Seminar Applied Advanced Business Analytics Let the analytics tell the data‘s untold stories

Advanced Business Analytics creates sophisticated analytical models that harness data to improve business-decisions making subject to given business restrictions. The potential areas of applications are thereby manifold. The applied methods and technologies employed utilize data to, for instance, identify data patterns to predict customer needs, to provide accurate sales forecasts or to enhance decisions-making for production capacity planning within a supply chain. Advanced Business Analytics is therefore a significant value contribution to individuals, to companies and institutions that enhances productivity, foster transparency, strengthen resilience and boost efficiency. All those benefits translate into competitive advantages such as lower costs and improved service quality for customers. 
In our seminar Applied Advanced Business Analytics you will learn the basic methods applied in the stages of Advanced Business Analytics going from descriptive analytics to diagnostic analytics, to predictive analytics and to prescriptive analytics. You will learn the structured handling of data and the application of selected analytical methods applied to concrete practical examples. We are going to discuss useful statistical analysis methods, selected machine learning algorithms, methods for time series analysis and forecasting as well as mathematical optimization methods. Upon completion of Applied Advanced Analytics, you will be able to identify appropriate analytical approaches for your business questions, and to combine your business, data and analytical models to come up with an appropriate data driven answer. In addition to enhancing your analytical skills, the seminar will also build up on your personal confidence to use data for an improved business outcome.

 

Interesting facts at a glance

What you get
  • Advanced Business Analytics and its role in organizations as well as its contribution to digitalization in the business environment
  • Best practice for process management in data analysis and for the workflow of analytical questions
  • Identifying inter-dependencies in business questions and decisions and recognizing when to utilize human judgment
  • An understanding of state-off-the-art analytical methodologies in the stages from descriptive analytics to diagnostic analytics, to predictive analytics and to predictive analytics and their application in the business environment
  • Data preparation and processing for analytical models implemented in Python
  • Understand the principles of machine learning algorithms and apply selected methods to real-world problems
  • Structured time series analysis and the application of selected forecasting methods to make and to evaluate short-, mid- and long-term predictions
  • Translation of business decisions into mathematical optimization models to obtain data-driven decision support

     
Seminar modules

Advanced Business Analytics
The role of Advanced Business Analytics and Data Science in organizations
Digitalization and the role of Advanced Business Analytics, Data Science und Artificial Intelligence
Data Story Telling
Applied descriptive analytics

Python Programmierung
An application oriented introduction in Python Programming
Data processing and data handling in Python
Python and Data Science

Diagnostic Analytics
Regression analysis 
Use cases

Predictive Analytics
Machine Learning paradigm
Selected machine learning algorithm part 1
Use cases

Predictive Analytics
Selected machine learning Algorithmen Teil 2
Anwendungsfälle

Predictive Analytics
Time series analysis
Selected forecasting methods part 1
Evaluation of forecasting results
Use cases

Predictive Analytics
Selected forecasting methods part 2
Use cases

Prescriptive Analytics
Mathematical optimization for business decisions 
Use cases
Feedback
 

Target Group

The Applied Advanced Business Analytics seminar is aimed at:

  • Executives who want to base their decisions on data and modern analytical methods to gain competitive advantage.
  • Functional managers and business leaders who want to strengthen their analytical skills to ask the right questions in a data- and algorithm-driven world.
  • Team members who want to use data and analytics to find the best answers to business questions and challenges.
  • Consultants who want to advise their clients on the basis of data in order to make better and more objective recommendations.
  • Scientists and students who want to integrate data and analytical models into their research activities.
  • Individuals interested in how data and analytical methods can be applied to make data-driven decisions.
Job profiles

Business analytics can be used in any area that relies on data, e.g:

  • Project Management
  • Supply Chain Management (Inventory Management, Logistic, Distribution, Production, etc.)
  • Controlling
  • Risk Management
  • Research and Development
  • Marketing
  • Process Management
  • Business Development
Admission requirements

No previous academic education necessary

Teaching language

German and English

Seminar fees

EUR 1,950 EUR

 

Location

Campus für Weiterbildung TH Ingolstadt (supplemented by digital offerings)

Registration

Please register bindingly via this registration form.

Seminar dates

Seminar day 1 (Friday, 6 June 2025)

Mornings 8.15 am to 12.15 pm: Business Analytics
Afternoons 1 pm to 5.15 pm: Python Programming

 

Seminar day 2 (Friday, 13 June 2025)

Mornings 8.15 am to 12.15 pm: Diagnostic Analytics
Afternoons 1 pm to 5.15 pm: Predictive Analytics

 

Seminar day 3 (Friday, 20 June 2025)

Mornings 8.15 am to 12.15 pm: Predictive Analytics
Afternoons 1 pm to 5.15 pm: Predictive Analytics

 

Seminar day 4 (Friday, 27 June 2025)

Mornings 8.15 am to 12.15 pm: Predictive Analytics
Afternoons 1 pm to 5.15 pm: Prescriptive Analytics

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Seminar director

Prof. Dr. Markus Frey
Phone: +49 841 9348-4615
Room: F220
E-Mail:

Your contact person

Bettina Schnabel-Strehl
Phone: +49 841 9348-1471
Room: I105
E-Mail: