Financial Forecasts: Learn from Errors is an advanced course for financial analysts and planners who want to move beyond just building models to building better models. In the real world, forecasts are rarely perfect. This course teaches you the critical skill of learning from those imperfections to drive continuous improvement and predictive accuracy.

Financial Forecasts: Learn from Errors

Financial Forecasts: Learn from Errors
This course is part of multiple programs.

Instructor: LearningMate
Included with
Recommended experience
What you'll learn
Analyze financial models to diagnose forecast errors and synthesize best practices from past successes to create actionable improvement checklists.
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February 2026
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There are 3 modules in this course
This module focuses on the first key skill of hybrid search: mastering the generative component. You will learn how to move beyond basic prompting to design, evaluate, and optimize a generative model's output for a specific search task. This involves selecting the right model, creating effective prompts, and most importantly, building a robust evaluation framework to measure performance and ensure the results are both relevant and reliable.
What's included
1 video1 reading2 assignments
Analyzing failure is only half the story. In this module, you will learn how to analyze success to create institutional knowledge. Using a case study of a renewable energy project that overcame challenges, you will learn to distill ad-hoc solutions into a structured, repeatable best-practice checklist.
What's included
1 video1 reading2 assignments
In this module, you will learn to connect the dots. You will take the skills of diagnosis and synthesis and learn how to apply them together to create a true system of continuous improvement, culminating in the final course project.
What's included
1 video1 reading1 assignment
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.

