Latest Courses
Shopify Mastery | Build a Shopify Store in Just 1 HourCheck course
Java Regular Expression FoundationCheck course
Agile Software Testing - Techniques and ToolsCheck course
Python Programming Skills Test With ExplanationCheck course
Beginners Eclipse Java IDE Training CourseCheck course
Xamarin Android - A Master Guide to App Development in C#Check course
Python for beginnersCheck course
Salesforce Integration With External SystemsCheck course
Game Audio 101 & 201: Beginner to Advanced Game Sound DesignCheck course
Xamarin on Steroids: Xamarin Forms Shell and MVVMCheck course
Shopify Mastery | Build a Shopify Store in Just 1 HourCheck course
Java Regular Expression FoundationCheck course
Agile Software Testing - Techniques and ToolsCheck course
Python Programming Skills Test With ExplanationCheck course
Beginners Eclipse Java IDE Training CourseCheck course
Inferential Statistics

Inferential Statistics

FREE

Add your review
Add to wishlistAdded to wishlistRemoved from wishlist 0
Add to compare
8.6/10 (Our Score)
Product is rated as #16 in category R

This course covers commonly used statistical inference methods for numerical and categorical data. You will learn how to set up and perform hypothesis tests, interpret p–values, and report the results of your analysis in a way that is interpretable for clients or the public. Using numerous data examples, you will learn to report estimates of quantities in a way that expresses the uncertainty of the quantity of interest. You will be guided through installing and using R and RStudio (free statistical software), and will use this software for lab exercises and a final project. The course introduces practical tools for performing data analysis and explores the fundamental concepts necessary to interpret and report results for both categorical and numerical data Duke University has about 13,000 undergraduate and graduate students and a world–class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.

Instructor Details

Mine Cetinkaya-Rundel is an Assistant Professor of the Practice at the Department of Statistical Science at Duke University. She received her Ph.D. in Statistics from the University of California, Los Angeles, and a B.S. in Actuarial Science from New York University's Stern School of Business. Dr. Cetinkaya-Rundel is primarily interested in innovative approaches to statistics pedagogy. Some of her recent work focuses on developing student-centered learning tools for introductory statistics courses, teaching computation at the introductory statistics level with an emphasis on reproducibility, and exploring the gender gap in self-efficacy in STEM fields. Her research interests also include spatial modeling of survey, public health, and environmental data. She is a co-author of OpenIntro Statistics and a contributing member of the OpenIntro project, whose mission is to make educational products that are open-licensed, transparent, and help lower barriers to education. She is also a co-editor of the Citizen Statistician blog and a contributor to the Taking a Chance in the Classroom column in Chance Magazine.

Specification: Inferential Statistics

Duration 25 hours
Year 2016
Level Beginner
Certificate Yes
Quizzes No

53 reviews for Inferential Statistics

4.2 out of 5
41
8
0
2
2
Write a review
Show all Most Helpful Highest Rating Lowest Rating
  1. Avatar

    Amit C

    The course is very well explained I had to refer other materials for ANOVA technique to understand it better hence that part can be either improved OR more reference material be provided

    Helpful(0) Unhelpful(0)You have already voted this
  2. Avatar

    priyesh s

    This course is super and explained so well by the professor. I would recommend this course to anyone who has interest in data science

    Helpful(0) Unhelpful(0)You have already voted this
  3. Avatar

    Amarendra S

    Had a great learning experience with in depth knowledge of statistics, inference and hypothesis. Structure of the course helped me grasp things in an organized way. The use of real time data to explain concepts had a great impact in making things easier to understand and relate to things around us.

    Helpful(0) Unhelpful(0)You have already voted this
  4. Avatar

    Richard M

    Generally a great course, but would benefit from a better explanation at times of how to use R effectively.

    Helpful(0) Unhelpful(0)You have already voted this
  5. Avatar

    Chen N

    Much better than the course offered by John Hopkins University on the same subject. Concepts are clearly explained with detailed examples. Nice course to solidify your statistics skills. And BTW, really cute professor 🙂

    Helpful(0) Unhelpful(0)You have already voted this
  6. Avatar

    Akther H

    Excellent course.

