Get a DATA SCIENCE JOB with this TIP!



this is it we'll help you get your first data job it will I promise if you're looking for a data science or data analyst position try to think of it from the perspective of the person that's doing the hiring it's so easy just to focus on you and that would never do you see it higher as the opposition as the barrier to you landing your dream job as the person is going to ask you really difficult questions but that's just not the case they need someone to join their team and they have the difficult task of sifting through applicants and deciding who that person should be it's difficult because interviews don't showcase the whole person you don't see all of the strengths and all of the weaknesses there's often an element of luck and if you hire the wrong person well it can be a very costly decision so you need to be the Canada that makes the hiring decision easy imagine you're planning an event and you need a photographer now your budgets quite low so you're going to look for a younger less experienced photographer you find one you chat them and they seem quite pleasant they show you their qualifications which look pretty good and they chat about how much they love photography now that's all fine but you're not sure about so you start asking about the cameras that they've used they can talk about cameras the technical aspects of photography exposure depth of feel but you're still not sure so you ask about composition what do they know about it how do they use it to achieve the results they want and again it all sounds pretty impressive but you're still not sure and so finally you ask to see some photos they've taken and they say to you well I'm just starting out in photography so I haven't taken any photos yet I don't have a portfolio but if you hire me I'll take great photos for you would you hire them now instead imagine they're able to show you a collection of beautiful photos and they're able to talk to you through each one and explain how they took it the technical requirements behind it the artistic consideration and what the motivation was for taking that photo and then they start to talk about the similarities between the photos that they've already taken and the photos that they could take for you would you hire them then I think it's much more likely I filmed here because I think it's quite pretty and I wanted you to see the wear but I think the way is quite noisy so let's go somewhere else now okay so what am i saying I'm saying that a job interview is an opportunity for you to shine an opportunity for you to show off what you can do to show that you understand the needs of the company that you're talking to and to demonstrate that you're already a member of the team you just haven't been hired yet and how do you do that well projects projects are so important now I'm not talking about the projects that you do as part of your MOOC or your bachelors or your masters if you have one they're useful but they're nowhere near as useful as the projects that you do yourself on subjects that interest you the reasons these projects are more interesting to potential employers it's because they showcase your ability to apply the knowledge that you have they give interviewers an insight into how you work how you think and how competent you are they also give the interviewers something to talk to you about and questions to ask you one single project like this can show your ability to frame a question that you then go on to answer and to frame it properly you'll probably be answering a question that doesn't have you know tidy data set so it shows your ability to gather data from disparate sources combine it and clean it it shows how you can use visualization methods to communicate your data how you model your data it shows that your data curious and a using data to answer interesting questions and that you're not just trying to lock yourself into a cushy job it's also useful because if you mess up part of your technical interview but have shown proficiency in the same topic on one of your projects and are able to talk about it your interviewers likely to be more forgiving your own projects really do give you the opportunity to shine now I'm not saying that you don't need the other staff you will need the subject knowledge to be able to answer the technical questions but it's projects that will set you apart and doing your own project is far more impressive to an interviewer than doing your class projects or a cattle comp tition where the question is already framed and the data is presented to you as a complete data set all cleaned and ready to go the project is unique to you and enables you to stand out as a candidate so how do you find projects now that's a question start with what interests you music politics sport art wildlife there is so much data everywhere find it collect it and use it to answer interesting questions so there was just one last thing I wanted to mention I got back to the house set the camera up and I was just about to hit record and the neighbor it started knowing the lawn now you can't quite hear it at the moment but it keeps coming quite close to the hedge and then going away again so I'm gonna find somewhere else I'll tell you it in a second I've had to move about I don't know 200 meters away from the house I can still hear the lawnmower I don't know whether you can but anyway it's still there but I think it should be quite enough what I wanted to add was that the photo analogy when I was talking about the photographer and the portfolio I was basically saying and I didn't say it explicitly that you wouldn't expect a photographer to look for a job without a portfolio of photographs and really anyone hiring an entry-level data scientist or data analyst would expect them to have some kind of history of projects and they'd like to see those the other thing I wanted to add is that you must put those projects on github that's really really important but the third and most crucial point is that once you've done your project or maybe even as you're doing them write a blog write a blog that talks through the project that explains why you've chosen the project why you've done it in the way you have you know how you approached it how you collected the data whether you had to scrape data whether there were data sets available that you had to put together you know how you clean that data and then you how you went ahead and answer the questions that you wanted to answer because writing that it's a really good exercise for you to explain what you're doing and it's only by explaining things that we really understand them that's what I found anyway that's certainly my experience and anyone who's interested in higher you will be able to read that blog and get some kind of idea about you even before they've met you so they'll learn much more about you than they were just in an interview you know and it's a way of showing the world how good you are this channel is supported by Coursera now if you haven't heard of Coursera it's an online learning platform but I think is really democratizing education it's particularly strong for data related courses and I've put some links in the description below to some courses that I particularly like so if you're interested in a paid for online course on this subject then go and take a look I also now finally have a patreon page it's taken me a while to get around to setting one up but if you're interested in supporting me then go and take a look at that thanks for watching please like subscribe and if you really like the channel

39 Comments

  1. siguian Sawadogo said:

    I love this

    June 30, 2019
    Reply
  2. Muhammad Raza said:

    where do you live?
    it's beautiful

    June 30, 2019
    Reply
  3. Siti Shukri said:

    Thank you Giles for this video!!! I am still doing tutorials projects, hopefully in the near future aiming to do personal projects that has impact.

