Energy Analysis with Excel: Zero to Hero
Energy Analysis with Excel: Zero to Hero, available at $44.99, has an average rating of 5, with 16 lectures, 28 quizzes, based on 1 reviews, and has 5 subscribers.
You will learn about Learn how to use powerful functions like XLOOKUP, VLOOKUP, and INDEX & MATCH to efficiently retrieve and manage energy data. Gain the skills to predict energy usage with precision using Degree Days and regression analysis. Master advanced techniques such as CUSUM (Cumulative Sum) analysis to identify energy-saving opportunities. Learn to calculate key financial metrics like Payback Period, Benefit-Cost Ratio (BCR), and understand the Time Value of Money. Use Excel to evaluate the financial viability of energy efficiency projects, helping you make informed investment decisions. Understand how to use Excel for energy portfolio analysis, helping you prioritize projects based on their economic and environmental impact. Learn how to visualize and interpret complex energy data in Excel to uncover actionable insights. This course is ideal for individuals who are Energy Analysts or Energy Managers and Engineers or Financial Analysts in the Energy Sector or Facility Managers and Sustainability Officers or Engineering Students and Recent Graduates or Excel Enthusiasts or Building Science Professionals It is particularly useful for Energy Analysts or Energy Managers and Engineers or Financial Analysts in the Energy Sector or Facility Managers and Sustainability Officers or Engineering Students and Recent Graduates or Excel Enthusiasts or Building Science Professionals.
Enroll now: Energy Analysis with Excel: Zero to Hero
Summary
Title: Energy Analysis with Excel: Zero to Hero
Price: $44.99
Average Rating: 5
Number of Lectures: 16
Number of Quizzes: 28
Number of Published Lectures: 16
Number of Published Quizzes: 28
Number of Curriculum Items: 44
Number of Published Curriculum Objects: 44
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn how to use powerful functions like XLOOKUP, VLOOKUP, and INDEX & MATCH to efficiently retrieve and manage energy data.
- Gain the skills to predict energy usage with precision using Degree Days and regression analysis.
- Master advanced techniques such as CUSUM (Cumulative Sum) analysis to identify energy-saving opportunities.
- Learn to calculate key financial metrics like Payback Period, Benefit-Cost Ratio (BCR), and understand the Time Value of Money.
- Use Excel to evaluate the financial viability of energy efficiency projects, helping you make informed investment decisions.
- Understand how to use Excel for energy portfolio analysis, helping you prioritize projects based on their economic and environmental impact.
- Learn how to visualize and interpret complex energy data in Excel to uncover actionable insights.
Who Should Attend
- Energy Analysts
- Energy Managers and Engineers
- Financial Analysts in the Energy Sector
- Facility Managers and Sustainability Officers
- Engineering Students and Recent Graduates
- Excel Enthusiasts
- Building Science Professionals
Target Audiences
- Energy Analysts
- Energy Managers and Engineers
- Financial Analysts in the Energy Sector
- Facility Managers and Sustainability Officers
- Engineering Students and Recent Graduates
- Excel Enthusiasts
- Building Science Professionals
Unlock the power of Excel for energy analysis and take your skills from zero to hero. Whether you’re just starting out or looking to enhance your existing knowledge, this comprehensive course will guide you through every step of mastering data analysis techniques specific to energy projects.
What You’ll Learn:
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Energy Analysis Fundamentals: Understand the core concepts of energy data analysis and how to apply them in real-world scenarios.
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Excel Mastery: Learn how to use Excel efficiently, from basic functions to advanced formulas and data manipulation techniques.
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Data Visualization: Create insightful charts, graphs, and dashboards that clearly communicate your findings.
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Advanced Techniques: Dive into complex topics like energy modeling, forecasting, and scenario analysis using Excel.
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Practical Applications: Apply what you’ve learned to real energy projects, making your skills immediately relevant in the industry.
Who Should Enroll:
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Beginners: Those new to energy analysis who want to build a strong foundation.
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Professionals: Energy analysts, engineers, and data scientists looking to refine their Excel skills.
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Students: Individuals studying energy management, engineering, or related fields who want to excel in their coursework.
Course Features:
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Step-by-Step Tutorials: Follow along with detailed instructions and practical examples.
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Quizzes and Exercises: Test your knowledge and reinforce learning through hands-on practice.
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Lifetime Access: Enroll once and get lifetime access to all course materials and future updates.
Join today and become an expert in energy data analysis with Excel, equipped to tackle any project with confidence.
Course Curriculum
Chapter 1: Introduction to Energy Analysis using Excel
Lecture 1: Introduction to Energy Analysis using Excel
Chapter 2: Degree Days
Lecture 1: o Understanding Degree Days o Types: Heating Degree Days (HDD) and Cooling Degre
Chapter 3: Predicting Energy Consumption using Degree Days
Lecture 1: Predict energy consumption using regression analysis.
Chapter 4: Outlier Analysis
Lecture 1: Identify and analyze anomalies in energy data using advanced Excel tools
Chapter 5: CUSUM Analysis and Summary of Tools
Lecture 1: o Introduction to CUSUM (Cumulative Sum) Analysis o Tracking Energy Consumption
Chapter 6: Payback
Lecture 1: Utilize financial metrics like Payback Period to assess the viability
Chapter 7: Benefit-Cost Ratio
Lecture 1: Utilize financial metrics like Benefit-Cost Ratio (BCR) to assess the viability
Chapter 8: Understanding Time Value of Money
Lecture 1: o Master the concepts of Time Value of Money
Chapter 9: Present Worth of a Uniform Series
Lecture 1: o Master the concepts of Future Worth and the Time Value of Money
Chapter 10: Future Worth of a Uniform Series
Lecture 1: o Master the concepts of Future Worth and the Time Value of Money
Chapter 11: Understanding Energy Bills
Lecture 1: Components of an Energy Bill
Chapter 12: Weather-Adjusted Energy Consumption Analysis
Lecture 1: Weather-Adjusted Energy Consumption Analysis
Chapter 13: KPI – Dollar per Ton
Lecture 1: KPI – Dollar per Ton
Chapter 14: Energy Portfolio Analysis
Lecture 1: o Analyzing Energy Projects o Project Prioritization based on $/ton CO₂e and BCR
Lecture 2: Energy Savings Calculator
Chapter 15: Lookup Functions
Lecture 1: Lookup Functions
Instructors
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Syed Rakiul Huq
Instructor of Data Science using Excel
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- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 0 votes
- 5 stars: 1 votes
Frequently Asked Questions
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