I’d say that most jobs requires some knowledge of linux as usually virtual machines on cloud providers use them. In terms of development I guess OSs don’t matter and that comes to your personal preferences. The environments that I’ve been working mostly use windows and independently I rely on linux and macOs.
After two years of using a 13" macbook pro for devops and data engineering, I still don't undersand why some people love it considering the small screen size and poor support for split screen. In fact I have decided to switch over to a windows machine as my main workstation for these reasons. The WSL2 feature in windows is a main reason for the change too.
No idea why anybody would work on a 13" ever. You have to get yourself at least 14", and if you don't use external screens OBVIOUSLY get the 16". You spend such a huge part of your life staring at those pixels, might as well make it comfortable to work with. I cried a little nerd tear when they removed the 17" macbook pro from their line up a decade ago.
I've got both Mac and Windows and from this experience I noticed the Windows also scores another point for the lack of subscriptions whereas Apple takes more of a SAAS approach on top of the high asking price for the machine.
Can you give an example? All apps I use on Mac are either free, or would cost money on both operation systems. I use mostly: vs code, Ms office, sometimes R, Tableau. Actually never faced a situation you described.
As a Mac user myself I ran into the problem of not be able to use Microsoft SQL server and Power Bi. Also Excel in my opinion is very limited on Mac. While I am not very fond of the Microsoft ecosystem these programs unfortunately makes your chance of a job as a Data Analyst significantly higher. So I had to switch to Windows. I have run some virtual machines but I hated the fact that is ran slower then my Mac Os. I was already looking into new PC's when I discovered that you actually can run windows on an external SSD drive. It does take some setup time to get it done, but now my Mac runs windows without any delay and I am so happy! I don't know why almost no one knows about this but it is really great and I highly recommend this option for Mac users who want to run windows.
I will study data anaysis this year and I dont know what to choose. Power BI is my problem too. Should I buy a PC so I have native Power Bi or you recommand to buy a macbook + windows on ssd ?
Trust me Ken, I've been losing sleep ever since going public with this admission of Windows dominance 😭😭 Loved your newest vid on WSL2 👉🏼 ua-cam.com/video/-zbLpoJVBMI/v-deo.html
yo i just want to say that I have watched you and a few others and just been building my skillset with the google certs and some projects I have done and I finally got my first two internships in data analytics! I really appreciate you making the informative content you do as it really does inspire me to keep it pushin even when shit seems super hard. TY Luke!
I just started a new DS position and was lucky enough to be given the new m1 Pro. It's just an absolute beast! as I work primarily on the cloud, I have to recommend a Mac. Don't get me wrong, I still have my Dell XP15 as backup in case I encounter any incompatibility but so far, I never had to use it. The whole DS team is now shifting to Macs.
I stumble upon problems with package management and find unix based OS better to access the terminal with commands that make sense. Also for beginners, I am not sure how important it is to start with PowerBI, Access and so on. It should be more important to understand concepts and even a jupyter project can get large with ease
Very great points about the unix based OS!! I like that I can jump between a linux and mac terminal with ease. Regarding Power BI and Access that is more niche to roles as data analysts, for others I agree that Jupyter would be a better concept to focus! Thanks for this!!
Yes! My XPS 13 has never let me down. I had doubts at first then realized I was running 32-but office 365. You’d be surprised how many problems that causes! I installed 64 bit and no more excel crashes.
Hey Luke, I just picked up an HP Pavillion 15eg running an i7 processor with 16g RAM, which was not one of your recommends, but was the most affordable option for me. But thanks for all your content . I've also been following your channel (and Alex the Analyst) since mid February as I'm looking to make a career switch from retail grocery clerking after 24 years.
Heck yeah!! Congrats on the new computer, that's a great choice and will be perfect for your needs. Awesome to hear of your transition into this field; keep up the hard work, Michael!
You are absolutely right. In my job my work has a split between Data Engineering and Data Analytics. For the Data Analytics part I prefer Windows over Mac because we use Power BI as reporting tool. But for my role as Data Engineer I prefer Mac (but Windows does a good job there as well).
You nailed it Luke comparing the number of users and why they use each platform. Why wouldn't Apple invest in developing an ecosystem for data analyst with home made applications?
Thats a great point Bouseux! I hope to raise more awareness about this as I feel the field of data analytics (and more notably data science) is growing so we need more native application support form Apple!
@@LukeBarousse goodness it would require so much investment on Apple's side like developing automator, the cloud services for sharing and also producing a visualisation tool that makes a real difference on the market. the arm chip has a special module for machine learning, it would be an asset in that case.
That's the point, after 10 years of using windows I started to find it annoying... I tried a Mac computer that a friend just bought and half a year later I bought my first Mac. Just starting my Ph.D. degree. At first, I found it annoying and use the laboratory computer to make the graphics, and a few data analyses... but now, fifteen-year later, I don't like to use windows(*), I don't have any problems with Linux. So If there is any software for one application, I don't buy it and move to another that runs on macOS, also I could use Python or R to study the data analyses. (*) All my Apple computers have a lifespan of 6 to 7 years and are sold to another person. No problem with drivers, no surprise actualizations, no necessary to clean all the hard disc to make a new reinstall to work as the first day... for me, an Apple machine is there here always to help on muy work of the day.
Thanks for sharing this perspective Juan. I can def, relate to your experience. ESPECIALLY that last point of having to call all the hard disks 🙋🏼♂️ def been there. This was awesome to hear how you have made a Mac work for your workflow!
I really love how you come to your conclusions; very rationally and based on practical cases. I currently use a Windows laptop with an i7, GTX 1660Ti GPU, and 16 GB of RAM. I've been learning Python for data science since the start of the year and my laptop has been more than enough. But I've been feeling pressure to buy a 14" Macbook pro with a 10-core M1 pro even though I know it's overkill, and I'll even run into some compatibility problems.
Loved the bit 😂. Great video! I totally agree with your recommendation. Even though I am a macOS user - if someone is just starting out and theyre going to personally purchase a box specifically for DS - windows will be the better bang for buck and will cover more use cases.
