 Okay, I think I am actually what I did was hi everybody. This is Monica again, um, and I am Back I don't know if anybody can find me but what I did was I upgraded restream right so restream is a streaming tool. I'm using and It a lot lets you use it for free, but it's not functional at all So now apparently my chat works apparently I'm streaming to LinkedIn and to YouTube um, and it looks like people can get to me because there's this little symbol that says eyes and You know like people who are watching. Oh, look at that. I can see your message. Um MD Arun. Yeah, awesome. Oh and you're on YouTube nice to meet you MD Arun. Is it like dr Arun, I'm sorry if it's dr Arun, then I'll say dr Arun, but it could be MD like your name is MD But anyway, yes, and and hello Welcome, let's see here So, um, awesome. Awesome. So, uh, you're the only one here So if you have any questions go ahead and ask them. Obviously You ask the first one. Can you see message now? You know, so it's awesome It's Oh, it's your front and middle name. Okay, very good. Okay, so I But I could call you doctor. I'm sure that's a honorable thing to say. That's a nice doctor But maybe you're a doctor of data science Do I work with ssis? No, what is ssis? You'll have to tell me what ssis is because Oh, okay. Well, I maybe you're writing in along the I'm sorry there. I'm getting uh this message here that it says That you can't post To some places. Okay, let's see here. We read reply close I Oh, uh, oh etl tools ssis is etl tools. I'm sorry. I haven't done it, but I am really good at etl Okay, I love etl and I'm very good at designing it So usually what I do Is I study the data outside of the tool or if the tool is a profile or study that and I design the etl before I go into the tool, but so so I use etl tools all the time I just have never used this one and and welcome. It looks like um, erin is here. Nice to meet you erin Um, thanks for the great content. Oh, thank you First is data science used in the realm of forestry and do you know how to structure it? Okay First of all, I'm just going to be clear when I use the term data science. What I mean is statistics informatics and usually some study design You know management. It's a it's a combination of things. So I will tell you from that definition It is used in forestry. I haven't met anybody in forestry using it But I do know it's used all the time in in mapping and forestry is all about Like where like like geography So I will tell you if you want I can guarantee you even without googling anything if you want to go into data science And forestry just jump into geographic Stuff, you know And and you ask do you know how it is structured? I would just say shape Land you're in shape land like arc gis. I'm not good at that stuff, but if you are Go into the forestry. I would go that direction um Oh and and then uh md erun says that ssis is powered by microsoft. Well, that's probably why I haven't used it because Oh, you're a data engineer. Oh, okay. So you're good. See People say they're data engineers and the only thing I hear is engineer because I'm not an engineer And I'm really bad at engineering. So I'm like, thank you. You're you're oh good. I'm glad that helped Aaron Um, yeah, so I'm not an engineer and so when people have talked to me They say you're kind of an is person. I'm like, yeah, I'm an is person but I get along really well with engineers because I need them, you know engineers know how to fix things. They know how to get in the weeds and fix things I I need to md erun They know how to do they look my favorite boss ever My favorite boss ever was an electrical engineer and he taught me so much But the thing I loved about him is when we started working together He was a cio He said to me he goes, what are we doing here? And I said, let me explain epidemiology to you and I accelerated to him in a half hour and he got it You cannot do that with a doctor Doctors don't understand epidemiology in a half hour, but engineers you can really you can really transfer knowledge back and forth But um, but I need him, you know, so because I do I'm more of like a designer Um, like I designed front ends Good luck trying to program a front end you know, um Like it's so funny. I had this intern Well, actually she was just my customer and she came to me and she's like monica. I'll learn how to um, Make dashboards and r. It's like that's front end programming. I can't do it I said, I can't teach you I can teach you how to design a dashboard I can teach you the whole process I need you how to make something gorgeous and runs nice. Everybody loves it, but I can't program So she's so smart. She just figured it out and um, actually, you know, let me go get the link I'll get the link. I think I have it here. She's actually made two. Here's the first one we made Let me give you the link in the if they let me use the link here Okay, here's a dashboard we did again. She did all the power. She's just so so amazing Okay, so md ruin has a question How does a data scientist and data engineer work together in industry? Well, I was kind of giving a hint about that So imagine I'm working with like a data You worked with data analysts. Okay, so I do data analysis, right? Oh, why because a working with data analysts because If you're working with a data analyst, you're working with somebody who's answering a research question Like they're analyzing data to answer research question when it comes to Data science the way they've been using it with data engineers You're sort of thinking something else. You're thinking more of an applications thing so I'll give you an example from something my intern and I did She scraped a bunch of data from a dashboard. We didn't like And we didn't like the display and the the dashboard was displaying Data about hospital infection rates because it's bad if there's hospital infections, right? It's public data. So she scraped she didn't like the display She scraped it and then I was saying we should be able to use these the data To come up with some sort of risk Level so we can we can order these hospitals So we fit a regression and we did that but then we weren't done I mean right like we want to instantiate that like we want people to be able to run the regression on the flyer Get the score on