Specialized Training Center | Introduction to Energy Data Science
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Introduction to Energy Data Science

Introduction to Energy Data Science
  • Overview
  • Registration
Introduction

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.

 

Goals

Participants will learn:

Software engineering skills, & interactive dashboard building using PyData software stack (NumPy, SciPy, Pandas, etc.) on petroleum data sets.

 

 

Target Groups

Subject Matter Experts with programming experience in Python

Program 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.

Code Date of meeting Place Course Price
PS13 28 July - 8 August 2024 USA $9,900 Register
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Accounting and Finance
Administration and Secretarial
Auditing and Governance, Risk and Compliance
Banking, Insurance and Financial Services
Business Continuity and Crisis Management
Construction Management
Data Management and Business Intelligence
Digital Innovation and Transformation
Government and Public Sector
Health, Safety and Environment
Human Resources
Interpersonal Skills and Self Development
Leadership and Management
Legal
Maintenance and Engineering
Marketing and Sales
PetroSkills (Oil & Gas)
Planning and Strategy Management
Purchasing and Supply Chain
Project Management
Public Relations
Quality and Productivity
Security Management
IT Management and Cyber Security
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