Climate Change Economics: Data Analysis with Excel — PickAClass
4.1 (13) ⏱ 2h 36m 📚 26 lessons 🎧 Audio version

Climate Change Economics: Data Analysis with Excel

Master essential data analysis techniques in Excel to measure environmental impacts and evaluate economic policies addressing global climate change.

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About this course

Understanding the economic impact of climate change requires more than just reading headlines—it demands the ability to work directly with real-world environmental data. This course equips you with the practical data skills needed to analyze climate trends and evaluate policy effectiveness. By working through written explanations, formula guides, and step-by-step data exercises, you will transition from a beginner to a confident data analyst. You will learn how to interpret key climate metrics, organize complex datasets, and draw meaningful economic conclusions that can influence policy decisions. What you'll learn: - Understand foundational economic concepts related to climate change and environmental policy - Clean and organize raw environmental datasets using modern Excel formulas and dynamic arrays - Calculate key climate metrics, including temperature anomalies and carbon emissions trends - Analyze the economic consequences of climate change through statistical summaries and data modeling - Evaluate different government policy interventions using data-driven insights The course starts with fundamental economic and climate terminology before guiding you through practical Excel data techniques. You will progress from basic data cleaning to policy analysis using structured, text-based walkthroughs and realistic scenarios. This course is designed for beginners interested in economics, environmental science, or policy analysis, with no prior data experience required. Start building your analytical skills and make sense of global climate data today.

What you'll get

  • 📜 Certificate of completion
    Add it to your LinkedIn profile
  • 💬 Personal AI tutor
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  • 🎧 Audio version included
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  • ♾️ Lifetime access
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  • 📱 Phone or computer
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  • 💸 14-day refund
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  • Short & focused
    2h 36m of practical content

Certificate of completion

Every course you complete on PickAClass issues a credential like this — original, with its own code, verifiable by URL, and detailed about what was actually demonstrated.

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PickAClass
Skills profile · verifiable
Document
Certificate of Mastery
This certifies that
Name Surname
has successfully demonstrated mastery of
Climate Change Economics: Data Analysis with Excel
Skills demonstrated
Behavioral pattern analysis
Foundational
1.2 hrs
Decision-architecture frameworks
Proficient
1.4 hrs
A/B test design
Proficient
1.7 hrs
Behavioral copywriting
Advanced
1.9 hrs
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PickAClass — Name Surname
Climate Change Economics: Data Analysis with Excel
Page 2 of 2
Performance detail
Coursework summary
Lessons completed 14 / 14
Practice questions 26 / 28
Assignments submitted 4 (avg 4.5 / 5)
Capstone project Reviewed — 4.6 / 5
Total practice 6.2 hrs
Performance benchmark
Cohort rank Top 12% of 1,625
Time to completion 11 days (median: 22)
Mastery score 91 / 100
Practice-question score 94%
Skill verification Verified Skill Path
Verify this credential
pickaclass.com/certificates/PCC-2026-X4F7-AP19
Issued under the academic standards of PickAClass. Skill levels reflect assessed performance against the course's competency rubric. This is an original credential of this platform.

Reviews (13)

Oliver Taylor AU Verified learner
★ 4 · August 11, 2026

Found it quite informative. The structure was logical, though some of the more advanced topics could have benefited from more detailed examples. Still worth it.

Ильяс Сапаров KZ Verified learner
★ 4 · August 7, 2026

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Aditya Kumar SG Verified learner
★ 5 · July 6, 2026

What a great learning experience! The instructor's energy was infectious, and the practical exercises were top-notch. Highly recommend!

Patrick Power IE Verified learner
★ 4 · July 6, 2026

Found this course to be quite beneficial. The way topics were introduced was effective. Just a minor point, some examples felt a bit dated.

松本 陸 JP
★ 5 · June 28, 2026

This provided a good overview. The explanations were decent, but sometimes I wished for more practical application scenarios. Still, a valuable learning experience.

إبراهيم عبدالله AE
★ 5 · June 27, 2026

Pretty good course. The information was relevant, and I could see myself using it. A few areas felt a bit rushed though.

Hadas Kleinman IL Verified learner
★ 5 · June 26, 2026

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

مريم إبراهيم BH
★ 3 · June 26, 2026

This really helped me solidify some key concepts. The explanations were excellent and the examples were very illustrative. Loved it!

Carlos Iván Navarro MX Verified learner
★ 4 · June 25, 2026

Loved the practical examples! They really brought the concepts to life. The course was well-organized and easy to navigate.

سارة الملا KW Verified learner
★ 3 · June 25, 2026

What a great learning experience! The flow of information was excellent, and the practical exercises were key. Very happy with this.

Ayşe Yılmaz TR Verified learner
★ 3 · June 22, 2026

Really enjoyed this. The structure made it easy to follow along, and the instructor's energy kept me engaged. So applicable to real-world scenarios.

Matías Vergara CL Verified learner
★ 4 · June 20, 2026

Really enjoyed the flow of this. The practical applications discussed were spot on. Great course!

أحمد محمد AE
★ 4 · May 28, 2026

Thoroughly enjoyed this course. The way the information was presented was excellent, and the practical applications were highlighted effectively. Great job!

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Just a phone or computer with internet. No installs, no special hardware.

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Yes — full refund within 14 days, no questions asked.

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Forever. Once you purchase, the course is yours to revisit anytime.

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Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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