Start your AI & Data Analytics journey

Data Science and Machine Learning are powerful techniques that solve various business problems such as automation for cost saving, forecasting of sales or detecting suspicious activities in financial transactions. A rapidly growing amount and complexity of data, models and applications require appropriate approaches to managing those resources and staying up-to-date in a constantly changing technological landscape.

Economics and econometric methods analyse individual and collective decision-making, providing insights into underlying mechanisms that eventually determine actual behavior. Rigorous scientific and mathematical foundations suggest optimal behavior and established methods such as regression analysis, time series analysis and experimental designs allow to investigate the validity of theoretical predictions.

Economic Data Science integrates frameworks and techniques from statistics, engineering and computer science and combines sharp economic reasoning with the power of large datasets, predictive models and computational resources. This powerful interaction yields substantial productivity gains, ranging from a more efficient allocation of resources within a firm, deeper understanding of market and consumer research such as optimal pricing to evidence-based strategic and managerial decision-making.

Learn how to leverage Economic Data science in your organization

WHY CHOOSE AI4ECON?

You'll benefit immensely from running a workshop on Data Science and Machine Learning for Economics and Business if you want to:

  • Dive deep into the entire data science stack, equipping yourself with essential skills and techniques to leverage the power of data-driven insights.

  • Master Python basics, version control, SQL, databases, webscraping, APIs, machine learning workflows, model tracking, web application development, and natural language processing.

  • Engage in hands-on exercises tailored to economic problem-solving, immediately applying your newfound knowledge.

  • Possess a diverse toolkit by the program's end, ready to drive impactful research and deliver innovative insights.

  • Unlock new avenues of research, enhance analytical capabilities, and contribute to your organization's mission of producing high-quality economic insights.

Trainings & Workshops

Master the foundations of a modern data-driven and programmatic approach to solve economic and business problems. Learn how to apply Python programming to automate workflows, analyse large datasets, structure your projects in a readable and reproducible way, collaborate with co-workers and assign tasks through a highly structured system as well as to manage and query databases within your organization.

Data Science & Economics
Webscraping

Dive into the depths of the internet and learn about the underlying technologies that facilitate the world wide web. Collect vast amounts of data in unstructured and structured formats, automate your browser's interactions and develop your own web applications which serve internal and external clients.

Understand how sophisticated and cutting-edge algorithms work, what their strengths and limitations are and how you can train your own algorithms to solve practical tasks such as customer churn prediction, sales forecasting or report summarization. Master the end-to-end process of a Machine Learning workflow from ideation, data preparation to deployment in production and harness the versatility of fundamental statistical and machine learning concepts.

Machine Learning

Testimonials

"Thank you very much for the interesting workshop! It was definitely fun and super insightful and it was really nice to meet you. Thank you also for the useful notebooks that you shared with us, they’re very useful."

Allianz Group Economic Research

"Thanks for your contribution to our division, I am sure that your course has left a great legacy in the bank."

Michele Lenza, Head of Section Monetary Policy Research

"It was a great course and I took a lot from it. It was also a lot of fun :)"

Data Analyst / Specialist

Workshop on automatic data retrieval and visualization techniques for financial indicators

Zahlungsbilanz-, Wechselkurs- und Kapitalmarktanalyse

About me

I'm an economist by training and have worked in data-centric roles with model-based approaches at different institutions such as technology firms, commercial banks and central banks, mainly in (macro) economic research departments. Driven by curiosity and an experimental approach to solving business and economic problems I started programming about ten years ago (with a large-scale webscraping project) and integrated novel tools and techniques into my research toolbox over the years. I believe that the greatest challenges to humanity and economies require unconventional measures that start with the individual; routines and outdated practices may hinder progress and limited knowledge about existing solutions prevent oneself from asking the right questions.

Currently, I'm pursuing a PhD in Economics at Ludwig-Maximilians-University Munich and work as a Junior Economist at the ifo Institute. I like to share my knowledge and enable others to utilize technologies in the most effective ways, to inspire and motivate as well as to contribute to institutional growth. I enjoy meeting new and interesting people and organizations, to learn about their needs and challenges and guide them through their own data and economics journey.

Get in touch

Please reach out to receive more details or request a training/workshop on Data Science and Machine Learning for Economics and Business