Back to Basic Statistics

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4,265 ratings

Understanding statistics is essential to understand research in the social and behavioral sciences. In this course you will learn the basics of statistics; not just how to calculate them, but also how to evaluate them. This course will also prepare you for the next course in the specialization - the course Inferential Statistics.
In the first part of the course we will discuss methods of descriptive statistics. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression.
The second part of the course is concerned with the basics of probability: calculating probabilities, probability distributions and sampling distributions. You need to know about these things in order to understand how inferential statistics work.
The third part of the course consists of an introduction to methods of inferential statistics - methods that help us decide whether the patterns we see in our data are strong enough to draw conclusions about the underlying population we are interested in. We will discuss confidence intervals and significance tests.
You will not only learn about all these statistical concepts, you will also be trained to calculate and generate these statistics yourself using freely available statistical software....

PG

Apr 20, 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.

Please allow us to complete the course as I have to wait till the session starts for week 2 lessions.

AD

Jun 27, 2022

Instructors have provided concise explanations of the concepts. There are many examples considered that make statistics easier to understand! Also, the illustrations are fancy. I enjoyed every video!

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By Lieke S

•Feb 28, 2016

In my opinion this course is a good way to learn basic statistics. I do think the R part and the statistics part could be more integrated in order to learn R better and to use it more efficiently. For me the studytime was double the time that was stated even though I was already familiar with some of the concepts and calculations. I feel like some weeks the subjects should have gotten a little more explanation with video's or other supportive material, maybe some assigments to make in order to check wether you know and understand the material. Maybe you could compare content and way of teaching to the Duke University statistics course, this is not a better course per se but does do some things differently whilst both teaching stats and R.

By Greig

•Jun 20, 2021

I think the course content is very good. The videos are done really well. The videos are so good that they made me lazy with making notes. I could fairly easily recall the video content for the weekly quiz, so I didn't make notes. But with the exam I couldn't remember everything that we've done several weeks ago. So I had to look-up the rules and formulas in the transcripts. But, I think the transcripts should show the formulas. If the formulas were in the transcripts, it would be much quicker to find the relevant information and apply it to the problem. Or maybe provide a course summary / text book, which makes it easy to determine what the name of a variable is, when to use t-score or z-score, etc.

By Chris L

•Feb 5, 2018

Much better than the Univ. of Ohio introduction to Python e-course. The lecturers are more interesting and better produced. Likewise, the r course is better structured with more questions that build upon one another.

Down side: a lot of spelling mistakes, particularly in the r package portion. Also, some of the r questions were not intuitive, even after seeing the clues and/or answers. Finally, I still don't feel very competent at applying various formulas or the reasoning behind some of the statistical measures. I think the course would be better with some practical coding examples and examples after each lecturer video instead of all grouped up at the end of each week.

By Lauren A

•Sep 10, 2017

I genuinely enjoyed this class and learned a lot, but it was difficult and very time-consuming. I spent hours and hours on it. I just spent a total of around 7 hours on the final exam and still managed to fail it the first time. If your strengths don't lie in numbers (and apparently, mine don't), expect to spend more time on this course than on others. The lows are lower in this course than in other courses in this series (frustration), but the highs are definitely higher in this course than in the others (greater feelings of accomplishment when you finally figure something out). I also loved/hated learning R and I think you will, too. In the end, I think it's worth it.

By Jerry Z

•Apr 25, 2020

The videos from the first professor were amazing and the examples he gave were very important to better my understanding of when/how to use the equations. The use of R was nice but not necessary at all and it hindered my understanding of the course. I wish there would have been more work in the videos with how to use R and then work with it after. In R, the "hints" were not always good hints or had anything to do with the scenario and it became increasingly frustrating to use R with no experience and it did not seem to help with my understanding of statistics at all.

By Anna T

•May 15, 2020

Overall it is a good course with the professors explaining many concepts through real world simple examples. But, sometimes I felt some videos needed more explanations. Again, I wish the answers to exams in feedback had more precise explanations. Whenever I felt something was not fully understood, I tried learning with other online resources.(like Khan academy AP Statistics course has lots of maths problems which make the concepts more clear). Again, one of the biggest drawback of this course is that it lacks handouts. Hence, always make notes while studying.

By Jens B

•Mar 26, 2016

This course has given me a much better understanding of many concepts I never understood while studying at university - Like the sampling distribution etc. and I can recommend it...

The only "but" is... I can see from the discussions that some (many?) students have problems with the "R" assignments. I have been programming previously, so I have not have had these problems. I would though like that these "R" assignments where easier to print or collect in a PDF document, so that I could easily use it as a "howto" later.

By Roman P

•Jun 30, 2017

The course is good and will suite the most. I had some previous experiences with statistics (almost forgotten) and this course was a good way to remember the old stuff and take something new.

Material is clearly organized and the teachers did a nice job.

The only thing is that several times I had a feeling that the material in the course is not completely consistent with tasks in R, plus a couple of confusions in the course itself. However, possible to solve yourself if you listen carefully and enjoy your learning.

By Eugenia N

•Aug 5, 2020

It was my first experience with statistics, so some parts were not easy, especially when it came to probabilities, to understand material I needed to look for explanation in the net, course materials, unfortunately, were not enough. Still, this course is great, tests are good opportunity to exercise theoretical concepts and you can try until you get desired result. R labs were a real challenge at first, since I didn't have any programming experience, but now I can say proudly that I can do something in R :)

By Emily J

•Mar 27, 2021

Professor Roodijun explanations and R-labs were much more than those from the other professor, but the lack of practice problems in all of the lessons was a real drawback. Even if the practice set was ungraded and optional, they would be highly beneficial to help internalize the concepts. At present, the only chance to practice is on the graded quizzes at the end of the lessons, and those quizzes cover the entire lesson, not the individual skills we are learning along the way.

