Introduction to Energy Data Science - IEDS

Course

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:

Upstream

Levels:

Basic

Product Type:

Course

Formats Available:

In-Classroom

In-Classroom Format

'24
Jul
29
'24
Jul
31
In-Classroom
in Houston
Course
$3,475.00
Register

Additional

If you are interested in a public session of this course, please click the button below to request it.

Request Public Session

This course is also available upon request as a private, on-site seminar. Contact us for details and pricing.

Request In-House Training

Contact us if you have additional questions about how to register for or attend this course.

Contact Us
Print PDF