12 Best Laptops for Data Analysis in 2022 (Smooth Workflow for Scientist)

Selecting the best laptops for data analysis can be challenging because you have to consider many things. However, before you go on, you need to realize that most data-specific operations are carried out on a remote server and that the machine serves primarily as an intermediary.

In the absence of internet access, things seem to be murkier. However, you would need a reactive OS, a faster processor (not Intel Core i9, of course), and more desirable storage quantities for better performance. Even if you are a university student, you can do most of the tasks on your computer itself (not all universities provide remote server access.)

Data scientists also use a range of applications and methods to analyze datasets, databases, and more. The Tableau for display or terminal data or connecting the computer to the data server requires exceptionally high processing power. For many professionals, access to SQL management resources such as Workbench and tools like Anaconda is often needed to simplify their work.

First of all, the operating system is crucial in choosing the best laptops for data analysis. Although the macOS works better when connected to a remote server, you can still use Windows 10 but Linux on-board.

Although the system will not require a potent computer if you end up using the remote server for your work, it must have a solid, multi-core, good, fast SSD-based storage and a sizeable RAM for the device. A decent display accompanied by an ergonomic keyboard and a coherent set of available ports must be given for this unit.

Only if you work with neural networks, machine learning, and parallel computing is a computer with a powerful GPU required. However, since your graphics card cannot be updated, you have to settle on the person who can handle your work (Don’t raise your budget, because what is the point of purchasing a laptop that can’t do the job you bought for)?

Acer Nitro 5 (Best Laptops for Data Analysis)

Acer Nitro 5

It is the basic laptop for almost all data analysis forms and is suitable for students who start with data analysis, including researchers or classes in data analytics.

An adequate amount of straightforward statistical and ML/DL models of small data sets is located at 8GB. However, the GPU is undoubtedly too easy to do. You can also run any package/software for Data Analysis (R/MatLab/SAS, etc.).

ProcessorIntel Core i5 9300H
Storage256 PCIe SSD
Display15-inch Full HD
Battery LifeUp to 5 Hours

Does the question then become what can a limited data set be considered?

I think about something tiny, about 300k rows with 4 variables, each taking 300MB of space. Since windows themselves consume 2GB, 1GB background programs, 4.7G RAM is still left for you. It can handle around* 7000MB/300MB~20*300k rows=6000k rows with 4 variables. The most extensive data set this laptop can take.

The likelihood of a student or someone beginning with the data analysis finding this size in a data set is minimal. And if you ever learn how to use the cloud for faster processing.

You can still run Far large sets of data on a laptop like this, though, since you can also upgrade it to 16GB. All you need to update is to remove one screw.

What about far more extensive sets of data?

You can box in vast sets of data, but it will be processed much more slowly because your laptop uses your disk storage “as RAM.”

However, models like this will not be that slow in this case because they have a Solid State drive, and when your PC starts using it it it will be approximately five times faster than with a typical laptop with an HDD.

Finally, before resorting to cheaper or similar versions by other brands with the same CPU+RAM+SSD, please note that this laptop also comes with a late GPU middle range (GTX 1650) with w/a lot more CUDA cores than a laptop with 1050Ti/MX150/MX250, which, strangely enough, will cost you about the same).

If you want to begin with parallel processing tasks (which is an essential tool for the industry growing and expanding over many libraries), a model with dGPU like the 1650GTX becomes much more critical.

Lenovo IdeaPad 3 (Best Laptop for Data Analysis)

Lenovo IdeaPad 3 14

As most students are in classes and learn to code/use libraries for small samples, most do not even need Acer Nitro’s power. Portability and battery life are required. Classrooms… coffee bars… Both libraries take their sockets.

Although the price can mean, at first glance, that the machine is low (and most people do not know about Ryzen CPUs), this laptop has plenty of power to use Data Analysis / Learn libraries, etc. (not for medium to large data sets though).

ProcessorAMD Ryzen 3 3200U
Storage256GB SSD NVMe PCIe
Display15-inch Full HD
Battery LifeUp to 8 Hours

This is compact, portable, and pricey, but battery life is still awe-inspiring: ~10 hours. The downside is that there is no FHD resolution, which helps a lot if you want much room to work with (this allows you to get 2 windows open side by side: one for documentation and one for IDE/Visualize Data).

