Intro to Statistics

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8/10 stars
based on  13 reviews
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Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Udacity online courses
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and ...
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and earn a verified certificate at the end of the course as proof of all that you've learned. You'll be learning from knowledgeable professors across various schools and parts of the globe. Learn about computer science from Dave Evans, an instructor at the University of Virginia, or delve into app development with Samantha Ready, a Developer Evangelist at Salesforce.com.

Provider Subject Specialization
Sciences & Technology
102 reviews

Course Description

Statistics is about extracting meaning from data. In this class, we will introduce techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
Reviews 8/10 stars
13 Reviews for Intro to Statistics

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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Sai profile image
Sai profile image
5/10 starsCompleted
  • 14 reviews
  • 13 completed
6 years, 7 months ago
This is a very introductory course and maybe best suited for high school students. There was a harsh criticism of this course by a college math teacher (http://www.angrymath.com/2012/09/udacity-statistics-101.html) and Dr. Thrun is going to address some of his concerns in the next version (http://blog.udacity.com/2012/09/sebastian-thrun-statistics-101-will-be.html). MOOC is still in its infancy and I think it is a great attitude to welcome criticism and try to improve based on feedback. Anyway, if you are thinking of taking this course, make sure to do so after the major update.
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Rajat Shah profile image
Rajat Shah profile image
8/10 starsDropped
  • 1 review
  • 0 completed
3 years, 11 months ago
Instructor seems very dedicated but the content covered is too basic. It got more and more boring as the quizzes in the course are very repetitive. It asks you same questions again and again with slightly different input and it gets very uninteresting. The concepts are not covered in depth and the approach to explain them only with examples in horrible. Seems to be only for the beginners.
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Emrah Erden profile image
Emrah Erden profile image
4/10 starsDropped
  • 1 review
  • 0 completed
4 years, 9 months ago
I have finished some part (23/34) of the Statistics course in 2014. Thanks to Dr Thrun, I have learned some of basic concepts such as Bayes rule and variance which are used in many of the image processing, machine learning and artificial intelligence courses. Also course introduced me with the basics of Python programming language. But this was the good part. Here comes the sad story: Ambiguities in the questions, miss-typed sections in the course material is unbearable and unacceptable. Trust me, in the course forums there are many people concerning about the same problems. The most sad thing is: even-tough the course started in 2012, none of the required revisions had been made even in 2 years time.. I have mailed, and reported Udacity about these problems, but nobody responded and no one really cares.. The course was a beta version, and still it is.. In my opinion, Udacity should first fix, and revise the problems in the... I have finished some part (23/34) of the Statistics course in 2014. Thanks to Dr Thrun, I have learned some of basic concepts such as Bayes rule and variance which are used in many of the image processing, machine learning and artificial intelligence courses. Also course introduced me with the basics of Python programming language. But this was the good part. Here comes the sad story: Ambiguities in the questions, miss-typed sections in the course material is unbearable and unacceptable. Trust me, in the course forums there are many people concerning about the same problems. The most sad thing is: even-tough the course started in 2012, none of the required revisions had been made even in 2 years time.. I have mailed, and reported Udacity about these problems, but nobody responded and no one really cares.. The course was a beta version, and still it is.. In my opinion, Udacity should first fix, and revise the problems in the course material rather than introducing new courses.
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José Luis Fernández Barros profile image
José Luis Fernández Barros profile image
8/10 starsCompleted
  • 8 reviews
  • 8 completed
5 years ago
This is an basic course, under graduate level, but with some fun concepts even if you have some knowledge about statistics. Sebastian Thrun, founder of Udacity, demonstrates to be a great instructor.
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Greg Hamel profile image
Greg Hamel profile image
7/10 starsCompleted
  • 116 reviews
  • 107 completed
5 years, 2 months ago
Intro to statistics is one of Udacity's older courses and while it was one of the few free stats courses on the web when it was released, it has more a lot more competition today. Intro to stats is a decent course that covers some of the most basic topics in statistics. The course fairly slowly with periodic spurts of difficulty. While most MOOCs underuse interactive elements, I found that this course had too many in-lecture quizzes, which just end becoming tedious. If you're looking for a basic intro to stats, Udacity's other stats course "Statistics" is a better option.
