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Certificates: Certificate "Process manager with TÜV Rheinland certified qualification"
Statistics" certificate -
Examination: Practical project work with final presentations
Process manager with TÜV Rheinland-certified qualification -
Teaching Times: Full-timeMonday to Friday from 8:30 a.m. to 3:35 p.m. (in weeks with public holidays from 8:30 a.m. to 5:10 p.m.)
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Language of Instruction: German
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Duration: 8 Weeks
Process manager with TÜV Rheinland-certified qualification
Basics of process management (approx. 2 days)
Understanding and terms in process management
Components of processes
Process map and process model
Roles in process management
Strategic and operational process management
Process management, organizational environment and process models
Preparing, conducting and leading process workshops
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Operational process management (approx. 4 days)
Operational process management cycle
Deriving operational process goals
Process-oriented organizational development
Systemic order clarification
Develop target processes
Introducing, executing, measuring and analyzing processes
Change management during process rollout
Dealing with resistance and conflicts
Process model "Introduction of BPM"
Introduction of OPM (practical examples)
Strategic process management (approx. 3 days)
Defining goals
Use process-oriented balanced scorecard
Developing a process map
Plan and control processes strategically
Integrate strategic and operational process management
Process-oriented organization (approx. 4 days)
Challenges in the design of the process-oriented organization
Setting up BPM governance
Forms of the process-oriented organization
Designing a process model
Aligning technology with processes
Integrating existing methods
Leading a process-oriented organization (approx. 4 days)
Challenges in managing the process-oriented organization
Introducing and implementing role concepts for process and line
Deriving competencies from processes
Establishing a learning organization
Accompanying change with process-oriented organizational development
Procedure models for the introduction of the process-oriented organization
Promoting a process-oriented culture
Leadership in the process-oriented organization
Project work, certification preparation and certification examination "Process manager with TÜV Rheinland certified qualification" (approx. 3 days)
Statistics
Statistical basics (approx. 6 days)
Measurement theory basics (population and sample, sample types, measurement and scale levels)
Univariate descriptive statistics (frequency distributions, central measures, measures of dispersion, standard value, histograms, bar charts, pie charts, line charts and box plots)
Bivariate descriptive statistics (measures of correlation, correlation coefficients, crosstabs, scatter plots and grouped bar charts)
Basics of inductive inferential statistics (probability distribution, normal distribution, mean value distribution, significance test, Fisher's null hypothesis test, effect size, parameter estimation, confidence intervals, error bar charts, power analyses and determining the optimum sample size)
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Methods for comparing two groups (approx. 5 days)
z- and t-test for a sample (deviation from a specified value)
t-test for the mean difference between two independent/connected samples
Testing the effectiveness of actions, measures, interventions and other changes with t-tests (pretest-posttest designs with two groups)
Supporting significance tests (Anderson-Darling test, Ryan-Joiner test, Levene test, Bonnet test, significance test for correlations)
Nonparametric methods (Wilcoxon test, sign test, Mann-Whitney test)
Contingency analyses (binomial test, Fisher's exact test, chi-square test, cross-tabulations with measures of association)
Methods for comparing the means of several groups (approx. 5 days)
One- and two-factorial analysis of variance (simple and balanced ANOVA)
Multi-factorial analysis of variance (general linear model)
Fixed, random, crossed and nested factors
Multiple comparison methods (Tukey-HSD, Dunnett, Hsu-MCB, Games-Howell)
Interaction analysis (analysis of interaction effects)
Selectivity and power analysis for variance analyses
Introduction to Design of Experiments (DoE) (approx. 1 day)
Full and partial factorial experimental designs
Project work (approx. 3 days)
To consolidate the content learned
Presentation of the project results
Changes are possible. The course content is updated regularly.
After this course, you will be familiar with approaches, process models and systems to make processes even more successful.
You will also understand the basics of statistics, be able to process and evaluate data and present, explain and interpret statistical data analyses and results using graphics.
The course is aimed at people who want to take on process responsibility, managers, division and department heads and people with knowledge of project and quality management.
Users and specialists from social and market research, business administration (marketing, business intelligence), technical areas, production, quality assurance and research in the healthcare sector.
Holistic process management takes into account corporate structures and culture as well as management principles and is therefore a decisive factor for the success of the company. Process managers are therefore in demand in large and medium-sized companies in all sectors.
A sound knowledge of statistics is a valuable additional qualification that is in great demand in industrial research and development, in drug development, in the supervision of medical studies, in finance and insurance, in information technology or in public administration.Your meaningful certificate provides a detailed insight into the qualifications you have acquired and improves your career prospects.
Didactic concept
Your lecturers are highly qualified both professionally and didactically and will teach you from the first to the last day (no self-study system).
You will learn in effective small groups. The courses usually consist of 6 to 25 participants. The general lessons are supplemented by numerous practical exercises in all course modules. The practice phase is an important part of the course, as it is during this time that you process what you have just learned and gain confidence and routine in its application. The final section of the course involves a project, a case study or a final exam.
Virtual classroom alfaview®
Lessons take place using modern alfaview® video technology - either from the comfort of your own home or at our premises at Bildungszentrum. The entire course can see each other face-to-face via alfaview®, communicate with each other in lip-sync voice quality and work on joint projects. Of course, you can also see and talk to your connected trainers live at any time and you will be taught by your lecturers in real time for the entire duration of the course. The lessons are not e-learning, but real live face-to-face lessons via video technology.
The courses at alfatraining are funded by Agentur für Arbeit and are certified in accordance with the AZAV approval regulation. When submitting a Bildungsgutscheinor Aktivierungs- und Vermittlungsgutschein, the entire course costs are usually covered by your funding body.
Funding is also possible via Europäischen Sozialfonds (ESF), Deutsche Rentenversicherung (DRV) or regional funding programs. As a regular soldier, you have the option of attending further training courses via Berufsförderungsdienst (BFD). Companies can also have their employees qualified via funding from Agentur für Arbeit (Qualifizierungschancengesetz).