Data analytics foundations: focus on Generative AI and modern tools

• Mid-level management who needs to understand the potential of data analytics in decision-making processes
• Aspiring data analysts looking to gain foundational knowledge in the field of data analytics
• Business professionals interested in data analytics application in their respective areas
• Tech enthusiasts curious about the role of generative AI in enhancing data analytics

Welcome to the foundational course in data analytics, where we explore the essentials of data handling and analysis, enhanced with a modern twist of generative AI technologies. We will answer questions such as the following:

• How can generative AI transform data analytics landscape?
• What new opportunities does it bring to the field?

Learn about key tools like Alteryx, Power BI, and Power Query, and discover how they fit into the broader context of data analysis.

By the end of this training, participants will be able to:

• understand the basics and core principles of data analytics;
• gain insights into generative AI influence on data analytics;
• get an introduction to the key tools and their place in the data analytics workflow;
• explore current and future trends in data analytics and how generative AI is influencing the field;
• get an introduction to powerful analytics tools like Alteryx, Power BI, and Power Query;
• develop a conceptual grasp of analysing and interpreting data using modern tools;
• discover emerging trends in data analytics and their potential impact.

• Data analytics fundamentals: brief overview of core principles and decision-making value.
• Data cleaning and preparation: importance of clean data, introduction to tools like Alteryx.
• Data integration basics: merging diverse data sources, using tools such as Power Query.
• Data transformation introduction: overview of transformation processes and Alteryx's role.
• Data visualisation overview: the role of effective data presentation, exampled with Power BI.
• Generative AI impact: brief look at generative AI's role in data analytics.
• Future trends in data analytics: quick insight into evolving technologies and methodologies.

This training is coordinated by Thierry Kremser, Partner at PwC Luxembourg and Andreas Braun, Managing Director at PwC Luxembourg.

• Thierry Kremser is a partner and Advisory Deputy Leader at PwC Luxembourg, specialising in consulting services for operational companies and the public sector, as well as leading PwC’s AI and GenAI services. With an engineering background from ENSTA Paris Tech, he began his career in technology innovation within the Travel and Telecom industries before moving to Luxembourg in 2001 to focus on IT pre-sales and digital transformation projects for European institutions. Since joining PwC in 2004, Thierry has become a trusted advisor in digital transformation, cloud, cybersecurity, data & AI, and IT strategy, particularly in the non-financial sector, driving large-scale cloud migrations and core activity digitalisation for private and public organisations.
• Andreas Braun is a managing director specialising in Artificial Intelligence and data science within technology advisory, focusing on AI and machine learning applications in biometrics, healthcare, and border management. With over 15 years of experience, he leads research and innovation projects in biometrics, applied machine learning, and industrial AI. Previously, he was a principal investigator at the Center for Research in Security and Privacy (CRISP) in Darmstadt, contributing to industry transfer, international collaboration, and biometric standardization. Andreas holds a doctorate in computer science, has authored over 100 scientific publications and patents, and is certified as a PMP and MSP. He is also a member of the European AI Alliance and has led notable projects including AI-driven customer service chatbots, generative AI for AML and KYC, federated data platforms, AI governance for EU institutions, and AI tools for knowledge management.