Hey Luke, for a data analyst, who mainly works with Power BI, would you recommend an upgrade from a Intel i9 Mabook Pro to a Mabook pro with M3 processor? I mean as of now I'm running Windows 10 64x @ Parallells, not sure if the performance of a ARM @ M3 would have a better performance or not.
I haven't watched the video yet but I assume the answer is "use whatever you are most comfortable with." It's been 20 years since there was any significant differences between the two - Macs are just as good for data and spreadsheets and Windows machines are just as good for video production and graphic arts, so it really just comes down to which environment you like better. The only time there is a real difference is if you need to use some specific software that is only made for one or the other and then you need to work around that.
I’ve been a Mac user since 2006, and learning data analytics has made me want to get a Windows computer. Finally looking this up, and I’m glad to see it’s not just me. Thanks for the video!
Great video. Luke, you seem to be able to put yourself in a beginner's shoes and give just right advice. I'm in my mid 30s and I've just started to study Data Science and AI at Uni of Liverpool (online). It feels overwhelming and like it is 'too late', but it's the best and most interesting fit for a hopefully better future where I can finally work from home. I am looking for a suitable laptop. It will be Windows based because I have already so many things to learn, I don't have time to do "work-arounds" on MacOS. I just wonder if I really need GPU? Those laptops ale expensive, gaming laptops = ugly&bulky&heavy&overheating. I probably will use a cloud-based GPUs. I am not sure how does it look in practice. I am not there yet.
So awesome to hear that this was able to help! And yes completely agree with you on your decision to go with Windows, I think you are making a great choice. As far as if you need a GPU it really depends on the curriculum at Liverpool on if they make you train locally on your computer. So i'm not sure. Personally, I would stick with your plan to train and use cloud-based GPUs. For one you won't have to worry about a big laptop and for two it will train you for your job where you'll be using remote machines.
I'm just going to jump in and say something unpopular... Excel, SAS and Power BI are analyst's tools. Data Science is much more math, and more advanced math. :) And depending on your workload, you might want to consider an Nvidia GPU for its CUDA cores if you're crunching something serious. At leas 32 gigs of RAM is highly recommended in those cases. Mac is an interesting beast here. Overpriced for most use-cases. BUT, if you're crunching MASSIVE ML models or similar, a highly spec'd M2 MAX with 64 or 96 GB of RAM becomes useful, as models might require more GPU memory, and 8 or even 12 GB of VRAM might be insufficient, and the runs would fail. GPUs with more RAM than that will cost more than a MacBook 16" with M2 Max and 64/96 GB of RAM. And M2 can put all the ram to use for GPU tasks. It is a weird use-case, but there it makes a lot of sense...
I don't see why your statement would be unpopular. You are correct for DA vs DS roles. Data analysts tools: Excel, SAAS, Power BI, and Tableau. Maybe some Power points for presentations. Data Scientist: Regression analysis, GCP Machine Learning, high end math, and Nvidia GPUs. M2 Max are good substitutes if a company uses AWS.
Maybe as a data analyst windows is better, but for data science and engineering, linux and Mac are way better due to ease of installing things with apt and home brew. And the fact that working on the terminal helps you working in the cloud as well!
Great video - only thing missing was a hint that when running Parallels and Win on it (my current setup is Mac Mini M2pro with 16GB and it runs smoothly even with Win 11 ;-)) is that hassle with shortcuts (especially in Excel) as you cannot map everything as Win so it feels (at least for me using mostly XLS) like workaround all the time (or running all with mouse) ...
Same problem with serious CAD/CAM/CAE solution, CFD dynamics and FEM simulations, AI libs compatibility (all is CUDA), photogrammetry etc. PCs (with nvidia GPUs) is the way to go. Apple is mostly "lifestyle" and video/photo/audio editing.
You said 16 GB maybe for VM work. I think you had another video for PowerBI in Parallels that seemed to say 8 was ok. Has that changed since then? The 8GB M1 Mac Mini is a lot easier to find on sale.
I've just had more experience with parallels since that other video. I still standby that 8gb is okay... but I think there are going to be performance issues. I highly recommend the 16gb if you're going to do VM work
This is good to know! I had no idea it was pronounced this way, i'll work on that.... For ever I was calling Django "Duh-jango"... vice just "Jango" 🤦🏼♂️ More Data engineering content to come!!
Fyi for those who didn't know, you can text from your windows machine as well as use apps, view photos etc etc through the "phone link" app which comes with your pc
What libraries and for what language!?! I just installed python from scratch on another mac and have had zero issues with library support using anaconda.
Hey Luke, while you were suggesting windows laptops you mostly listed Intel based. What's your view between buying an Intel based laptop vs AMD based laptop.
TBH I don't really have a preference on Intel vs AMD for data analytics/science. I just have more experience using Intel processors so that's why I talked more about them. From what I've researched I think AMD is fine as well
Thanks for a very interesting video. That's good news about using PowerBi with parallels on Mac. I would just add that the poll about users can be biased because most DA users are "computer nerds" so they might be more inclined to use PC software where they don't mind "fiddling" with software?
I am struggling with this question too😓 Im planning to get something in September, and I am about to get a 14" MBP w/ M1 Pro. Yes, I know it cost a fortune, but Im planning for years. However I am afraid to compromise here and there that really don't want for £2000+
Can you reply to this question please? I'm looking to buy an apple product for data science so do I go for iMac 2021 or 2019 ? Or do I buy the MacBook air
Sup, Luke? I'm new to your channel: I started the Google Analytics certificate on Coursera 2 weeks ago and I watched a few of your videos before taking the final decision. I thought you were only a Data Analyst. R u now a full-time Data Scientist? Just curious. 😅
😂 Not a data scientist at all. I try to stay up to date with all the different technologies that those in data science use... but I think my calling is for data analysis.
