Back to Basic Statistics

4.6

stars

3,165 ratings

•

820 reviews

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....

Apr 21, 2016

This is a nice course...thanks for providing such a great content from University of Amserdam.\n\nPlease allow us to complete the course as I have to wait till the session starts for week 2 lessions.

Aug 06, 2016

One of the best courses of statistics for the beginners. The concepts are well explained, the learning path well researched and above everything the R labs were ideal for the beginners.

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By Sofia W S

•Apr 13, 2020

Amazing course! I have learned more about statistics in this course than in my entire bachelor's and research practice. Some weeks (3,4 and 7) are a bit difficult and poorly explained: brace yourselves. Also, the R Labs are really helpful if your are interested in learning R programming as well. I've learned so much in this course (and in the other courses of this specialization) and this knowledge will be really useful when I start my research masters next fall.

If it's useful for someone: I completed this course in 3 weeks, because I'm in quarantine, so I'm not doing much work related tasks (covid-19 present here!)

By Tripp W

•Jun 16, 2020

The videos are phenomenal! Thanks for such a creative and thorough course.

My one recommendation for improvement - some of the formulas for different parameters were different between the course videos and the R environment in Datacamp. This led to some confusion.

By Francisco M A C

•Feb 21, 2019

This is an incredible curse. It has a lot of information, but they manage to deliver it in a dynamic, fun, and quite intuitive way, so it is really easy to develop an inner logic for all of the statistical concepts. Thank you very much.

By Mohammed R A

•Mar 03, 2019

Excellent for understanding the basic concepts and designed for those who have no clue what R is..

By Pau V A

•Aug 06, 2018

This is great! Every single concept is explained in avery easy and intuitive way! I loved it!

By Bill G

•Mar 01, 2019

Thanks for a great course. I really learned a lot. I came away with what I wanted: a basic grasp of key concepts in statistics that previously I had merely a superficial understanding of -- standard deviation, confidence interval, Pearson's r, etc. The video lectures were fantastic: clear, engaging, fun. I liked that I could pause them when I was confused on a point. A couple of criticisms, though. First, I found the r program frustrating at times. Sometimes it was used in a way that helped me to better understand the course's key ideas. But too often it was an exercise in guessing the obscure programing code to use. Since I'm unlikely to ever use the program again (and I suspect this is true of most students), overall I found the r programming of limited value. The other drawback of the course -- not your fault! -- was the same problem with all on-line courses. At times, I just wanted to ask a question or get a clarification on a point, but that just wan't an option. Finally, I think it would have been helpful had you provided an in-depth explanation of how to arrive at the correct answer for each question on the quizzes. For the quizzes, I was usually able to figure out the right answer (eventually), but not so for the final, which didn't provide any explanation as to why I got certain questions wrong. But, as I said, overall this was very good course. I got my money's worth.

By Stefano C

•Jun 15, 2019

This course was great to get an introduction of basic statistics and inferential statistics. The R exercises are great to test what you learned with practical exercises (in a real-life scenario where you have access to a tool like R). I cannot give 5 stars, because the chapters on probability are confusing and poorly explained: probabilities are one of the most difficult parts of statistics, so they require more pedagogy (with clear formulas to calculate conditional probabilities and step by step explanations)

By Edward C

•Dec 19, 2016

Overall, very good course. I thought the weakest sections were the ones taught by Prof. Emiel van Loon (the dark-haired one). I found him much less clear and engaging than Prof. Matthijs Roduijn (the blonde one). The R labs were fine for me because I have a background in programming, but people without that may need a lot of time to do them.

By Rhiannon D

•Nov 13, 2019

The probability section was super hard and not terribly well explained. I had to get help from my statistician friends in order to pass the probability density quiz and it was remarkably frustrating. Everything else was really good though. I like using R too, it's quite intuitive :)

By Jonason G

•May 14, 2016

Lovely accent, great lecture for the younger teacher. The older teacher really confuses me sometimes cos the language he used was very academic and hard to understand, besides he has a tendency to read other than lecture

By N_ens

•Sep 07, 2017

The first two weeks of this course are really good. I enjoy the format (switching between manual math equations and performing tasks in R). However after week three the course becomes hard to follow as the material feels too condensed and the instructor is not quite as clear. I would recommend taking some basics in Khan Academy before trying to attempt the full of this course.

By mridul b

•Jul 20, 2018

Some statistical things require explanation which was missing.

By Daniel S

•Sep 30, 2016

The lecturer does not clearly explain the topics very well especially on the topics in Probability and Distribution. His presentation in English is honestly quite hard to understand.

By Sara O

•Jul 06, 2020

This course is quite poorly organized. The primary reason why I took this course was because I wanted to learn basic statistics without using python or R. Unfortunately for those of us who just wanted to learn statistics, this course requires you to learn R, which is something that should be made clear to people before they purchase.

