14 Best Laptops for Data Science (September 2024)

Choosing the right laptop as a data scientist is an important step. From accessing and hosting databases to running queries and code, you will need a laptop that’s powerful, durable, reliable, and portable. In this guide, I ranked and reviewed the 14 best laptops for data science, along with our top 5 choices, so you can pick the best one for you.

The Lenovo Legion 5 Pro is my top pick because it packs power, speed, image quality, a full stack of common ports (USB, HDMI, etc.), and a full keyboard (with number pad), all in the mid-tier $1,500 price point.

Most Powerful for AI & ML

An extremely powerful machine with 1TB of hard disk size, 16GB of RAM, a 12th Gen Intel i7 processor, and an RTX 3070 Ti graphics card that will carry the weight of any database or code execution. It also has a 17.3 inch screen for easy viewing.

Best Graphics Display +Touchscreen

With a display resolution of 3840×2400, the Dell XPS 17 is in a class of its own for crisp images while you work. With 32GB RAM and an Intel i7 processor, it packs 8 cores and 16 threads of processing power so your beautiful screen is also fast.

HP challenges the powerful-computer space with this affordable model that’s perfect for beginners or those who need slightly less processing power. It has a reasonable 16GB RAM and 512GB of hard drive but runs a slightly weaker Ryzen 5 CPU than its more expensive counterparts.

There really is no better than the MacBook pro for data scientists. The 2021 models have upgraded to M1 CPUs and boast 16GB of RAM and 512GB hard drive space. If you’re connected to the Apple ecosystem, we recommend this one.

Are you looking for a new laptop that can handle your work as a data scientist?

When it comes to data, things aren’t as simple as using a basic laptop to host heavy data, servers, and clients, as well as run advanced queries and code. You’ll run slow (and maybe damage a weaker computer, depending on what you process).

You need something more powerful: a laptop built for handling these system-demanding processes.

This guide covers the best options based on 25 criteria: price, screen resolution, screen size, screen refresh speed, operating system, SSD Storage, RAM, CPU (speed, cores, threads, and cache), GPU (cores and memory), weight, battery life, keyboard size (partial of full), and ports (ethernet, USB-C/USB-A, headphone/mic, HDMI), and Webcam.

Data Science Laptop Requirements

Laptops have a number of specifications that drive performance and price. Here are the things you need to consider (and we review for each recommended laptop in this article).

Required specs for data science laptop (where choice is available):

Now that you know what to look for, let’s get started.

What is the best laptop for data science?

Here are my top picks for best laptop for data scientists:

Lenovo Legion 5 Pro

Best Overall Laptop for Data Science

The Lenovo Legion 5 Pro is an underestimated laptop in the powerful PC space. It’s powered by AMD’s Ryzen 7 CPU and a NVIDIA 3060 GPU, making it rare in the $1,500 price point. It’s 16 inch size makes it portable but doesn’t sacrifice resolution (2560×1600) nor refresh speed (165Hz). If you’re looking for a laptop to handle data science work that will last and provides upgradability for a reasonable price, I recommend this Lenovo. What’s more, Lenovo’s customer service is decent, which can’t be said for many other brands.

Our Rating: 9.6 / 10

Rating: 9 out of 10.

Best ForBest Overall Laptop
Price$1,500 – $1,550
CPU RatingVery Strong (Ryzen 7 5800h – 4.6GHz, 8 Cores, 16 Threads)
RAM RatingStrong (16GB)
GPU RatingVery Strong (NVIDIA GeForce RTX 3060, 3584 cores)

The Legion 5 Pro is essentially a hard copy of the IdeaPad i3, but with more power and increased image quality. It inherits a user-friendly ports system, and Lenovo’s support is usually good. You can think of it as a step-up from the Acer Nitro 5, though it comes at an increase in price of appx. $230, making it a good candidate for data scientists who are just past the beginner phase.

Our Rating: 9.6 / 10

Rating: 9 out of 10.

