While most data scientists find data analysis and data science to be a complicated process of tasks combined together – it’s something that is necessary for any business that deals with a large quantity of data. Therefore, having a reliable and powerful laptop is a must and in this post, you’ll exactly find the best laptops for data science.
Of course, even though data scientists might have special skills that help them understand the data and analyze it further – not everyone is very good when it comes to technology. Therefore, finding a perfect laptop can be a bit tricky for data science for data scientists – and that’s okay!
Recommendations for November 2020
Best Laptops for Data Science & Data Analysis 2020
Dell XPS 9570 – 4K Touchscreen
Dell XPS 9570 is equipped with the latest 8th generation of Intel Core i7 processor that can push some incredible processing power.
It works together in combination with 32 GB RAM, 512GB SSD storage, and a dedicated NVIDIA GeForce graphics card.
To have the ultimate focus throughout their workdays, data scientists will enjoy the Infinity Edge IPS display.
It doesn’t only provide a comfortable view from different angles, but this laptop also offers narrow bezel that improves the overall aspect ratio.
Wherever you go, you will love taking XPS 9570 with you. It is a very sleek and slim laptop for data science which hides all the computing power inside its lightweight body.
Narrow bezel display truly adds up to the overall sleek design along with the carbon matte finish.
Recommended Configuration For Dell XPS 9570
CPU: Intel Core i7-8550U| Graphics: NVIDIA GeForce GTX 1050| RAM: 32GB RAM | Screen: 15.6-inch 3840×2160 UHD InfinityEdge Touch display| Storage: 512 GB SSD| Operating System: Windows 10| Battery Life: up to 6 hours | Weight: 4 lbs
Apple MacBook Pro – High Functioning OS
Apple’s well-known Retina display is always improved and the Apple Macbook Pro model includes True Tone technology that optimizes the display according to the user’s eyes for the most comfortable viewing experience.
Apple Macbook Pro provides stunning visuals with great viewing angles.
To make the work smooth and multiple-tasking easier, Apple’s innovative Touch Bar lets data scientists work more productively.
Instead of grabbing the mouse every time, data scientists can switch easily between tabs or software with a touch – and much more than that.
Apple will never let them down, especially with the Apple Macbook Pro which features ultra-fast 512 GB SSD storage, an Intel Core i7 processor, 16 GB RAM, and Intel Iris Plus Graphics 640.
Apple Macbook Pro reduces waiting time on the start-up and it helps speed up the time of file transferring.
Recommended Configuration For Apple MacBook Pro
CPU: Intel Core i7| Graphics: AMD Radeon Graphics| RAM: 16GB RAM | Screen: 16-Inch Retina with True Tone display| Storage: 512GB SSD| Operating System: Mac OS| Battery Life: up to 11 hours | Weight: 8.23 lbs
Acer Predator Helios 300 – Ideal For Data Analysis
Since the Acer Predator Helios 300 packs some very serious configuration, it needs a proper cooling to maintain it processing power and overall high specs.
Acer came up with a surprising innovation that introduces 3D cooling fan blades. They reduce the noise and improve the cooling no matter how heavy the processes are.
With the 9th generation Intel Core i7 processor, GeForce GTX 1660 graphics card, and plenty of storage space with 16 GB of RAM.
The dedicated graphics card itself has 16 GB of dedicated RAM for graphics processing and is even overclockable for much better performance.
We were surprised to see a very decent battery life since we expected it to be below average due to the high processing power and components that consume a lot of computing power.
However, the battery can last up to 3 hours, which isn’t a lot when you think of it at first by today’s standards – but is amazing for a portable laptop for data science of this configuration.