As for the rest of the course, the first two weeks are done well. While the concepts are presented quickly, those two weeks have the benefit of having a "summary" video at the end in which all of the concepts are brought together using an example.

Starting in week 3, a different instructor presents the material. His primary goal seems to try and speak as quickly as possible without explaining much of anything. In fact, he will sometimes slur or stumble slightly over words due to this. The slides used in the videos are also riddled with errors., as pointed out by people in the discussion forums. Despite all of this, week 3 was still manageable because the material presented is very simple. As you progress through the course, though, and as the material becomes more complicated, I felt like I was just plugging numbers into formulas without really understanding what I was doing or the concepts behind those formulas.

All in all, save your money and go to stattrek or another site if you actually want to learn statistics.

By Richard N B A

•Feb 09, 2016

Puerile, made up examples with made up data, no deeper treatment of the mathematics involved than the here-is-a-magic-formula-use-it approach and mistakes (including serious conceptual and factual errors) evident in the quizzes and the R labs. Far better to look out for the "Data Analysis and Statistical Inference" course by Duke on Coursera that is presented by a passionate statistics teacher, covers the same material (and more) and provides a far better introduction to R than this course.

One of the stated purposes of this specialization is to clean up the way social scientists conduct science and are perceived as scientists; in this respect, it appears that the worst enemies of social scientists are social scientists.

By Charlotte M D

•Aug 20, 2017

I am a complete novice to inferential statistics, probability and R programming. The video lectures were clear enough, but they did not cover everything in the quizzes- quite a few mathematical leaps had to be made, so proceed with caution if mathematical dexterity is not your strong suit. The probability lectures were especially riddled with gaps and leaps in logic that I struggled to follow.

What is more, the R programming does not stick to the vocabulary and concepts presented in the video material. The R assignments are disjointed, unclear, and do not advance, nor compliment, the material.

By Scott P

•Aug 08, 2016

this course was a waste of my time; luckily I found out after wasting only 6 hours on the preview. this course apparently requires a level of probability knowledge I don't

By Clay C

•May 08, 2020

I just wanted to learn statistics, not also learn R, which has made completing this course impossible!

By YunLi

•Jan 11, 2016

Good lectures, but the R-lab is horrible. Do not take this class.

By Dr. J P M

•May 02, 2020

Not a great course.

By Alejandro N J

•Jun 23, 2016

Excellent MOOC. A great introduction to the basic elements of statistics. I had studied statistics years ago in my bachelor but almost forgot everything. This course greatly helped me revive all the elementary concepts. The teachers explain complex things in simple terms easy to follow, and the funny examples have brought a smile to my face more than once and twice during the MOOC. Finally, the collaboration with professional illustrators adds great value to the course. A big deal of effort has gone into its making, and it truly pays off. I just wished there'd be an intermediate and advanced statistics course to keep digging into it!

Thanks a lot!

Alejandro

By Stacy H

•Jun 30, 2016

I hadn't touched math in any real way in years and this was a great re-introduction. The videos were fun and engaging, and while the material was challenging, I felt I got a lot out of it. I highly recommend it for people who need statistics for their work or for a degree program but who are feeling a little intimidated by it.

As far as feedback goes, I would have liked to get explanations for quiz questions I couldn't answer. I wish there was a way to say, "This is the quiz score I'd like to accept; now please explain to me the ones I missed." The lack of feedback on the quizzes was frustrating at times.

By gerald k

•Apr 19, 2016

This is a great course. It was challenging but not discouraging. I think that there is a high probability that I learned something very useful. Now that I have said the most important words now I would like to give a thumbs down on the Data Camp R section. I found it to be frustrating and discouraging. You can find better information and tutorials on YouTube. Check out"MarinStatsLectures. A text book is also a great help. I bought Elementary Statistics at a used book store for $4.00 US. And it correlated very nicely with the course. If you are interested in statistics this course is a good first step.

By Amelia S

•May 29, 2020

The lectures are very well structured and the flow of each lectures flows great, reference support and reading material is very satisfying, Presentation support such as drawings, slides, cartoons is very interesting, the way the lecturer teaches is very passionate and very interesting, the speed of the lecturer is suitable to my ability to listen and comprehend, the voice and pronunciation are clear and easy to understand, the material taught is very useful, interesting and up to date, this lecture will be very useful for my career in the future

By Jacob S

•Jun 18, 2016

Really a great introductory course. I am a real beginner in statistics, since I need it to make it easier for my self at data mining and machine learning in the future, this course gives me a solid basic understanding of terminology, calculations and relationships between calculations. Week 3 and 4 are pretty hard in my opinion, but after doing the course learning how to learn I know how to handle it, so I will recommend everybody to do that one also if you think this looks too difficult for you.

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