Back to Statistical Inference

4.2

3,473 ratings

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672 reviews

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....

Oct 26, 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 .

Mar 22, 2017

The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.

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By Nick H

•Sep 18, 2017

Very hard to follow, many of the maths symbols are not well explained. To little time spent on each concept and many concepts don't get a proper explanation. I had to re-learn almost every concept externally as I learnt little from the videos. Some of the lessons on khan academy are much easier to follow.

By Christian

•Jul 24, 2017

poor course material / slides makes it hard to follow...

By Chris M

•Apr 17, 2016

Content covered in this course was hard to learn, both because it was pitched at a level that realistically was more akin to a wrap up of content already covered (when in fact it was all new content) and because the instructor, Brian Caffo, has not a style that was conducive to teaching.

The instructor often would launch into a topic, and then speed through a calculation with basically no explanation.

In terms of time, this was one of the most intensive courses in the specialisation, and I'd recommend taking this course alone (not concurrently with other courses) for that very reason.

By Scott W

•Feb 24, 2016

Homework, lectures, and the quiz are completely out of sync. Bayes rule is introduced and appears in the homework but no where else. Things appear on the quiz that aren't in the home work or lecture. This was put together from scraps of another lecture, but in an incoherent fashion. When Caffo tells the viewer that they'll need to use other resources, he wasn't kidding. I dropped this the first time when I kept introducing things that completely had not been introduced, took another stats class, then came back and aced it. I don't mind accelerated learning or using other resources, but there's guide for which concepts are needed and where coverage for them can be found. This leaves little recourse but to know stats already, or go learn it before taking this course. Otherwise you don't know enough to even go find the pieces you need. Incidentally, the dude who does the lectures for Khan Academy does a fantastic job and the lectures are a joy to watch, though some people might prefer something that moves less slowly and carefully and perhaps they would prefer something that glosses over the fundamental concepts more. If that's the case, I can't say enough good things about Biostatistical Analysis by Zar but thoroughly, logically categorizing statistical methods with short, clear examples, references to the original research, and building up one concept after another in logical order. The chapters are short, but the first 16 or so should give you a good enough foundation to deal with about any intro stats class. As it is, Caffo's presentation needs some serious testing and remodeling, but there's no indication that it'll match what Khan Academy did regardless of how much work goes in. At best, it's a bitter pill you can swallow if you already know the concepts.

By Ben K

•Jun 28, 2016

The lectures for this class are incredibly weak. Later lectures by the same professor are reasonable and decently structured. These lectures need to be redone. The quizzes are either out-of-order or expect you to do a lot of research on your own beyond the class notes and topics. The class project is unbelievably simple, and the final metric for the class project includes duplication and one portion of the grade assigned simply if you feel the person you're grading "tried".

By ALEXEY P

•Nov 12, 2017

The instructor is horrible. He does not understand what it takes to explain mathematical ideas clearly. I do not even understand what kind of audience the instructor is trying to target. For the most part, formulas are not derived but just thrown at you. So, watching this course is definitely going to be a waste of time for someone who (like me) want to understand all mathematical details behind the statistical concepts. At the same time, he is explaining thing using very formal language (probably borrowed from some bad math textbook), so do not expect that you will be able to learn things at least at the conceptual level. have a solid background in statistics, so all the ideas covered in this class are familiar to me. Fortunately, I did not have to learn them from Brian's class.

By Boban D

•Apr 03, 2018

I thave a M.Sc in Economics and after not using Statistics for a while I took the course to refresh my knowledge. My conclusion is that this module is a waste of time! The teaching skills of the Tutor are not very good (to say it mildly). All the needed materials are there (in theory), but when it comes to statistics, one cannot emphasize enough how important it is to give illustrative examples and plots. This was not done here, either at all, or very badly. When lecturing Statistic, what I want to see is someone drawing a lot of Graphs and explaingn how and why curves shift and how that changes the numbers and tests. This is how intuition is build for what is going on. Otherwise it only becomes dry Stat...

By Jeffrey G

•Aug 16, 2017

In general, I'm really excited about statistics, there are so many interesting and cool problems to work on, and yet, here I am, forced to do an analysis of, "The Effect of Vitamin C on Tooth Growth in Guinea Pigs."I can't make this shit up...

By Imogen S

•Oct 31, 2017

Not a very well-structured subject. Need to make clearer demonstrations and explanations on the theories.

By Nicholas A

•Nov 21, 2017

Focused little on the programming side of probability, and the explanations of the material were so vague and assumed you knew so much about probability already, that I ended up using my college notes for the quizzes and projects more than the actual lecture video notes.

By Neeraj K

•Apr 07, 2018

Very bad teacher. He seems in a hurry. Not explaining anything clearly.

Through out the idiot wasting time and money

By George C

•Mar 18, 2018

I found the lectures to be very lacking. The lecturer seems to make too many assumptions on what the student knows. The pacing is off on what is important to know, and what isn't. There should be more examples on how the information can be utilized in R. The quizzes should be restructured to require writing some form of R script to solve the problem. The swirl exercises don't help either. Furthermore, I was hoping that there would be more depth on how this may be utilized in a real world setting.

By Jason D

•Apr 24, 2019

The course is poorly laid out and the concepts are poorly explained. You'll need either previous college level statistics courses or be willing to spend a lot of time outside of the class to understand what's being taught. The quizzes have little to do with what is presented in the lecture. Unless you are going for the data science certificate, I would look some place else.

By Mukarram M

•Jun 29, 2019

The worst teacher ever!

By Adnan B

•Jul 19, 2019

Not a good instructor or course material

it felt like if he was trying to teach to phd candidates

I just went to Khans academy for every topic.. didnt learny anything from him..

By Nithiwat S

•Oct 08, 2019

Very horrible course. This course is a good example of how to design a bad online course and teach a complex material so it's more difficult to understand. I'd give other courses a shot instead of this one, unless you want the specialization.

First, the course should have listed R programming as a prerequisite. Second, instead of only reading the definition of terms, he should have explained what they are and give example. I spent more than 4x of the video lecture length, trying to think and follow, but I still didn't understand. No example, no explanation, just *reading* the definition right off the text book using mathematical term. Math is complex, but it can be explained so everyone can understand. Third, I simply have a hard time understanding why the professor has to talk so fast and edit his video and/or make slides so text pops up in order to speed up the lecture instead of writing along as he speaks and explains (but there was no explanation in the lecture anyway so pausing the video to slow down wouldn't help). It's difficult to catch up or take notes when he edits video so text pop up very quickly. I don't think there's a restriction on the video. Overall, horrible experience.

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