I switched from Mac to PC wanted NVidia GPU for ML work. WSL running Linux and VSCode is fantastic. Also PC notebooks are way more upgradable, more memory more storage as needed.
Linux users can just buy the lower cost machines while using the same tools as in Windows and also use the UNIX based tools natively, that Apple just borrows.
Yes, but that also means buying more storage space for this purpose. Someone with an M2 Air can get the job done with 512GB of SSD, but would need additional storage (256GB of SSD) for the partition. Apple sells them in 512GB to 1TB. No in-between. A better solution is Excel in the browser. No need to worry about weird parallels or partition data.
Here is what I think about it. If you have Mac then you have good steady job that brings you good income to afford premium product. In other hand if you are just starting maybe you have Windows or Linux machine that just get the work done at half the cost of Apple's ecosystem.
Exact info that i need it! thanks!! one quesiton: if i have another win desktop, would it be better to remote to do data work there as oppose to use Parallel
really depends on PC size (I.e. RAM) and latency. I've never tested it so unless the windows desktop has a lot of RAM compared to your mac I don't know if it'll be worth it
I’m glad I made the right choice was tempted to ether get a m1/m3 MacBook Air or asus g14 7940hs/rtx 4060. I ended up getting the g14 great laptop (999.99) upgraded ssd to 2tb and ram is 32gb. and if I need a Mac I have an old 2012 mb also my wife has a m3 if needing a arm Mac.
I went to your website, and that's where I figured out what kind of laptop I wanted. Got a great Black Friday deal on it. Screen is rather small, but I needed a new one. Haven't had a new laptop for myself since 2013. LOL.
I love my iPhone, iPad and Airpods, but... I've always found my Mac more difficult to use than Windows for work. I would recommend staying away from cheap PC laptops. I've owned a Dell Latitude, Dell XPS, and multiple ThinkPads, they cost about as much as a Macbook RRP but have all been very solid and reliable machines. Used, refurbished and clearance there are massive deals to be had.
I’m not a data scientist, but I am a backend engineer who uses Mac. Can you not dual boot windows onto the Mac? If so, is it any different once you’ve done so? I don’t use any software that is OS specific so I’m curious.
Great question. Not on the new M1 macs you can't (due to licensing issues for Windows for ARM). I detail it more in this video: ua-cam.com/video/W6N8n99htvw/v-deo.html
@@LukeBarousse Oh interesting! I still have the intel 2019 16" Macbook Pro as my work laptop, so I figured it was the same. That's really unfortunate with the M1s.
Beginners will be using Excel and other windows apps. All my devs and data nerds use Linux, it’s significantly faster in R for example. Parallel programming is much easier on Linux vs windows too.
The 2 biggest factors for Windows dominance: Corporate culture and software suport, and the corporate culture ensures that dev companies aways prioritize windows, so its a loop. And from the tools you used as an example, I'd say the only reason you'd use them is corporate culture. SQL Server isn't a big deal, so is power bi, but you can't choose if the company you work for decides for you. I'm not a data analyst though, so maybe I'm wrong.
Actually Jonny, you are absolutely correct! So very true that these windows products are demanded for in corporate cultures and thus it's a never ending loop. Enjoyed reading this! 🙌🏼
Hey Luke, thanks for your videos they’re awesome, just wanted to ask you if you know a way you could recommend or do a video on how set up MSSQL Server working in M1 MacBooks
Let me see what I can do on this. But overall my recommendation would be to install docker and use this to host MSSQL server. I may look into doing more tutorials in the future.
I am currently working in the institute as a researcher and I am planning to switch my career to data scientist. I am an astrophysicist and I am working with big data all the time, in all my career I was always using linux, I am using mostly python pandas for big data or sql sometimes but since I started to watch and read about data analyse for industry I am surprised that people are using windows for data science/analyse related work.
Some problems are that you polled your audience which may be skewed toward mac. Additionally, you used the general world statistics for your control group. If you audience is predominantly from USA, then the control market share for macos is higher.
Would you recommend the same specs today? Would these suffice - 8 core CPU, 10 core GPU, 16gb unified memory, 512gb storage? Or would 24gb unified memory be better? Hoping to hear from you. Thank you!
Have never used Mac, I am going for Masters in Data analytics engineering in the USA, can you suggest how to decide between windows and Mac! Idk how easy the shift from windows will be??
I just don't want to go back to windows again. I have been using my Mac machine from a year and there was not a single instance where I have to shut down or restart my pc because it froze in the middle of nowhere.
I've been working for 7 years with a macbook air core i5. I recently bought the macbook pro 14 inch with the M1 pro. I really hope not getting desapointed
Did you normalized your poll by the total number of users in each OS? Cause there is plenty more Windows users then macOS users so it’s logical to assume that more people will choose windows in your poll.
@@LukeBarousse i see, so even though it’s probably still same insight it maybe biased by that fact (cause there are more windows users then Mac users in the world)
Sr Sorry. Im looking to get into this world. And im between a Dell XPS 15 or a Mc Air M2. if a install parallels, it will solve any issues to certain things? Or you recomend me as a newbe a Dell?
It really depends. I like to work in the apple ecosystem and infrequently use Windows, so I feel Mac is a better option for me... but for someone that doesn't value the apple ecosystem, or more importnatly works heavily in Windows, they should probably consider a Windows machine.
@@LukeBarousse I have been granted a scholarship for translation technologies MA . I have Python and NLP classes. I feel the cloud computing and parallels will cover my back but I'm not sure... Btw, I am quite invested in the ecosystem; phone, computer, tablet, watch and the headphones...
Hey luke, i'm planning to study big data science this year but im confused between the macbook air m2 or asus zenbook intel 12gen, both with 16GB of ram and same kind of storage. my biggest concern is the support for the softwares and processor compatibily for machine learning. what would you recommend ?
For data science I think the m2 should be fine.. but if you're going to go into data analytics, my recommendation still is with the asus, as I discussed the reasons in this video
@@LukeBarousse thank you, btw i will be learning maths & stats, data mining, ML, data analytics and visualisation while using softwares like R, hadoop, python(anaconda, jupyter), mongo db, neo 4j, would m2 serves the purpose ?