    Helpful(0) Unhelpful(0)You have already voted this
  7. Avatar

    Galin D

    Very relevant to modern day needs of a data scientist/statistician. Easy to understand as a relative beginner.

    Helpful(0) Unhelpful(0)You have already voted this
  8. Avatar

    Afzal A

    Expertly designed course, Useful.

    Helpful(0) Unhelpful(0)You have already voted this
  9. Avatar

    Lalu P L

    Awesome Course

    Helpful(0) Unhelpful(0)You have already voted this
  10. Avatar

    Jacob T

    The best online course I have taken so far. It teaches you all the statistical methods you need to do for inference. The lessons are well taught and organized in a way where each lesson builds off the previous. The final project is also a great way to put everything you learned throughout together.

    Helpful(0) Unhelpful(0)You have already voted this
  11. Avatar

    Rui Z

    Professor Mine is terrific. I’m sure she has a great depth of knowledge and grateful that she’s able to deliver her knowledge out to listeners. She uses meaningful examples all along the course, no dry pure mathematical cases at all. That helps a ton to digest concepts. And she constantly repeat some core concepts and how to interpret a statistic right. I didn’t realize how important this was until I was challenged with questions, then I came back and hear again her interpretation, and the whole thing became clearer. She’s one of the best professors I’ve ever listened to, and I’ve been through grad school, met so many professors. The current mentor Rolf was great at supporting. He answers a lot of questions in the forum. He’s very responsible and supportive. So if you’re considering on taking this course, take it now as mentor will change! I haven’t finished the course yet, but the enrollment rate seems to be quite decent, so I wouldn’t expect it to take too long to get final project reviewed and get certificate. I assume this is an important issue for any course takers. The only downside is that there could be more R code teaching, especially on complicated simulations. That way it may be more friendly to R beginners. I know it’s important to do research ourselves for codes, but beginners could lack of proper terminology or vision by nature to do the research on Google. Especially when I’m physically in the Main Land of China, where it takes some efforts to even get on Google, so doing code research took a lot of my time and was a little frustrating towards the end. But again, the overall course and support are great! If this is not a 5 start course, I can hardly give out my highest mark to any other courses. It helped me to understand inferencial statistics, practice R, and think more like a statistician.

    Helpful(0) Unhelpful(0)You have already voted this
  12. Avatar

    Ondina F P

    Very good explained course, with lot of useful exercise, so you can be sure to understand the theory. Th practical examples in R are well designed and explained. This is definitely a must for someone interested in statistics, with beginning concepts that you need to keep in mind for further coursers. The teaches is also excellent, explanation and examples are very good. Recommended!

    Helpful(0) Unhelpful(0)You have already voted this
  13. Avatar

    Natalie R

    Well–taught, but they need to provide more resources to help people learn R. R is not a user–friendly app and I needed to google how to do a lot of the things they’re asking us to do. Needless to say, I can google how to work in R on my own without paying Coursera a fee.

    Helpful(1) Unhelpful(0)You have already voted this
  14. Avatar

    Amruta G

    It’s a great course! Helped me identify and clarify lots of concepts which I had understood just halfway in class.

    Helpful(0) Unhelpful(0)You have already voted this
  15. Avatar

    Diego R G

    A very good introduction to the fundamentals of inference and NHST. It’s very important that you do all excercises and readings or you will not learn as much. Also, the course won’t provide a lot of information on how to use R, but if you spend a good amount of time on your project and make sure that it’s good you will learn enough. I had to review a lot of R projects that were not very good, which suggests that some students aren’t learning what they should. If you want to learn statistics or have limited knowledge on the topic, and also want to learn a bit about how to use R, take the course. If you already know statistics and you only want to learn R, then this might not be the course for you, as the emphasis is on statistics per se.

