About this Course

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Learner Career Outcomes

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started a new career after completing these courses

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got a tangible career benefit from this course
Shareable Certificate
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Start instantly and learn at your own schedule.
Flexible deadlines
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Beginner Level
Approx. 8 hours to complete
English

Skills you will gain

StatisticsStatistical AnalysisStatistical ModelPreprocessor

Learner Career Outcomes

67%

started a new career after completing these courses

33%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 8 hours to complete
English

Offered by

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Johns Hopkins University

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(2,403 ratings)Info
Week
1

Week 1

2 hours to complete

Week 1

2 hours to complete
8 videos (Total 82 min), 2 readings, 1 quiz
8 videos
Module 2: Goals of fMRI Analysis12m
Module 3: fMRI Data Structure6m
Module 4.1: Psychological Inference Part 111m
Module 4.2: Psychological Inference Part 28m
Module 5: Basic Understanding of MR Physics11m
Module 6: Forming an Image10m
Module 7: K Space11m
2 readings
Syllabus10m
Principles of fMRI Book10m
1 practice exercise
Quiz 130m
Week
2

Week 2

2 hours to complete

Week 2

2 hours to complete
9 videos (Total 100 min)
9 videos
Module 9: fMRI Artifacts and Types of Noise11m
Module 10.1: Spatial and Temporal Resolution of Bold Part 17m
Module 10.2: Spatial and Temporal Resolution of Bold Part 2 13m
Module 11: Experimental Design13m
Module 12.1: Kinds of Designs Part 111m
Module 12.2: Kinds of Designs Part 2 8m
Module 13: Pre-Processing of fMRI Data10m
Module 14: Pre-Processing (continued)7m
1 practice exercise
Quiz 230m
Week
3

Week 3

2 hours to complete

Week 3

2 hours to complete
8 videos (Total 92 min)
8 videos
Module 16: Applying GLM to fMRI Data11m
Module 17: Details of Building GLM Models11m
Module 18: Linear Basis Sets11m
Module 19: Filtering & Nuisance Covariates13m
Module 20: GLM Estimation9m
Module 21: Noise Models - AR Models9m
Module 22: Inference - Contrasts and T-tests11m
1 practice exercise
Quiz 330m
Week
4

Week 4

2 hours to complete

Week 4

2 hours to complete
7 videos (Total 77 min)
7 videos
Module 24: Group-level Analysis II10m
Module 25: Group-level Analysis III14m
Module 26: Multiple Comparison Problem in fMRI9m
Module 27: FWER Correction16m
Module 28: FDR Correction5m
Module 29: Pitfalls and Multiple Comparisons14m
1 practice exercise
Quiz 430m

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About the Neuroscience and Neuroimaging Specialization

Neuroscience and Neuroimaging

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