Hi!.You said the IdeaPad has a pretty high ram with 8GB but isn't that actually quite low. I think 16 GB should be the minimum for uses like data science these days.
I was saying that it has a pretty high amount of ram for the price. Sorry for the confusion. For most normal tasks I think 8 GB's should be enough but would recommend 16gb if possible
Hello Luke, 1. What is the ideal choice between NVIDIA GeForce vs Quadro for data analysis and data science. 2. Is a laptop with full keyboard (with numeric keypad) better? These are usually 15"+ I am stuck between getting the Dell xps 13 or Dell Precision 7510
1. I prefer NVIDIA due to the ability to use CUDA processing (but that's only a benefit ML) 2. And that's personal preference for the numeric keyboard. I've been working on a short keyboard (without numberic keypad) the past number of years.
The main issue I have with PCs is they don’t last…a MacBook will last you 10 years but a pc maybe 2-3 maybe…at least the laptops…I need it for Power bi and honestly I don’t like adding windows to the Mac.
2:52 as a Data Scientist, you can not do such polls without providing additional information. Therefore, your poll results are biased and unrepresentative. Why? Because on average Macs are more popular among users in several regions: USA, Europe. Windows is most likely to be used in Eastern Europe, India and so on.
Hi Luke! I am currently using PowerBI on parallel and I have problems connecting to the localhost mysql server in my MacOS. May I ask how did you get to solve that?
Data Nerds! 💻👨🏼💻🖥 I'm curious if you have data science jobs that DO or DON'T RELY on a particular OPERATING SYTEM❓
I'm curious how many people who are not self employed actually have a choice!
Geomatics or geographic information sience.
Lunux user since 1998.
Grass Gis+ potgis+R+Geoda.
I’d say that most jobs requires some knowledge of linux as usually virtual machines on cloud providers use them. In terms of development I guess OSs don’t matter and that comes to your personal preferences.
The environments that I’ve been working mostly use windows and independently I rely on linux and macOs.
@@analisamelojete1966 Thanks for sharing this Ana Lisa!
After two years of using a 13" macbook pro for devops and data engineering, I still don't undersand why some people love it considering the small screen size and poor support for split screen. In fact I have decided to switch over to a windows machine as my main workstation for these reasons. The WSL2 feature in windows is a main reason for the change too.
Understand your complaints! Mac isn’t for everybody. But that WSL2 is such a great option, so I agree with that!
No idea why anybody would work on a 13" ever. You have to get yourself at least 14", and if you don't use external screens OBVIOUSLY get the 16". You spend such a huge part of your life staring at those pixels, might as well make it comfortable to work with.
I cried a little nerd tear when they removed the 17" macbook pro from their line up a decade ago.
Why are you using a 13" screen for daily work? That is your first problem. Bet you have to deal with constant problems on a PC also.
You bought the worse MacBook Pro ever thats why, its like window XE and ask why they are shit lol.
In term on excel heavy load. Do you think mac m1/m2 is better than high end windows laptop?
I've got both Mac and Windows and from this experience I noticed the Windows also scores another point for the lack of subscriptions whereas Apple takes more of a SAAS approach on top of the high asking price for the machine.
Very much agree with this Iraj, thanks for sharing this!!
What do you mean? How do you score a point by lacking something?
@@loc7s He means it's cheaper for you to use specific software on Windows because you not expected to pay a subscription
@@loc7s Lacking additional expenses is a good thing, thus the point c",)
Can you give an example? All apps I use on Mac are either free, or would cost money on both operation systems. I use mostly: vs code, Ms office, sometimes R, Tableau. Actually never faced a situation you described.
As a Mac user myself I ran into the problem of not be able to use Microsoft SQL server and Power Bi. Also Excel in my opinion is very limited on Mac. While I am not very fond of the Microsoft ecosystem these programs unfortunately makes your chance of a job as a Data Analyst significantly higher. So I had to switch to Windows.
I have run some virtual machines but I hated the fact that is ran slower then my Mac Os.
I was already looking into new PC's when I discovered that you actually can run windows on an external SSD drive. It does take some setup time to get it done, but now my Mac runs windows without any delay and I am so happy! I don't know why almost no one knows about this but it is really great and I highly recommend this option for Mac users who want to run windows.
I will study data anaysis this year and I dont know what to choose. Power BI is my problem too. Should I buy a PC so I have native Power Bi or you recommand to buy a macbook + windows on ssd ?
@@maars75what did u buy then??
I don't think it really matters, both is fine. Just make sure your system has 16 GB RAM. It doesn't really run well on 8 GB RAM systems.
Is running windows on macbook not giving u high thermal and battery drainage?
Astounded that you would make this admission Luke 😮. I use the z book studio with widows, but I use wsl 2 so I can have linux on it too.
Trust me Ken, I've been losing sleep ever since going public with this admission of Windows dominance 😭😭
Loved your newest vid on WSL2 👉🏼 ua-cam.com/video/-zbLpoJVBMI/v-deo.html
Buying a MAC M1 AIR was really a great deal, for the fact that you still recommend it.
Heck yeah, such a good deal!
yo i just want to say that I have watched you and a few others and just been building my skillset with the google certs and some projects I have done and I finally got my first two internships in data analytics! I really appreciate you making the informative content you do as it really does inspire me to keep it pushin even when shit seems super hard. TY Luke!
My dude, this is so inspiring to hear! Thanks so much for sharing this and congratulations on getting the two internships!! Heck yeah!!
I just started a new DS position and was lucky enough to be given the new m1 Pro. It's just an absolute beast! as I work primarily on the cloud, I have to recommend a Mac.
Don't get me wrong, I still have my Dell XP15 as backup in case I encounter any incompatibility but so far, I never had to use it. The whole DS team is now shifting to Macs.
This is awesome to hear, I'm in the same boat and am loving my new mac as well. This thing is a beast!