If you want an FHD model, you probably must spend $100 with one of the following options. But if you are looking for a laptop anywhere to lug and still feel like you only bring a book, you have to get a weighing 3lbs, and you don’t mind the lack of resolution, this is the least cost-effective AND quickest laptop with windows 10 Home.

Note: this laptop has no dedicated GPU for which parallel processing is limited to using the CPU 4 threads.

Apple 15″ MacBook Pro (Best Laptop for Scientists)

Apple MacBook Pro

Apple MacBook Pro, known for its smart interface and high performance, brings performance and portability to a new level. This laptop’s high-speed output makes it a perfect choice for technical jobs such as 3D modeling. It is excellent for applications such as IBM SPSS for the troublefree activity of data scientists! Naturally, data protection with Apple is the best! So if you deal with data that must be secure, it’s a fair purchase.

Processor2.9GHz quad-core Intel Core i7
Ram16GB 2133MHz LPDDR3
Storage512GB SSD 
Display15-inch Full HD
Battery LifeUp to 10 Hours

The transparency and brightness of the screen make it ideal for long hours with a pretty stunning show. The trackpad is fantastic too! It’s significant and very sensitive, making your work files easy to navigate. The battery life is also incredible. There is nothing Apple has done to give you a superior work experience.

The Touch Bar is a great addition, particularly for those who like peculiar things, who use Safari. It adds to the laptop’s aesthetics, helps you access some fast buttons, and serves as the key bar for functionality. A little heating problem can be faced on the laptop base for long hours while using it on the lap. Otherwise, the whole thing is good efficient!

The enhanced Intel Core i7 2,9 GHz quad-core processor with Turbo Boost up to 3,9GHz for higher speed, and Radeon Pro 560 with 4GB memory graphs make it quicker and also a good option for anyone who wants complexity and speed!

ASUS VivoBook (Best Laptops for Data Analysis)

ASUS VivoBook Pro 17 Thin and Portable Laptop

This sleek, lightweight laptop has all the great features to make it ideal for high-end work. The elegant style is another blow to the otherwise overall significant free congestion.

Processor7th Gen Intel Core i7-7700HQ quad-core 
Storage256GB M.2 SATA3 SSD + 1TB HDD
Display15-inch Full HD
Battery LifeUp to 7 Hours

The solid Intel Core i7-7700HQ 2.8GHz 7th generation makes the laptop booting speed very impressive. There is no flex on the keyboard, and the typing feels fine. The backlight is luminous and comes with three brightness toggles that allow you to set according to your needs. You can also update your internals, including the screen, according to your requirements.

The high PPI of the screen makes it a fantastic experience to play. It is bright and gives you no reflective problems both indoors and outdoors. The best part is that it does not really heat quickly due to its dual-fan thermal nature, and the fan noise isn’t too noisy either. The laptop is supplied with additional air intakes on the board, helping with thermal goods for an even better experience. The audio accredited by Harman/Kardon gives you excellent sound quality.

Overall, this small and lightweight gaming laptop makes it ideal for a smooth user experience and high-end tasks.

Asus ROG Strix Scar III (Best Laptop for Scientists)


The ASUS ROG Strix Scar III is the one to buy if you are an accomplished data scientist who seeks a powerful desktop replacement laptop to fit all of your different professional needs. It is a gaming computer, but this laptop can’t handle any program or tool.

Processor2.6GHz Intel Core i7-9750H
Storage1TB PCIe SSD
Display15.6-inch Full HD
Battery LifeUp to 6 Hours

The Asus ROG Strix Scar III has a powerful i7-9750H Intel Core chipset with turbo clock speeds up to 4.5GHz. In addition to the existing operating framework, the unique processor lets you install Linux Distros on your computer. Also, Asus packages in a potent NVidia GeForce RTX 2070 GPU, which lights up quickly and produces 8 VRAM gigs.