Key Features

Specifications (Specs)

Brand Concerns

User Experience

With Windows 11 bugs fixed, the Lenovo Legion 5 Pro has a quality user experience. Though not styled as “sexy” as its Acer Nitro and Predator counterparts, the Legion 5 Pro has better visuals, runs faster, and has all the legacy ports you need. At 16 inches, it’s easy to transport but nevertheless packs 2560×1600 resolution and 165Hz refresh speed, making it the best user experience for the size. What’s more, it has a full keyboard built in, so you won’t need to purchase an external keyboard or number pad when hooking up to a larger monitor.

Pricing

The Lenovo Legion 5 Pro 16 inch is priced at $1,500 – $1,550 on Amazon (tip: add each laptop to you shopping cart to easily compare later).

What I like & Dislike

Like

Dislike

It’s rare to find a powerful laptop in the $1,500 range with so much power, image quality, and decent customer service. I recommend the Lenovo Legion 5 Pro for beginners and experienced data scientists alike.

Razer Blade 17 Gaming Laptop

Most Powerful Laptop for AI & ML

The Razer Blade 17 is the most powerful machine on our list. It will handle even the most advanced evolutionary programming, fuzzy logic, artificial intelligence, and machine learning programming with ease. And with 2560×1440 resolution backed by 144Hz refresh speed, the hardware is capable of fully levering NVIDIA’s 3070 Ti GPU, delivering a beautiful image quality.

Our Rating: 9.4 / 10

Rating: 9 out of 10.

Best ForMost Powerful Laptop for AI & ML
Price$3,100 – $3,200
CPU RatingStrong (Intel i7 – 12800H (4.8GHz, 14 Cores, 20 Threads)
RAM RatingStrong (16GB)
GPU RatingStrong (NVIDIA GeForce RTX 3070 Ti, 6144 cores)

If money is no object, the Razer Blade 17 is the best machine on our list. The specs speak for themselves — it’s loaded from start to finish with 144Hz refresh and 2560×1440 resolution, 1TB storage, 12th Gen i7 CPU and a NVIDIA 3070 Ti PLUS a coprocessor . The only way to make this machine better is more storage and upgrading to an i9 processor… but in truth, you won’t need to.

Our Rating: 9.4 / 10

Rating: 9 out of 10.

Key Features

Specifications (Specs)

Brand Concerns

User Experience

With the exception of a full keyboard with number pad, the Razer Blade 17 is a powerful machine that delivers high-quality imagery, allows for easy connectability through its multiple ports, and runs fast and smooth. They’re called Razers for a reason!

Pricing

All its power comes at a price – the Razer Blade 17 comes in at $3,100 – $3,200 on Amazon.

What I like & Dislike

Like

Dislike

All in all, the Razer is the highest performing machine on the list. Like most computers in this article, the Razer is originally built for gaming. It’s top-tier technology is needed for that kind of intensive load, and many data science tasks have demand on image quality, making this a great choice for analysts looking at machine learning and artificial intelligence programming (Python, R, SQL, etc.)

Dell XPS 17

Best Data Science Laptop for Graphics (+ Touchscreen)

If you want the best display quality and interaction, then Dell’s XPS17 is the right machine for you. It has a large 17 inch display with 4k ultra HD screen with 3840×2400 resolution that produces an unmatched image quality, powered by a NVIDIA 3050 graphics processing unit. Plus, it’s touchscreen. Definitely consider this machine if your goal is image quality and you can forfeit some power. Just make sure you get this one with 1TB SSD and Windows 10 (Windows 11 performs less well).

Our Rating: 9.0 / 10

Rating: 9 out of 10.

Best ForVisual Performance and Graphics
Price$1,500 – $1,600
CPU RatingStrong (Intel i7-11800H (4.6GHz, 8 Cores, 16 Threads)
RAM RatingSuper Strong (32GB)
GPU RatingStrong (NVIDIA GeForce RTX 3050, 2304 cores)

The touchscreen technology on the Dell XPS17 takes some getting used to, but it’s easier to scroll and improved overall interaction with the screen. The image quality on the XPS17 is by far the best on our list. I like this one for data scientists who need to work long hours but don’t need to host databases or servers themselves (so it’s not recommended for freelancers).

Our Rating: 9.0 / 10

Rating: 9 out of 10.

Key Features

Specifications (Specs)