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Tue, Aug 08, 2017 @ 09:30 PM   $90   GA NYC (Manhattan), Classrooms (3rd Floor) , 10 East 21st Street
 
     
 
 
              

      
 
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Stefan Jansen Photo







Founder & CEO,
Applied AI






About This Class

See how the predictive power of data drives modern business.



Step into the world of data science with General Assembly. During our introductory workshop, explore the job Harvard Business Review has dubbed the sexiest of the 21st century, and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, youll:




  • Learn what data scientists do and the types of problems they solve.

  • Walk through the typical data science workflow and see how the pros identify powerful business predictions.

  • Explore key tools and processes data scientists use to analyze, visualize, and model data.

  • Apply what youve learned to a data set to produce your own recommendations.



Chart your own career path. Pick up where this workshop leaves off. Enhance your professional skill set in our 10-week, part-time Data Science course or become job-ready with our 12-week, full-time Data Science Immersive program.




About the Instructor


Stefan Jansen Photo





Founder & CEO,
Applied AI



Stefan has applied data science to business, investment and policy decisions since 2001. He has built an early warning system for financial crises, and worked as advisor to Central Banks and the World Bank before moving into fintech, where he focused on data-driven product and market strategy at Rv Worldwide, a payments tech company with operations in 15 countries. In 2013, he co-founded Infusive Ltd, a global consumer good investment company, and built the investment intelligence and predictive analytics capabilities behind several equity funds and VC investments. He also founded Applied AI that leverages ML algorithms for the finance and consumer industries, and co-founded Digital Natives to introduce state-of-the-art technology education in Mexico.



Stefan mostly uses Python for data science, machine learning and web development, alongside SQL, R and Stata, as well as the Hadoop stack and Spark when the data gets bigger. He holds Master degrees in Quantitative Economics from the Free University of Berlin and Harvard University, is a CFA Charterholder, and has worked in six (natural) languages.




 
 
 
 
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