the fly and be able to choose a hospital on the basis of it Okay, that's more data science like that operational stuff Like the data analysts maybe could fit their regression and then they'll be like, okay, I'm done You know and they're like, okay. Well, how do we put in the dashboard? How do we make the user interact with it, you know, and so um what has happened is like How did I start out? I was a fashion designer. I have a degree in design Like I know how to design things and make things, right? And I'm just really good with data. So I became a data scientist. Um, but Uh in my intern, I'm talking about woe she she's a musician, right? people who are like Doctors and engineers like people you think that would be good data scientists are often just not that good for I mean They have to work really hard to be good It's not natural to move from being Uh in a clinical role To data science even with the data you use it's not Even really natural to go From engineering to like data science It's more natural to go from anything that has to do with like design Or has to do with like management um because The only thing is that you have to program and so you have to know how to do that And I like I said, I can't program a front end But I was good at programming back end. Well, not really programming back ends But designing back ends and also analyzing data. I'm good at doing that. I can deal with data, you know Just fine. And so um So that's why I can get around Um, when did you enter to data science field? Well, what happened was that's a good question or on what happened was The data science field didn't exist. Okay what Existed was different fields like I was In like the late 90s We had a lot of market research that was based on people going into a phone room With a bunch of phones and then calling people on the phone and doing surveys with them and entering it into a computer Or writing it down and people would enter and do a data analysis and that was public opinion research I was like one of those data collectors. I was really good at it Then I was a secretary in an epidemiology unit and I was like, oh, well, this is other data collection This is where they have like proton area You know insulin and stuff and so then I was like, well this other data collection pays more You know and you can be a scientist, you know instead of like a journalist You know, I wasn't sure whether I want to be a scientist or journalist So I I decided to become an epidemiologist Then I was doing study designs and collecting data and I was like, well, wait a second here I don't like Physicians they aren't doing my data, right? So and then I was like, I don't like anybody. Nobody's collecting my data, right? So I just started designing databases So I does the first database I designed was in 1998. I used to access and I was working at clinic So I designed this clinical database and I had to hit my eyes up because there was a the new privacy law and so I was doing informatics Trained in epidemiology and I'd done data collection And then now I you know, if you take if you get an mph a master in public health, they'll teach you biostatistics It's just if you're interested in epidemiology. Usually I go my god. I don't like biostatistics But I actually kind of like biostatistics. I mean I don't really get into the theory a lot, but the application is really cool Like I like fitting models, you know, it's so much like fitting an actual model like if you're a fashion designer so So I I just started doing my own biostatistics and doing my own Informatics my own database thing and data collection And and then my own epidemiology and I was like they should have a field for this And then um that the field data science showed up and I was like, thank god, you know, there's a field for this Because I was it was like in the early 2000s. I was like, you know The way the internet is growing we're gonna have just tons of data. We're not going to be able to analyze it We're not going to be able to apply study designs to it. So like if you um If you look at my linkedin learning courses one of there's a two-course series in um data science Big big data. I can't remember health design study design for health data big data health study design I can't remember many but anyway, it's these two study design courses. They're basically taking epidemiologic principles and applying it to existing data which We were starting to do in 2000s because we always had big data sets in epidemiology but they were We're starting to be able to do it kind of fast like because Technology advanced so it wasn't like you just hit run on sass and go home and come back the next day You know, you could do stuff more So we started having to get more creative and figure out like how do you really apply? You know and a lot of our data are biased now You know just data that show up in like insurance databases and stuff. So it's like how do you apply study designs to that? So I guess that's when I entered the data science fields like the early 2000s But it really didn't exist until about 2012 or 2013. That's the first time I heard the term data science but um All right. Well, it looks like there's still only one person here. I wonder if anybody Let's see here. So I've got um Arun you're here from you too. Oh, there's two people here I'm I'm wondering if anybody can get here from um LinkedIn well, maybe next time I'll do a better job of streaming and figuring out who's here Um, so whoever joined welcome. Um, and if you have any questions you can put them in the chat Um So I was gonna oh look. Let's see. You've got a question And it's my birthday and you're 23. You're just 23 in 2017 And you signed up for a full stack developer boot camp Oh, and you didn't like it very much And then you shifted to data into what you like very much. Okay. Well, that's good. So what happens is sometimes Sometimes networking stuff people don't like it and then they like data-y stuff and some people like Networking people do not like data stuff. So yeah, see that's the thing is a lot of times people don't realize What exactly all is in the computer field, you know, like like engineering stuff, you know, it's so funny because When I was like a kid You know, so I was in the 80s and early 90s You know, the idea