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"Applied Advanced Business Analytics" seminar

Let the analytics reveal the data’s untold stories

Advanced Business Analytics deals with advanced mathematical analytical methods which, based on data and taking economic context into account, are used to make better business decisions. The applications are wide-ranging. For example, the methodologies and technologies employed make it possible to identify customer needs more effectively and quickly, to produce valid and meaningful forecasts of future sales figures, or to make specific production decisions within a supply chain. Advanced Business Analytics therefore represents significant added value for companies, businesses and organisations, leading to improvements in productivity, transparency, resilience and efficiency, as well as, ultimately, competitive advantages.

In our Applied Advanced Business Analytics seminar, you will learn the fundamental methodologies applied across the stages of Advanced Business Analytics – from descriptive through diagnostic to predictive and prescriptive. You will learn how to handle data in a structured manner and how to apply selected analytical methods using practical examples. Among other things, we will cover statistical analysis techniques, selected machine learning algorithms, methods for time series analysis and forecasting, as well as mathematical optimisation techniques. The seminar will provide you with a foundation for combining business, data and analytical models to address your business questions in such a way as to obtain the best possible answer. In addition to improving your analytical skills, the seminar is also designed to boost your confidence in using data to achieve better business results.

 

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

Seminar leader

Your contact person

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