Introduction to Energy Data Science - IEDS
About the Course
This course focuses on the application of programming visualizations and data science solutions to the energy industry. By the end of this course, you will be able to develop energy-focused dashboards and visualizations using free open-source Python packages such as Numpy, Pandas, and Matplotlib.
Target Audience
Subject Matter Experts with programming experience in Python
You Will Learn
Software engineering skills, & interactive dashboard building using PyData software stack (NumPy, SciPy, Pandas, etc.) on petroleum data sets.
Course Content
- Why Open-Source Software?
- The Jupyter Project
- Basic Unix/Linux File System Commands
- git and Github
- Essential Python Review
- Functions
- Lists, Tuples, and Dictionaries
- Loops and Conditionals
- Classes and Object-Oriented Programming
- Intake
- NumPy
- SciPy
- Pandas
- matplotlib
- Bokeh
- Panel
- Machine Learning Overview
- Scikit-Learn
- Code Quality & Reproducibility
- Prelude to Advanced Topics
Product Details
Categories:
UpstreamDisciplines:
Data Management, Science and AnalyticsLevels:
BasicProduct Type:
CourseFormats Available:
In-ClassroomAdditional
Request a Public Session
If you are interested in a public session of this course, please click the button below to request it.
Request Public SessionIn-House Training
This course is also available upon request as a private, on-site seminar. Contact us for details and pricing.
Request In-House TrainingNeed Help
Contact us if you have additional questions about how to register for or attend this course.
Contact Us