of data science Just wasn't among kids like we would program games a lot and the games The way the games were is that there were the words really wasn't everything was so simple There really weren't databases like there was db2 And so if there weren't databaseing languages and it really wasn't until sequel was invented and um technology advanced in the early 2000s that people started thinking about data And programming with data, you know, so when I grew up all you basically had where you could program games You could make images and stuff and I was terrible at that. So I was like, oh, I'm terrible programmer And so my my friends from when I was growing up, they're like, you know, it's so funny that You know, I'm known as among us. I'm a terrible programmer But I'm the one who's writing books about programming and teaching programming because I'm good at programming data You know, so I'm probably like you You know, but like something like full stack developer I you know The um The the software language that displays like microsoft, you know, when you run microsoft word and microsoft excel And it looks like there's a piece of paper on the piece, you know on the on the desk that's called visual basic for applications and In the early 2000s, like people did a lot with programming excel like dashboards I wouldn't do it today. They're buggy and there's everything wrong with them. Just do things online, but um But like people were really into that and using macros and stuff I I can't tell you how many courses I took and how to do that. I never could figure it out see or so you So arun says I asked full step developer about the engine and job roles and they were like it's not a good job It's just go over full stack developer. That's where I learned my lesson not I know it's so funny. It's like well what you so going back you're so right or now going back to something I just said right remember how I said there weren't really data people before 2000 When sequel was invented, you know, and I was just seen as a like a bad programmer until we had data languages Well The other thing that happened was when we started having data languages Everybody wanted a database like when they invented microsoft access and somebody like me could just make a little database and have it All of the people at a workplace would say we want our database We want a database and they would go to like the it department, you know the it department that's doing things like Throwing cable through the ceiling and and putting catfives on the walls, whatever They go to them and say make us a database and they would just like They would have like a heart attack and I always laugh. I'd be like why are they having a hard time just Pull up an excel file and put some data and tell them it's a database, you know But then it was later in life and I realized oh, yeah That's like them coming to me and saying program up front and I'd have a heart attack, you know Yeah, so what happened is I Was sometime in the 90s. I remember meeting this guy. Yeah, like a sequel dba Yeah, yeah, see dba's this is so funny I deal with databases. I design them. I work with them, but dba's Don't really do databases. They just make them run So they're like they're like interesting engineers. They don't really care what's in the data They just know how to make it run. They're kind of like Like engine people they just make engines run and so if you have a sequel database And you have a sequel dba like you want a sequel dba because I'm more of a like a designer like I'll design the database. I'll design, you know The reports I'll design like there's a data problem. I'll design a flow or things, but um Oh, Abdul Rahim othman your comment didn't show. I'm sorry So your comment did your comment come in from um I'm sorry. This is the first stream I've ever done and so I'm kind of like troubleshooting Did it come in from linkedin because it looks like this comment came in from youtube Because now your comment is showing Um, if you want to repeat the comment that didn't show Uh, I'll see what I can do Oh And I know, you know, I just keep rereading the comments. I know I can okay, so you're from youtube I don't know. Um, why it didn't show. Well, I'm not showing the comments on the screen, but I can't like like here. I'll Let's see here. Yeah, see I I'm practicing here. So I I showed your comment Oh Let's see here My comment. Yeah, I was just practicing showing comment, but I didn't I I didn't show any comments until now because you just basically I just learned how to do that because you need a comment But if you want to um So your comment you can you made a comment from youtube and I didn't see it Yeah, I'm going back here uh Yeah, you know, I'm so sorry Abdul Rahim Um, but if you want to make the comment again, maybe I'll see it again Um, so everyone. Yes, I've seen some people who are working with the sequel dba and sequel developer dashboard etl They are upgrading themselves. Yeah, you know Now kind of what oh Hello, it's karnak. Sora. I saw your comment today Oh, I'm glad you're glad to see me live here. I'll I'll show I'll show your comment because it's such a nice comment That's a nice comment. I'm getting the hang of this. Thank you. Um All right, so let's see here again, um, so What happened to me as you can probably tell by my little story that you know First I want to do public opinion polling then I want to be uh, you know I want to do epidemiology and then I can't stand how the statisticians handling my data So I want to do that and then I mill the database whatever that I started just like kind of doing everything Well, when you start doing everything you turn into kind of like a producer So if you of any of you are musicians like professional musicians, let's say you go into record With your band, you know, sometimes you need some extra drums You just need some more something in there and they'll they'll at at the place that's recorded They have people who play music that they'll just produce it Like they'll just go in there and shake some maracas or something right And so I became kind of like a research producer or a database producer or whatever I go on to the team And whenever we hit something that nobody knew how to do I would solve it It's not like I knew how to program