How I use Python as a Data Analyst

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00:00 Intro
01:31 How to collect data
02:33 APIs
03:19 Getting the Goods
04:58 What is a Database?
07:32 Cleaning the Goods
08:56 EDA of the Goods
09:31 Salary Analysis
10:01 Keyword Analysis
11:55 App Build... for the Goods
13:14 I NEED YOUR HELP!!!

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#datanerd #dataanalyst #datascience

[jaymistry]

Two of my favourite things I learned from this video are
1) Importance of learning python
2) storytelling ( Presentation skill)
Thank you so much Luke!!

[sebastienlozano]

That was an incredibly interesting video. An end-to-end data science project fully deployed presented in terms of apples and oranges. Amazing teaching style and very useful app. Forking your repo.

[mocabeentrill]

Thank you Luke. I'm just starting out with data science! It's incredible how you showcased what Python can do and connected the dots along the way for beginners such as myself. You're awesome.

[zainsiddiqi]

This is an absolutely unreal video and project you undertook! The fact that you also gave all the code and the csv file along with it is so cool! I just graduated with a degree in Physics, and am starting a data science career, and videos like this are priceless. Your videos have helped me a lot so far and looking forward to more in the future! Keep rocking <3 p.s the throwing up emoji on the R bin in the bar chart got a good laugh out of me

[just_a_viewer]

What an incredible video and project concept! for the first time I've truly understood what all we can do by learning data analysis. I'm currently learning all of this and sometimes it feels dry and I feel like giving up, but you with your passion have motivated me to work harder! thank you!

[nataliechege]

Wow.. amazing video Luke! Watching your videos just boosts the passion I already have for Data Science. Thank you.

[JoeG]

really nice work. You clearly show the strength and power of python. I'm not surprised SQL is the top skill. many jobs are listed as data analyst but all the company is really looking for is someone to use SQL and get the data from different source systems and then use some kind of BI tool like tableau, power BI, SSRS etc.... to build a report. Python would be used more in a data science role which def have less people than a job requiring you to write sql code and build basic reports

[jhonyortiz]

This is such high quality content! Thank you for taking the time!!

[phpmvk]

That was freakin awesome, I know NOTHING about what you taught but had to watch all the way through to follow the story. GREAT job man!

[sidharthkashyap]

Love you luke! You are a Great Mentor for newbies in Data Science like me....Always Grateful to you.

[mateocortes]

This is so cool, I love nerding about automations like this! Python + SQL is always a nice combo

[kamronseeram]

This was honestly one of the best coding videos I've seen on YT. So much information shared in such little time. I was thinking about Data Analyst as a route to take from Systems Integrator (what I'm currently doing), and I'm doing a bit of what you shared here. Awesome job man!

[sifisompisana]

As someone who recently started learning about Data Analytics, I can say I'm (finally) starting to understand concepts from a broader perspective and listening to this video got me excited (even though I may not YET understand the granular detail. Well done Luke, this is AWESOME!

[getenetwegayhu]

Much appreciation for the lessons delivery mechanism - creative and fun!

[daniel]

Love the video! Thanks a lot for posting and for the job you've put in to create it. :)

[stopthink]

This is BRILLIANT!! Can't wait to dig into it. Thanks!!

[hn]

This was an amazing video - great editing and application to real-world data. Thank you!!

[Stormstormstorm]

Thanks a lot for this! Everything is so well explained, I really enjoyed seeing the entire process! 🥳🥳🥳

[rich.outofstep]

This is beautiful and keeps me motivated to stay on my journey to become a data analyst. Awesome video, tons of information and what a great project!❤🔥

[EdwardDowllar]

Your channel has some of the best produced content. I thoroughly enjoy watching each and every episode. The amount of detail and effort that you put into them really shows!