« Real scientists make their own data | Main | Numbersense on MailChimp's Gmail study 1/2 »

Comments

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

Ron

How about an online offering?

Kaiser

Ron: It's been on my to-do list but probably not coming soon. It actually takes a lot of time to develop a good on-line course. I don't like the ones where they just videotape your on-site class; I want to do recordings specifically for the on-line audience. We are talking months of full-time work for a college-length class.

I do have a short course up and running here. As you will see, the recording can be improved. (This is how I figured out it needed months of work to do it right!)

Julien

I agree with Ron, an online version would be great. I started the Data Science Specialization on Coursera and I really like it, but it's missing a lot on the Data Visualization side.
https://www.coursera.org/specialization/jhudatascience/1?utm_medium=listingPage

I realize that this is a lot of work and maybe not compatible with the case approach. Let us know if we can help ...

Verify your Comment

Previewing your Comment

This is only a preview. Your comment has not yet been posted.

Working...
Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.

Working...

Post a comment

Marketing and advertising analytics expert. Author and Speaker. Currently at Vimeo and NYU. See my full bio.

Next Events

Mar: 26 Agilone Webinar "How to Build Data Driven Marketing Teams"

Apr: 4 Analytically Speaking Webcast, by JMP, with Alberto Cairo

May: 19-21 Midwest Biopharmaceutical Statistics Workshop, Muncie, IN

May: 25-28 Statistical Society of Canada Conference, Toronto

June: 16-19 Predictive Analytics World (Keynote), Chicago



Past Events

Feb: 27 Data-Driven Marketing Summit by Agilone, San Francisco

Dec: 12 Brand Innovators Big Data Event

Nov: 20 NC State Invited Big Data Seminar

Nov 5: Social Media Today Webinar

Nov: 1 LISA Conference

Oct: 29 NYU Coles Science Center

Oct: 9 Princeton Tech Meetup

Oct: 8 NYU Bookstore, NYC

Sep: 18 INFORMS NYC

Jul: 30 BIG Frontier, Chicago

May: 30 Book Expo, NYC

Apr: 4 New York Public Library Labs and Leaders in Software and Art Data Viz Panel, NYC

Mar: 22 INFORMS NY Student-Practitioner Forum on Analytics, NYC

Oct: 19 Predictive Analytics World, NYC

Jul: 30 JSM, Miami

Junk Charts Blog



Link to junkcharts

Graphics design by Amanda Lee

Search3

  • only in Big Data

Community