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How did you get to where you are today? What incidents and experiences shaped your career path? What inspired you to start your training institute?

Summarized By: Jeff Musk on Tue Nov 17 2020
It's a pleasure to be here. Thank U S. So I've been working in education for over 20 years on if we go back far enough. It started when I was in college and wanted to, uh wanted to teach and couldn't pursue teaching through the traditional channels of going to work for Department of Education or anything like that. So I got involved with a summer intensive program that really prove to me how much I loved teaching and education so that that planted the seeds. Um, from there, you know, I when I graduated from college, I started an educational nonprofit in New Orleans and that connected the schools with the community on brought support to those schools from there. I eventually got my MBA and then joined. I did a stint of management consulting with McKinsey. Then I joined the Scholastic, where I spent quite a number of years building products and doing, um, educational technology and marketing. I left there to go to Kaplan, which is, of course, the global education company thing I've been at since 2007. Medicine, which is a part of Kaplan that I run, was started from within Kaplan. So It's actually a brand that was birth by Kaplan in the end of 2013, and it was a way for a cap cling to start expanding into Cem other markets where they could have similar impact of what I mean by that is, I think what Kaplan is all about is helping people sort of achieved their career career goals, career objectives and proceeded by fun learning. And often for those who've taken a print course, they do that in a relatively intense environment. Uh, they do it with a dedicated student. Ah, great instructor, a strong curriculum. So you kind of take those pieces together and somebody who maybe wants to be a lawyer, you know, can can now get into law school of her choice on then can sort of achieve that dream. So he said, How do we take those same components and start extending it to other fields? Really high demand fields, new economy fields? And so it was really sort of that went to the genesis of medics back in the end of 2013

What training programs and courses do you offer? How much time is spent on in-person and online classes in a week? How many weeks do students typically take to complete?

Summarized By: Jeff Musk on Tue Nov 17 2020
so at medicine. Our mission is to educate people to find value in data. We focus very Broadway on the whole field of data science and analytics training that can range from foundational skills, data literacy statistics. Uh huh. Two more data Analytics, data visualization, Python sequel. Things like that. Too much more advanced machine learning, natural language processing, deep learning, etcetera. And we we cover all of that. So to your first question, what training programs and courses do we offer are sort of Our flagship program has been a immersive, full time 12 week boot camp that is aimed at helping people get a career in data science and analytics. So this'll is something where people essentially quit whatever else they were doing, because it's a full time commitment and they're with us for those 12 weeks and then we work with them until they get employed. And today, you know, we have. We have graduates all over the world where, you know, at Google and Facebook and Disney and Apple and every place in between. Um so certainly one path is an immersive experience for somebody looking to change careers. That program is entirely offered live online um, but to my earlier point that we do much more. We also have shorter courses, courses that are more introductory in nature courses that are designed to help you if you're thinking about data science but want to just start doing beginning python and mathematics for data science or some of the introductory data sky and skills, so those courses can be shorter. Those could be 36 hours spread over six weeks. And again, all of those air also live online. So everything that we dio, whether it's at the foundational skill level and it's a 12 hour data literacy course or is a 12 week full time immersive boot camp, is 100% live online and the the amount of time it takes, it's just driven by the particular course.

What process do you follow for creating and updating courses? How do you ensure the relevance of topics and material covered?

Summarized By: Jeff Musk on Tue Nov 17 2020
Yeah, this is a great question, because certainly in our field, things changed quite rapidly, right? You know, a few years ago, just given the amount of data being created, the types of data, data structure, etcetera. There are new tools, new technologies on, you know, we our goal is to stay relevant to ensure that students are graduating with in demand skills are gonna help them to get hired. So we evaluate our curriculum constantly based on student feedback based on conversations with employers hiring partners, companies that are, um, practicing and doing data science every day to find out what is, You know, where we're hitting the mark and what skills are missing. We've, you know, as an example, you know, over the years, like we've started to do much more with certain tools in data engineering, Aziz, things like spark could become more, um, so and essentially, the processes that we take this feedback that we're getting from these different sources and we review it as a team, understand? Sort of, You know, where the trends are. We base that on our own understanding. So bear in mind that all of the data scientists who are full time employees with menace have been practicing data scientists. So this is This is not a program that sort of grown out of academia. It's one that's been sort of grown out of people working in industry and really have an appreciation for sort of what is used. Um, you know, in the real world in the wild. So we take all that feedback we call through it, we share it across the whole team and then say When you know, where do we need to make improvements? What do we need to take out? What do we need to put in Onda? We then, you know, work in smaller teams and we work on sprints and we develop MVPs were necessary. And that's how we continue to ensure, um, that our courses stay current. And you know now the truth is, is that some of the some of the changes that get a lot of that you're often read about, uh, are are things that are actually happening at a very small number of companies. So, for example, I just give one. You know, there's there's advances in computer vision that are really exciting. It's amazing what you can do today that you couldn't do 5 10 years ago, but also bear in mind that overwhelmingly, the large majority of companies that are holly using data science are not using something like computer vision. That tends to be something that is focused for a relatively sort of narrow subset of companies. So our goal is a training company is to make sure that we are me with those skills that are also most practical. So we want to teach you things like deep learning and computer vision and things like that. But we don't want to make that the focus, because you'll wind up with a bunch of skills that are not actually gonna be in demand at often the types of jobs that you're gonna get and the company you're gonna go thio following our program.

