Module 1: Introduction to Renewable Energy Analytics

• Overview of Renewable Energy Sources and Technologies
• Basics of Data Analytics in Renewable Energy
• Introduction to Python for Data Analysis
• Introduction to Power BI for Data Visualization
• Practical session: Setting up Python and Power BI Environments

Module 2: Data Collection and Preprocessing

• Data Collection Methods in Renewable Energy
• Cleaning and Preprocessing Data with Python
• Handling Missing and Inconsistent Data
• Data Transformation and Feature Engineering
• Practical session: Preprocessing Renewable Energy Data with Python

Module 3: Exploratory Data Analysis (EDA)

• Introduction to EDA and Its Importance
• Visualizing Data Distributions and Trends
• Identifying Outliers and Anomalies
• Correlation Analysis and Feature Selection
• Practical session: Performing EDA on Renewable Energy Datasets

Module 4: Energy Generation Analysis

• Analyzing Solar Energy Data
• Analyzing Wind Energy Data
• Evaluating Energy Efficiency and Performance
• Comparative Analysis of Different Energy Sources
• Practical session: Analyzing Solar and Wind Energy Data with Python

Module 5: Energy Consumption Patterns

• Understanding Energy Consumption Data
• Segmenting Consumers Based on Consumption Patterns
• Identifying Peak and Off-Peak Consumption Periods
• Analyzing Load Profiles and Demand Response
• Practical session: Analyzing Energy Consumption Data with Python

Module 6: Time Series Analysis and Forecasting

• Introduction to Time Series Analysis
• Decomposing Time Series Data
• Applying Time Series Forecasting Models
• Evaluating Forecasting Accuracy
• Practical session: Forecasting Energy Generation and Consumption with Python

Module 7: Predictive Analytics for Renewable Energy

• Introduction to Predictive Analytics
• Building Regression Models for Energy Prediction
• Implementing Classification Models for Energy Events
• Model Evaluation and Validation
• Practical session: Building Predictive Models for Renewable Energy Data with Python

Module 8: Introduction to Power BI

• Overview of Power BI Interface and Features
• Importing Data into Power BI
• Creating Basic Visualizations
• Customizing Visualizations and Reports
• Practical session: Creating Basic Visualizations with Power BI

Module 9: Advanced Data Visualization with Power BI

• Creating Interactive Dashboards
• Using DAX Functions for Advanced Calculations
• Implementing Drill-Through and Drill-Down Features
• Enhancing Reports with Custom Visuals
• Practical session: Building Interactive Dashboards with Power BI

Module 10: Energy Performance Monitoring and Reporting

• Key Performance Indicators (KPIs) for Renewable Energy Projects
• Designing Performance Monitoring Systems
• Automating Data Refresh and Reporting
• Generating Comprehensive Reports for Stakeholders
• Practical session: Monitoring and Reporting Renewable Energy Performance with Power BI

Module 11: Geospatial Analysis in Renewable Energy

• Introduction to Geospatial Data and Analysis
• Mapping Renewable Energy Installations
• Analyzing Spatial Patterns and Trends
• Using Geospatial Data in Decision-Making
• Practical session: Geospatial Analysis with Python and Power BI

Module 12: Case Studies and Best Practices

• Analyzing Real-World Renewable Energy Projects
• Learning from Successful Implementations
• Identifying Challenges and Solutions
• Best Practices in Renewable Energy Analytics
• Practical session: Case Study Analysis and Discussion

Module 13: Integrating Python and Power BI

• Combining Python Scripts with Power BI Reports
• Automating Data Analysis and Visualization Workflows
• Enhancing Power BI Capabilities with Python
• Sharing Integrated Reports and Dashboards
• Practical session: Integrating Python and Power BI for Enhanced Analytics

Module 14: Data-Driven Decision Making

• Importance of Data-Driven Decision Making
• Developing Data-Driven Strategies for Renewable Energy
• Implementing Data-Driven Solutions in Projects
• Measuring the Impact of Data-Driven Decisions
• Practical session: Developing Data-Driven Strategies and Solutions

Module 15: Renewable Energy Project Management Analytics

• Introduction to Project Management Analytics
• Analyzing Project Timelines and Milestones
• Resource Allocation and Optimization
• Risk Analysis and Mitigation
• Practical session: Project Management Analytics for Renewable Energy Projects

Module 16: Energy Policy and Regulatory Analysis

• Understanding Energy Policies and Regulations
• Analyzing Policy Impact on Renewable Energy Projects
• Regulatory Compliance and Reporting
• Developing Policy Recommendations
• Practical session: Energy Policy and Regulatory Analysis

Module 17: Communicating Insights to Stakeholders

• Effective Communication of Analytical Insights
• Creating Persuasive Data Stories
• Presenting Data to Non-Technical Audiences
• Using Visuals to Support Decision-Making
• Practical session: Crafting and Presenting Data Stories

Module 18: Future Trends in Renewable Energy Analytics

• Emerging Technologies and Innovations
• Predictive Maintenance and IoT
• Machine Learning Applications in Renewable Energy
• Big Data and Advanced Analytics
• Practical session: Exploring Future Trends and Technologies

Trainer Experience

Our trainers are industry experts with extensive experience in renewable energy analytics, data science, and training delivery. They bring a wealth of knowledge and practical insights, having worked on numerous successful projects and initiatives in the renewable energy sector.

Quality statement

We are committed to delivering high-quality training that equips participants with the skills and knowledge they need to excel in their careers. Our courses are designed to be interactive, engaging, and relevant to industry needs.

Tailor-made courses

We offer customized training solutions to meet the specific needs of organizations. Our tailor-made courses are designed to address unique challenges and objectives, ensuring maximum impact and value.

Payment information

Payment should be made one week before the training starts.

Accommodation and airport pick-up

We provide assistance with accommodation and airport pick-up for participants traveling from outside the city. Please contact us for more details and arrangements.