Recommended Configuration For Acer Predator Helios 300
CPU: Intel Core i7-9750H 6-Core Processor | Graphics:NVIDIA GeForce GTX 1660 Ti Graphics | RAM: 16 GB RAM | Screen: 15. 6″ Full HD (1920 x 1080) Widescreen LED-backlit IPS display | Storage: 512 GB SSD| Operating System: Windows 10 Home | Battery Life: 3 hours | Weight: 5.29 lbs
Dell Inspiron 15 5593 – Affordable Mid-end Laptop
There is no better way to be on the safe side than relying on two storage drives which work together to bring the optimum speed and plenty of space.
Therefore, Inspiron 15 5593 features usable specs for data science, It has a Intel Core i5-1035G1 processor, 1.8 GHz, 8GB RAM and a 256 GB SSD storage that provides quick and snappy performance.
Unlike other Inspiron models, the Dell Inspiron 15 5593 doesn’t have a touchscreen feature so keep this in mind when buying this laptop. But even without a touchscreen it’s very functional and usable just from the specs mentioned above.
You will never have to worry about connectivity with this laptop since you’ll be equipped with plenty of ports.
This includes 3 USB ports, headphones/microphone jack, HDMI port, and even a dedicated battery storage space.
Recommended configuration for Dell Inspiron 15 5593
CPU: Intel Core i5-1035G1 | Graphics: Intel UHD Graphics| RAM: 8 GB RAM | Screen: 15 6-inch Full HD (1920×1080) Anti-Glare LED-Backlit Non-touch Display Narrow Border | Storage: 256 GB SSD | Operating System: Windows 10 | Battery Life: 3 hours | Weight: 6.02 lbs
Razer Blade Pro 17 – Incredible Processing Power
Razer managed to do an incredible job by making a powerful yet compact laptop and even feature a large display by introducing edge-to-edge technology.
This laptop features a narrow bezel design that improves aspect ratio, reduces distractions, and improves the viewing angles.
Even though Razer Blade 17 is a compact laptop, it’s very thoroughly built. It is very thin, but is rugged with a CNC aluminum material that forms the unibody.
No matter where you take this laptop, you will be protected and worry-free.
It’s also one of the most powerful laptops on this list as it features a powerful 10th Gen Intel Core i7-10875H processor that can go up to 5.1 GHz. It puts the other laptops on this list to shame simply by its processor alone.
It even has a top of the line NVIDIA GeForce RTX 2080 Super which helps in rendering and loading of graphic files.
We aren’t sure how Razer managed to add so many ports and still make this laptop quite thin and compact but it’s brilliant work.
You will never lack ports since you’ll have 3 USB ports, one Thunderbolt 3 port, and even a mini HDMI display port.
Recommended configuration for Razer Blade Pro 17
CPU: 10th Gen Intel Core i7-10875H Processor | Graphics: NVIDIA GeForce RTX 2080 Super| RAM: 16 GB RAM | Screen: 17″ IPS-Grade 300Hz 4K (3840 x 2160) | Storage: 1 TB SSD | Operating System: | Battery Life: 4 hours | Weight: 10.63 lbs
Microsoft Surface Pro 7 – Powerful 2-in-1
Wherever you go and wherever you work – you will enjoy using this slim and lightweight laptop because of its 3 modes of use.
You can use it in a standard model which is a laptop mode, in a studio mode which is ideal for data science presentations or as a tablet where you detach the keyboard cover for better access.
Data scientists often mistake this laptop for a tablet due to its very thin and slim design. If you’re someone who works on a go – you will enjoy the lightness Surface Pro 6 offers.
However, the design is still sturdy and very durable to shock and drops and it features an Intel Core i7-10510U CPU,16 GB of RAM, 256 GB SSD storage and an Intel Iris Plus graphics card.
Additional accessories have to be purchased additionally, but Microsoft offers customized accessories you can choose from.
They include the keyboard/cover, pen, or a mouse – and yes, they’re totally worth the additional investment.