By Elpida S

•Jun 25, 2018

Very demanding Course Well- organised material Brialliant theory, very helpful for everyone learner. Variety of examples in order to learn better the theoryDemanding also assigments and quiz,You need so many hours of studying in order to complete it successfully escpecially if you are not familiar and experienced with Statistics and mathematics. But of course i will reccomend in everyone who want to gain knowledge to this domain. Well done to all! Thank you about this basis.

By Jonah I

•Jan 23, 2018

Certain lecture videos, especially those of Professor Van Loon, can be confusing and unclear (though I'm not saying it's his fault necessarily), and there are certain errors throughout, but overall this course is relatively engaging and effective at giving you the basics of Stat. As someone with almost no prior knowledge and a terrible historic ability at math, I passed easily by watching the lectures, taking detailed notes, and spending time with the labs.

By Jennifer B

•Jan 8, 2021

I was so excited about this course and really feel like it was well worth my time and effort. I have to say though that the labs in DataCamp didn't line up so well with the weekly assignments. Learning r while also learning statistical theory and formulas is difficult to keep things straight (for some of us anyway). I am very glad to have the intro to r, but I think it could be structured differently. Also, please include more exercises to work through!

By Bob H

•Aug 23, 2017

The videos were interesting and well-presented. I do not have a background in statistics, so the pace of formulas and calculations was tough. I'm not sure if there is a place where remedial folks like me can get a slower pace of basic stats and the maths involved. Having that foundation would have made this more understandable for me. The R-lab was interesting, but I quickly got lost & learned a lot from all of my wrong answer lol.

By Gustavo H P T

•Mar 20, 2017

I had a really great time with this course. A lot of work went into it, from the presentation to the content. Really well done. It was quite challenging. I felt that the last module (7) introduced some very difficult concepts which, even after checking other sources, I couldn't understand fully. Some questions from the exam in that module were substantially different from the ones in the lectures. I would give 4.5 stars if I could.

By Charlotte

•Dec 19, 2016

I liked the content of the course very much; the videos were all very clear, with nice examples & visualisations of those examples. However, the R labs included in this course were not very challenging; by following a list of steps you can complete them easily without learning much from them. Additionally, the R labs sometimes would not accept an answer as correct when it was a slightly different solution to the same problem.

By Roberto Z

•Jul 22, 2017

This is a good course for the videos (some mistakes there, beware) and material provided, but it is just ok as the quality of the tests. Sometime just felt like a monkey typing again the same ops over and over. The R lab is sometimes really frustrating as questions are not clear enough. I feel a good table of Z and T scores for the most used confidence and significance levels would be a good addition to the course material.

By Addler M

•May 9, 2017

Lectures and quizzes were great. The main part of the course was fun and informative.

Labs were awful. They did not teach or incorporate R well, they were inconsistent with the way answers should be provided, and instructions were very often unclear or missing information so that the answers could not be obtained without hitting solution or googling r things that had not been brought up before.

By Kyle P R

•Dec 5, 2019

Overall a very good course; excellent, easy to understand explanations and engaging instruction. However, there are a couple of places where the course needs a correction, and I am deducting a star because it has been up for literally YEARS, and no corrections have ever been made. If they would actually correct the few course errors, it would be an absolutely perfect course. Cheers!

By Jenna H

•May 8, 2018

Perfect for gaining a general/ beginner knowledge, but still in-depth and good quality. As a complete novice with no natural flare for maths it did take me a lot longer than the predicted times, and I did feel like you had to research further or work around what was given, in order to answer some questions in the exams. Overall, really helpful to get the basics of statistics!

By Kiarash B

•Feb 14, 2021

Thanks for preparing this course. All materials can be useful for anyone who wants to do statistical analysis in any fields of expertise. However, I think focusing more on practical statistics can be an insightful idea for teaching statistics since it would make more sense for all students to use these concepts and knowledge to solve scientific problems.

By Durbar S

•Oct 21, 2018

covers a lot of topics in a very simple manner. liked the examples taken in the course and how the important points in hypothesis testing are stressed.

the course can be improved by maybe making it a little bit more mathematical.. giving some proofs(which if the course coordinator thinks can be done in the time limits) to the formulas used in the course.

By Mohammad U S S

•Feb 26, 2018

I really like the way they teach. Being a newbie to Statistics, I feel this is the right course I have chosen to start my journey of statistics. The mentors teach in a way which is easy to understand. I did not give it a full 5 star due to the inactive discussion forum. I think this would be a nice place to talk more about statistics. Cheers !

By Paolo M P B

•Jul 24, 2020

This course explained the basic concepts of statistics quite well though the course was pretty challenging. Weeks 3 onward really discouraged me and I had to put if off at times. The R assignments were helpful but I don't quite see it's weight here. Overall, this course would be good for those interested in learning the basics of statistics.

By Bening M

•Apr 20, 2020

I enjoyed it and I found it useful. I started this course because I wanted to learn how to use R and it turned out that I learned a lot as well on the theoretical level. Examples made things easier to grasp. One thing, I felt that some terminology was not clearly explained and there were times that I was just confused like, 'What's that?'

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