs Inference, Analytical statistics and hypothesis testing Check Assumptions: Residuals • Software for statistical analysis on PC Principles of operation of all statistics software Notes on meaningful data storage • Statistical analysis methods such as t- test, analysis of variance and regression
analysis:
Price:980,- Euro net
Duration: 2 days
Dates:
03/12 2015 – 03/13 2015
08/12 2015 – 08/13 2015
10/14 2015 – 10/15 2015
02/04 2015 – 02/05 2015
04/22 2015 – 04/23 2015
07/02 2015 – 07/03 2015
10/21 2015 – 10/22 2015
Phone: +49 5542 93300
Multivariate Methods
This course covers the application of multivariate statistical methods in the field of technical applications in research and development. All methods are explained along practical examples using the free software "R" . Focus of this course is on understanding the steps and procedures of proper multivariate analysis.
Topics:
• Multivariate statistics in comparison to univariate statistics • Multivariate analysis of variance, multiple comparisons, * MANOVA, contrasts • Multivariate linear models, multiple regression, canonical correlation • Discriminant analysis: canonical, linear and quadratic • Cluster Analysis • Variable reduction, extraction of important factors, principal components and factor analysis • PLS (partial least squares) creation and validation of calibration models • Structural equation modeling, path diagrams, and model structure, latent variable
Price:980,- Euro net
Duration: 2 days
Datamining: Applications Methods
With growing amounts of data we need new methods for data analysis. This class gives an overview over the most important datamining- methods. Unsupervised learning methods try to find structures in your data without an explicit response variable. Typical unsupervised methods are principal component- and cluster- analysis. The main topic in this class are prediction models. This includes logistic regression, decision trees and neural networks. The class concludes with the general idea of ensemble- prediction- models.
Topics:
• Uses cases in data mining
• Clustering (KMEANS, Hierarchical clustering)
• Principal component analysis (PCA)
• Prediction modeling (logistic regression, decision trees, neural networks)
• Concept of ensemble- models
Price: 980,- Euro net
Duration: 2 days
Dates:
01/14 2015 – 01/16 2015
02/18 2015 – 02/20 2015
03/18 2015 – 03/20 2015
05/11 2015 – 05/13 2015
07/22 2015 – 07/24 2015
09/23 2015 – 09/25 2015
10/06.2015 – 10/08 2015
11/25 2015 – 11/27 2015
Phone: +49 5542 93300
InfinityQS
The ProFicient software is an extremely powerful and flexible system for recording process data (both variables as well as qualitative outcomes) . In this course you will learn about ProFicients modularity. We'll show you how you can suit ProFicient to your needs. The starting point is to install the software and the application inside a flexible hierarchical database. We'll show you that you can represent your production processes with all measurement devices, processes, parts, control and target values in the database. Different data entry methods (manual and automated) are presented and applied. The flexible visualizations of your processes are called projects and can summarize control charts as well as reports. Participants learn how to implement process control using InfinityQS ProFicient. Process characteristics such as Cp, Cpk, Pp and Ppk are calculated and displayed. The training duration is three days and is based on the course content of the manufacturer InfinityQS..
Topics:
• Create ProFicient database • Create and edit data entry configurations • Define parts, processes and configure samples • Create and configure projects • Using templates • Types of control charts and editing reports
Requirements: Basic knowledge of statistical methods in quality control ( e. g. process capability indices, control charts, sampling plans, MSA)
Price: 1470,- Euro net
Duration: 3 days
InfinityQS ProFicient Training
Dates:
05/19 2015 – 05/21 2015
06/01 2015 – 06/03 2015
10/05 2015 – 10/07 2015
Tel.: +49 5542 93300
03/03 2015 – 03/04.2015
07/08 2015 – 07/09 2015
10/21 2015 – 10/22 2015
Biometrie,
Statistics for Live Science
Biometrie, Statistics for Life Science
This course is intended to provide a sound bases for the evaluation and analysis of biological and medical data. All methods are explained along practical examples, allowing the participants to understand the background. The course is to be expressly understood as non mathematical thus not focusing on formula. This course emphasizes the understanding as well as the steps and procedures of proper statistical analysis.
Topics:
• Descriptive statistics • Statistical graphics, What' s a good graphics? Bar charts, error bars, and dose response curves • Statistical testing, posing and testing hypotheses, a simple t- test • Desiging experiments, the DoE Method, repeated measures • Other tests, ANOVA ( analysis of variance) , paired t- test, Wilcoxen Rank Sum test,
• Regression analysis
- Regression including linear transformations - Non- linear regression, including dose- response curves
• Survival analysis, Kaplan- Meier curves and Cox model
Price: 1470,- Euro net
Duration: 3 days
Linear and Nonlinear Hierarchical Models with HLM 7 for Windows
Apply models to hierarchical data structures, that are frequently found in practical applications. The training shows how to define and run up to Four- Level- Models using HLM.
Topics:
• Data import from other statistical software
• Graphical methods to visualize data
• Equations for hierarchical models
• Random Effects- Models
• Multinomial and ordinal Models for three- level- data
• Four level- Models
• Models with dependent random effects
• principal understanding the statistical underpinnings of hierarchical models
• master the HLM user interface
• understand and use the HLM data management
• setup and run hierarchical models in HLM
• the course emphasis is the practical application of hierarchical models
Price: 980,- Euro net
Duration: 2 days
Dates:
03/18 2015 – 03/19 2015
07/01 2015 – 07/02 2015
10/14 2015 – 10/15 2015
Phone: +49 5542 933000
Structural Equation Models with LISREL 9.1 for Windows
The goal of this course is to introduce the modelling and analysis of causal relationships using so called structural equations, which play e. g. an important role in empirical social research. Using LISREL we will introduce the use of factor and regression analysis to model causal relationships based on latent variables. Latent variables are non observed variables which are sometimes turned into ' indicators' . This course teaches a multi step approach: identify proper latent variables, modelling a causal relationship and finally validating the model.
Topics:
• principal understanding the statistical underpinnings of causal analysis
• master the Lisrel user interface
• understand and use the Lisrel data management
• setup and run causal models in Lisrel
Prerequisites: This introductory course is designed for beginners in the field of causal analysis. No Lisrel experience is expected, basic knowledge of statistics helps, but is not required
Price: 980,- Euro net
Duration: 2 days
Workshops and Trainings
We provide you trainers with valuable expert knowledge. We keep your employees updated to help you earn top marks for your company. Our workshops and trainings will be tailored to your specific needs. Why don’t benefit from the long-standing experience and the huge specialist knowledge our experts can provide!
Please contact us for consulting or visit our webpage!
How to contact us: Phone: +49 5542-93300 Statcon B Schäfer Fax: +49 5542-933030 Schulstraße 2 [email protected] 37213 Witzenhausen
Upcoming Events:
2. EViews User Meeting September 2015
09/15 2015 – 09/16 2015
6. Design Expert User Meeting
For the date, please have a look: www.statcon.de