This channel is the best hidden gem on KZfaq!

Great camera techniques...♥️..like if u agree?

Great video, I love the cinematography that you are incorporating these days! Totally agree with the message. In my most recent video about how I got my first data science internship, I talk about the types of projects I did that set me up for success. I also think tying your projects to the specific industries or companies that you are applying to can set you apart from the crowd. Would love your thoughts on the matter!

It's like you read my mind. I literally made a github account and I started looking into making a blog yesterday. Thank you so much for bringing this content it is reaffirming to know that I am on the right path.

In strategic marketing there is a model RDB. Commonly it used as a brand benchmark, but I use it to sell myself. It simply consist of 3 questions: Resonance: Why do you need me? What can I do? Differentiation: Why I am better, then others? What unique skills do I have? It can be GIS analysis, biology or other stuff. In data science it calls as specialization. Believe: Why I can trust all you speak about yourself? Proof it! So, key message - job is not based on your experience( but not at all), but on your expertise and how valuable you are. Thanks for what you`re doing, Python Programmer. It really helpful (but I cant donate now, cause I am a poor bitch from the europenian asshole. But one day I`ll do.)

Couldn't like this enough. Amazing scenery. Great advice!!

please make video on how to build data analyst resume for " fresher "

Observing sings of a high intelligence, spread all over your contents, is joyful; thanks for leaving them!

It looks like you have conveniently placed cameras in every corner of your city 😂. BTW I love not only your video editing skills but also your valuable tips. Regards from Spain.

Your production quality is getting much better.

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!!

This advice is golden. Thank you!

Your channel deserves more attention ✌️ Thanks !

This little video game me a whole new perspective. Makes a lot of sense now. Thanks again! :)

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.

Very impressive!! I agree with all the suggestions provided and I will for sure start doing them!!

You are one of the best at what you do .. keep up the good work..

This is one of the best KZfaq channels I have come across :)

Sir. Your tutorial had guided me all the way through. Now here is another golden video. Thank you so much!

Good info! It gave me the direction I'm looking for while I study Data Science.

Wow, this guy is so talented. Excellent communication skills- he is so real- full of ideas. Here he is sharing them to us. Be blessed abundantly

I recently found out your channel! Best thing that could happen to me this quarantine. Your videos on online courses like dataquest and john hopkins course, and many videos like this have helped me immensely to get a different perspective on the data science field! Thanks a lot!

Great example for a quite a humble person

Love watching. Thanks for the blog tip, hadn't thought of that.

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.

Some valuable advise ! Yes, projects !

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

I like your videos, practical and quite interesting video shots of the nature too :). I used to do photography as a hobby, the example given really "talks" to me.

That's great advice. I had already thought of it, but didn't get around to it, because I wasn't sure it would work. I am starting right now. Thanks!

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

The substance is incredibly valuable. And I like the scenery changes but after watching a couple of videos the announcing of the change gets tedious. You can just jumpcut to new locations without describing what you're doing. We promise we won't be confused.

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

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?

At least with this quarantine I found amazing videos. Currently I am doing my masters in Statistics and now ready to study python as a new language and use it to play with data. Thank you.

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

Find it Collect it Use it

well said, thank you!

Great video but I just wanted to say the effort you put in making your videos is just amazing. Keep it up

Thanks, I needed to hear this! You should run around ringing a bell at the end of every video 😂 I'm joking of course...

YOU ARE FUNNY. I LOVE THAT. VALUABLES INFORMATIONS TOO. THANKS

I really liked this video! Great talk! I just finished my internship and really liked to play with data sets to answer questions by doing cool graphs and stuff using R. This video convinced me to run a project on my favorite subject: Mosses responses to light and more global plant responses to light under climate change! Time to start a blog and maybe film the project, the way it goes and stuff! I'm so exiting about it ahahah Do you have and website recommandation to write the blog?

Sir Could you please make a video explaining the resources you use to learn or enhance your programming skills

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.

I will say it again: I LOVE YOUR VIDEOS.

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

I like your content, good editing and straight forward advice, subscribed!

rang the bell and who are those guys disliking this video

I have totally no experience doing any data science projects. I thought doing coursework that is coequal to the ones that get data science jobs that I'd get in. The rationale as to why someone would hire someone with a portfolio sunk in because of this video. I might have to alter my personal curriculum by getting into github and joining some kaggle competitions even if I fail miserably.

Awesome introduction.

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

Cool straightforward and inspiring!

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

love your videos man . thanks a lot

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

Great video, thanks for creating it!

There is a great scene in "Entourage" where Turtle and Ari are discussing a new business that Turtle wants to start. After some back and forth, Turtle says to Ari, "I can pull this off Ari". Ari replies, "Come back when you can prove it". I love this line as it's a way to remind people that telling employers that you are good enough isn't enough any more. Too many applicants these days. PROVE you can do what you say you can do. Let me see your portfolio and let me see your thought process.

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?

Great data, Much appreciated 🙏 Thank You

Great video. All very valid words with great examples. Has made me think differently. Thank you so much, now off to apply it. 🏴󠁧󠁢󠁥󠁮󠁧󠁿👍

Great video, Python Programmer!

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

Great video Sir ❤❤❤

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

I’ve always hated it when people say ring the bell at end, but this I couldn’t contain a Laugh aaaand I rang the bloody bell 🔔

Nice background

Love this guy

Thanks for advices.

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

Thanks formthe weir! And an amazing, somewhat obvious(?) tip!

lol I had to ring the bell thanks man

You are amazing man, keep up the good job :)

Ring the bell.. ring the bell..😄 jus loved it 😍

lol... ring the bell... you are funny man.

very good and stunning video i really enjoy and collect useful information.thank you so much for providing useful information

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

With that bell...think the neighbours maybe heard it ;-)?!!

Hi jiles! I follow your videos, and I like it so much! But I have a question: I’m currently doing the python specialization on coursera, I’ve just completed the 3rd course on machine learning and now I’m facing the 4th on text mining. So I learned the python basis, pandas to clean data, Matplotlib to visualize data, and I’ve been introducted to machine learning. I have studied the basics of sql too, So, do you think that by the end of the specialization, I will be ready to try to apply for a job? Someone ask other competences concerned on spark and hadoop (I don’t understand what those software really do) and tableau or other tools for data visualization. Please clarify my ideas because I don’t know what should I learn! Thank you!!

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

here it seems everyone is entertaining this video of course it has to because the category of this channel is an Entertainment

very enlightening!

Amazing as ever 💖

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

I just landed a job at the Office for National Statistics, but im worried if im competent enough for the role- Analytical Researcher. The essentials for the role are little from the job description, - but considering the high pay, i feel like theyre expecting a lot from me. I have only 3 months experience as a research assistant outside of my academics (relevant work experience). Any advice?

Sir, thank you for great content

Nice locations and video

I love your content your videos. Everything

I love this

I'm still in the beginning phase. Will any project help? Like doing some basic analysis of datasets found online to solve basic questions? I'm obviously not at data science requirement but I was wondering if small projects like that can at least get some sort of data analyst position. What's your thoughts?

Great video! I know projects are important but I've really been struggling for ideas. Do you know of any good ones by beginners I can use for inspo? Or do you have a way of thinking that helps you come up with project ideas?

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.

Where are the coursera courses?

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

who do you wanna be mason? what do you wanna do ? I want to take pictures, make art.

hit bell for efforts if u read this

Where do I find good material to learn statistics.

We will never get a data science job because they will all go to Giles LOL!

Ring the bell🔔🔔🔔

👍👍

Cool video, but this 9 min could be fit in 1 minute. Quite annoying.

where do you live? it's beautiful