« Reading Predictive Analytics | Main | Know your data 11: Facebook and you »


Feed You can follow this conversation by subscribing to the comment feed for this post.


First of all - this is a great idea. Statistics course or tutorial that doesn't look like a math textbook full of formulae sounds fantastic. I only had a quick look, but the choice of content looks great too - real life examples and practical applications. Thank you for putting it together and offering it for free.
But why did you choose the video format for it? As far as I could see, there was nothing animated or moving there, the same slide was shown for many minutes while you narrated the content. I personally found the narration pace too slow, but someone might find it to be just right.
I would prefer reading it at my own pace while referring to slides/images embedded through the text.
Also, the sound is far from studio quality - it has distracting undesirable sound effects and some background noise.
I think this would have been better as a series of blog posts or similar, and for quizzes after each section you could use some web widgets or just simple bullet lists with answers in next section.


B_dimitri: Thanks for the note. The platform specifies a particular video recording software, and user feedback will definitely influence its future development.
As for my own part in this, I have to say I learned a lot from developing this course. One thing I definitely learned is I speak too slowly. You may notice that in Days 2 and 3, I tried to speed up. Day 1 was my first ever recording. I may re-do it if enough people find it unacceptable.
I also notice the static slide problem. I could not figure out how to solve this because you can animate a sound bite, but not a full hour-long lecture. One thought is more slides with more pictures, and fewer words per slide. I was wondering how people can listen to business books as audio books.
The other thing that surprised me was how much time it took to create such a course. All my slides have to be buttoned up before I could even record one word.

Andy Holaday

Hi Kaiser, I just listened to the 1st night in full. Overall, this is a great job, and I appreciate what you have done. The content is great and I like the way you talk through and elaborate the slides and examples.
The pace was a little slow for me, but possibly that is because I have already read "Numbers Rule Your World". My only real criticisms are the slide show renders horribly on the video, and it doesn't seem possible to get feedback on the quizzes.
Thanks for putting this together!


Andy: Thanks for the encouraging words. I will send the feedback to the site operators, regarding the software. What do you mean by feedback on quizzes?


I've listened to lecture 1. The content is fine, but as you've noted yourself the narration is too slow (and a bit flat: Could you get Beyonce to record it? ;) ) On some smartphones you can speed up the audio playback; if that was possible on this website that would be a simple way to handle this.

It might be good to point out some of the limitations of credit modeling -- there can be a fair bit of GIGO if the incoming data are not accurate, and the credit reporting agencies don't have a huge incentive for accuracy.


zbicyclist: Thanks for the feedback. What I'm confused about (primarily because I am not an audio book person) is whether it is possible to learn anything from a recording in which the narrator speaks fast. Do you end up rewinding frequently?

For those who are wondering, GIGO = Garbage In Garbage Out. On the accuracy issue, I take a relative view, which is to say the alternative of manual scoring is not better as it relies on the same flawed data. From an absolute view, you're right that there are definitely mistakes.

The comments to this entry are closed.

Get new posts by email:
Kaiser Fung. Business analytics and data visualization expert. Author and Speaker.
Visit my website. Follow my Twitter. See my articles at Daily Beast, 538, HBR, Wired.

See my Youtube and Flickr.


  • only in Big Data
Numbers Rule Your World:
Amazon - Barnes&Noble

Amazon - Barnes&Noble

Junk Charts Blog

Link to junkcharts

Graphics design by Amanda Lee

Next Events

Jan: 10 NYPL Data Science Careers Talk, New York, NY

Past Events

Aug: 15 NYPL Analytics Resume Review Workshop, New York, NY

Apr: 2 Data Visualization Seminar, Pasadena, CA

Mar: 30 ASA DataFest, New York, NY

See more here

Principal Analytics Prep

Link to Principal Analytics Prep