Cost Analyst (QS)
Profile Code: AL-RNW-02
- ₹10 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Quantity Surveying & Cost Estimation | Project Cost Control | Budgeting & Financial Analysis | Tendering & Procurement Management | Contract Administration | Cost Reporting & Forecasting | Excel, ERP & Data Analytics Tools | Risk Management & Commercial Awareness
Overview Video
About This Course
A Cost Analyst (Quantity Surveying - QS) in the renewable energy industry focuses on estimating, monitoring, and controlling project costs across solar, wind, and other energy projects. This course equips learners with the skills to analyze cost components, prepare budgets, track project expenditures, and ensure financial efficiency throughout the project lifecycle. Participants gain hands-on experience with tools like Excel, along with exposure to cost modeling and reporting techniques. The program emphasizes cost estimation, contract management, and variance analysis to support effective financial planning and control. Learners will understand how to optimize project costs while maintaining quality and timelines in large-scale energy projects. By the end of the course, they are prepared for roles in cost and project analytics, with career progression into project finance, commercial management, and cost leadership positions.
Course Content
4 modules · 12 weeks · 2hrs/dayPython/R Course
The **Python/R Course** covers basic to advanced concepts for Cost Analysts (QS) in the Renewable Energy industry, including Python and R fundamentals, data preprocessing, statistical analysis, regression models, time-series analysis, predictive modeling, machine learning basics, NumPy, Pandas, ggplot2, Matplotlib, automation scripting, API integration, cost estimation models, forecasting techniques, data visualization, report automation, model validation, optimization methods, and analytical workflows to evaluate project costs, improve estimation accuracy, optimize renewable energy investments, and support data-driven commercial decision-making.
Excel Course
The **Excel Course** covers basic to advanced concepts for Cost Analysts (QS) in the Renewable Energy industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, cost estimation, quantity take-off analysis, budgeting, financial modeling, variance analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, project cost tracking, cash flow analysis, and interactive dashboards to optimize project costing, monitor budgets, and support informed commercial and financial decisions.
Weather APIs Course
The **Weather APIs Course** covers basic to advanced concepts for Cost Analysts (QS) in the Renewable Energy industry, including API fundamentals, weather data integration, REST API usage, authentication methods, real-time weather data retrieval, historical weather analysis, solar irradiance data, wind speed analysis, climate forecasting, JSON data parsing, API automation, data validation, weather-based project planning, resource assessment, reporting, dashboard integration, predictive analytics support, and data visualization to improve renewable energy cost estimation, project scheduling, risk assessment, and investment planning.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Cost Analysts (QS) in the Renewable Energy industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, project cost dashboards, budget monitoring, cost variance analysis, financial performance reporting, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, data storytelling, and business intelligence techniques to transform project and financial data into actionable insights for cost optimization, strategic planning, and renewable energy project success.
Key Responsibilities
- Prepare and monitor project cost estimates and budgets for renewable energy projects
- Analyze quantities, procurement costs, and contractor invoices to ensure cost control
- Track project expenditures and identify cost variances and risks
- Support tendering, valuation, and change order management processes
- Prepare cost reports and collaborate with project, procurement, and finance teams to optimize project profitability
Growth Path
Tools Used
Perfect For
Civil, Mechanical, and Electrical Engineering Graduates | Quantity Surveying Professionals | Renewable Energy Project Aspirants | Project Controls & Commercial Professionals | Finance and Cost Management Enthusiasts | Individuals Interested in Infrastructure and Renewable Projects
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Renewable Energy
Related analyst roles inside the same industry.
&thumb=https%3A%2F%2Fpub-f84c0bacd22f4d89b498778ec0719533.r2.dev%2Fai%2Fimage%2F3132709206%2Flarge-preview.jpg){kind=link}