Why Choose this Training Course

This highly practical 4-day course aims to provide upstream professionals with a comprehensive introduction to scientific programming in Python and scientific programming. Participants will get the necessary skills and knowledge of the main libraries for data wrangling (Pandas, SQL), data visualization (matplotlib, seaborn), numerical optimization and other topics allowing them to solve a large number of practical problems from the upstream domain and understand advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”.

Who Should Attend

A reservoir engineer, geologist or petrophysicist, and keen to obtain a fundamental understanding and practical knowledge of scientific programming (Python) and be prepared for advanced topics of data science and machine learning in the accompanying course “Applied Data Science and Machine Learning for Upstream Professionals”.

– Participants should have strong upstream domain knowledge with a minimum of 5 years experience.
– Prior programming experience (Python) is an advantage. Recommended pre-reading material on Python can be provided upon request.

Key Learning Objectives

• COMPREHEND the scientific programming in Python
• ACQUIRE the necessary skills and knowledge of the main libraries for data wrangling, data visualization, numerical optimization and other topics
• SOLVE a large number of practical problems from the upstream domain
• UNDERSTAND advanced topics of data science and machine learning

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