3 Best Laptops for Data Science in 2022

Being a data scientist is not easy. Dealing with a lot of data can be quite tiring, especially when it comes to collecting, gathering, and analyzing large amounts of information. That doesn’t even include presenting the information in a way that benefits a business or organization.

However, a good laptop can make the job much easier. This guide breaks down some of the best laptops for data science on the market and analyzes why they stand out.

Quick Summary

After checking various laptops on the market, only three met all our strict requirements for data science.

  • The Asus Vivo book S15 is the ideal choice for people who are new to science data and analytics.
  • Are you looking for an affordable system that doesn’t skimp on premium features? Then you should consider getting the Huawei MateBook X Pro.
  • If you’re an Apple lover with a high budget, the MacBook Pro is a great option. It provides exceptional performance and has more speed than most laptops.

Who Should Get This?

All of the listed laptops here are for data scientists that handle both heavy-duty and light tasks. Hence, the laptops are all high-end. They can run all data science tasks without having lagging issues.

Compiling data can be a tasking process. Not just on you, but on your computer as well. As such, the laptops in this guide are perfect for people who don’t want any lag. Speed matters when it comes to data science and this hit that mark. However, understand that the premium machines, with the exception of the Asus Vivo book S15, all come with a premium price.

Best Laptop for Data Science: What to Consider in 2022


Storage is a crucial factor for any data scientist looking for a new laptop. As such, always know what storage hard drive you prefer: an HDD or SSD. The HDD drive takes more time to run, and it has a lot of moving parts. That is why it is better to get a device that comes with SSD storage. You can get away with HDD, as long as it comes with SSD. Never get one with just HDD on its own.

Operating System

Your operating system choice comes down to personal preference. If you’re an ardent user of Mac OS, you can go for the MacBook Pro or MacBook Air. If you like Windows, go with that instead.


Data scientists cannot do their job without a strong graphics card. Always look for machines that have advanced graphics. That will not just allow you to your job with no lag, but it will enable you to play certain games as well.

Screen Size

Screen size is another crucial factor to consider before getting a new laptop. You have to know what size is best suitable for your work as a data scientist, especially if you aren’t planning to strain your eyes. Most professionals opt for a 15-inch screen. However, you can go for a smaller 13 – 14 inches laptop like the MacBook Air if you only analyze data as a part-time job.


If you’re not going to be working in an area where you have to move a lot, then you don’t need to worry about your laptop’s size and weight. However, if your job requires a lot of travel, then you should consider going with a lighter model.


Many of today’s laptops come with a Core i3, Core i5, or Core i7 processor. Data scientists want laptops that come with a Core i7 processor, as they tend to be more powerful. Such systems are able to perform heavy tasks, such as designing or editing. Laptops with Core i5 also deliver quality performance. That makes them a fine substitute if you don’t have the budget to get a Core i7.

Best Laptops for Data Science: Our Picks for 2022

1. Asus Vivo book S15

The Asus Vivo book S15 is a stylish, lightweight laptop that comes with a ton of excellent features. The designers gave it a sleek design that looks great and makes it stand out among the competition. The machine has a 7th Generation Intel Core i7 that comes with a combined 256GB SSD and a one terabyte HDD hard disk storage That, combined with the 8GB DDR4, makes it incredibly fast. The backlit keyboard has three different brightness levels and the entire device is fully upgradable if you want more features.

What We Like:

  • Sharp PPI screen
  • Smooth user experience
  • Backlit keyboard
  • Dual-fan thermal design

What We didn’t Like:

  • Can run hot when used for 4 or 5 hours straight

2. Huawei MateBook X Pro

The Huawei MateBook X Pro, also known as the budget version of the Apple MacBook, is all about build. The sleek device comes with many of the same specs Apple puts in their machines, including a similar graphics card, screen resolution display, and battery life.

In addition, it also has superb performance on top of a 9 to 10 hour battery life. A great choice for people who travel a lot. Plus, it has a great battery life that lasts for up to 9 – 10hours, which makes it an ideal option for you—if you do a lot of travels. The laptop is lightweight and ultra-slim, two features that increase its comfort and usability.

What We Like:

  • High performance
  • Portable
  • Lightweight
  • Extended battery life

What We Don’t Like:

  • Laptop fans can run loud at times

3. New Apple MacBook Pro

The MacBook Pro is not a computer then needs an introduction. It has incredible quality, which is perfect for senior data analysts. If you want to enjoy the perks of the UNIX and the Air Book, this is the machine for you. Not only does this perform at a high level, but it is more than capable of handling heavy tasks. That is because of its 16GB RAM and 512GB SSD storage Both are strong enough to run a ton of Apps. The machine even has 4GB of dedicated video RAM, which enables it to handle high-end graphics processes.

What We Like:

  • Long-lasting battery life
  • Solid retina display
  • Portable and lightweight
  • 512GB SSD storage

What We Don’t Like:

  • Very expensive


What is the Minimum RAM that Data Scientists Should Use?

The RAM you get for your system depends on your budget. If you want higher amounts, you need to pay more. You can go for affordable options, but you will lose some memory in the process. No matter what you do, don’t go below 8GB.

What are the Basic System Requirements for Data Science?

We recommend you get a laptop with a minimum of 8GB RAM, a dedicated graphics card, Core i5, SSD or SSD & HDD, and a dual-core processor with a ton of hard drive space.

Final Words

This guide should give you a better idea of what data science laptops are out there. But, whatever option you decide to choose from this list, it’s ideal if you go for the best laptops for data science that fits your specific needs and budget.

We’re earnestly waiting for you to share your thoughts in the comments section below. Tell us what you think about the three products listed. Which one do you prefer the most? Are there other favorites you didn’t see here? Let us know below!

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