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 …
Instructor Details
Courses : 1
Specification: Basic Statistics

54 reviews for Basic Statistics
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Sai K K K –
Good Concepts taught in a easy and logical way..
Karan A –
Great explanations by instructors through real world examples. The course provides ample opportunities to step back and evaluate your understanding. Practice in R through data camp practice sessions and quizzes. A nice place to start with if you are looking to learn the basics of statistics.
Tan C H –
Very useful basic statistical skills.
Noel N –
Very interactive course which gives great insight to the topics covered with interesting examples.
Ed –
lively examples used in the course of teaching
EDWIN D O –
great
Asif H –
Excellent for building an understanding for stats. Greatly helped in while doing my Data Science Specialization
Sam H –
Videos were good, quizzes were good at assessing knowledge. Didn’t like the tool for answering question in R. Would much rather they just had you install R and RStudio and complete questions there.
Edmar O –
This course teaches the basics of statistics which gives a firm foundation for understanding complex statistical procedures in research.
Suzanne D –
I did not want to learn R as part of this course. It added work that was not necessary as I am proficient with a different program already. I was just interested in the information on the stats themselves and the R did not add value. It should be optional for all labs.
Benedict V –
This course is a good one.
Saurabh G –
This is one of the best designed MOOC. The kind of effort that has gone into making this and taking care of the its usability is just commendable. This will go a long way in influencing me to see University of Amsterdam as my new home.
Xinyao Z –
This course can be challenging, but it is indeed a very useful course if you do not have any knowledge about statistics. R assignment is also useful for it saves time for calculation.
Md S M –
Great course on Statistics
Sureshkumar L –
nice course.. course structured easy to understand and hint help where you dont know how to proceed futher.
Naincy P –
good course
Cesar R P M –
Excelent course to review past knowledge about statistics, easy to understand and practica with R.
Junaid H –
Great Insight! Would recommend to anybody.
Mohammad M B –
Interesting and fun way of teaching. Great course.
varun k –
Very engaging instructors, made the concepts stick. Excellently designed datacamp modules to help practice the concepts.
Sree N –
The majority of the course is super helpful in understanding Basic Stats. The only critique is that the advice/hints given in R Lab are extremely unhelpful most of the time. Aside from this I recommend this course to anyone wanting a basic understanding of statistics .
Nazmi A –
Very good examples to understand the content.
BIBHAVENDRA K S –
Great course with all basics of statistics explained in best possible ways with day to day examples. Highly recommended for beginners
SUKANYA K M –
Great value and learning
Amaia P d A M –
Fantastic.
PURVA R –
Detailed explanations in the most simplest way to understand.
Rhiannon D –
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 🙂
Viviane A G S –
Very complete course with reachable goals. It delivers good petite challenges weekly with interesting & clever short lived videos. Thank you very much!
Kyle P R –
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!
Dafna M –
Most of the courses didn’t feel like basic statistics, they were very hard, plus a lot of the presentations were difficult to understand. I felt that there is a significant disparity between the two lecturers; the way they present the learnt materials is very different. In several times i had a gap and had to look for more information online. This is called “basic statistics” and it felt like i was supposed to start the course with a previous knowledge which i didn’t have.
Anthony –
This course is more about learning R programming which is totally useless for me. The videos are nice. Try instead buying the book and do the excercises with python or excel.
Stepheni F –
I would give this course a 0 if it were an option. I have no use of R, I do not need nor will I ever use R. I am not interested in wasting weeks of my time learning a programming platform that I do not need. It is ridiculous that 80% of the grade depends upon me knowing how to use a programming platform! NO thank you!
Lucas F M –
Excellent!
Dmitry S –
This was a great course introduction to statistics
Gerhan S –
Good course with clear video’s with good sometimes funny examples.
kshirod s –
Probability chapter content needs to be improved as it is pretty much abstract & hard to understand.
Eunice H –
I was expecting to learn basic statistic before diving into the programming. I did not take this class to get familiar with R programming. And it slow me down.
Hemant K P –
Nice course. Professors explained concepts well. Basics were covered in detail with interesting examples.
Chen C –
Hopefully we could remove the poop example.
Peter J M P –
Very nice course. I loved it because it helped me to understand the concept easely. The only min poin for me that is has no slides. Reading the transcript is not very easy if you want to find something. the exercise with R was also a good surprise ! I recommend this course
Kyoko Y –
The explanations in the videos were easy to understand and concise. I think it would be beneficial to add more in depth descriptions of the answers you got correct on the quizzes. I might’ve gotten something correct by 1) doing it right or 2) guessing, and it would be a learning opportunity for those who simply got lucky.
Murugesh M –
Awesome
Maristela H –
This course has a fantastic explanation of Statics concepts. The examples are perfect.
Ram k m –
good course
Daniel N –
good, can be harder
Ashish T –
I loved this course. Learned a lot. I hope the team can make a similar course on bayesian statistics.
Vicky G –
I love the vivid examples, and the all the visual explanations. They really helped with understanding the concepts. The assignments and the R exercises are well designed and align perfectly with the course content which helps as well. Meanwhile I wish there was more explanation about the math behind the formulas (as to how those formulas were derived) instead of just teaching us how to put numbers into those formulas. That way we’d be able to better understand the “why” behind the fascinating data behaviors. For instance why do we say when n > 30 then the sampling distribution of sample mean is normally distributed? Why when number of success > 15 and number of failures > 15 then the sampling distribution of sample proportion is normally distributed? What are the actual reasons behind using t table instead of z table when we do not know the population s? Just a couple examples off the top of my head.
Francisco L –
Very good and goes to the point in every video. I liked the explanations and examples. Pretty good professors.
Ashley R –
The videos were excellent! R Lab is awful and the feedback on what needs to be done to correct the error was less than great. But the instructors and videos were excellent.
Andrew B –
Good course! A good review of basic statistics.
Eric W –
Good course. The instructors are strong and easy to listen to during the lectures/videos. I think sometimes in the R lab exercises, the syntax is challenging and distracts from the concept being covered. Overall a very good course.
Gabriel C –
Very fun and friendly course, I highly recommend to anyone who wants to learn Basic Statistics.
Dmitry V –
If you are looking for a course to start with Statistics, start from this. Great balance of theory and practical skills.
Sachin D –
Instructor delivered lectures with good live examples,they have indepth knowledge of the course.