But I would design a solution for it Like I'd be able to figure out does a sequel developer do it or do we do some dashboard thing or Or do we just ask people to change the business rules or set a new policy? What do we do? So now I'm like a boss Basically, and when you're a boss your goal is always to never um Program, but then I'm always programming. I'm always also reading other people's code. So like my intern wanted to learn python I say, I don't know python I know are and then she went and learned python on her own And she learned our first and then she learned python So I probably should learn python, but I'll bet you anything if you showed me some python I'd be able to read it and be able to figure out what was wrong with it You know because once you've done it like so many times You get kind of good at like I'm I'm not a good Programmer like if you want to build a sequel back end You know he will actually build it. I'll design it. I'll design a beautiful one, but you know You want people who are programming every day to build you things? Um, okay. So, uh, oh Abdul Rahim. We've got your question up Um, I'm a beginner in data science. I'm following a roadmap I started with python By watching a for our video on free co-cam in another video, but I feel like I'm not getting it Please advise. Okay. So here's what the problem is and actually You asked I I have an answer to your question and I'm going to go to my blog and link you to this. Um, whoops Got this I'm gonna look up. I'm sorry. I'm just kind of looking away from the screen But I'm gonna look up this blog post to give you um Because it explains what I'm gonna summarize really quickly here and I did it on I made the blog post because I was getting a lot of Comments just people writing to me Um, like saying what you're saying Abdul Rahim. So here's I'm gonna post this in the chat here Um, this is a blog post. So people were saying to me monica. I'm taking these courses. They're not syncing in or uh, sometimes Like you just went through a four hour video and you're like, okay. Am I really getting anywhere? Sometimes people do more than that like they'll take python They'll learn like every programming language like sass are everything and then they'll say this to me and what I realized is The reason why I was able to pick up Anything about data was because I was a secretary. I was just somebody who was doing data entry I was somebody who was dealing with the business So the first thing you should do is pick a topic and you'll see that when I go when you go to that blog post I'll say pick a topic first Now and you'll see that I say well if you're old like me It's easy to make a topic because you've already had you know, maybe you were a nurse already. So you picked nursing or something Um, when you're younger, it's harder to pick a topic because you're like, seriously I'm going to pick a topic now When I don't know about anything and then I'm going to get a data science job in it in a year or something Well, it's not really that it's actually simpler than that like when you think about it There's stuff you already kind of know about You know, it's just that do you like it or not, right? Like do you like finance? What do you know about finance? Do you like it? You know and and so Usually what I do is I I tell people Pick a topic that you think you like and then take just classes in that topic. So um People will like for example, a lot of people want to do like marketing like online social media marketing I'm like I I seriously recommend you take like and I've taken this I've taken an online marketing course um on linkedin learning Because I just wanted to understand marketing better and they teach you all this terminology And all these concepts in that field. So you and you kind of have to pick a topic Then when you go when you do so, let's say that you had picked healthcare Abdul Rahim like let's just pretend that was the topic you picked then starting with python It's not a good idea because people in healthcare don't really start with python My um intern Ended up at python after she learned like sass and r like she's learning sass now because in healthcare you have to learn sass All their stuff is in sass So it's kind of like once you pick the topic and you kind of know something about the data in there It sort of leads to data sets that are in a certain format It leads to certain kinds of data analysis they always do And then you can and then when you take a four-hour course Maybe you can take one that's in that topic where they're doing fraud detection or whatever you're trying to do And it will sink in so that's how you get it to sink it. Okay, and then um I see a rune says here sometimes people learn web development python and they just confuse themselves Exactly because like what are you trying to do? So one of the things that I linked those of you've been on for a while I linked you to um a dashboard my intern made right Why was she able to make that dashboard? Well, I'll give you the backstory She came to me she wanted to learn how to design a dashboard Well, I had just written a report for a healthcare system where they were having some trouble with their their uh, uh Visualizing their healthcare infections just for a report and I said I have the perfect thing for your dashboard Like we'll make some fake data and you can put it in there and and do it What unfortunately she didn't learn then is that it's actually really hard to come up with a use case for dashboards It's like like all that development had happened already You know what I'm saying and so like if she had just been devoid Of the topic that I'd already cooked up her she wouldn't have a really like because I saw her she was making dashboards But she like for instance, she made an agricultural dashboard And I said well, I want to look at the midwest because I'm from Minnesota and she didn't really have a map for it So I was like, okay, you know, you need to have a use case or you don't really know what you're designing Um, oh and I will say hello Reginald Uh peaks Peaks the second. I shouldn't be just trying to pronounce everybody Reginald. Nice to meet you And if you have any questions go ahead and put them in the chat Um, this is welcome to my first, um live stream But it's now