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Dick Heiser profile image
Dick Heiser profile image
10/10 starsCompleted
  • 3 reviews
  • 3 completed
5 years, 9 months ago
Sebastian Thrun is one of the best video professors of all. He is very smart and friendly. The course was outstanding. State-of-the-art.
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makoto_inoue profile image
makoto_inoue profile image
10/10 starsCompleted
  • 8 reviews
  • 7 completed
6 years ago
The first 30 % was a bit too basic, but then got really interesting. Even though the topic is about statistics, it has emphasise on probability a lot and the topic explaining about the conditional probability (aka Bayers rule) was the best part. This is also the first time for me to try out self paced course and I like the format better than the ones with deadlines.
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Dan profile image
Dan profile image
8/10 starsCompleted
  • 6 reviews
  • 6 completed
6 years, 3 months ago
Sebastian Thrun is an excellent instructor and his well-designed course included fun, diverse, and engaging example problems to apply Python to statistical analysis. Having used statistical analysis for work for the last five years (although not applied with code), having taken CS101 and Web App. development (both through Udacity), and coming from an engineering background, I didn't learn new concepts, but it was a good refresher for basics and an excellent way to improve code-writing fluency -- important in the working world where efficiency trumps technology in many situations. I had hoped the course would delve into some more advanced topics in data analysis, but in hindsight it is probably best left quite basic for the greater audience of beginner programmers with little or no background in statistics. The course is definitely worth taking to learn or refresh basics concurrent with applying it effectively in code. At a bare minim... Sebastian Thrun is an excellent instructor and his well-designed course included fun, diverse, and engaging example problems to apply Python to statistical analysis. Having used statistical analysis for work for the last five years (although not applied with code), having taken CS101 and Web App. development (both through Udacity), and coming from an engineering background, I didn't learn new concepts, but it was a good refresher for basics and an excellent way to improve code-writing fluency -- important in the working world where efficiency trumps technology in many situations. I had hoped the course would delve into some more advanced topics in data analysis, but in hindsight it is probably best left quite basic for the greater audience of beginner programmers with little or no background in statistics. The course is definitely worth taking to learn or refresh basics concurrent with applying it effectively in code. At a bare minimum, it will improve the critical thought process for the type of information we are exposed to each day by the spectrum of media. I would also recommend it for professionals not coming from a math background who want to develop practical skills for many types of consulting. IMO most work out there isn't about the ability to apply cutting-edge theory, but instead is about mastering the application of fundamentals and the ability to quickly perform 'back-of-envelope' estimates as 'reality checks'.
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Doug profile image
Doug profile image
4/10 starsCompleted
  • 6 reviews
  • 6 completed
6 years, 9 months ago
Course seemed like it was rushed and incomplete (although I know there have been revisions). Material was not university-level. I appreciate the attempt to make it intuitive and not too hard. But, the interactive quizzes were sometimes repetitive and too easy. There are much better options for learning Stats from Coursera.
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Keith Thomas profile image
Keith Thomas profile image
8/10 starsCompleted
  • 2 reviews
  • 2 completed
6 years, 7 months ago
Thrun will be updating the class shortly, but I'll still share my experience on the first version. I thought it was a very interesting class, engaging much more than a class at college usually does. His examples are really nice and those are what I remember the most after the fact. At the time, the difficulty felt just right, but now that I've taken a university-level statistics course, I see that this course only really covers about a quarter of what we covered at school. If anything, this is more of a high school level course. Stay Udacious!
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Jonahlyn profile image
Jonahlyn profile image
10/10 starsCompleted
  • 2 reviews
  • 2 completed
6 years, 8 months ago
This was a great class. Really helped me get ready for more advanced statistical topics.
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Bharat Krishna profile image
Bharat Krishna profile image
8/10 starsCompleted
  • 5 reviews
  • 5 completed
6 years, 8 months ago
It was a nice course. I expected more advanced topics to be covered. But as it is a beginner course they weren't. Optional programming exercises were good.
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Lawrence profile image
Lawrence profile image
10/10 starsCompleted
  • 1 review
  • 1 completed
6 years, 9 months ago
Great class.
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