Forecasting Analyst (Generation)
Profile Code: AL-OIL-03
- ₹10 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Power Generation Forecasting | Predictive Analytics & Modeling | Time-Series Analysis | Weather Data Interpretation | Energy Market Fundamentals | Data Visualization & Reporting | Excel, SQL & Python | Forecast Accuracy & Performance Management
Overview Video

About This Course
A Forecasting Analyst in the oil & gas, energy, and utilities industry focuses on predicting demand, production, and price trends to support planning and operational decisions. This course equips learners with the skills to analyze historical data, identify patterns, and build forecasting models for energy consumption, supply, and market movements. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards for data analysis and reporting. The program emphasizes demand and supply forecasting, trend analysis, and scenario-based planning in dynamic energy markets. Learners will understand how to manage volatility, improve forecast accuracy, and support strategic planning. By the end of the course, they are prepared for roles in forecasting and energy analytics, with career progression into energy planning, strategy, and operations leadership positions.
Course Content
4 modules · 12 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Forecasting Analysts (Generation) in the Oil & Gas, Energy, and Utilities industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, generation forecasting, energy production analysis, demand forecasting, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, trend analysis, variance analysis, operational reporting, and interactive dashboards to forecast power generation, optimize resource utilization, improve operational planning, and support data-driven business decision-making.
Python/R Course
The **Python/R Course** covers basic to advanced concepts for Forecasting Analysts (Generation) in the Oil & Gas, Energy, and Utilities industry, including Python and R fundamentals, data preprocessing, statistical analysis, time-series forecasting, regression analysis, probability distributions, predictive modeling, machine learning fundamentals, NumPy, Pandas, Matplotlib, ggplot2, data visualization, model validation, forecasting automation, API integration, reporting automation, energy generation analysis, demand prediction, and performance optimization to build accurate forecasting models and support strategic energy planning and operational efficiency.
SQL Course
The **SQL Course** covers basic to advanced concepts for Forecasting Analysts (Generation) in the Oil & Gas, Energy, and Utilities industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, energy data extraction, generation reporting, historical trend analysis, forecasting data preparation, data validation, operational analytics, and large dataset management to retrieve, transform, and analyze generation data for accurate forecasting and strategic decision-making.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Forecasting Analysts (Generation) in the Oil & Gas, Energy, and Utilities industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, generation performance dashboards, energy forecasting reports, plant efficiency monitoring, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, compliance reporting, performance monitoring, trend analysis, data storytelling, and business intelligence techniques to transform generation and operational data into actionable insights for energy optimization, strategic planning, and business growth.
Key Responsibilities
- Analyze historical generation and weather data to forecast power production
- Develop short-term and long-term generation forecasting models
- Monitor forecast accuracy and refine prediction methodologies
- Prepare reports to support grid operations and energy trading decisions
- Collaborate with operations and planning teams to optimize generation scheduling and resource utilization
Growth Path
Tools Used
Perfect For
Electrical Engineering Graduates | Energy & Utilities Professionals | Data Analytics Enthusiasts | Renewable Energy Specialists | Power System Engineers | Professionals Interested in Energy Forecasting and Grid Operations
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Oil & Gas / Energy / Utilities
Related analyst roles inside the same industry.