With RAM support, you have access to 16 GB of device memory, which further complements the processor. The 1TB PCIe SSD storage unit also contributes to the ultra-fast processing and rendering of information. Overclocking technology ROG Boost ensures the charm of high-end software such as SAP Lumira and PostgreSQL. Asus offers an out-of-the-box Windows 10 Home Version.

With a 15.6-inch display, the ROG Strix Scar III displays an impressive resolution of 1920 x 1080 pixels and the sharpest possible viewing angles. Based on the GPU, the unit achieves a 240Hz display refresh rate. The visual experience looks like the 80% screen to chassis ratio, and the IPS technology is unique.

The producer has added a powerful keyboard with curved keys, a backlight interface, fast actuating tabs, and N-key rollover technology. The computer also has a somewhat functional touchpad with the help of the ROG Keystone. The multi-dimensional key provides access to the Shadow Drive and enables gaming and working settings to be unblocked using a single touch.

This laptop is suitable for data scientists concerned about overheating. ROG has upgraded fans with an improved airflow of 17 percent. Also, the system has many operating modes, depending on the criticality of the tasks. As Asus introduces revolutionary self-cleaning technology, you don’t have to think about cleaning the device often.

Also, under the most challenging working conditions, the gadget is highly robust and resilient. The ROG Strix Scar III weighs only 5.97 pounds, which, while the device is packaged with several sustainable design features, still is manageable. Most notably, the average thickness is less than 1-inch, even with a broad feature set. You get USB Type C and 6 other active ports for port management.

The battery is somewhat underwhelming because you get just six hours of backup despite the smart cooling technology. In general, this is an incredibly efficient computer for a data scientist since it operates without problems in applications like Tableau and Terminal.

Razer Blade Pro 17 (Best Laptop for Data Analysis 2021)

Razer Blade 15 ( Best Laptop For AutoCAD )

Nothing overcomes the excitement of buying a laptop that is very powerful and feels like a metallic chassis. Moreover, the Razer Blade Pro 17 is a fantastic computer for the courtesy of a large monitor and a range of other practical features if you are in data science.

Processor2.6GHz Intel Core i7-9750H
Storage512GB SSD
Display17.3-inch Full HD
Battery LifeUp to 8 Hours

Data scientists’ processing power is exceptionally significant, and the Razer Blade Pro 17 is easily packed into a top-class Intel Core i7-9750H chipset. This SoC makes data modeling faster and also facilitates prototyping applications for data scripts, such as Anaconda.

This computer is a virtual powerhouse in the memory department with zero sacrifices. You get 16 RAM gigs that speed the process even faster. Also, the 512GB SSD storage unit is fast and upgradable to dual channels.

It means that additional storage units are more comfortable to pair, depending on specifications, through the empty M.2 slot. Windows 10 is the featured operating platform, but you can conveniently install the Linux Ubuntu OS to run Terminal apps.

The 17.3″ screen is a fantastic addition to the show for data analysts. In most cases, data scientists need extra screen space to work on several tablets or use several applications simultaneously. It is where the 1080p 17.3-inch screen is rescued. The finest bezels and a refresh rate of 144Hz are also included in other screen-specific specifications.

The new Razer Blade Pro 17 is built with a strong emphasis on a sensitive trackpad and a backlit and ergonomic keyboard. The featured keyboard also offers RGB lighting with over 12 current profiles. Other features include biometric face unlock protection, IR sensor, and compatibility with Windows Hello.

The CNC, a unibody aluminum chassis, improves the reliability of the chassis. Most significantly, even seasoned data scientists will enjoy challenging neural networking without worrying about overheating. The company develops steam chamber cooling technology that targets strenuous activities.

The brand provides the USB 3.2 and the Thunderbolt 3 ports, followed by several other slots, for networking and port management. Wireless and Bluetooth networking are both enviable for increased efficiency. The battery backup is just 8 hours, leaving much to be desired.

The Razer Blade Pro 17 is well suited to data sifters focusing on screen size, refreshment, and processing speed.

Lenovo ThinkPad X1 (Best Laptops for Data Analysis)


If a laptop lineup remains true to its spirit, Lenovo’s ThinkPad lineup is one. What is excellent in this lineup is that Lenovo is committed to continually improving new models every year, and the 7th generation X1 Carbon is a prime example of this.