definitely gonna happen again because I got frustrated and I bought the upgrade to the software So, you know, I gotta get my money's worth and so I'm gonna just live stream constantly now All right. Well, so I'm so glad you guys all showed up like the five people showed up to my first live stream I'm so happy Unfortunately, like I was trying to do this on linked in, you know, because if you're on linked in And you follow What one place I'd recommend to follow not that everything they do is good But they do a lot of live streams and they're they're really interesting and not all of them But some of them are really interesting. It's kind of catcher. Catch can't I'm gonna Find it on here. They're called product school Let's see here product school Yeah, if you follow them Excuse me, um Here they are. I'm gonna I'm gonna put a link to them in the chat Peggy's pronounced Peggy's Reginald Peggy's the second. Thank you Um, all right, welcome So this is a link here to project school and if you follow them they're on linked in You'll get a notification every time they go live And they usually have like data scientists who actually worked at a place like like uber or something, you know talking not always data scientists sometimes project managers and stuff and um And uh, they like I said, you know people are all different. So some of them aren't that interesting But some of them are so uh, and I know a lot of people who are early on Just want to hear a whole lot of different people talk about different things. That's what that is good for Um, okay, so going back to arun. He says say how to start a data science field like a roadmap well Actually, you know, that's the um blog post I linked you to earlier It's and here actually, you know, there's even a little video here. Um I I really talk a lot about learning about your data First in your field. So let me Give you an imaginary situation. Okay Imagine you're like just starting college And you know, you want to be a data scientist and you want to get hired You want to work on a data science team when you're done with college like you want to apply and just get a job Okay Now let's say that you don't really have a field you really want to work Let's say that you're you're like mom is a school teacher Of like high school biology and your dad is like, um an endocrinologist. Okay Well, one thing maybe you'd be interested in biology. Maybe you're interested in molecular things You know, because your mom teaches biology and your dad's an endocrinologist Or maybe you don't maybe you hate all that What do you what did you do in your childhood? Did you um spend a lot of time? Like I had an uncle who told me that he was just failing out of high school And then all of a sudden he fell in love with cars and he had to learn about cars and you know And I remember my brother my brother got really into the Super Bowl. He memorized all the Super Bowl Uh statistics, you know, that's from American football And so it's like you want to find something where you already know The business rules. So what are business rules? Business rules are how That field works. So I don't ask me about American football, right? I don't know how American football works. I don't know how they trade. I don't know any of that But my brother does okay, so if My brother had been 18 and wanted to be a data scientist I would have been like go do that go do sports predictions because you know, you've memorized all of that Now my brother is not good at math. He's not really Into numbers. He's not really into science But with his knowledge He could immediately pick up Like the data science tools to you to apply it To American football because it was like so obsessed with it. You know what I mean? And so that's what the issue is is applying your data science knowledge and techniques to something that you know What you're doing, you know, I mean um So to Yeah, so Arun points out that there's a video on my channel of how to start a data science that I uploaded eight days ago Yeah, so what happened was I made this blog post But then I was watching youtube and I realized, you know, I don't read blogs. I watch videos I thought well, maybe I should maybe put this in a video And then when I put it in the video, I realized well, you know, the blog post is really focused on just health You know, because I'm from I'm an epidemiologist, right? But if you go on like linkedin learning, you'll know, I have an experimental design Course Which is not healthcare. It's like how do you do an ab testing online, right? And so I was like, you know, I think I need to tell everybody the generic idea that The software is sort of the last thing you do the software and the statistics is sort of the last thing you do Because if you can kind of imagine my brother again, he knows everything about american football He just doesn't know python. He doesn't know statistics. He doesn't know sass. He doesn't know How to write he doesn't know the scientific method. He doesn't know how to design a study whatever But he knows he knows what's important in football and what's not he knows what to expect He knows what all the terminology means. He knows what what when the seasons are he just knows all the business rules So one of the things that had happened to me was Just by happenstance I was going to school getting my undergraduate at the university of minnesota And I was studying fashion design, but I was also interested in journalism. So I took some courses in um in journalism and one of At the same time I was doing this job on the phone doing data collection. You're getting paid nothing, right? But it made me interested. So I took some courses in public opinion polling And that's what I'm kind of trying to get everybody to do who's at the beginning of their data science Uh, uh journey is to say, ah, that's interesting. Let me just take courses in that topic, right? I could have just gone and done a whole career in public opinion polling, but I think Why I ended up in epidemiologies. I really wanted something that was just clearly like humanitarian And also I was sort of intrigued by the idea that someday there'd be a worldwide pandemic. So here we are, you know, I guess it's a little uh anti-climactic now that we're here, but um, but anyway, so yeah, so