Statistic and Data in Geneva

The aim of this training course is to equip participants with the necessary skills and knowledge to collect, analyze, and interpret economic data for effective decision-making in business and government.

The aim of this training course is to provide participants with a comprehensive understanding of applied statistics and its applications in various industries.

The aim of this training course is to provide participants with a comprehensive understanding of actuarial statistics and its applications in various industries.

To equip participants with the fundamental knowledge and skills necessary for managing fixed assets effectively within an organization.

To empower participants with the skills to leverage business intelligence (BI) and analytics tools to transform data into actionable insights and drive business decision-making.

To train professionals in comprehensive data management practices, from data governance and architecture to quality control and security, equipping them with the skills needed to become Certified Data Management Professionals.

To equip participants with the foundational skills and tools needed to become proficient data analysts, utilizing IBM's state-of-the-art software and platforms.

To equip professionals with the skills and knowledge necessary to efficiently compile, manage, and report data and information, ensuring accurate documentation and effective communication within their organizations.

To equip professionals with advanced skills and knowledge necessary to leverage artificial intelligence (AI) and data analysis tools using Excel and Power BI for enhanced decision-making, data visualization, and business intelligence.

To equip participants with comprehensive knowledge and advanced skills in digitization, data protection, and file management, ensuring the secure, efficient, and compliant handling of digital information.

To equip participants with advanced knowledge and skills in data science processes, enabling them to effectively manage, analyze, and extract insights from complex data sets to drive informed decision-making and innovation.

To equip participants with the advanced skills and knowledge required to effectively manage, protect, and organize digital data, ensuring data integrity, security, and accessibility.