The 10 Best Laptops for Data Science 2022

The Dell XPS 15 7590 is what I personally use. I chose the version with no touch because I’m lazy and I don’t like to clean my fingerprints. I have been using it for about a year now, the experience is mostly lovely.

Still prefer my desktop computer setup but the laptop it’s fast, powerful, relatively light, and easy to handle. In the beginning, I noticed some brief glitches but they disappeared. When it comes to data science it has all the bells and whistles that are ultimately important.

But if you have too much money or you’re already stuck in the Apple ecosystem then the Apple Macbook Pro 16″ is what I recommend. You can choose a model with RAM up to 64GB and you can also choose between i7 and i9 CPU models.

I’m not a huge fan of Apple. Their consumer hostile practices in the US and attempts at implementing the same rules in EU have rightly pissed me off. On top of the consumer hostile practices please keep in mind that you can not upgrade your hardware without a significant investment.

This baby is a beast. I7 processor with a GTX 1050 graphics card. Although laptops are not intended for heavy processing, this laptop can. Acer is not the most prestigious of brands but they make affordable workhorses for those who are more budget conscious.

It looks a bit cheap, but it doesn’t matter. It’s what’s inside that’s truly important! The inspire runs an ISP display (a standard you should always look out for) on a 15″ screen. Also the standard 16GB of RAM in this article. 512GB SSD.

Asus should be higher on the list. According to a study that compared 9 different laptop brands and 1000 units from each, it was discovered that Asus was the most reliable producer of laptops. The failure rate was the lowest. Followed by Toshiba, Sony, Apple, and Dell. The least reliable was HP which was also the largest producer of laptops.

My experience with Asus has always been satisfactory in the past. This should be no different.

Toshiba was the second most reliable laptop producer in the previous study. This is Japanese quality for you in a traditional black aluminum case. It comes with my preferred 15″ screen but it lacks an IPS display.

IPS is important from a design and entertainment perspective if you prefer warmer colors, but something you can pass on as a data scientist. Otherwise, it’s a powerful machine with all the central processing power, solid-state drive, and random access memory you could want.

The Lenovo Flex 5 14″ 2-in-1 laptop fits into the middle of our recommended list. What stands out is the IPS touchscreen with the graphical pen that accompanies it. The battery lasts up to 10 hours so you can do some casual digital art without needing to recharge.

It’s on the heavier side with 3.62 lbs but fair enough considering the touch-sensitive screen and the flexible design. This is a great budget option if you want functionality without sacrificing much power.

Lenovo Thinkpad E15 15.6″ with an IPS screen. The laptop comes with the iconic Lenovo red button, used as a replacement for a mouse or the trackpad. Everything else is top-notch.

Intel i7 10th generation processor, 16GB of RAM, 512GB SSD. Fingerprint sensor for security and Type-C, HDMI, RJ, Audio Combo jack with regular two 3.1 and one 2.0 USBs. Sophisticated modern design, coupled with functionality and power to match.

One of the more powerful laptops on this list. The Asus TUF Gaming Laptop comes with an almost 16″ IPS screen. But all that power makes it the heaviest laptop on this list.

A Ryzen 7 processor coupled with an Nvidia GeForce RTX 2060 graphics processing unit. 512GB SSD and 16GB of RAM. But all that power makes it the heaviest laptop on this list. It’s a great entry-level professional machine. Beautiful futuristic design on top of computing power for everything: heavy data processing, gaming, machine- or deep learning.

Another more affordable laptop on this list. It didn’t land on the list because it’s a good data science laptop. But rather that it’s just a machine for utilizing a rented server approach to data analysis.

It’s almost a great choice for data science but the 8GB RAM is underwhelming by modern standards. Within the sleek aluminum-magnesium chassis runs an AMD’s Ryzen 4700 CPU and a battery with a life of 11.5 hours.

The Fusion Windows netbook isn’t very powerful. But that’s the point. It’s affordable. The idea is that if you don’t have access to a lot of money but still need a way to analyze data then use this netbook to run a server where you run your computations.

The base model has 4GB of RAM and 64GB of hard drive space. Standard Full HD IPS display 1920*1080 at 14″. It’s lightweight at just about 1.2kg. The battery time isn’t amazing, at least 4 hours, but as long as you keep your charger with you that’s no problem.