Would you point out the advantages that using Mac for data analysis?
I'm a marketing analyst and use a Lenovo ThinkPad with an additional monitor. I love ThinkPads.
I stumble upon problems with package management and find unix based OS better to access the terminal with commands that make sense. Also for beginners, I am not sure how important it is to start with PowerBI, Access and so on. It should be more important to understand concepts and even a jupyter project can get large with ease
Very great points about the unix based OS!! I like that I can jump between a linux and mac terminal with ease.
Regarding Power BI and Access that is more niche to roles as data analysts, for others I agree that Jupyter would be a better concept to focus! Thanks for this!!
Yes! My XPS 13 has never let me down. I had doubts at first then realized I was running 32-but office 365. You’d be surprised how many problems that causes! I installed 64 bit and no more excel crashes.
Hey Luke, I just picked up an HP Pavillion 15eg running an i7 processor with 16g RAM, which was not one of your recommends, but was the most affordable option for me. But thanks for all your content
. I've also been following your channel (and Alex the Analyst) since mid February as I'm looking to make a career switch from retail grocery clerking after 24 years.
Heck yeah!! Congrats on the new computer, that's a great choice and will be perfect for your needs. Awesome to hear of your transition into this field; keep up the hard work, Michael!
You are absolutely right. In my job my work has a split between Data Engineering and Data Analytics. For the Data Analytics part I prefer Windows over Mac because we use Power BI as reporting tool. But for my role as Data Engineer I prefer Mac (but Windows does a good job there as well).
This is awesome to hear that someone can relate with my pains! Thanks for sharing this Jan!!
I wanted to use both at the same time, so I got my company to get me a Parallel Desktop license so I could run Power BI on my Macbook Pro 😁
which mac model do you have?
@@Ireitsarof currently MacBook Pro M2 Pro Base (Company Laptop)
@@jaydee700x How's your experience been working in Parallels?
Nice video! I’m glad that you included “the prior” information to update your poll votes! Bayesian is the key!
Thank you!! Bayesian is king!! 🤴🏻
You nailed it Luke comparing the number of users and why they use each platform. Why wouldn't Apple invest in developing an ecosystem for data analyst with home made applications?
Thats a great point Bouseux! I hope to raise more awareness about this as I feel the field of data analytics (and more notably data science) is growing so we need more native application support form Apple!
@@LukeBarousse goodness it would require so much investment on Apple's side like developing automator, the cloud services for sharing and also producing a visualisation tool that makes a real difference on the market. the arm chip has a special module for machine learning, it would be an asset in that case.
That's the point, after 10 years of using windows I started to find it annoying... I tried a Mac computer that a friend just bought and half a year later I bought my first Mac. Just starting my Ph.D. degree. At first, I found it annoying and use the laboratory computer to make the graphics, and a few data analyses... but now, fifteen-year later, I don't like to use windows(*), I don't have any problems with Linux. So If there is any software for one application, I don't buy it and move to another that runs on macOS, also I could use Python or R to study the data analyses.
(*) All my Apple computers have a lifespan of 6 to 7 years and are sold to another person. No problem with drivers, no surprise actualizations, no necessary to clean all the hard disc to make a new reinstall to work as the first day... for me, an Apple machine is there here always to help on muy work of the day.
Thanks for sharing this perspective Juan. I can def, relate to your experience. ESPECIALLY that last point of having to call all the hard disks 🙋🏼♂️ def been there.
This was awesome to hear how you have made a Mac work for your workflow!
I really love how you come to your conclusions; very rationally and based on practical cases. I currently use a Windows laptop with an i7, GTX 1660Ti GPU, and 16 GB of RAM. I've been learning Python for data science since the start of the year and my laptop has been more than enough. But I've been feeling pressure to buy a 14" Macbook pro with a 10-core M1 pro even though I know it's overkill, and I'll even run into some compatibility problems.
Please let me know how it is going if you have buy M1 for data analysis? I’m struggling to buy pc or mac too!
@@casawabicat9475 what did you choose. Was it a good choice?
Nvidia gpus not supported by Apple MacBooks
Loved the bit 😂. Great video! I totally agree with your recommendation. Even though I am a macOS user - if someone is just starting out and theyre going to personally purchase a box specifically for DS - windows will be the better bang for buck and will cover more use cases.
Boom! Agree completely 🙌🏼 Glad you enjoyed the sketch at the beginning 🤣
Hey Luke, for a data analyst, who mainly works with Power BI, would you recommend an upgrade from a Intel i9 Mabook Pro to a Mabook pro with M3 processor? I mean as of now I'm running Windows 10 64x @ Parallells, not sure if the performance of a ARM @ M3 would have a better performance or not.
I haven't watched the video yet but I assume the answer is "use whatever you are most comfortable with." It's been 20 years since there was any significant differences between the two - Macs are just as good for data and spreadsheets and Windows machines are just as good for video production and graphic arts, so it really just comes down to which environment you like better. The only time there is a real difference is if you need to use some specific software that is only made for one or the other and then you need to work around that.
Very well summed up!! 🙌🏼
I have been using a 10 year old MacBook air and surprisingly it hasn't been an issue. 4GB ram and 256GB SSD
I’ve been a Mac user since 2006, and learning data analytics has made me want to get a Windows computer. Finally looking this up, and I’m glad to see it’s not just me. Thanks for the video!
Glad this video helped with that!! Macs have their pains when it comes to data analytics
Great video. Luke, you seem to be able to put yourself in a beginner's shoes and give just right advice. I'm in my mid 30s and I've just started to study Data Science and AI at Uni of Liverpool (online). It feels overwhelming and like it is 'too late', but it's the best and most interesting fit for a hopefully better future where I can finally work from home. I am looking for a suitable laptop. It will be Windows based because I have already so many things to learn, I don't have time to do "work-arounds" on MacOS. I just wonder if I really need GPU? Those laptops ale expensive, gaming laptops = ugly&bulky&heavy&overheating. I probably will use a cloud-based GPUs. I
am not sure how does it look in practice. I am not there yet.