Recommended configuration for Microsoft Surface Pro 7
CPU: 10th Generation Intel Core i7-10510U Processor | Graphics: Intel Iris Plus Graphics| RAM: 16GB RAM | Screen: 12.3-Inch 2736×1824 display| Storage: 256 GB SSD| Operating System: Windows 10| Battery Life: up to 10.5 hours | Weight: 2.45 lbs
Asus ROG Strix Scar III – N-Key Rollover
ASUS ROG Strix Scar II| is one of the most powerful laptops on the market right now. Even though the price might be a lot higher than other laptops – it features a configuration that won’t slow you down and will provide excellent experience.
ASUS introduced a narrow bezel display which increases the aspect ratio, gives a better viewing angle, and is easier on the eyes – no matter how long you stare at the screen.
It even introduces a very high refresh rate of 1240 Hz so you never notice a lag.
If you mostly rely on the Wi-Fi connection, you will love the multi-antenna RangeBoost feature introduced by ASUS to improve the connection.
Asides from wonderful and powerful specs it has convenient features like its N-Key Rollover which allows for multi-key inputs allowing you to take on multiple tasks at once and handle them a lot faster than usual.
Uploading and downloading files has never been simpler thanks to this technology that improves the Wi-Fi speeds and improves the reliability of the connection.
Recommended configuration for Asus ROG Strix Scar III
CPU: Intel Core i7-9750H| Graphics:NVIDIA GeForce RTX 2060| RAM: 16GB RAM | Screen: 15.6-Inch HD display| Storage: 1TB SSD| Operating System: Windows 10 Pro| Battery Life: up to 5 hours| Weight: 4.3 lbs
Alienware M15 – Advanced Cooling
Thanks to its reliable display, you will never have to look for another laptop to fulfil your screen desires.This laptop features a decent resolution of 1920 x 1080 pixels along with the vivid, bright, and crystally clear image.
If you don’t want to be slowed down and you’re looking for efficiency as well as reliability – there is no better way than going with a 6-core processor.
It’s true that this laptop is on the slimmer , and of course, very portable – but it’s built like a tank. It’s built to last which is amazing in its own right.
This laptop is very shockproof and won’t break down even if it experiences an accident throughout the years of use.
But its biggest contribution to data science is probably its advanced cooling system. It has the trademark ALIENWARE CRYO-TECH V3.0 which improves airflow and ensures that each and every one of its cores is cooled preventing overheating as well as loud and annoying fans that simply distracts you from working properly.
Recommended Configuration For Alienware M15
CPU: Intel Core i7-9750H| Graphics: NVIDIA RTX 2060 6GB | RAM: 16 GB RAM | Screen: 15.6″ FHD (1920 x 1080) display, 144Hz refresh rate and 300-nit brightness| Storage: 512 GB SSD| Operating System: Windows 10 Home | Battery Life: 6 hours| Weight: 4.76 lbs
Apple MacBook Air – Light But Powerful
Air is one of the lightest laptops on the market and it’s very pleasant feeling to know that data scientists can rely on it and use it as their main laptop.
With this thinness and lightness, you get to work anywhere you like without any limitations.
No matter where you take this laptop – you will always have an amazing view when you open the screen.
It features the Apple’s upgraded Retina display which now comes with True Tone technology that adjusts the screen brightness and color to the environment – so the user gets the best possible viewing experience.
To keep your all files and data secure – you will love avoiding the use of passwords and replacing them with a Touch ID.
Touch ID allows you to enter the laptop, purchase, save, download, and more with a press of a finger on the sensor. This takes the security to another level.
Recommended configuration for Apple MacBook Air
CPU: Intel Core i5, Turbo Boost | Graphics: Intel Iris Plus Graphics | RAM: 8GB RAM | Screen: 13.3-inch (diagonal) LED-backlit Retina display with IPS technology; 2560 x1600 native resolution| Storage: 512 GB SSD | Operating System: MAC OS| Battery Life:12 hours | Weight: 2.8 lbs
Dell 15 – HDD + SSD Storage
If you’re a data scientist who works in more of a visual software – you will love the power NVIDIA GeForce GTX 1050 Ti puts out for this laptop. In addition, this laptop is also equipped with Intel Core i5-8300H, quad-core, 2.3GHz up to 4.00 GHz, 16GB RAM, and 512GB SSD + 1 TB HDD Storage.
