Best Laptop for Data Science: As a data analysis scientist or student, you must work with a large amount of data, storing, analysing, and processing information. Thus, you need a laptop that is as powerful as you are, allowing you to complete your tasks more quickly.
Statistical research necessitates a large amount of computing space, and all you need is a laptop with high-end features. It helps you to concentrate more on your job and not be distracted by problems every now and then.
For smooth running over medium amounts of data, data analysis tools such as IBM SPSS Statistics Software or Statistix need a minimum of 4GB RAM.
The larger the information you handle, the more powerful the hardware you’ll need.
A decent laptop with high-end hardware allows you to handle more data without crashing.
If you are looking for the best laptop for data science then below are some great laptops you can go with.
Dell XPS 13 7390 LaptopGood Choice
2019 Apple MacBook ProBest Choice
Acer Nitro 5 Gaming LaptopGood Choice
High Performance HP 15.6″ LaptopGood Choice
MSI GS66 Stealth 10SGS-036 Ultra Thin LaptopGood Choice
What to Look for in a Laptop for Data Science?
Data science is the next frontier of computational computation and is critical to machine learning innovation.
Since data analysts are continuously processing large databases of gigabytes or even terabytes of data at once, performing sophisticated algorithms over such datasets, constructing predictive models, and generating immersive online visualisations – all while forming theories about what’s causing improvements in the data and evaluating them against various scenarios – they need efficient laptops.
RAM (Random Access Memory)
What is the minimum amount of RAM available for the best data processing laptop? You should get as many as you can.
Data does not shrink; the longer you work on it, the more data you can get. You can operate effectively with a cloud-based system if you have enough RAM. For data science, most experts say that 8GB is the bare minimum, with 16GB being better.
Data scientists work with large amounts of data, which necessitates a strong processor that boosts laptop efficiency even in stressful situations.
When shopping for a CPU, opt for one that is faster and from a younger generation. If you want to use AWS or other cloud-based services, we suggest getting a processor from the most recent generation.
Storage on Solid State Drives (SSD)
You’ll need an SSD with enough storage space to hold your files. Your data is just as fast as its storage location. A 256 GB SSD is a good option for a data scientist.
Graphics Processing Unit (GPU)
Most data scientists must deal with graphics when analysing various types of data. It’s important to choose a laptop that can handle the new technology.
The majority of CPUs have 4 to 8 processor cores, with many having 700 or more.
NVIDIA has done an excellent job in graphics by developing the CUDA parallel computing system, which allows data scientists to take advantage of parallel computing resources.
We strongly advise against using Intel HD cards and instead opt for NVIDIA or AMD graphics cards.
When dealing with various types of data or using data science tools, you’ll need a large monitor to easily review and modify the data.
When dealing with massive data, huge Data Tables, or data maps, the display scale becomes a vital aspect.
A minimum panel size of 13.3-inch FHD is recommended. A 15.6-inch FHD monitor is recommended by many skilled data scientists.
A long battery life helps you be more productive and saves you time.
Furthermore, you can take a laptop with a long battery life anywhere you go without having to think about charging it.
A laptop with a battery life of up to 6 hours and quick charging is needed for a data scientist.
Our preferred option will be a laptop that can provide power up to 10 hours in a single charge.
Another benefit is using a thunderbolt port (USB Type C) on your device, which allows you to pass data to and from external drives at lightning speeds. Most modern laptops have it, even if you avoid old laptops, you can automatically get one.
OS: Mac Vs Windows Vs Linux
Which is best for you depends on the business, organisation, and personal preferences.
So, these were the recommendations that you must look after before purchasing the best laptop for data scientists.
Best Laptop for Data Science Reviews
Dell XPS 13 7390 is powered by 10th Gen Intel Core i7-10710U and UHD Graphics for seamless efficiency.
The screen size is 13.3 inches along with 80.7% screen-to-body ratio and FHD (1920 x 1080) InfinityEdge Touch Display.
It is a remarkable device in any way, with a backlit keyboard, fingerprint reader, and a battery life of over ten hours.
You will spend hours watching movies and playing games while analysing and processing large amounts of data at high speeds.
The high-definition screen and excellent sound system will provide you with fantastic moments of comfort.
It would also be a wonderful engineering platform no matter where you work because of its incredibly lightweight and compact scale.
This laptop also has Gore thermal insulation which keeps the device cool under heavy software work.
- Good battery life
- Powerful performance
- High quality screen
- A bit costly
Apple is adored by data scientists for their data protection and data on the topic. Apple’s success is at an all-time high.
