Overview

Energy Data Science Overview - IEDS

About the Course

 This course focuses on using data science and programming visualizations to solve problems in the energy sector. Using free open-source Python programs like Numpy, Pandas, and Matplotlib, you will be able to create dashboards and visualizations with an emphasis on energy at the end of this course.

 Target Audience

 Python programmers with expertise in the relevant fields

 Course Objectives

•  Utilizing the PyData software stack (NumPy, SciPy, Pandas, etc.) and interactive dashboard building techniques on petroleum data sets.

Course Outlines

•  Why Use Open Source Software? Basic Unix/Linux File System Commands for
• The Jupyter Project: git and Github
• Python Review Functions You Must Know
• Loops and conditionals Lists, tuples, and dictionaries
• Object-oriented programming and classes
• Pandas NumPy SciPy Overview of the matplotlib Bokeh Panel for Machine Learning Scikit-Learn
•  Code Reproducibility & Quality Advancement of Topics