What criteria do you use to admit students and what are the various student profiles in your programs? What kind of career growth and jobs could students get afterward?

Summarized By: Jeff Musk on Tue Nov 17 2020
so this will again depend on which programs students are interested in. So for students who are looking thio for those foundational skills data literacy, statistics, python, things like that, those beginner courses do not have, um, emission standards. They're designed to be open to anybody. They're designed to be open to people with, uh, you know, little to no prerequisites. Um, you've got to start somewhere, right? So we build courses that are intended for folks to dive in because they're curious and they're interested, But they've never coded before. They don't come from, you know, a new analytical background. On the other hand, something like our immersive 12 week boot camp is highly competitive on that has a rigorous admissions process in order to get into. So in that case, uh, students do a written application, they do a technical assessment. They do a interview with the data scientist and sort of going through those different phases will then make a determination if somebody is ready to do the boot camp. Um, and that's because it's it's fast paced on. Do you know we have There are students in there who are PhD s, their students in there who are 20 year software engineers. There's there's quite the wide range, um, but I do want to be clear. Often, students think they need to have more experience than they, you know, sort of the classic ability of sort of judging yourself to partial. And so, you know, we always encourage students Thio interact with us. Teoh. We have a lot of free services to just give yourself a sense of, like, Do you have the skills that are the skills that are necessary? Um, as far so that sort of gets to the admission standards as far as the profiles. We have been adamant from Day one that data science should not be something that is sort of for the field, that it really stretches across every industry. It is, uh, it means so many different things. But that's courts about finding value in data. And that doesn't need to be limited, the only sort of in a week group. So we have intentionally chosen that we don't look for certain profiles. This is not a program where it's designed for a computer. Science students all right, you know, it's not a program that's designed for you have to come in with a master's or PhD to do it. As such, we have a really wide mix. Half our students probably have an advanced degree, but half Onley have ah have a bachelor's. In fact, some don't have any college degree. Um, most people have worked that some for some of many years called 3 to 5 years, but some are coming right out of school, and some have been working 15 2025 years. Uh, a lot of people come in with stem backgrounds, but we have many, many many who come in from the Lord's background philosophy, English, you name it. So we draw. And we're very proud of how wide array of backgrounds program draws on. Then finally, what kind of career growth in jobs could you get afterwards? Um, again, that depends on sort of what type of training programs you do with us if you do one of our introductory courses. The goal there is not a career growth. Uh, you know, that's a in investment. That's 36 hours. And the outcome should be that you have developed uninterested in coding and interest in analytics. You've taken sort of the first step in that career. On the other hand, if you come to the boot camp, then absolutely. The outcome is that it should help you to get a career in data science and analytics that presumably will come with, you know, um, increase in compensation. Um, and you know, as I alluded to earlier, we have students the most common job titles that people get after they do the medicine immersive program. Our data scientists, data engineer data analyst, uh, those are those are the big three. And they do that in every type of company and every type of industry. So students have gone on thio Internet companies and commerce companies. They finance their go into media. They got into real estate and pharma and health wide range. Andi. And the reason that they go to so many different types of places this is very important is because what happens to that student is not about 12 weeks of their education. It's about everything they brought to the 12 weeks plus that 12 weeks. So we always say, like when When people are interviewing, it's so critical to remember like you have all this other stuff that you've done in your career or in your warming? Uh, that's made you who you are. And the Medicis piece, the date assigned training piece is but that it's a piece, the most recent one that is helping you sort of tell your full story.

How do you enable collaboration, social interaction, and comradery among students? Do you use any software, host online or offline events, or follow any processes for this?

Summarized By: Jeff Musk on Tue Nov 17 2020
we, um uh we're big slack users. So all of our courses, whether the shorter part time courses where the immersive boot camps as well as our staff, uh, in addition, Thio email and things like that use slack for communication. Eso we teach via zoom. So that's the That's the commenting platform. And then we use slack for, uh, messaging and sort of constant engagement and camaraderie and all right, even once people graduate there, then invited to a very robust you know, 2000 plus member alumni community that is on slack. And that's black communities been thriving for years. And that's how they share ideas with one another and jobs and resource is and conferences. They designs memes and everything else. So I would say that you know, we use lots of tools and technologies, but for the purpose of enabling collaboration and interaction, zoom and slack are the primary ones

How do you support your students for internships or jobs? How do you prepare them for job interviews? How do you provide networking and mentoring opportunities?