that's why I made The blog post so what I've been doing is kind of like a lot of people Contact me on linkedin and they ask me questions because what I started to find out is This is always funny. I started to find out that I'm actually kind of a good teacher, right because what happens is A lot of people Can make a lot of money on teaching data science But and and I'm not saying they're bad like they're often people who have done it and so they know it the problem is Teaching computer stuff is not like teaching normal stuff It is hard to take Skills computer skills and and transfer them to somebody Especially if you're like doing it for do it yourself learners like people who like free code camp or or linkedin learning like what happened to me was You know, I I was an epidemiologist and I mean, I wasn't I was a secretary in an epidemiology unit and we were studying cardiovascular disease I cannot tell you how awesome cardiovascular disease is like your heart is amazing And your vascular system is amazing and all the diseases you can get are just like amazing Okay, but the problem is I went to work at an Alzheimer's institute where we were studying the brain and I hate studying the brain Okay, why you feel like it's the pain, you know, I'm like well first of all Everybody's heart is kind of the same but everybody's brain is totally different, right and your brain models the whole time I was at an Alzheimer's institute people getting Alzheimer's their brain has been modeling their whole lives, right? Like I was just hopeless, right? Like I was just like I don't want to study the brain But if you're an epidemiologist and you go work at Alzheimer's institute, you kind of have to take courses in the brain So I took these courses and accidentally learned about how How people do memory, you know, because that's Alzheimer's is they lose their memory Well, how people do memory is like learning in memory You can't learn without memory So it's learning is all about Finding a way like if I'm teaching you something and I want you to learn it I've got to find a way to take what I'm my my idea and make it be memorized by you So I have to find a way to make that message like Take it up by your sensory system in such a way that it lays down into Episodic or permanent memory like these different memories, right? So I started just like going. Oh, well If you teach online Like a college course And you don't want to have to deal with your class a lot You just make really good like really Really good learning materials that like communicate perfectly into their brains what you're trying to teach you And then you'll never get any questions. It's like this total hack, right? And if you want to see how I did it You can go on my youtube. I have a playlist of Actually, you know, let me just link you to it because a lot of people Who are saying monica? Where do I start in? uh In data science You know and they want to start with statistics. I say well, you know, a lot of people have just liked my My basic statistics lectures in Which I used to teach to my undergraduate class which are not you don't you you know, you can just they're just Code camp kind of stuff free code camp actually posted them. I'm just giving you the um I'm just giving you my playlist But free code cat contacted me and asked if they could put it together into eight hours And you can find that version too either one is fine. You know, it's just it's nice when people come to my um My channel, but you know, that's a very basic statistics And what I find is funny is Those were posted because I was teaching a class right and my class went well like I I worked at this college I taught this online class and undergraduate nursing um in statistics undergraduate nurses and it went well because I Used my knowledge from the Alzheimer's Institute to design this this perfect Curriculum that totally communicated to these people so they never asked me any questions So what ended up happening is I don't work there anymore But people were contacting me and saying can I use them? I'm like, yeah go ahead. Um, and also what I started noticing with people were commenting on the Free code camp one and also on the ones on my channel That they themselves were data scientists that they I mean they already knew how to do regression Like they already knew like logistic regression stuff, but they were watching these basic um Uh videos and they were just loving it and what I realized is Back when I was hired to teach that class. I remember opening the book and saying oh crap. I don't remember any of this And I remember just saying z-score. What was that? I remember we learned that like in 100 years ago So I had to actually totally relearn it And I guess it shows like I was like, okay This is how you read a tea table, you know, because I totally didn't remember learning it the first time And so it was a good, you know That's something that is a good strategy that if you don't know something very well You want to teach it, but I I warn you you don't want to teach it If you don't understand it enough because people would ask me to teach. I'll you're about forget it, you know Like I've got a connection. Um, Joseph Shantini. I don't know if he's on right now He's an engineer and we were just talking on linkedin about how he can just do calculus Like he's like my daddy can do calculus in his head. You know, I can't do that stuff, but um But I but I can design you a gorgeous data warehouse if you want one So um, so I see we have four people here on this and so uh, if anybody has any questions, uh about Um anything like learning materials that you think although I'm always looking for different ones I don't usually have time to try a lot of them because I'm kind of busy But you know and some of them are kind of long, but I do look at things I often um You know, there's just so much out there that where The person doesn't even design the curricula like I I remember watching this video You know, it was like I got this email and I was like, oh, we have this new data science course I was like, all right, let me go look at it And it was like suddenly you're in the python and he's clicking around and I was like I was like, what is going on? You know, and so I was like, you know, I You don't just go into my