-
Certificates: Certificate "Statistics and data analysis"
Certificate "Excel Specialist" -
Additional Certificates: Microsoft Excel" certificate
Certificate "Microsoft Excel for advanced users" -
Examination: Praxisbezogene Projektarbeiten mit Abschlusspräsentationen
Modulprüfung Microsoft Excel -
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.)
-
Language of Instruction: German
-
Duration: 8 Weeks
Spreadsheet calculation with Microsoft Excel
Spreadsheet calculation with Excel (full-time 10 days/part-time 20 days)
Basics of table editing
Working with formulas and functions
Formatting cells, editing and printing tables
Filling, moving and copying (auto-fill, flash preview)
Sorting and filtering data
Calculating with date and time
Creating and editing charts
Chart templates and chart layouts
Manage workbooks (sheet protection, workbook protection)
Use individual print settings
Using Excel templates
Formula help and troubleshooting with AI
Microsoft Excel for advanced users
Spreadsheet calculation with Excel (approx. 8 days)
Using Excel as a database: Selecting (auto and special filters), sorting, evaluating lists (tables)
Using functions, performing calculations with functions, getting to know references
Matrix functions: SREFERENCE, WREFERENCE, XREFERENCE
Working with names or named ranges
Creating, editing and evaluating pivot tables
Special functionalities such as conditional formats, validity rules, user-defined formats
Calculations with cell ranges (matrices)
Creating different chart types
Macro recording
Artificial intelligence (AI) in the work process
Presentation of specific AI technologies
and possible applications in the professional environment
Project work (approx. 2 days)
To consolidate the content learned
Presentation of the project results
Statistics and data analysis
Statistical basics (approx. 6 days)
Measurement theory basics (population, sample, sample types, measurement, scale levels)
Univariate descriptive statistics (frequency distributions, central measures, measures of dispersion, standardization, histograms, bar charts, pie charts, line charts, box plots)
Bivariate descriptive statistics (measures of correlation, correlation coefficients, crosstabs, scatter plots, grouped bar charts)
Basics of inductive inferential statistics (probability distributions, normal distribution, sampling distribution of the mean, significance test, null hypothesis test, significance level, effect size, parameter estimation, confidence intervals, error bar charts, power analysis, sample size)
Data preparation and data cleansing with suitable software
Descriptive analysis
Visualization of statistical results
AI-supported analysis and interpretation of statistical results
Methods for comparing two groups (approx. 5 days)
z-test, t-test for one sample
t-test for independent and related samples
Pretest-posttest designs with two groups
Supporting significance tests (Anderson-Darling test, Ryan-Joiner test, Levene test, Bonett 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, measures of association)
Interpretation of test results
AI-supported interpretation of results
Basics of regression analysis (approx. 2 days)
Linear regression
Model interpretation
AI-supported model interpretation
Correlation analysis
Methods for comparing the means of several groups (approx. 3 days)
One-factorial and two-factorial analysis of variance (ANOVA)
Post-hoc analyses
Interpretation of group differences
Multi-factorial analysis of variance (general linear model)
Fixed, random, crossed and nested factors
Multiple comparison methods (Tukey-HSD, Dunnett, Games-Howell)
Interaction analysis
Power analysis for variance analyses
Introduction to Design of Experiments (DoE) (approx. 1 day)
Full factorial 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.
Once you have completed the course, you will understand the concept of spreadsheets and be able to use Excel quickly and confidently. You will also be able to work confidently with formulas and functions and create, edit and evaluate large tables. You will also be able to use pivot tables and make good use of references.
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.
Users and specialists from social and market research, business administration (marketing, business intelligence), technical areas, production, quality assurance and research in the healthcare sector.
In-depth knowledge of Microsoft Excel is in demand across all sectors, for example in banking and insurance, accounting and controlling, purchasing and supply chain management, logistics, production planning and control, and administration.
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).