Program Objectives
This training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of Balance-Sheet Accountants; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.
The following typical tasks from the daily work of Balance-Sheet Accountants serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Quarterly closing
- Consolidation logic
- Audit trails
- Notes drafting
- Group reporting
PRINCE2 Agile Practitioner (Version 2)
The PRINCE2 Agile Practitioner (Version 2) course builds upon foundational knowledge, focusing on the practical application of PRINCE2 Agile® in real-world scenarios. It covers the synthesis of control and agility, reinforcing the seven core principles, practices, and processes of PRINCE2®. Emphasis is placed on tailoring PRINCE2® for agile environments, including assessing project landscapes, tailoring initiation, understanding agile contracts, forming teams, managing scope creep, ensuring quality under pressure, addressing progress concerns, mitigating risks, and effective upward management. The course also delves into management products, the consistent application of PRINCE2® in project contexts, and includes extensive question banks, exercises, case studies, and exam preparation.
AI-Powered Data AnalysisThe AI-Powered Data Analysis course focuses on unlocking the potential of data through artificial intelligence. Participants will learn to decipher hidden patterns, gain immediate actionable insights, and utilize AI tools for data preparation, visualization, and analysis. Key topics include an AI analysis cockpit with co-pilot functionality, data preparation and visualization techniques, automating processes with AI code accelerators like GitHub Copilot, and establishing an AI analysis pipeline from raw data to business strategy. The curriculum covers machine learning fundamentals, supervised and unsupervised learning concepts and applications, data cleaning, deep learning in data analysis, feature engineering, dimensionality reduction, model evaluation, performance metrics, and the interpretability and explainability of AI models. Ethical considerations and data privacy in AI-driven analysis are also addressed, along with the practical application of AI analysis tools and software solutions through a dedicated project.
Learning ObjectivesPRINCE2 Agile Practitioner (Version 2)
- Apply PRINCE2 Agile® principles to complex project scenarios.
- Flexibly adapt PRINCE2 Agile® to various project challenges.
- Demonstrate expertise in hybrid project management.
- Effectively tailor PRINCE2® for agile environments.
- Understand and utilize PRINCE2 Agile® management products.
AI-Powered Data Analysis
- Decode hidden data patterns using AI-powered analytics.
- Generate actionable insights from data for immediate use.
- Prepare and visualize data effectively.
- Automate data analysis tasks using AI tools.
- Understand and apply machine learning concepts (supervised and unsupervised learning).
- Evaluate and interpret AI model performance.
- Address ethical considerations and data privacy in AI applications.
- Implement AI-powered data analysis solutions in practical projects.
Career Prospects
This training program is designed for individuals seeking to enhance their capabilities in project management and data science. Graduates will be well-positioned for roles requiring expertise in hybrid project management, such as PRINCE2 Agile® project managers, agile coaches, and project leads. The AI-powered data analysis component prepares participants for positions like data analysts, AI specialists, machine learning engineers, and business intelligence professionals. The combined skill set is valuable in various industries for roles involving the development, implementation, and management of complex projects and data-driven strategies.