    Helpful(2) Unhelpful(0)You have already voted this
  16. Avatar

    Ruben D S P

    great class, I improved many Statistics skills and learned R at the same time

    Helpful(0) Unhelpful(0)You have already voted this
  17. Avatar

    schlies

    good course

    Helpful(0) Unhelpful(0)You have already voted this
  18. Avatar

    Evren O

    At times it feels lazy how it is put together. The examples are confusing (rather than clarifying) and there is close to no teaching of R, but the assignments are meant to be done on it. In fact in the forums it is endorsed by mentors to learn R somewhere else. Likewise, I saw one comment where the student mentioned how they got confused by a core concept (p–value) and could finally wrap their head around it by watching a Khan Academy video. And sadly, this was also endorsed by a mentor. Overall, I found the effort put into this course insufficient for people who are new to Statistics or R. Therefore, the name of the entire specialization becomes misleading as it suggests that we were going to be taught how to use R in statistics. I had high hopes for this course but sadly I will abandon it and spend my money on an alternative course/specialization.

    Helpful(0) Unhelpful(0)You have already voted this
  19. Avatar

    Heungbak C

    Very useful and meaningful lectures! I learned many things from this course. Thank you.

    Helpful(0) Unhelpful(0)You have already voted this
  20. Avatar

    Nandkishore

    seeking statistics inference through example in very convenient and easier way

    Helpful(0) Unhelpful(0)You have already voted this
  21. Avatar

    Nandkishore S

    seeking statistics inference through example in very convenient and easier way

    Helpful(0) Unhelpful(0)You have already voted this
  22. Avatar

    Robin M

    Great course, more difficult than the first module. The code was super useful to learn.

    Helpful(0) Unhelpful(0)You have already voted this
  23. Avatar

    David B J

    Very nice job of explaining the material. I love the diverse set of examples used in the lectures and labs.

    Helpful(0) Unhelpful(0)You have already voted this
  24. Avatar

    Harkeerat S T

    Very rigorous coursework. Loved the material.

    Helpful(0) Unhelpful(0)You have already voted this
  25. Avatar

    Daniel H

    An overview of inference, light on the math, light on the theory, and with an unfortunate failure to reinforce what may be the most important part of practice: what should be done when conditions for a particular method are not met. When you teach students how to evaluate the conditions required for certain methods, but then walk through those methods even when the conditions aren’t met, you reinforce poor practice. If you want to use an example where the conditions aren’t met, STOP once you find out the conditions aren’t met. STOP and REINFORCE the fact that you cannot use a method without meeting conditions. It is not a valuable exercise to walk through the plug and chug calculations anyway. STOP, discuss why you can’t proceed, and then move on to another example if you want to give your students an opportunity to practice taking the method through to its conclusion.

    Helpful(1) Unhelpful(0)You have already voted this
  26. Avatar

    Mit P

    Great learning experience. Very well crafted course. Thank you Dr. Rundel and the entire team of instructors!

    Helpful(0) Unhelpful(0)You have already voted this
  27. Avatar

    gerardo r g

    awesome

    Helpful(0) Unhelpful(0)You have already voted this
  28. Avatar

    Eduardo M

    Excellent!

    Helpful(0) Unhelpful(0)You have already voted this
  29. Avatar

    farzad s

    awful!!

    Helpful(0) Unhelpful(0)You have already voted this
  30. Avatar

    Tran T H

    It is very helpful to me.

    Helpful(0) Unhelpful(0)You have already voted this
  31. Avatar

    dumessi

    It is a great course, while some underlying logics are not clearly explained. And the quiz has some unexplained context, which is confused.

    Helpful(0) Unhelpful(0)You have already voted this
  32. Avatar

    fatima s

    Thank you Dr. Mine Cetinkaya–Rundel, you are the best teacher I ever had.

    Helpful(0) Unhelpful(0)You have already voted this
  33. Avatar

    Veliko D

    Amazing course. Perfect balance between theory and practice!

    Helpful(0) Unhelpful(0)You have already voted this
  34. Avatar

    Parab N S

    An excellent course by Professor Rundel on Inferential Statistics.

    Helpful(0) Unhelpful(0)You have already voted this
  35. Avatar

    Majeed K

    An excellent course. Thank you Ms. Rundel

    Helpful(0) Unhelpful(0)You have already voted this
  36. Avatar

    Charlotte C

    This is the second in the series with professor Cetinkaya–Rundel. She explains everything very well and makes the subject fascinating.