    June 30, 2019
    Reply
  4. Downhill D Miller said:

    Your advice gives me hope that I can one day work in a career field that will be more than satisfying!

    June 30, 2019
    Reply
  5. t2udu said:

    Wish you had released this video before I paid for the data analyst path for python on Dataquest, which I'm thoroughly enjoying at the moment. I'll give coursera a shout afterwards since it offers better value for a data scientist path provided the quality of education is similar or better. Love your channel, keep it up!!

    June 30, 2019
    Reply
  6. Gaia Golan said:

    Really nice video! I liked to listen to your tips while the nature on the background. 🙂

    June 30, 2019
    Reply
  7. Cheikhou Diallo said:

    love your videos man . thanks a lot

    June 30, 2019
    Reply
  8. Kona Dixit said:

    Dude I never did ring the bell like you do :p good one:)

    June 30, 2019
    Reply
  9. YuJin Dev said:

    Thanks for valuable advice

    June 30, 2019
    Reply
  10. Pragun Sharma said:

    I agree with what you said. But this advice although very practical is hard to implement for someone who is new to Data science. When you have so many learnings (python, statistics, ML algos) going on in this vast field of Data science, it is difficult to work on projects and blog at the same time. Since, you are new to this learning at that time with no experience in hand, you'll never see the larger picture and always ponder on what kind of project and what would you do on it. Working on a project and blogging about it requires a lot of planning and thought which could be intimidating for fresher like me.

    June 30, 2019
    Reply
  11. Povl Leckband said:

    very useful advice, for everything! not just data science.

    June 30, 2019
    Reply
  12. Aden Abdi said:

    I wann sturdy international data protection and privacy degree for 3 years. Givr some hint. Thanks

    June 30, 2019
    Reply
  13. Grit said:

    Where do I find good material to learn statistics.

    June 30, 2019
    Reply
  14. Yash Solanki said:

    Your channel deserves more attention ✌️
    Thanks !

    June 30, 2019
    Reply
  15. Anjali Santosh Ambat said:

    is IBM professional data science course in Coursera good for a data science beginner to learn and get the skills required for to become a data scientist.

    June 30, 2019
    Reply
  16. Shweta Redkar said:

    beautiful locations, a topic for video and very good tips.

    June 30, 2019
    Reply
  17. Jeganath Perialwar said:

    Nice locations and video

    June 30, 2019
    Reply
  18. J K said:

    Great data, Much appreciated 🙏 Thank You

    June 30, 2019
    Reply
  19. Peyman Saemian said:

    Hi, thanks for your great video. As you mentioned, for real projects we need to clean data before using them. Could you please make a video on how we put the collected data into a proper data structure and make them ready to use?

    June 30, 2019
    Reply
  20. Jessilene Silva said:

    🔔🤦‍♂️

    June 30, 2019
    Reply
  21. Jessilene Silva said:

    I've heard about Coursera , it's pretty well known around here in Brazil.

    June 30, 2019
    Reply
  22. Guitar riffs & Covers said:

    What are the kind of questions one data scientist likely answer by given data sets.

    June 30, 2019
    Reply
  23. Jessilene Silva said:

    Some valuable advise ! Yes, projects !

    June 30, 2019
    Reply
  24. Nelson said:

    How can I get a remote job or internship?

    June 30, 2019
    Reply
  25. Jason Park said:

    very enlightening!

    June 30, 2019
    Reply
  26. NorthKoreanNuke said:

    I don't often like, but that bell bit at the end got me. Excellent scenery, was that bench at 4:00 wet?

    June 30, 2019
    Reply
  27. Technomania said:

    Somebody hook me up with those beats please. The intensity is real

    June 30, 2019
    Reply
  28. Satyaprakash Pandey said:

    Great guidance..loved it..can you please make a video on step by step procedure to become data scientist and maximum time periods for each subject in data science?

    June 30, 2019
    Reply
  29. Gulaid Ahmed said:

    Great video, thanks for creating it!

    June 30, 2019
    Reply
  30. Bohdan Bohdan said:

    Thanks for advices.

    June 30, 2019
    Reply
  31. VeryLazyAngel said:

    You are absolutely right. The only way I was able to land my data scientist job with no experience is by showing off my ML and data analysis projects and be able to explain everything in them.

    June 30, 2019
    Reply
  32. SERDAROTmkd said:

    You are amazing man, keep up the good job 🙂

    June 30, 2019
    Reply
  33. deveash bharadwaj said:

    hit bell for efforts if u read this

    June 30, 2019
    Reply
  34. Mihhail Samusev said:

    Great tip about the blog. Do you think a github web page is good for that or you would recommend something else?

    June 30, 2019
    Reply
  35. Vincent Wahid Ajoubi said:

    Thank you so much for sharing your experience. That was amazing! 😀😀
    Your video editing was awesome as well!

    June 30, 2019
    Reply
  36. Sanket Arekar said:

    Python Programmer
    I Love Your Videos and They are very very Informative….:)

    June 30, 2019
    Reply
  37. abhishek singh Rawat said:

    Ring the bell🔔🔔🔔

    June 30, 2019
    Reply
  38. bharath bhimshetty said:

    Amazing advice… I just started to think in another way… thank you.

    June 30, 2019
    Reply
  39. Hitman Vijith said:

    You are great content creator…lot of effort went into every video…I really appreciate your work…thank you …

    June 30, 2019
    Reply

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