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Should I start with Django or JavaScript?
If your interests indeed lie in front-end development, JavaScript would be a better option for you since, well, it is the language of the front-end of the web, so to speak. Django (which is a framework, not a language) would be something to learn in order to create a back-end. So, you could even comRead more
If your interests indeed lie in front-end development, JavaScript would be a better option for you since, well, it is the language of the front-end of the web, so to speak.
Django (which is a framework, not a language) would be something to learn in order to create a back-end. So, you could even combine the two, building some application powered by a Django back-end and a JavaScript(-heavy) front end.
See lessIs PHP still a relevant language in 2017?
PHP is still very relevant! Since the release of PHP 7, the language is now being concidered as an enterprise programming language. This means that it’s used a lot of places where big work-loads happen. The true magic with PHP is that there are different frameworks that makes your code very nice toRead more
PHP is still very relevant! Since the release of PHP 7, the language is now being concidered as an enterprise programming language. This means that it’s used a lot of places where big work-loads happen.
The true magic with PHP is that there are different frameworks that makes your code very nice to look at; while also making your job very much easier. (little plug for Laravel ;))
See lessWhat is a programmer’s life like?
Monday to Friday: I work around 18 hours per day and I don’t even notice they were so many hours. I recover my dignity this way. Friday night to Sunday: I hit vodka like there’s no tomorrow, probably do some crazy things in some club. I loose my dignity somewhere I don’t recall. Repeat. Corollary: DRead more
Monday to Friday: I work around 18 hours per day and I don’t even notice they were so many hours. I recover my dignity this way.
Friday night to Sunday: I hit vodka like there’s no tomorrow, probably do some crazy things in some club. I loose my dignity somewhere I don’t recall.
Repeat.
Corollary: Dignity is a renewable resource.
See lessDo the international students get a job offer in Australia after completing their Masters degree from University of Melbourne?
See what all i can say is job always depends on candidate ability to takeup, as many indian students who are considered hard working 85/100 usually grab the jobs so dont worry for job earlier than your studies rather go study & gain good knowledge insights . Door for bigger firms will always welRead more
See what all i can say is job always depends on candidate ability to takeup, as many indian students who are considered hard working 85/100 usually grab the jobs so dont worry for job earlier than your studies rather go study & gain good knowledge insights . Door for bigger firms will always welcome you .
Good luck !
See lessHow do I make the most out of a MS in Business Analytics?
The biggest piece of advice I could give is to take a course in microeconometrics/labour econometrics as a part of your course. If your course coordinator won’t let you, beg. If they still won’t let you, then go off-line for a week or two and properly digest Mostly Harmless Econometrics (or if yourRead more
The biggest piece of advice I could give is to take a course in microeconometrics/labour econometrics as a part of your course. If your course coordinator won’t let you, beg. If they still won’t let you, then go off-line for a week or two and properly digest Mostly Harmless Econometrics (or if your stats isn’t too good yet, Mastering Metrics). If you want to go and work in health analytics, then replace what I just wrote with the equivalent for research design.
Why learn microemet? Basically, many of the big questions in business are of the form “what will happen if we do x”. Predictive models that aren’t informed by causal reasoning do *terribly* at this question–they answer the question “what do we see happening to y when we see x”. Inferring what will happen to y when you fiddle with x is a difficult task when all your data come from a world in which you did not fiddle with x. Too often we come across people with great technical chops who aren’t even aware they’re making mistakes when answering these questions. Don’t be one of these people.
The second biggest piece of advice would be to not become too enamoured by the sexy end of data science (especially predictive algorithms), but *do spend the time learning this stuff in depth*. Often the simple stuff done well is far more useful to real-world decisionmaking.
Third: read very widely.
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