Using Python to tackle Data Science challenges

Eric Michiels


This lecture makes the link between the profession of the Data Scientist, with the practical application using Python and its visualization libraries. So, not only the data collection and manipulation aspects are discussed, but also the analysis and visualization tasks and approaches. Importantly, how do you start from a challenge, and how do you get to a solution by using Python? This lecture demystifies the job of the Data Scientist and lowers the thrashold to enter this wonderful discipline !


Photo of Eric Michiels

Eric Michiels is Executive Architect at IBM (Level 3 Certified a.k.a. "Thought Leader"). Eric has occupied multiple roles in his career: Developer, Analyst, Database Administrator, Consultant, Instructor, Education Manager, IT Specialist, Team Leader, and Architect. As such Eric has a broad knowledge with multiple technologies, architectural styles, methodologies, project approaches, and industries. He also has some areas with deep dive skills: Analytics, Artificial Intelligence, Cloud Computing, Quantum Computing and Mainframe. He also has experience with Internet of Things, Blockchain and Robotic Process Automation. As Master Mathematics and Master Informatics, Eric has maintained a strong affinity with the Academic World and regularly lectures at Universities, Colleges and High Schools.

Requested 8 times

Lecture languages



Data Science / Machine Learning

Duration options

2 hours

Travel/delivery options

On DemandOutside of country: Open for discussionRemote via video conference



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