Courses

Descriptive and Diagnostic Data Analytics in Energy with Python
Data | Energy

Descriptive and Diagnostic Data Analytics in Energy with Python

Develop the skills required to effectively use Python for comprehensive data analysis and visualization tasks in the context of energy consumption and production.

By the end of this course, you will be well versed in performing basic ETL (Extract, Transform, Load) processes along with descriptive and diagnostic analysis using Python to extract relevant data points and derive meaningful insights in the context of energy consumption and production. 

Course duration
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$99

Recommended for mid-career professionals with at least 1-3 years of work experience, within the energy sector or a related field.
  • Execute basic ETL (Extract, Transform, Load) processes using Python
  • Apply correlation and regression analysis to resolve data challenges within an energy company
  • Develop clear and insightful visualizations
  • Conduct basic data cleaning
  • Calculate central tendencies
Technical requirements
  • Access to a Google account, desktop or web-based suite for data preparation, a web browser
Recommended prerequisite courses
  • N/A
Recommended prerequisite skills
  • Required to have basic/beginner level of computer literacy in navigating websites and understanding how to download and save files. It is also recommended to have some/basic level of understanding with coding (syntax, data type objects, etc.).