So awesome to hear that this was able to help! And yes completely agree with you on your decision to go with Windows, I think you are making a great choice. As far as if you need a GPU it really depends on the curriculum at Liverpool on if they make you train locally on your computer. So i'm not sure. Personally, I would stick with your plan to train and use cloud-based GPUs. For one you won't have to worry about a big laptop and for two it will train you for your job where you'll be using remote machines.
check out acer swift x. it has pretty decent rtx gpu. should fit you basic needs
Gaming laptops overheating compared to macbooks? Ok
@@romanbogachev6147 yeah what’s the issue ??
We are talking about the new MacBooks of course not the Intel based one
@@romanbogachev6147 Not quite ok. I made no comparisons.
just what I was looking for... thank you. Love your videos.
I'm just going to jump in and say something unpopular... Excel, SAS and Power BI are analyst's tools. Data Science is much more math, and more advanced math. :) And depending on your workload, you might want to consider an Nvidia GPU for its CUDA cores if you're crunching something serious. At leas 32 gigs of RAM is highly recommended in those cases. Mac is an interesting beast here. Overpriced for most use-cases. BUT, if you're crunching MASSIVE ML models or similar, a highly spec'd M2 MAX with 64 or 96 GB of RAM becomes useful, as models might require more GPU memory, and 8 or even 12 GB of VRAM might be insufficient, and the runs would fail. GPUs with more RAM than that will cost more than a MacBook 16" with M2 Max and 64/96 GB of RAM. And M2 can put all the ram to use for GPU tasks. It is a weird use-case, but there it makes a lot of sense...
I don't see why your statement would be unpopular. You are correct for DA vs DS roles.
Data analysts tools: Excel, SAAS, Power BI, and Tableau. Maybe some Power points for presentations.
Data Scientist: Regression analysis, GCP Machine Learning, high end math, and Nvidia GPUs. M2 Max are good substitutes if a company uses AWS.
Maybe as a data analyst windows is better, but for data science and engineering, linux and Mac are way better due to ease of installing things with apt and home brew. And the fact that working on the terminal helps you working in the cloud as well!
Thanks for this perspective Mario! Very much agree with this, that's why I love my Mac!
Great video - only thing missing was a hint that when running Parallels and Win on it (my current setup is Mac Mini M2pro with 16GB and it runs smoothly even with Win 11 ;-)) is that hassle with shortcuts (especially in Excel) as you cannot map everything as Win so it feels (at least for me using mostly XLS) like workaround all the time (or running all with mouse) ...
Good add! Yeah i'm having similiar issues with my shortcuts I use to jump up and down an excel spreadsheet so I feel your pain
Same problem with serious CAD/CAM/CAE solution, CFD dynamics and FEM simulations, AI libs compatibility (all is CUDA), photogrammetry etc. PCs (with nvidia GPUs) is the way to go. Apple is mostly "lifestyle" and video/photo/audio editing.
interesting to hear on the CAD/CAM/CAE perspective! Thanks for sharing this!
You said 16 GB maybe for VM work. I think you had another video for PowerBI in Parallels that seemed to say 8 was ok. Has that changed since then? The 8GB M1 Mac Mini is a lot easier to find on sale.
I've just had more experience with parallels since that other video. I still standby that 8gb is okay... but I think there are going to be performance issues. I highly recommend the 16gb if you're going to do VM work
The choice of operating system is largely dependent upon the software you have to use to perform your data job.
Very much agree with this Gregory!! 🙌🏼
Thanks for the video Luke, very informative.
I know it's not very intuitive but Cuda is pronounced "Koo-duh".
Also, I love your skits. I'm looking forward to seeing more of Data Engineer!
This is good to know! I had no idea it was pronounced this way, i'll work on that.... For ever I was calling Django "Duh-jango"... vice just "Jango" 🤦🏼♂️
More Data engineering content to come!!
Fyi for those who didn't know, you can text from your windows machine as well as use apps, view photos etc etc through the "phone link" app which comes with your pc
that intro was hilarious! I feel like the I'm the PC guy at my work
🤣 I think we've all been the PC guy at one point! 😂
I just started a new job and they got me an M1 Macbook, it's been an absolute NIGHTMARE to set up the basic libraries
What libraries and for what language!?! I just installed python from scratch on another mac and have had zero issues with library support using anaconda.
HAHA love this I was smiling the whole time. The little details (IE the photos of Ken and Tina on the desk) are everything 😂
Aww thank you!! 🤗 I'm just over here trying to keep up with your data nerd humor!
Finally I got a video I was looking for. Thanx man.
Heck yeah! Thank you!
This video is very helpful, thanks!
Hey Luke, while you were suggesting windows laptops you mostly listed Intel based. What's your view between buying an Intel based laptop vs AMD based laptop.
TBH I don't really have a preference on Intel vs AMD for data analytics/science. I just have more experience using Intel processors so that's why I talked more about them. From what I've researched I think AMD is fine as well
…Like button smashed. Great video!
Ha! Thanks for smashing it my dude!!
Hey, Thanks for the video Luke. I am just starting out to learn data analytics and was thinking of maybe getting a MacBook but this video helped.
Glad that this was able to help with your decision! 🙌🏼
Thanks for a very interesting video. That's good news about using PowerBi with parallels on Mac. I would just add that the poll about users can be biased because most DA users are "computer nerds" so they might be more inclined to use PC software where they don't mind "fiddling" with software?
I am struggling with this question too😓 Im planning to get something in September, and I am about to get a 14" MBP w/ M1 Pro. Yes, I know it cost a fortune, but Im planning for years. However I am afraid to compromise here and there that really don't want for £2000+
I can say I don’t regret having a Mac! I love it
Can you reply to this question please?
I'm looking to buy an apple product for data science so do I go for iMac 2021 or 2019 ?
