To a body of knowledge that only you uniquely know and that construction is relegated okay so about somebody spent eight years in digital marketing and now taking a break to build skills in data science and Japanese honestly I can't answer the Japanese part I think it's always a good idea to learn foreign languages it just helps from personal development perspective and makes you a more interesting candidate in general and you know in terms of somebody who knows digital marketing and is trying to you know build skills in data science I think it's seamless right.

I mean think about where a lot of data is coming from it is it's online in social media it's you know it's responses to kind of campaign digital campaigns in a Beach that you've generated and so on and so you know a being an elite being able to work on a very very vast amount of it of data with I know with that eight years of experience in that marketing domain it's fabulous I think I think it's an I think it could be fantastic more okay somebody has 18 years experience in a non-technical area how's business analytics helps me it's hard on to that question without knowing what exactly you did but I think the answer is very similar to the answer I gave to the person who was asking me about the construction engineering area look if you don't have I mean let's be honest about what industries like right so and think about your own context.

If if you are setting up if let's say you set up a company tomorrow and you wanted to hire somebody to kind of let's say you're a non-technical person and you want to hire somebody to build all of your technical infrastructures solve all your technology problems and so on and let's say you want to build an app to kind of complete with CG motivated straight so in that going to now you're going to hire somebody who's done a one-year business analytics program or one-year big data analytics program or a one-year pyros development program chances are no chances are they are going to go and hire somebody who's had 10 years of experiences you say hear this because your salary expectations are higher they're probably going to be more cost-competitive therefore they will go with them I mean that is the reality of how you would hire.

I don't see why it would change for somebody else I think we're you know understanding business analytics helps again to use an analogy and or to use the example of somebody who has but digital marketing experience earlier the kinetics is not an area per se item in it is a way of doing things it's you know people have always analyzed things people have always tried to get information and analyze and try to find an answer I think the olden days you would look at Ledger's and logbooks and try to understand this then it became calculated then it became consider and now you have kind of more sophisticated tools that can handle the vast amount of information and run sophisticated algorithms without much effort but the underlying principle has not changed.

I don't know what the non-technical area but let's say your work in healthcare let's say you work in I don't know food services in the restaurant business straight you have always worked or you understand a business really really well whatever that business is now understanding what the various points of pain points of customers are you know how do you actually gather data whether it's from customer data or whether it's your own back-end data are you then synthesize it and then be having the ability to actually analyze them and tell compelling stories about to your management team about what's going on in that industry and how it affects you that makes you a very pretty valuable chance are you are going to then be a business analyst in that particular industry or you're going to be on a functional team like marketing or sales or whatever it is but you know analytics is not restricted to a na ok like it's like somebody saying.

I am analytically minded that just means you are good with you to know looking at a lot of information and analyzing it and coming up with a solution so where we where and how will business analytics help you it's exactly that it's combining your business acumen with the analysis skills in fact the extension to that is the vast majority of us of people who come to some of our programs actually do you know do come from a business background and then go back to a business area but much more analytically minded which makes them a lot and I think we're running out of time and there are a lot of other questions okay I am going to very quickly answer some of these questions okay.

So what is the probability all of these analytics technologies will get automated and how soon the first part of the answer I would say very close to 100% probability it's like I said it's only a matter of time as when you know computing power technology storage data all of that increases and our own ability to think in higher levels of abstraction you know things you know do get automatic things to do advanced like you know as I've been trying to repeat over and over again it's not about learning a skill it's about you know learning to learn and it's about constantly refreshing what you're learning were you lying now five years from now chances are some of it will become obsolete some of it will become automated and some of it has been replaced by a lot more advanced and sophisticated set of tools that's how the technology works that's how life works so how soon is it harder for me to say.

I'd say the currents if you are on the cutting edge of and okay so two things that if you're looking at tools you guys are on the cutting edge of the kind of the most cutting-edge tools right now then chances are you know they're going to be good for the next five years or so or more the techniques are more long-lasting right so analytical techniques we'll be looking at linear regression as a technique has been around since the 60 and that doesn't change and it's still pertinent tricky to think about you know just plots if you think about all of these other areas this they haven't changed.

I think techniques are more long-lasting tools tend to have a shorter shelf life, okay somebody has a question about they enrolled for the data scientist course they want to know if they should learn Big Data technologies or you know they should become better at it a sense of machine learning skills the short answer is you know to become really really good at whatever it is that you're doing so if you are you know if it is oh and the clatter effect I think they've been a developer created with three user experience yourself fairly early on in your career I'd say you could go whichever way you want it don't try to check a bunch of boxes doesn't try to do something that makes you know somewhat competent in 20 different things so you know if you want to learn machine learning.

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