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Learner Reviews & Feedback for Statistical Inference by Johns Hopkins University

4.2
stars
4,423 ratings

About the Course

Statistical inference is the process of drawing conclusions about populations or scientific truths from data. There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. Furthermore, there are broad theories (frequentists, Bayesian, likelihood, design based, …) and numerous complexities (missing data, observed and unobserved confounding, biases) for performing inference. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. This course presents the fundamentals of inference in a practical approach for getting things done. After taking this course, students will understand the broad directions of statistical inference and use this information for making informed choices in analyzing data....

Top reviews

JA

Oct 25, 2018

Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .

RI

Sep 24, 2020

the teachers were awesome in this course. I liked this course a lot.Understood it properly.Thanks to all the beloved teachers and mentors who toiled hard to make these course easy to handle.Gracious!

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476 - 500 of 869 Reviews for Statistical Inference

By MARIO R G G

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Aug 14, 2020

Even thou I understand some of the bad reviews that criticize this course by covering a plethora of "difficult" (or at least new) topics, Dr. Caffo and Dr Leek always provided clear explanations, and if you complete the Slidify homework assignments and read the book provided (the times required), it wont be that hard.

By Jorge E M O

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Jul 21, 2016

This course actually helped me to practice and to obtain a better intuition of the most basic Statistical Inference ideas. It covers up little content, but it focuses more on the practical understanding than on the maths. After taking it I feel like I can go and take a much more math-heavy course and I wont feel lost.

By Siddharth T S

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Jun 4, 2020

This is a great course in terms of the content it covers, and the homework exercises, quizzes and final assignment really challenge you, But no way are you covering the course without an introductory statistics book at your side, if you're a beginner (I used Statistics For Business And Economics by Anderson et al).

By Vlad

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Mar 22, 2018

Very good introduction course to statistical inference. Sorts out and structures such diverse topic as statistical tests and approaches. Quite easy to solve and there is a lot more confidence to what it gives.

Give 4 out of 5 stars - it would be very good to include 2x2 contingency tables explanation here.

By Camilla H

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Oct 23, 2017

I very much enjoyed this class. I have taken statistics classes before and this was a good and challenging refresher. My only critique would be that the Project Review should be more rigorous. Out of 8 points for the two assignments one point was dedicated to effort and another to format/logistics.

By Hernan S

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Mar 18, 2018

A very good introduction to the subject. The textbook is very helpfull and the explanaitions are sufficent to gain a practical understanding. If you want to gain more in depth knowledge on statistical inference you will need to complement the course, nonetheless this is a very good course!

By James T

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Apr 26, 2016

This course took me 3 weeks longer than anticipated, and I'm not sure it was the difficulty of the material. A lot of this information is review for me, so I am confused why it took so much time to complete. There were new topics, and I did enjoy working through the homework questions.

By Boris B

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Aug 29, 2016

This was a real crash course on statistics and math theory and, giving also all the tools for data analyses. It might be nice to have more 'common language' examples, that would connect ideas of population and distribution to solving real life problems and taking real life decisions.

By João R

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Jun 20, 2017

Very good overall though it could have more examples for the last subjects and they were harder to comprehend. Some videos seemed badly "chopped". 08 03 had picture overlaying text and 09 04 had basically 7 minutes exactly the same as the previous video. Content is extremely good.

By Chris N

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Oct 5, 2016

If, like me, you do not have an understanding of the subject matter then you may struggle to complete this in the time frame. I had to retake this multiple times and found getting the basics (From Khan) first then returning helped me finally understand and pass the tests.

By Marco L

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Jun 2, 2020

Difficult one for me, because my statistical knowledge was little.

The part on confidence intervals is somewhat scrappy to my opinion. I used wikipedia and google to get some extra definition stuff. These two together make me hope that i understand the theory good enough

By Ann B

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Mar 14, 2017

For the length of time of this course, I though it did a good job of covering the topics. Luckily, I've had multiple previous courses on this material. I only wish there were more homeworks/project covering the analysis of real data with less theoretical work.

By Yong W

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Jan 18, 2022

This course is a bit of challenge than other 5 previsouly course. I spend more than two weeks to pass it. Apart from watch video and read the PDF. I has to read other books for external material. Much hard couser. Maybe It is true start for data science path.

By Billy J

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Mar 1, 2016

Perhaps I'm holding the video lectures to too high of a standard set by Roger Peng in previous courses, but the videos are difficult to follow. I can see the effort is clearly put in, but all the actions going on during the videos are distracting at times.

By Bill K

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Feb 10, 2016

I found this to be a tough class and had to take it twice, but it was worth the effort. It's tough if you're new to statistics. Starts easy enough but make the time to read additional references, articles, and online videos outside the course.

By Vidya M S

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Feb 7, 2017

I would say it is good quality content and appreciate the efforts of the authors . Though it just introduces the topic , it better to follow up with more rigorous online content/book, in order to understand the topic more deeply .

By Tom W

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May 1, 2016

Have not taken the class but paid late in the session for the remainder of the specialization. Cannot get the 3/21 session which is what I planned on enrolling into. No help on the Coursera site. Maybe this will trigger a response

By Jesus P

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May 28, 2016

The topics from this course are very important and might be considered convoluted at times, so it is nice to see that Brian makes them actually easy to understand. Very comprehensive and has nice examples.

By Steven C

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Mar 15, 2017

Difficult class, moving through a heavy amount of statistics material, but very useful. May be helpful to take this course more slowly and look for other online sources to supplement the lecture material.

By Adhruth S

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May 19, 2020

The content of the course was really good and the assignments helped put things into perspective. However, the lectures and the explanation of the concepts could be done in a better and simpler manner.

By Thakur G S

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Dec 16, 2016

the course provides the necessary information and practice assignments to build a grasp of the topic. It seems a little fast paced and people from non-statistics background may find it a bit difficult.

By Mihir M

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Sep 7, 2022

Quite useful to most scientists that rely on data (real/from simulations) to draw conclusions. The fact that the course was generic and widely applicable to all fields was the highlight!

By mauro s

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Mar 5, 2017

For starters, it will demand a lot of out of class studies. It took me three months to go through the basics in Khan Academy before attempting it - and after that it was straight forward.

By Carlos

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Feb 23, 2016

This was probably the most difficult and challenging course . Had to pull out my old stats books to remember most of it. Using R to do what we used to do with TI-83's was great!

By Andy T

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May 11, 2020

This course explores many key statistical concepts, however you are expected to extend your learning beyond the course in order to fill in any foundational gaps in statistics.