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Improving your statistical inferences
Master statistical analysis fundamentals: Learn p-values, effect sizes, Bayes Factors, and power analysis for better research.
Course Cost
₹ 2,699
Intermediate
Skill Level
25 Hours
Self-paced lessons
This comprehensive course enhances your ability to draw accurate statistical inferences from empirical research. You'll learn proper interpretation of key statistical concepts including p-values, effect sizes, confidence intervals, and Bayes Factors. The curriculum covers experiment design, sample size determination, and publication bias analysis. Special emphasis is placed on practical applications, Open Science principles, and replication studies. Through hands-on assignments, you'll master simulation techniques, power analyses, and pre-registration procedures.
75,155 Enrolled
English
What you'll learn
Master proper interpretation of p-values and statistical significance
Understand effect sizes and confidence intervals
Learn Bayesian statistics and likelihood ratios
Develop skills in experimental design and power analysis
Master pre-registration and replication study techniques
Apply Open Science principles in research
Skills you'll gain
This course includes:
290 Minutes PreRecorded video
23 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 8 modules in this course
This course provides a comprehensive exploration of statistical inference methods and their practical applications in research. Through eight detailed modules, students learn to interpret and apply various statistical concepts including p-values, effect sizes, confidence intervals, and Bayesian statistics. The curriculum emphasizes practical skills in experiment design, sample size determination, and understanding publication bias. Students gain hands-on experience with simulation techniques, power analyses, and modern research practices including pre-registration and Open Science principles.
Introduction + Frequentist Statistics
Module 1 · 4 Hours to complete
Likelihoods & Bayesian Statistics
Module 2 · 4 Hours to complete
Multiple Comparisons, Statistical Power, Pre-Registration
Module 3 · 4 Hours to complete
Effect Sizes
Module 4 · 3 Hours to complete
Confidence Intervals, Sample Size Justification, P-Curve analysis
Module 5 · 4 Hours to complete
Philosophy of Science & Theory
Module 6 · 2 Hours to complete
Open Science
Module 7 · 3 Hours to complete
Final Exam
Module 8 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.9
158
Reviews
79,866
Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.