videos and we're just suddenly here and we don't know what's going on, you know um, and that's a problem like when it comes like I remember when I was um Working at that all-timers institute, you know, I with that great boss He said you can have any training you want but the problem was We would have to go to training at this one place and I would just fall asleep. I cannot learn Like in a class like about excel, you know, I have to do a project and so that's why you'll see that I'm always trying to get people to do projects to practice what they learn or at least do little challenges like, um Like I don't you don't those are you if anybody's listening to me And you want to go into healthcare analytics, you're gonna have to learn sass. Okay, so just face it so um, so i'm going to give you a link to um a Course let's see here A free course I made in how to use sass online because Like okay, so before anybody complains. I'll just tell you sass Is hard to use. Okay. It's uh But you have to you know, it's like vegetables you have to eat them, you know, um if you're in um If you're in epidemiology your biostatistics or public health, you're gonna have to use sass Let me see. I'm looking for my uh, here it is So this is a link to a free course I made and how to get started with sass um, but it's not um Any good unless you're sort of learning sass. So you're gonna want to like, you know practice with some white papers Oh, and reginald says I have posted stuff, but I don't know if you see it. Oh Did you reginald did you post it? In linkedin or did you post it in youtube? Let's see here Because I I think there's something wrong with linkedin And I can't see the stuff from linkedin like I should be able to um I'm sorry reginald if you've posted something. Oh, so it looks like this restream is missing some things because I think um someone else Said that Abdul Rahim, I'm so sorry. I don't know what's wrong It could be because I just paid for this today and it's still not kind of working, right? Um, so reginald, could you Is there a way you can copy and paste what you post and we'll see if it shows up again? and I'm gonna have to get you know better at this Live streaming In and one of the things I was I'm gonna have to figure out how to share my screen or show things Maybe you can't I don't know Let's see here And then let me think uh Uh, what else I could tell you um if you're starting out Like I've been sort of helping people who are starting out at the beginning. It's really overwhelming now like there's so much stuff um, one thing to think about is this is that What I teach are data programming languages that are pretty basic like r and sass and you know even sequels pretty basic But there's all these tools like I don't know if anybody's ever used cognose Cognosis by ibm and it's a tool. It's like an interface you can put on to um a data warehouse to do queries on it So it's like I in my mind I draw a division between things like cognose Or like tableau tableau is a visualization program But it's not really a data analysis program We are is even though r can do visualization. So I sort of draw this line between these sort of raw programs And ones that are more higher generation like cognose and I think that ssis you had mentioned earlier A ruin might fall in that category um, and those are the ones that I Those higher generation ones. Those are the ones that you know, like actually I have I have a colleague She's so sweet. She contacted me. She and a group Team contacted me and said Monica We have to use this graphic database and I was like, okay But for what? Like what what is the graphic database and then I I started realizing what a graphic database is because I had had a student Who was an interior designer to stay in interior design class? And we had to use this graph the software. It was super cool Where what she was doing is designing for homework. She was designing this Room in an apartment in new york. She was given the coordinates And they were saying okay at three o'clock in the afternoon What is the sun like and you have to choose a window and has to refract at whatever Well, what this program had was all that data and had all that geographic data They we were able to say how much sun would be on that apartment in new york on that day Uh, it also had loaded all the specs for the windows So we could choose different windows and see what the light was like what the heat was like inside so That's like an example of of a graphing database because all that data was in there Um, and then you could use these tools. I mean that thing like every time you clicked on it You could hear those little wraps running around inside it, you know So when my friend contacted me, she's like, wow, let's use it. I'm like, yeah, but we need like a use case Like you know what I mean like if my student hadn't come to me and said i'm trying to design this apartment in New york and three o'clock in the afternoon or whatever I I wouldn't have known what to do with that software with all the windows and the The weather in it, you know what I mean and the temperature and stuff and so it's kind of like I always am like, you know, like students or learners will come to me and say monarchy. Do you know this? You know power bi or something like that and I'll be like, well No, but I could probably figure it out if you've got an assignment in it because then I I've got a use case And so that's always the use case just kind of hits Like gives hints as to what you're how to use the software you know, um something that I sort of Figured out like kind of late in the game is what you end up doing a lot in Data sciences forensics. You're basically doing forensics. You're basically taking data and trying to figure out what happened um, you're taking structures of databases. You're taking um Analytics you're taking code and you're trying to figure out what happened um, oh everyone says ssis informatica talent have same features Powered by different companies, but they support their own products Um, rather than products like microsoft sql server works good with ssis and it works good with power bi too so these this is a very important point that our room makes is that these um These applications are friendlier to certain things than others and and