CFA® Program candidate resources
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SIGN IN REQUIRED Curriculum outlines
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Level I Curriculum outline
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Level II Curriculum outline
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Level III Curriculum outline
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Practical skills modules overview
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Financial Modeling
Build a three-statement financial model showcasing an understanding of business issues, design best practices, and technical skills.
Python Programming Fundamentals
Develop fluency in writing Python code for finance-based data science projects using Jupyter Notebooks.
Portfolio Development and Construction
Develop, implement, and manage an institutional investor portfolio, drawing from lessons learned in the CFA curriculum and using advanced Excel skills.
Analyst Skills
Analyze best-in-class practices of successful equity research analysts and apply them to your own practice.
Python, Data Science and AI
Develop the skills to execute financial data science workflows using Python by applying advanced machine learning techniques from forecasting EPS changes to sentiment analysis.
Other resources
Find an approved prep provider
For additional exam preparation, view our list of approved prep providers.
Mock exam and practice questions
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Become a member whilst a candidate
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Exam Day
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Explore test center locations
Schedule Your Exam
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SIGN IN REQUIRED Do you require disabled access? Request disability accommodation
What to expect on exam day
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What to expect on exam day
An overview of a typical exam day, covering the schedule, logistics, policies, and an illustrative video.
Exam Policies
Be sure you are aware of all policies that could impact your exam day experience.
Exam format
Get to know the software features of the exam using Prometric’s tutorial.
Exam ID requirements
Special testing accommodation must be requested by certain deadlines for each new exam registration.
Post Exam
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Your exam results
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Understanding your results
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What to do if you don't pass
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