WEBVTT 1 00:00:01.440 --> 00:00:03.750 Hey everybody, my name is Bill Shander 2 00:00:03.750 --> 00:00:06.390 and I'm very excited to be with you to talk about 3 00:00:06.390 --> 00:00:08.910 data visualization and communications. 4 00:00:08.910 --> 00:00:11.580 I get very excited when I talk about this stuff 5 00:00:11.580 --> 00:00:14.520 as you'll see throughout this course, I think. 6 00:00:14.520 --> 00:00:17.130 I think it's a really important topic. 7 00:00:17.130 --> 00:00:18.210 I would argue, in fact, 8 00:00:18.210 --> 00:00:22.350 that your number one job in life is communications. 9 00:00:22.350 --> 00:00:25.920 So if you have data, you have to communicate it, 10 00:00:25.920 --> 00:00:27.570 really anything you have to communicate. 11 00:00:27.570 --> 00:00:30.000 And so we're gonna work on communicating with data. 12 00:00:30.000 --> 00:00:31.710 Obviously, that's the name of the course. 13 00:00:31.710 --> 00:00:33.690 Now, why am I here? 14 00:00:33.690 --> 00:00:35.550 Well, this is what I do. 15 00:00:35.550 --> 00:00:37.140 I work with data all the time. 16 00:00:37.140 --> 00:00:39.660 I work with clients from a consulting standpoint. 17 00:00:39.660 --> 00:00:41.523 I do design, I do production. 18 00:00:41.523 --> 00:00:43.320 And these days I do a lot of this: 19 00:00:43.320 --> 00:00:46.350 speaking, teaching, all this kind of stuff. 20 00:00:46.350 --> 00:00:48.750 I teach a bunch of classes up on LinkedIn Learning 21 00:00:48.750 --> 00:00:51.720 about data visualization, concept visualization, 22 00:00:51.720 --> 00:00:53.947 information design from all different directions, 23 00:00:53.947 --> 00:00:55.655 and of course, I teach this class. 24 00:00:55.655 --> 00:00:59.579 This is going on year three, I think, for this class. 25 00:00:59.579 --> 00:01:00.930 And it's a lot of fun. 26 00:01:00.930 --> 00:01:03.360 I think you all will enjoy it. 27 00:01:03.360 --> 00:01:07.800 Now, data visualization is a lot of different things, right? 28 00:01:07.800 --> 00:01:11.370 It's any visual expression of data 29 00:01:11.370 --> 00:01:13.560 and it takes many, many different forms. 30 00:01:13.560 --> 00:01:17.430 It's been happening for a couple hundred years at least, 31 00:01:17.430 --> 00:01:19.020 we can talk, really, 32 00:01:19.020 --> 00:01:21.090 you could even go back thousands of years, 33 00:01:21.090 --> 00:01:21.923 believe it or not, 34 00:01:21.923 --> 00:01:24.750 with a little bit of nuance to the definition. 35 00:01:24.750 --> 00:01:27.570 But the way we use data, the way we communicate data 36 00:01:27.570 --> 00:01:30.720 from modern audiences takes all kinds of forms. 37 00:01:30.720 --> 00:01:34.230 And the fact is, humans require visuals 38 00:01:34.230 --> 00:01:37.230 to learn about data, largely, 39 00:01:37.230 --> 00:01:38.760 and we'll talk a lot about that. 40 00:01:38.760 --> 00:01:41.010 So we're gonna cover a lot of ground in this class. 41 00:01:41.010 --> 00:01:43.010 It goes by pretty darn fast. 42 00:01:43.010 --> 00:01:45.660 But we're gonna learn a lot of new things, hopefully, 43 00:01:45.660 --> 00:01:47.550 and eventually we're gonna get to the point 44 00:01:47.550 --> 00:01:50.550 where we are really getting good 45 00:01:50.550 --> 00:01:53.340 at thinking about communications. 46 00:01:53.340 --> 00:01:56.160 Now, what this is not. 47 00:01:56.160 --> 00:02:00.870 This is not a course on data analytics, okay? 48 00:02:00.870 --> 00:02:04.230 However, I'll be teaching a little bit of data analytics 49 00:02:04.230 --> 00:02:06.840 essentially in week zero, the prep week, 50 00:02:06.840 --> 00:02:08.965 I am gonna cover a lot of ground teaching 51 00:02:08.965 --> 00:02:10.560 some basic data analytics, 52 00:02:10.560 --> 00:02:13.380 basic data cleaning techniques, et cetera, 53 00:02:13.380 --> 00:02:14.310 just to help those of you 54 00:02:14.310 --> 00:02:15.840 who have zero experience doing that 55 00:02:15.840 --> 00:02:17.220 to sort of get up to speed 56 00:02:17.220 --> 00:02:19.980 so you can analyze some data and run with it 57 00:02:19.980 --> 00:02:23.670 because you need to take data and communicate it. 58 00:02:23.670 --> 00:02:25.680 So we gotta start with the data in the first place. 59 00:02:25.680 --> 00:02:27.333 So let's get going.