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.
Why Take This Course?
This course will cover visualization, probability, regression and other topics that will help you learn the basic methods of understanding data with statistics.
### Lesson 1: Visualizing relationships in data
Seeing relationships in data and predicting based on them; Simpson's paradox
### Lesson 2: Probability
Probability; Bayes Rule; Correlation vs. Causation
### Lesson 3: Estimation
Maximum Likelihood Estimation; Mean, Median, Mode; Standard Deviation, Variance
### Lesson 4: Outliers and Normal Distribution
Outliers, Quartiles; Binomial Distribution; Central Limit Theorem; Manipulating Normal Distribution
MOOCs stand for Massive Open Online Courses. These arefree online courses from universities around the world (eg. StanfordHarvardMIT) offered to anyone with an internet connection.
How do I register?
To register for a course, click on "Go to Class" button on the course page. This will take you to the providers website where you can register for the course.
How do these MOOCs or free online courses work?
MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you. They also have student discussion forums, homework/assignments, and online quizzes or exams.
Danya Lettecompleted this course, spending 25 hours a week on it and found the course difficulty to be medium.
There were some irregularities that made the course very hard to follow for a beginner. For instance, there were different versions of some formulae that were used in different contexts, with no explanation as to why or which one should use when. It seemed like maybe the instructor glossed over some concepts in order to avoid boring the students, but at the end it just made the material incomprehensible. Math is supposed to be dry, so I guess my critique is that this class wasn't dry enough so the lessons were essentially useless.
Exceptional teaching! Professor Thrun is the BEST teacher I've had in my life. Engaging, bright lectures, relevant homework assignments. The first (and so far the only one) MOOC where by the time of the assignments I remembered all material and didn't have to go back to the videos for references. I took the first offering of the course. There were few bugs in the grader, that are fixed now. They also added new lessons. I really recommend this course to learn the basic statistics.
Apostolos K.dropped this course, spending 2 hours a week on it and found the course difficulty to be hard.
Interesting concept, but not executed well. I actually got half way through (or was it 1/3?) before I decided to call it quits. The initial videos were pretty OK, but as we progressed it felt that I missed something, as if there were missing videos that clued me into their methodology
Very good class. The material is a great preparation for Statistics 101 or for just becoming literate in probability and statistics concepts. The instructor explains concepts very thoroughly, with love. Questions/answers are interspersed in the lectures, a very effective teaching strategy. Especially high school students would gain considerably by taking this course.
This was a good introductory course. While it did not perhaps cover the full range of topics found in a college level stats intro course, it does show the student that introductory statistics does not require any high level math. The end result will be a very serviceable and usable knowledge of basic statistics.
This is the best class I've taken! It had just right amount of information, challenge, and engagement for me! Thank you Sebastian Thrun! Highly recommend it to anybody who wants/needs to take Statistics 101 or maybe just curious about probability of rain at your place or what door to choose at Let's Make a Deal :)
Kevin C. Murray is taking this course right now, spending 5 hours a week on it and found the course difficulty to be hard.
This class has a ton of good info but is deeply flawed. The pacing between videos and quizzes is terrible in the early section with some videos consisting of :08 snippets that simply have the instructor saying "Great, you got it right" which could have easily been combined with the following video that introduces the next topic or quiz. You can almost see them struggling to figure out how to make an online class.
While some sections are paced far too slowly, others rocket ahead without even preparing the students for the concepts they quiz you on. For math or computer science students, I'd imagine this course would drag and then suddenly become more what they're used to. For everyone else, avoid.
Some of the videos (example in the Central Limit Theorem) are not clearly explained. The Teaching Assistant does not explain the concepts or even ask the questions using accurate language. The forums are sparsely populated with meaningful answers.
Context: I've just finished problem set 5 on inference.
Some of the concepts could be better explained. Some of the formulas used shift throughout the course or are inaccurate. Some of the problem sets appear to use techniques that are not introduced in the main course material. :(