Statistical Inference

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4/10 stars
based on  32 reviews
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Cost FREE
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Course Details

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FREE

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Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4724 reviews

Course Description

Learn how to draw conclusions about populations or scientific truths from data. This is the sixth course in the Johns Hopkins Data Science Course Track.
Reviews 4/10 stars
32 Reviews for Statistical Inference

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Marcelo Soares profile image
Marcelo Soares profile image
4/10 starsCompleted
  • 16 reviews
  • 13 completed
5 years, 4 months ago
UPDATE 3: Improvement was minimal, but at least this time I finished. Hope the third installment gets better. The course is not hard; what happens is that the presentation is really confused. Lots and lots to improve there. UPDATE 2: Seems like they got the message and next edition will have reformulated material. I sincerely hope the instructor works a lot on improving the videos. It's an important class in the track, and he is also responsible for another very important mathematical class. From this month on, I'm taking one course a month instead of three. UPDATE: I dropped out of the course. The videos are too long and confusing for the limited time I have. Next month I'll try again, but this time I'll take just this course, not another two in the specialization. I'd rather get a better structured statistics course, but this one is part of the specialization track I decided to complete. I seriously hope next installment will impro... UPDATE 3: Improvement was minimal, but at least this time I finished. Hope the third installment gets better. The course is not hard; what happens is that the presentation is really confused. Lots and lots to improve there. UPDATE 2: Seems like they got the message and next edition will have reformulated material. I sincerely hope the instructor works a lot on improving the videos. It's an important class in the track, and he is also responsible for another very important mathematical class. From this month on, I'm taking one course a month instead of three. UPDATE: I dropped out of the course. The videos are too long and confusing for the limited time I have. Next month I'll try again, but this time I'll take just this course, not another two in the specialization. I'd rather get a better structured statistics course, but this one is part of the specialization track I decided to complete. I seriously hope next installment will improve. Here goes what I wrote one week or so ago: The good: Caffo knows what he's talking about. And this course even instigated me to go study more calculus fundaments. The bad: the instructor is quite confused, going back and forth in the screen. His presential class might be better to follow. Videos are long, sometimes with interesting but ultimately arcane discussions on how no one knows why square brackets are used instead of parenthesis in formal math notation. All this, plus the changes in the form of the quizzes midway through the second week, makes the course more confusing for students who, like me, are subject-matter specialists without stronger math foundations. On the forums, students with stronger math foundations find the course superficial; students with really poor math foundations have been describing it as "hardcore math". The truth lies in the middle of the way: the concepts are intelligible enough, just the way they are presented gets easily confusing - especially in days when my time is limited and I just want to advance a video or two before I rush to work. The ugly: I have to admit that at a certain point I stopped trying to watch the videos and took them as an indication of where to look for the concepts in the book "OpenIntro Statistics", where they are more concisely and directly explained. I miss some more deft use of R also in the classes. When Caffo uses it to explain some point (very sparsely and surprisingly), it's usually in a confusing way also. He could definitely use some presentation tips from his colleague Roger Peng.
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Dongguen Lee profile image
Dongguen Lee profile image
1/10 starsCompleted
  • 2 reviews
  • 2 completed
5 years, 6 months ago
I don't know why I get on this course. I am really concerntrate about 'Data sciencetist specialization.' But this course is definetly didn't help of knowledge about data scientist. This course is just 4week per course, And need to 50 bucks for earn datascientist specializaiton.But most of this course is awful. I know some of the statistical mathmatics but, lecturer isn't good teacher for me. And more hard then things is, this course is just 4weeks and just few hours of lectures that is 15 weeks course in normal universities. So I hope You must not attract of name of this course "DATA SCIENCE Specailization" and don't waste your time like I did. Find other great coursera course, or other MOOCS. That's definetly better to wide on your Knowledge.
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