Every Data Scientist Should Read This Book

This is probably the most underrated data science book I've come across, "Think Like A Data Scientist".
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[@datanash8200]

If you want that recap template/newsletter you can get it freeee here : www.datanash.co.uk/

[@cyberbully8654]

"Statistics in a Nutshell" and "Practical Statistics for Data Science" are the 2 books that have made my career possible

[@datanash8200]

Love "Practical Statistics for Data Science" for sure, great fundamentals to build on

[@emmanuelhome9672]

Should a newbie read those two books

[@cyberbully8654]

@@emmanuelhome9672 I would say so, yes.

[@gladwellmwangi9559]

How do we get the book is it available in softcopy

[@spicesmiles]

Your recap template sounds like a great and helpful idea! Thank you!

[@datanash8200]

coming soon!

[@datanash8200]

Hey, the newsletter where I will be sending all my templates is now live if you're still interested - www.datanash.co.uk/

[@shujashakir9952]

Although I see myself as a data analyst only, I am tempted to invest in this book. What I loved was your take on its planning tips. Planning for data analytics can never succeed if it is purely theoretical. That's great observation. I am ordering it right now.

[@phaphamanibantwini9685]

Thanks for making this video as promised on your last video. Big ups mate.

[@datanash8200]

No worries bro 👊

[@suffolk.candles]

Good video man, big level up from your previous ones!

[@datanash8200]

Thank you, kind stranger

[@alvinajoanna]

Yes please :) Newsletter would be really helpful! Thank you ^^

[@datanash8200]

Coming soon 🙌

[@datanash8200]

Hey, if you're still interested its now live - www.datanash.co.uk/

[@Analyst_Emeka]

A need a newsletter on data scientist tools. Thanks, sir

[@elhipster1]

Amazing video I need this right now. I'm about to start a project for a small company.

[@datanash8200]

Best of luck! Let me know how it goes!

[@ahmetemin1721]

A newsletter type of template would be great, but since it might take too much time (considering the fact that talking is faster than writing) just choose whatever is more time-efficient for you 👍

[@ullyssessilverio5923]

Hey Nash! I've decided to give myself a chance and invest into learning what I need to become a software engineer. I've been thinking about learning Python since that's the language a lot of people suggest people to learn. My dream is to one day be able to work in another country, UK, US, w/e. Just wanna be able to get the hellouttahea (lol) and since I already know english, coding looks like my best option. If theres any of your videos that you would suggest for me I would appreciate it. Im completely lost, but I think I should be, since I dont know anything about it yet. If you or anyone reading this has any tips for me they're very appreciated!

[@datanash8200]

Hey man love to hear that, these should be good : Math - kzbin.info/www/bejne/fKvJqaFuip2Ug9k Coding - kzbin.info/www/bejne/epjcnWiDqbGIjJI How I would learn DS - kzbin.info/www/bejne/kGiccqR6pNqGY7s Everything in my degree : kzbin.info/www/bejne/aJPdgImnaqiImLs

[@CodeAriyo]

I hardly read books on data science. My best learnings have been from problem-solving my way to learn and reading other people's work. Great video.

[@datanash8200]

Very true, implementation rather than theorising is key. Wish I had learned that earlier for sure!

[@ikrammisbah4798]

give me ressources please

[@gamervishnu4684]

Thanks mam❤

[@MMM-yc7xu]

I think I must read the book, have you read "Designing Machine Learning Systems", I think that's an interesting book as well?

[@datanash8200]

I haven't yet but I've heard a lot of great reviews! I should pick it up

[@KeneCollins]

What's the name of the book?

[@bin4ry_d3struct0r]

I read this book right around the time when I started my (first) data science job and found it to be super dry. Perhaps I hadn't spent enough time in the industry to fully appreciate its value. I'll give it a second reading in a couple of years.

[@datanash8200]

I think it's definitely worth it for sure now! The analogies and examples were torture though

[@bin4ry_d3struct0r]

@@datanash8200 Yeah, despite how the author tried to make them universally applicable, I think you need to be a microbiologist to truly appreciate the examples.

[@emmanuelhome9672]

Should a newbie in data analysis read it ?

[@datanash8200]

Definitely applicable!

[@method341]

Math is overrated in data science. Figure out how to solve business problems instead. Literally no one cares how good you are at math once you enter the workforce.

[@datanash8200]

For sure, operating from a framework of business value addition/business problem solving is 🗝️

[@Luke-xp5pe]

just curious, what kind of math are you doing that you're making this statement

[@mazmaz1586]

Can I have a recap template. Ps you are in danger of making data science make sense to me

[@datanash8200]

Hey, the newletter where I will be sending all my templates is now live if you're still interested - www.datanash.co.uk/

[@Mr.Nichols]

I just downloaded the PDF. 😼

[@siphembonambi3361]

Do you know where I could get it?

[@femirex1589]

i like you,

[@thatshychristiangirl8057]

Do you think Data science >Data Analysis?

[@datanash8200]

As a Data Scientist I am very biased so I would say yes. However the two roles have so much overlap

[@elhipster1]

I wrote my own notes from this. I don't think sending those notes in a newsletter would be that useful, however, that is just me, you might find that others find it useful. Cheers and thank you.

[@mazmaz1586]

Yes please❤