Or do I buy the MacBook air
Sup, Luke? I'm new to your channel: I started the Google Analytics certificate on Coursera 2 weeks ago and I watched a few of your videos before taking the final decision. I thought you were only a Data Analyst. R u now a full-time Data Scientist? Just curious. 😅
😂 Not a data scientist at all. I try to stay up to date with all the different technologies that those in data science use... but I think my calling is for data analysis.
@@LukeBarousse Got it! 👌🏼
Nice content you make here, bro! Keep it up! ☝🏼
I switched from Mac to PC wanted NVidia GPU for ML work. WSL running Linux and VSCode is fantastic. Also PC notebooks are way more upgradable, more memory more storage as needed.
How about a mini pc? Is it a good choice for data science?
I like this screenplay! What are you doing with so many pens?
😂😂😂 never know when you’ll need one!
I appreciate your goofy skits at the start 😂. Thanks for the timely topic!
😂 Thanks Devon. I figured people were gonna roast me for this video so I wanted to start out with just roasting myself 😂
@@LukeBarousse 😂that’s, great - I like your strategy, haha
Another banger of a video!!!!!! yes!
ua-cam.com/video/U4vh2EClJic/v-deo.html 😜
@@LukeBarousse Woah! I got a personalized response!!!!!!!
Linux users can just buy the lower cost machines while using the same tools as in Windows and also use the UNIX based tools natively, that Apple just borrows.
All too true! 😂
Thank you! That's very useful 🤓
Glad it helped Roman!! 🤓
Couldn't you just partition your Mac with a windows OS as a work around?
Yes, but that also means buying more storage space for this purpose. Someone with an M2 Air can get the job done with 512GB of SSD, but would need additional storage (256GB of SSD) for the partition. Apple sells them in 512GB to 1TB. No in-between.
A better solution is Excel in the browser. No need to worry about weird parallels or partition data.
Here is what I think about it. If you have Mac then you have good steady job that brings you good income to afford premium product. In other hand if you are just starting maybe you have Windows or Linux machine that just get the work done at half the cost of Apple's ecosystem.
I like this recommendation 🙌🏼 Thanks for sharing this!
Exact info that i need it! thanks!! one quesiton: if i have another win desktop, would it be better to remote to do data work there as oppose to use Parallel
really depends on PC size (I.e. RAM) and latency. I've never tested it so unless the windows desktop has a lot of RAM compared to your mac I don't know if it'll be worth it
I’m glad I made the right choice was tempted to ether get a m1/m3 MacBook Air or asus g14 7940hs/rtx 4060. I ended up getting the g14 great laptop (999.99) upgraded ssd to 2tb and ram is 32gb. and if I need a Mac I have an old 2012 mb also my wife has a m3 if needing a arm Mac.
I went to your website, and that's where I figured out what kind of laptop I wanted. Got a great Black Friday deal on it. Screen is rather small, but I needed a new one. Haven't had a new laptop for myself since 2013. LOL.
Heck yeah, so glad to hear that this was able to help!
I love my iPhone, iPad and Airpods, but... I've always found my Mac more difficult to use than Windows for work. I would recommend staying away from cheap PC laptops. I've owned a Dell Latitude, Dell XPS, and multiple ThinkPads, they cost about as much as a Macbook RRP but have all been very solid and reliable machines. Used, refurbished and clearance there are massive deals to be had.
I’m not a data scientist, but I am a backend engineer who uses Mac. Can you not dual boot windows onto the Mac? If so, is it any different once you’ve done so? I don’t use any software that is OS specific so I’m curious.
Great question. Not on the new M1 macs you can't (due to licensing issues for Windows for ARM). I detail it more in this video: ua-cam.com/video/W6N8n99htvw/v-deo.html
@@LukeBarousse Oh interesting! I still have the intel 2019 16" Macbook Pro as my work laptop, so I figured it was the same. That's really unfortunate with the M1s.
Dude the skits always make me lmao. Thanks for doing your thing and please keep it up!
Aww thanks Nicky, glad you are enjoying the skits... more content like this (hopefully) to come!
Beginners will be using Excel and other windows apps. All my devs and data nerds use Linux, it’s significantly faster in R for example. Parallel programming is much easier on Linux vs windows too.
Android can send and receive txt messages on pc
This data nerds needs to get with the times then!!! 🙌🏼
The 2 biggest factors for Windows dominance: Corporate culture and software suport, and the corporate culture ensures that dev companies aways prioritize windows, so its a loop. And from the tools you used as an example, I'd say the only reason you'd use them is corporate culture. SQL Server isn't a big deal, so is power bi, but you can't choose if the company you work for decides for you. I'm not a data analyst though, so maybe I'm wrong.
Actually Jonny, you are absolutely correct! So very true that these windows products are demanded for in corporate cultures and thus it's a never ending loop. Enjoyed reading this! 🙌🏼
Saw this informative video, just when Apple mailed with M2 mini details.
Ty.
Thank you ❤
Very funny and insightful as always! 💯
😜 Thanks Rick!!
Kde connect and you have text messages and mail in your desktop.
File sharing? Warpinator. And thats all.
This is good to know!
Hey Luke, thanks for your videos they’re awesome, just wanted to ask you if you know a way you could recommend or do a video on how set up MSSQL Server working in M1 MacBooks
Let me see what I can do on this. But overall my recommendation would be to install docker and use this to host MSSQL server. I may look into doing more tutorials in the future.
I am currently working in the institute as a researcher and I am planning to switch my career to data scientist. I am an astrophysicist and I am working with big data all the time, in all my career I was always using linux, I am using mostly python pandas for big data or sql sometimes but since I started to watch and read about data analyse for industry I am surprised that people are using windows for data science/analyse related work.
That’s means you are using Mac for your research?
Some problems are that you polled your audience which may be skewed toward mac. Additionally, you used the general world statistics for your control group. If you audience is predominantly from USA, then the control market share for macos is higher.
Audience is predominantly from India
@@LukeBarousse Oh very cool! This information definitely helps put the poll into context. Thanks!