    Helpful(0) Unhelpful(0)You have already voted this
  37. Avatar

    Jingyi Y

    No tutor answering questions in the discussion platform.

    Helpful(0) Unhelpful(0)You have already voted this
  38. Avatar

    Hao C

    Teaching: I really like the clear and concise teaching style of lecturer and the wide range of simple real–life example used to explain the course content. I’m a social science student. Although I’ve studied quantitative research methods before, this course gives me some new insights into inferential statistics. I think I will never forget the statistical meaning of p–value after this course! Course Structure: The course structure is well organized with clear focus in each week. The first and second weeks are easy to follow, but the third and fourth weeks are more challenging. Textbook: The textbook used in this course is a good supplementary material, although it is not necessary to read the textbook. Course videos have already explained everything that we need to know at intro level. However, it is worth reading the textbook for the third and fourth weeks. Assessment: The assessment of quiz in each week is relatively easy. The exploratory data analysis required in peer–reviewed assignment is slightly challenging, because it might be hard for beginners to touch every required point.

    Helpful(0) Unhelpful(0)You have already voted this
  39. Avatar

    Giulia T

    Nice follow up from the previous course in the specialisation. The teacher is clear and the main concepts are reminded throughout the course and explained in good depth

    Helpful(0) Unhelpful(0)You have already voted this
  40. Avatar

    Nikhil K

    This course was simply amazing.

    Helpful(0) Unhelpful(0)You have already voted this
  41. Avatar

    Bibek D

    very informative course which was very easy to learn…..

    Helpful(0) Unhelpful(0)You have already voted this
  42. Avatar

    Soumya A

    good learning

    Helpful(0) Unhelpful(0)You have already voted this
  43. Avatar

    Aaron M

    A good course for learning statistical inference, though I found that more than a week per module was required to really absorb the content.

    Helpful(0) Unhelpful(0)You have already voted this
  44. Avatar

    Topon C R

    pesimo

    Helpful(0) Unhelpful(0)You have already voted this
  45. Avatar

    Ghada S

    I think it is a little bit difficult for someone who knows nothing about probability or R.

    Helpful(0) Unhelpful(0)You have already voted this
  46. Avatar

    Amy W

    The course is well designed, and the examples given in each lesson are informative and interesting. For the final project, I wanted to group some categories from one variable together in a new variable, but I did not have the code I needed to do it. It would have been very helpful to have that information in one of the labs prior to doing the final project.

    Helpful(0) Unhelpful(0)You have already voted this
  47. Avatar

    Volodymyr F

    Excellent course! I enjoy the whole Statistics with R specialization.

    Helpful(0) Unhelpful(0)You have already voted this
  48. Avatar

    Nimish B

    Very Informative

    Helpful(0) Unhelpful(0)You have already voted this
  49. Avatar

    Cynthia J J

    This is a wonderful course with a very good instructor. Her explanations and observations are clear, concise and on point. I am so glad I am taking this course because now the mystery of statistics is over for me. I finally understand this logic.

    Helpful(0) Unhelpful(0)You have already voted this
  50. Avatar

    Daniel G P C

    It was good I learned a lot.

    Helpful(0) Unhelpful(0)You have already voted this
  51. Avatar

    John C

    Excellent course to learn about Inferential Statistics and R!

    Helpful(0) Unhelpful(0)You have already voted this
  52. Avatar

    Eduardo B D S

    Great course. I think questions could be harder, but overall I learned a lot, especially with the final project.

    Helpful(0) Unhelpful(0)You have already voted this
  53. Avatar

    Bruno A

    Nice refresher course on inference testing, with a broad coverage of the types of variables / analyses. Not heavy at all on the math side. Students have to find their tips for R coding on the Internet for the most part. It is a good way to learn! But we could use more standard tips from the course itself, especially on EDA.

    Helpful(0) Unhelpful(0)You have already voted this

    Add a review

    Your email address will not be published. Required fields are marked *

    This site uses Akismet to reduce spam. Learn how your comment data is processed.

    Price tracking

    Register New Account
    Reset Password
    Compare items
    • Total (0)
    Compare