The Apple MacBook Pro is equipped with a powerful Intel Core i7 processor with a base clocking speed of up to 2.6 GHz.
Cores are essential for data science efficiency, and Apple provides 6 cores to give you sufficient output when playing with information.
Moving on to the GPU, the Apple MacBook Pro has an AMD Radeon Pro 5300M GPU that operates in tandem with 4 gigs of built-in VRAM to have the best graphics output possible.
To achieve ultra-fast and adequate storage space for data scientists, Apple has fitted MacBook Pro with 16 GB RAM and 512 GB SSD.
Since the Apple laptop runs on Mac OS, whatever data science programme you use must be compliant with Mac OS; otherwise, you’ll need to instal Windows via Boot Camp.
The monitor is very nice, with a 16-inch screen and a resolution of 3072 x 1920 pixels, allowing you to take your data visualisation to the next stage.
When it comes to the keyboard, Apple has created a good one that makes typing easier.
Furthermore, Apple’s battery life will last up to 11 hours, making it a good option for data science.
Apple MacBook Pro is undoubtedly one of the best laptops for data science on the market.
- Excellent display
- Good battery life
- Graphics are exceptional
Taking advantage of the power and speed of the 9th Gen Intel Core processor, as well as the high-performance NVIDIA GeForce GTX 1650 graphics—all of which are powered by NVIDIA Turing architecture.
With the devoted NitroSense Key, controls are just a touch away, and the WASD and arrow keys are illuminated for quick identification.
It has red backlit keyboard, through which you can add some spice to your data science analysis and play in dimly lit areas without any trouble.
Better audio gives you a comparative advantage while also providing a more engaging atmosphere.
As Waves MaxxAudio meets Acer TrueHarmony, energise your experience and enjoy crushing audio.
With Waves MaxxAudio, you can get intelligent drums, conversation, and volume amplification, as well as louder, richer effects with Acer TrueHarmony.
- Good performance
- Excellent connectivity options
- Backlit keyboard
When we talk about its graphics, Integrated AMD Radeon R2 will not disappoint you at all and it will provide top speed performance.
The 15.6-inch screen has (1366 x 768) SVA BrightView WLED-backlit display along with a VGA webcam.
When we talk about ports and connectivity, this laptop features Integrated 10/100 BASE-T Ethernet LAN, 802.11 B/G/N, 1 HDMI, 1 SuperSpeed USB 3.0, 2 USB 2.0, 1 Headphone/microphone combo jack, 1 RJ-45, 1 multi-format SD media card reader.
Overall, you will get a satisfactory experience while the study of data science with this device.
- Good processor
- Fast performance
- Excellent connectivity
- Average webcam
This kind of devices have almost all of their specifications maxed out, including the CPU, GPU, RAM, and storage.
Workstation laptops aren’t any more useful or efficient because their GPUs have a lot more CUDA cores, but they can be very expensive.
I like the MSI brand because of the specs-to-price ratio and the cooling systems that keep their notebooks going for years with no need to downclock the Processor or GPU.
The GPU here is quite powerful allowing you to accelerate any GPU operation such as Image Analysis or parallel computation (Deep Learning, Machine Learning,etc).
Sadly, the battery life and weight are both low, and you also get a few specifications that are pointless for data scientists but suitable for gaming.
G-sync and 240Hz refresh speeds aren’t optional, and you won’t be able to find a laptop without them.
- Powered by Intel Core i7-10750H
- Good for data science
- Fast speed
FAQs Related to Laptops for Data Analytics
From Dell XPS 13 7390 to MacBook all the options in this article are appropriate for data scientists.
If you work full-time as a data scientist, the best laptop to get is one that can conveniently bind to the cloud environment. Our devices for data science work are suitable because they can do both hard and light activities.
If you’re a Data Scientist who wants to process data fast, a high-end machine with decent high-end specs will be ideal; a minimum of 256GB SSD and at least 16GB of RAM, along with an i7 quad-core processor, could get you started.
AMD Quad-Core Processor, NVIDIA GeForce GTX 1650 and many more are suitable for data science.
Wrapping it up…
So, this is was all about the best laptop for data science; now it’s up to you to decide which laptop is best tailored to your needs.
Processing capacity, RAM, and hard drive capacity are the most important things to remember when buying a laptop for data science.
If the computer can’t accommodate complicated algorithms or massive databases, there’s no point in wasting money on that device.
Thus, I have prepared this complete buying guide so that you can make the right buying decision.