@@TheBlackMage3 No probs! Thanks for tuning in! 🙌🏼
Would you recommend the same specs today? Would these suffice - 8 core CPU, 10 core GPU, 16gb unified memory, 512gb storage? Or would 24gb unified memory be better? Hoping to hear from you. Thank you!
I still feel 16 gb is good enough
Thank you for the spoiler!!
What is your opinion on the high demand for SQL Server skills and the recommended use of a Windows laptop to run it, given its limitations on macOS?
Have never used Mac, I am going for Masters in Data analytics engineering in the USA, can you suggest how to decide between windows and Mac! Idk how easy the shift from windows will be??
Software availability is better on Windows as compared to MacOS, but what about Windows and Linux?
I love my crispy white Lenovo IdeaPad even more now. 😁
Which one should i prefer luke as I'm a beginner in the Data Analyst field and starting my Google Data Analytics Cert
Go with windows as a safe option
But I've bought a MacBook M2 and how to go about it yaar luke
I've always loved this series. that kenjee photos tho. 😂
🤣 I hope Ken doesn't get annoyed of it... 🤣 and thanks Daryl!
I just don't want to go back to windows again. I have been using my Mac machine from a year and there was not a single instance where I have to shut down or restart my pc because it froze in the middle of nowhere.
I've been working for 7 years with a macbook air core i5. I recently bought the macbook pro 14 inch with the M1 pro. I really hope not getting desapointed
I think you are gonna be suprised with how much faster it is! So I don't think you will be!
For me is also important user experience, which you showed in the scene in the beginning… 👍
You caught what I was trying to show!! 💯 Heck yeah, thanks for noticing this!
Did you normalized your poll by the total number of users in each OS?
Cause there is plenty more Windows users then macOS users so it’s logical to assume that more people will choose windows in your poll.
for which which dataset presented. Mine that is around data science or for the general market?
@@LukeBarousse yours
@@talbn880 Ohh okay. No I did not normalize the dataset, I used what I gathered directly from the poll.
@@LukeBarousse i see, so even though it’s probably still same insight it maybe biased by that fact (cause there are more windows users then Mac users in the world)
Sr Sorry. Im looking to get into this world. And im between a Dell XPS 15 or a Mc Air M2. if a install parallels, it will solve any issues to certain things? Or you recomend me as a newbe a Dell?
What did you do?
Why not use Signal or Sessions?
We need update on this Luke 🤘
Hey Luke, why would I opt for a windows laptop since parallels is available?
It really depends. I like to work in the apple ecosystem and infrequently use Windows, so I feel Mac is a better option for me... but for someone that doesn't value the apple ecosystem, or more importnatly works heavily in Windows, they should probably consider a Windows machine.
@@LukeBarousse I have been granted a scholarship for translation technologies MA . I have Python and NLP classes. I feel the cloud computing and parallels will cover my back but I'm not sure... Btw, I am quite invested in the ecosystem; phone, computer, tablet, watch and the headphones...
@@officialegemen I think for something like that, then you should be fine with a Mac and can use Parallels if necessary.
How's the experience on Power BI (browser and desktop versions?)
Analysing is not a big deal for neither cpu or gpu.
Sick video! But it's pronounced data, not data
I love that 2:49 "data nerd" has become a unit of measure for this channel 🤣
😂 I mean that's how I count things IRL 🤷🏼♂️
Hey luke, i'm planning to study big data science this year but im confused between the macbook air m2 or asus zenbook intel 12gen, both with 16GB of ram and same kind of storage. my biggest concern is the support for the softwares and processor compatibily for machine learning. what would you recommend ?
For data science I think the m2 should be fine.. but if you're going to go into data analytics, my recommendation still is with the asus, as I discussed the reasons in this video
@@LukeBarousse thank you, btw i will be learning maths & stats, data mining, ML, data analytics and visualisation while using softwares like R, hadoop, python(anaconda, jupyter), mongo db, neo 4j, would m2 serves the purpose ?
@@gauravdwivedilovegadgets I am doing same. What did you buy?
@@nk5602 i bought m1 macbook pro, and it works like a charm with really good battery life.
@@gauravdwivedilovegadgets I meant, is it good for data science? Did you face any issues?
Hi!.You said the IdeaPad has a pretty high ram with 8GB but isn't that actually quite low. I think 16 GB should be the minimum for uses like data science these days.
I was saying that it has a pretty high amount of ram for the price. Sorry for the confusion.
For most normal tasks I think 8 GB's should be enough but would recommend 16gb if possible
Hello Luke,
1. What is the ideal choice between NVIDIA GeForce vs Quadro for data analysis and data science.
2. Is a laptop with full keyboard (with numeric keypad) better? These are usually 15"+
I am stuck between getting the Dell xps 13 or Dell Precision 7510
1. I prefer NVIDIA due to the ability to use CUDA processing (but that's only a benefit ML)
2. And that's personal preference for the numeric keyboard. I've been working on a short keyboard (without numberic keypad) the past number of years.
@@LukeBarousse Thank you so much Luke. But do you mean NVIDIA GeForce or NVIDIA Quadro?
Which one did u buy??
And is dell xps 13 with i7 (U series ) good for data analytics?
Hey Luke, What virtual machine are you using in this video please ?
Parallels
For programming in general macOS all the way and for deep learning Linux with nvidia cuda
thx
The main issue I have with PCs is they don’t last…a MacBook will last you 10 years but a pc maybe 2-3 maybe…at least the laptops…I need it for Power bi and honestly I don’t like adding windows to the Mac.
2:52 as a Data Scientist, you can not do such polls without providing additional information. Therefore, your poll results are biased and unrepresentative. Why? Because on average Macs are more popular among users in several regions: USA, Europe. Windows is most likely to be used in Eastern Europe, India and so on.
Great video @Luke Barousse I am planning to buy windows machine to learn data science...
I think it's a great (safe) choice!!
Hi Luke! I am currently using PowerBI on parallel and I have problems connecting to the localhost mysql server in my MacOS. May I ask how did you get to solve that?