What’s also worth mentioning is that this is a Ti version which is overclockable to even further level of performance.
For the most secure file transfers, storage space, and reliability in data science field- Dell features two storage drives.
One of them is the SSD storage which is ideal for the operating system and a couple of software, and then you have an HDD which is suitable for storing all data science.
Who said that power needs to be bulky, heavy, and hard to take with you everywhere you go?
Dell features a very decent and powerful configuration inside a sleek and slim design that is made out of robust plastic.
This way, both visuals and durability are taken into consideration. Also, believe us, you will love the touch of this laptop – it just feels very premium.
Recommended configuration for Dell 15
CPU: Intel Core i5-8300H| RAM: 16 GB RAM | Storage: 512GB SSD + 1 TB HDD |Graphics: NVIDIA GeForce GTX 1050 Ti | Screen: 15.6”, full HD IPS anti-glare display |Operating System: Windows 10 | Battery Life: 6 hours | Weight: 5.57 lbs
Picking The Best Laptops For Data Science In 2020
It’s very hard to find a suitable choice (at least the budget would have to be increased slightly than when looking for a usual laptop), and they can be a pricey investment but very well worth the price they cost.
While 8GB of RAM is decent, 16 GB RAM is always better for data science analysis and that’s what we recommend. If you find a laptop with 32GB RAM, that’s even better.
Quad-core processors are a requirement. The dedicated graphics card is desired, depending on the type of algorithms and software you’ll be relying upon.
Screen Size & Resolution
The next step is to pay attention to screen size and resolution.
Why screen size and resolution? You’ll want your laptop to be very thin and lightweight.
The screen is going to be your point of view where you will have the sight on the whole process.
We highly recommend going for the IPS backlit display for the best viewing experience and most comfort.
We highly recommend sticking with the most official and most commonly used operating systems which are either Mac OS X or Windows.
These operating systems will 99.8% have every software or plugin you need in order to do your work, while you might struggle to find it on other operating systems such as Linux.
If you decide to opt-in with Mac OS X, you won’t have to worry about the version of the OS, yet we only recommend you to stay up to date with the OS updates (which aren’t very often).
Frequently Asked Questions
What are the system requirements for data science?
We would recommend at least 8 GB of RAM, dual-core processor, and a dedicated graphics card (or a very good integrated graphics card chip – ideally i5 or i7).
Plenty of storage space, ideally SSD storage type or a combination of both SSD & HDD, or even SSHD version.
Is 8 GB of RAM enough for data analysis?
The minimum recommended RAM is 8 GB for data science and analysis, but just to be on the safe side – we recommend sticking to 16 GB.
Are gaming laptops good for data science?
Yes, definitely. Gaming laptops aren’t only made for games. In fact, they feature powerful configurations that are ideal for data analysis. However, make sure you keep in mind that they’re most of the time on the heavier side and might sacrifice the battery life a bit.
Do data scientists use Mac or PC?
Being two of the most used OS out there (asides from Linux), Mac OS and Windows are able to run almost all of the major data science programs out there. With this being said, rither OS should be able to handle data science programs well and perform in an efficient manner.
However most data scientists prefer to use a Mac OS instead of a windows. This is because the Mac OS is simply more efficient and effective than its Windows counterpart. Ever heard of a Mac getting a virus? If they do, it’s very rare. A PC on the other hand requires multiple anti-virus programs to keep itself from getting infected.
Another thing that the Windows OS has a lot of is bloatware. Programs that take up space and important resources from the computer. Although the resource they use varies from small to large, its still a big detriment when running resource intensive data science programs.
With this being said, data scientists simply prefer a Mac over a PC because its more stable and reliable.