Basic Statistics
Methods and Statistics in Social Sciences,
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.
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Rating | 4.6★ based on 624 ratings |
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Length | 9 weeks |
Effort | 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week. |
Starts | Jul 10 (38 weeks ago) |
Cost | $49 |
From | University of Amsterdam via Coursera |
Instructors | Matthijs Rooduijn, Emiel van Loon |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Probability And Statistics |
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What people are saying
highly recommend
I would highly recommend everyone who has struggling with statistics concepts.
Very easy going course!I highly recommend it for people who is willing to start to learn statistics!
Great course, highly recommend for those interested in basic statistics!
I would highly recommend the course for anyone feeling a bit scared than facing statistical information These guys use the best examples to make statistics fun!
Engaging video lectures that are just the right length, and a great R lab that is super helpful, I highly recommend this course!
I highly recommend this course for those who want to understand statistics easily A very engaging approach to online teaching, that is very effective at keeping you from zoning out while staring at boring slides of text with someone speaking over top 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.
Highly recommend it.
Statistics is a very important concept to learn for any field, and I highly recommend this class.
I highly recommend.
I'd highly recommend this course and learning system for people like me, who never thought they'd be able to grasp mathematics.
I highly recommend this course for those who starts learning statistics.
I highly recommend participating in the R Lab.
I also highly recommend using a Statistics textbook in collaboration with this course.
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well done
Well done, keep up the good work!
but this course was well done and very helpful It is a great course.
Really well done.
thank you Excellent Great course, useful and fun Nice and well done.
Beautiful Teaching.. Well done Great introduction to statistics presented in a very interesting and engaging way.
The graphics in the way the lessons are presented are well done!
10 out of 10, no shadow of a doubt This course is awesome :) well done!
Very nice and useful course, some small mistakes in R assignments very nice course The course is very well done and explained in a very simple way!
Well done !!
WELL DONE Despite some error in the quizzes I learned quite a lot by taking this online course.
Well done!
Well done.
Well done to all!
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easy to follow
Very Good Course with nice explanations The title fits precisely the content.Very easy to follow, with nicely illustrated videos.Definitely on the simplistic side, but intentionally so.Assignments are in R and are run on the DataCamp platform.The quality of assignments in DataCamp is generally not one par with the rest of the content.
Coming from a HR standpoint (where ocassionally Statistics are a must) it was easy to follow the chapters week by week.
Intuitive, clear, neither too fast nor too slow.. easy to follow great intro class to statistics.
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.
All the content is simple and easy to follow.
Finally I could learn statistics and R Easy to follow and information was presented beautifully.
Plenty of examples, easy to follow.
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university of amsterdam
Thank you very much for the team of Basis Statistic of University of Amsterdam and the Coursera to offer such a wonderful course.
I have decided to pursue more Statistics training from the University of Amsterdam on Coursera.
And all of you have made University of Amsterdam proud and stand tall.
In the end good job University of Amsterdam!
Thank you very much all who works on this course from University of Amsterdam Clear video's & examples, easy to follow This course is fantastic!!!!
This will go a long way in influencing me to see University of Amsterdam as my new home.
Thank you University of Amsterdam for making this amazing course.
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hard to understand
For a person who has no idea about planes, we should try hard to understand something unnecessary !
His presentation in English is honestly quite hard to understand.
Probability chapter content needs to be improved as it is pretty much abstract & hard to understand.
The terminologies make it a bit hard to understand for foreign students but the hands-on with R is really good.
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final exam
I just spent a total of around 7 hours on the final exam and still managed to fail it the first time.
However, for the final exam, it was difficult to review which question was answered correct or incorrect.
I enjoyed it very much, but I'd like to see the correct answers in the final exam.
Nice Experience an i just loved the Moocs on both basic and inferential statistics if we can have a review before the final exam will help a lot.
Excellent course.The final exam was awesome.Very demanding and exciting course I love this course, it is perfect for statistics beginner.
Don't stress for your final exam.
It was time consuming to do each quiz and final exam but I'm sure that I've gained basic statistical skills from this course.
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video lectures
Je le recommande vivement a tous ceux qui veulent acquerir et comprendre les notions de bases de la statistique Best ever Really loved the video lectures!
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.
It's a great course to learn basic statistics.The course structure is clear and well ordered, and the video lectures are friendly and well explained.I'm pleased with the course.Thanks people Excellent jobs in explaining sophisticated theories with vivid examples ^^ Great course!
The video lectures were fantastic: clear, engaging, fun.
video lectures are awesome!!!
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highly recommended
Highly recommended.
Highly recommended!!!
Highly recommended for beginners Very good examples to understand the content.
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matthijs rooduijn
The way of teaching is majestic :) Professor Matthijs Rooduijn is very good!
Great sense of humour for the lecturer (Matthijs Rooduijn) also helped in making this course to be not such a boring subject.
Overall course is awesome but the lectures of Matthijs Rooduijn, Dr. is just great.
Especially Matthijs Rooduijn is so creative in teaching abstract concepts very intuitively.
Matthijs Rooduijn is simply Extra ordinary.
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little bit
Some part of lecture is little bit difficult to understand and i think it needs more time for self study to catch up all the lectures and practice.
The course is really good.i was little bit familiar with statistics but after this course everything became clear in my mind and don,t have any confusion also .
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.
Other professor also teaches good but we had little bit of difficulty in understanding his language.
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learning experience
thank you for this surreal learning experience!
Exceptional learning experience, thanks to the team behind this.
Was very enjoyable learning experience.
Five stars without any doubts.Useful and exciting learning experience, as for me.Thanks to the Instructional Team!
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Rating | 4.6★ based on 624 ratings |
---|---|
Length | 9 weeks |
Effort | 8 weeks of study, week 1: 3-6 hours; week 2-8: 1-3 hours/week. |
Starts | Jul 10 (38 weeks ago) |
Cost | $49 |
From | University of Amsterdam via Coursera |
Instructors | Matthijs Rooduijn, Emiel van Loon |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Probability And Statistics |
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