DATA FOR RENEWABLE ENERGY SYSTEMS Lesson 3: Data Analysis Techniques, Part A
This lesson covers:
1. Introduction to Statistical Software (Python)
2. Descriptive and Inferential Statistics in Python
3. Data Cleaning and Preparation
4. Introduction to Data Visualization using Matplotlib/ Seaborn
Energy ProductionCapacity buildingData collectionAssessment of Renewable Energy Sources and integration of RES in sustainable energy scenariosMonitoring Evaluation and LearningStatistical approach
Comments ()