Summarized By: Jeff Musk on Tue Nov 17 2020
So I think this question is very specific to the immersive boot camp, because again, the short courses, the goal there is not about getting a job. It's about building specific skills. I'm going to focus your question on immersive boot camp. And there, you know, we are a vocational training program. So in addition to having a robust, um, skill building curriculum, we also have friends. In parallel is a careers curriculum that careers curriculum includes a variety of trainings, all offered online in everything from, uh, you know, resume writing and Taylor in your LinkedIn profile for data signs, jobs to interviewing skills, salary negotiation, technical interviewing, which is a very special breed of interviewing that is new to many people, Um uh, and and a host of other sorts of, you know, kind of, uh, sort of training. So those are things that everybody gets. We then also ensured that every student who come to the program spends their last four weeks on a Capstone project. That Capstone project is interned, shared on a dedicated video site that includes the students LinkedIn and profile and get hub, as well as a link to the project to the recording, and we make that available to our wide network of hiring partners. So when you graduate, you get, you know, your video promoted to this to this wide group, Um, and we also then give you access to the alumni community. Of course, the beauty of the alumni community is that many of these alumni are now have been data scientists for years and are hiring data scientists and are posting jobs on behalf of their companies on these air course, or companies that have a disposition to retiring medicine rats. So that has a really sort of positive, positive effect. Um, and then we have dedicated career advisors on the team, and their job is to work with you and provide one on one support until you get a job. Whether that happens in a month, for three months or six months for a year, we're committed to working with you until you get until you get hired

How do you assist students in paying for your program? What kind of scholarships and financial aid are available for students and how can they avail those?

Summarized By: Jeff Musk on Tue Nov 17 2020
So we have, um, here again for the, uh, introductory short courses those people pay for themselves or their employer today, those tend to be $750 or less for the immersive program, which, you know, you know a much higher price tag. We do offer scholarships. We have $3000 scholarships that are available to, uh, people from different underrepresented populations. Aziz. Well, as two women, too active military members or veteran military members and um, l g l G B T Q members, they're all able to get that scholarship separate from that. We also. Then I worked with a couple different companies offer financing options such that you can pay in installments, um, or get sort of, you know, own deferrals to help you thio finances. And we're exploring some other financing arrangements that we think are pretty innovative. That will be, um, that we should, we think, will further make the tuition easier for some people

What marketing software and channels do you use to find and engage prospective students? Which are less effective? Which one do you recommend to students to learn?

Summarized By: Jeff Musk on Tue Nov 17 2020
So when we ask our students, how did you hear about medicine? The most common answer e mean for many people is they were referred by an A bomb or a friend or something like that. But otherwise it z Web search eso itt's Google. And so what is the What's the most effective thing to learn? I would say you want to focus on digital digital advertising and specifically, s CEO and ECM and really understanding sort of how to do advertising via Google. We do a lot with social media. We do a lot of marketing on things like Facebook and Twitter. Lincoln and those are all good channels, but they're still sort of second. Thio, you just heard writing by her digital advertising on the Web on then. The other thing that we find is very helpful is content marketing and thought leadership. So we do a lot of a lot of different sort of virtual events. Way used to run in what was the largest data science online conference in the world called demystifying data science. Um, and we'll do you know, virtual meetups and things like that, and those are also really powerful for engaging people, helping understand what

What three life lessons have you learned over your career? If any, please also discuss your experiences facing adversity, or trying something unusual.

Summarized By: Jeff Musk on Tue Nov 17 2020
I think the three the three lessons resonate with me lately are one to embrace continuous transformation. I look at medicine. Medicine has changed dramatically in its relatively short lifetime in terms of what we offer and how we think about the market and how we work with companies so embrace continuous transformation. The second is to think digital first at one point our business waas uh, you know, largely in person. But as we have really started, made our starting point thinking digitally, it has opened us up that enabled us to reach a lot more students. And then the third lesson is about expanding our and, um, making that a starting point. A sui build products and design trainings to think about. How can we build something that's going to reach the largest number of people? So even now, a lot of these conversations focused on our data science boot camp. Part of what we're working on internally is how do we extend this so that to thio to other types of courses and trainings for people who are not necessarily looking to become a full blown data scientists and data analyst, but still very much needed that kind of train

What starting job (after internship) would you recommend to students who hope to grow professionally like you? What other parting advice, dos, and don'ts would you give?

Summarized By: Jeff Musk on Tue Nov 17 2020
my my my ultimate advice is, uh, you know, pursue things you love doing right. Like if if you don't enjoy coding has an example, you will. Data science is not the right field to pursue. You've gotta You've got to sort of love it if you don't enjoy, uh, solving working through meth, messy problems, you know, data science is it's not just sort of thing you want to dio for me. I've I've always enjoyed, sort of, you know, tackling interesting problems and building a team and building Ah, business around how to solve this. And I always want to make sure that whatever I'm doing is something that I really enjoy doing. It's not about collecting a paycheck. It's not about, you know, being able to say I'm the president of company or anything like that. It's about finding something I love, then doing it a swell as I can. That would be my advice to to anybody this comes up, by the way, in our boot camp all the time, people will say, Well, I'm gonna have a final project. What should I do? My project on what do employers wanna you? A project on and What we say is find something you love because you're gonna be talking about this to employers around the clock. And if it's not something that you're passionate about, they're not going to get excited about it. Find things you are.