uh, so i'll just even extend that a little bit sass is Like big data, right? So where are we going to put that in the sass server? But sass server like hello, it's 2022 now um sass has teamed up with snowflake db. So snowflake db is just uh, agnostic It's a cloud storage thing But because sass has become friendly with it It's easier like if you want cloud storage and you got sass and you want to use sass via which is um the online analytics package now, so if you you if you already have a sass uh shop Sorry, it's kind of like having a An iron lung You know like it's a very old thing and it's going to be hard to upgrade You know, but if you're doing something new in sass like starting a new thing You want to get sass via and you want to get snowflake db So so a room brings up this really good point that You might have programs to do the same thing But if you're working with a certain data program, you want to get that one, right? And then um reginald says i'm using a phone It won't copy the questions. So quickly i taught math the reginald says um, in fact, let me put it up here Let me see if I can Oh, there it is I taught math with an mba because of 500 math as an undergrad at aber new I'm an ms and I want to converse through email. Oh, okay. Um, I'm sorry. Yeah. Yeah, let's let's converse here I'll put my email in the the chat You know, it's a pretty open email. Um, so feel free to Talk to me. Yeah, I'd love to talk to you aber and Let's see here. Yeah, you're you're really smart reginald is very smart. Um Let's see here Um, so you know math really well, um, I don't so maybe you'll have to teach it to me Um, oh and arun says you work with snowflakes You say you work with snowflake. You mean you mean snowflake db or do you mean like you make? You're like me when I was in minnesota and you make like Snow women and snowmen. No, I'm just kidding. Yeah, like I actually The last thing I did before the pandemic shed everything down was I went to a snowflake data breakfast And oh, okay. So you are using snowflake db. I went to a snowflake data breakfast and Actually, I'd gone it was the second time I went the first time I went they had had technical difficulties. So I couldn't use it. I mean They could be forgiven because this was think about it. They just invented stuff like And then a second time I went I It's a good breakfast But they didn't have good use cases. That's my thing You'll learn that if I don't get a good use case or I'm not clear on the use case I I can't help like I have a friend um kwinton. I wonder if he's on here kwinton'll always come to me for advice And then I'll be like, what's going on? What's going you have to give me all the backstory and he never gives me the backstory and they're like And then finally he gives you the backstory. So you know, he's like I'm learning how to give you the backstory, right because I always need the backstory Before I can really figure it out. So um, so like I was saying earlier I I ended up doing a lot of forensics You know It's not unusual for me To talk to somebody who's having a data problem whether they're trying to analyze something or they're building a database or just something wrong It's not usual for me to talk to them make a million diagrams Ask them a million questions and then come up with like literally the simplest solution ever Okay Why does that happen? Because if you study design like the history of design There's a part where There's there's a certain design how um approach called Bauhaus And after that that's sort of an influence an approach called the style and those are the the um The design approaches I try to use and it's the same design Philosophy that Ikea uses So you'll see Ikea's stuff is very simple very well built well designed and designed with a lot of things in mind, you know, like the environment and storage and things like that and so that's why Like everything that Ikea designs and makes probably has A million documents and files behind it Because nothing is harder than making something simple And that is really true in data warehousing and in data, you know, um those of you like Well, everybody's into python now Hopefully all of you have heard this poem the zen of python which Maybe I should close the Livestream with it here. I'll link you to it. Yeah, let's read the zen of python. Okay, so I'll read you this poem here I didn't write it. It's somebody else wrote it. Who wrote it? Uh, what's his face tim peter's wrote it. Okay Beautiful is better than ugly explicit is better than implicit Simple is better than complex Complex is better than complicated Flat is better than nested sparse is better than debts readability counts Special cases aren't special enough to break the rules Although practicality beats purity Errors should never pass silently unless explicitly silence In the face of ambiguity refuse the temptation to guess There should be one and preferably only one obvious way to do it Although that way may not be obvious at first unless you're dutch Now is better than never although never is often better than right now If the implementation is hard to explain It's a bad idea If the implementation is easy to explain it may be a good idea Name spaces are one honking great idea. Let's do more of those Okay, so that was my um, oh and then some of these texts in here so Well that So that's my passionate reading of the zen of python, but hopefully you got my point You know, which is that less is more I guess You know, uh, what it you're doing data science. So Tim Peters was right Well, thank you everybody for joining me on my first Uh data science chat. I enjoyed chatting with you guys. I'm so sorry that everything's not working. I I appreciate you coming Um, oh you use my videos reginald. Oh, you're writing A book that will use mnemonics to teach basic stats Well, okay, everybody has to stay tuned because I've been working with a musician And I we've been trying to make some data science rock videos. So you can help Memorize things. So that's great reginald. I love it. I love it. Oh and happy new year. Yeah, happy new year to everybody Um, and thank you so much for joining and you know, I'm going to try and work on those technical issues And we'll just see where that goes. All right, so happy new year everybody. Bye. Bye You