What will you in the Statistical Inference Course
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Understand the process of drawing conclusions about populations or scientific truths from data
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Describe variability, distributions, limits, and confidence intervals
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Use p-values, confidence intervals, and permutation tests
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Make informed data analysis decisions
Program Overview
1. Probability & Expected Values
Duration: 18 hours
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Fundamentals of probability, random variables, expectations
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Topics include probability mass functions, density functions, conditional probability, Bayes’ rule, independence, and expected values
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Includes 10 videos, 11 readings, 1 quiz, and 5 programming assignments
2. Variability, Distribution, & Asymptotics
Duration: 11 hours
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Exploration of variability, distributions, limits, and confidence intervals
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Includes 10 videos, 4 readings, 1 quiz, and 3 programming assignments
3. Intervals, Testing, & P-values
Duration: 8 hours
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Focus on intervals, hypothesis testing, and p-values
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Includes 7 videos, 3 readings, 1 quiz, and 2 programming assignments
4. Power, Bootstrapping, & Permutation Tests
Duration: 7 hours
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Introduction to statistical power, bootstrapping techniques, and permutation tests
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Includes 7 videos, 3 readings, 1 quiz, and 2 programming assignments
Get certificate
Job Outlook
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Data Scientists: Enhance statistical analysis skills for data-driven decision-making
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Statisticians: Deepen understanding of inference methods and hypothesis testing
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Researchers: Apply statistical inference techniques to experimental data
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Analysts: Improve data interpretation and reporting capabilities
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Students: Build a strong foundation in statistical inference concepts
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