ProcessorIntel i7 4 core CPU 4.6 GHz
Ram16GB DDR3
Storage512 GB SSD
Display14-inch Full HD
Battery LifeUp to 7 Hours

It is impressive to see how the brand has managed to bring such an outstanding performance to a reasonably smart chassis that weighs 4.6 pounds overall. If you are a student or a professional looking for one of the best laptops for data analysis with the highest quality and portability, this laptop cannot go wrong.

With its 1.8 GHz primary processing power, the Intel i7 4 core CPU makes it easy for you to work on complex data sets, organize them, run and create code and machine learning/deep learning models. If you need to drive these tasks more intensively, this CPU’s 4.6 GHz overclocking capacity does not let you down. Working in sync with the CPU is the Intel Integrated 620 Graphics for the laptop that efficiently performs graphics-intensive tasks.

Suppose you need to operate several times or continuously access multiple files and programs. In that case, the 16 GB DDR3 RAM on this laptop and 512 GB SSD storage allow for the continuous maintenance of fast speeds to cope easily with your diverse needs.

Compared to its predecessors, the 14-inch full HD monitor of the Lenovo ThinkPadX1 Carbon 7th generation looks very new. The thin bezels on both sides of the show open more viewing rooms in the 14-inch footprint.

Compared to many stylish laptops in the region of 14 inches, this model provides a classy desktop typing experience with an ergonomic keyboard with a healthy travel experience. The keyboard allows you to work on codes and data sets without breaking a sweat, along with the three trackpad keys. This model comes with a durable suite of external networking options, including two Thunderbolt 3 ports, two USB 3.1 type-A ports, an HDMI port, an ethernet port, and a combo jack a headphone/microphone.

Dell XPS 15 (Best Laptop for Data Science)

Dell XPS 15 7590

Dell XPS laptops have charted new generation computing directions for all laptops of the company. Dell’s integration of tasteful aesthetics with some of the best-in-class hardware setups in XPS models over the years has been incredibly successful. Dell XPS 15 might not be the best laptops for data analysis, but it is certainly one with its well-calibrated performance.

Processor9th Gen Intel Core i7-9750H
Storage512GB SSD
Display15.6-inch Full HD
Battery LifeUp to 10 Hours

The Dell XPS 15 is an Intel i7 6 core processor of the 9th generation. Combined with 4.5 GHz of overclocking capacity, CPU’s 12 threaded architecture helps to ensure that much of your data science work is done in an unforgiving way. The CPU is combined with NVIDIA GeForce GTX 1650 4GB DDR5 GPU, which ensures that the computer’s overall processing performance is not in short supply when it comes to graphical demands.

This laptop comprises 16 GB DDR4 RAM, enabling even the most intensive multitasking tasks to be completed quickly. Dell XPS 15 storage packages 1TB of SSD space to store all your essential data science work or learning materials.

Dell XPS 15’s design language is similar to that of MSI Prestige 15. In conjunction with a 4K resolution, the thin bezels have an immersive viewing experience at a footprint of 15.6 inches. The reactive touch of the show increases more usability. With two Thunderbolt 3 ports, one USB 3 Type-A port, one HDMI port, one SD card reader, and one headphone jack, this laptop provides additional connection possibilities.

Apple 13-inch MacBook Air (Best Laptop for Data Analysis)

Apple MacBook Air

The 13-inch MacBook Air is at the top of our list with its extremely flexible capabilities – Python downloads on one side and library files on the other are available to everyone – whether they’re researching in the data sciences environment or becoming more experienced practitioners.

ProcessorIntel Core i5 2.9GHz 
Storage256GB SSD
Display13-inch Full HD
Battery LifeUp to 13 Hours

Even though it’s user-friendly, one of the most beneficial things about the MacBook Air is that it doesn’t have to be too hard to feel UNIX about it, which means that both for data science work is relatively straightforward. It is reasonably easy to use as a data science computer.

This simple usability for data science makes the MacBook Air a computer one of the first choices for people at all stages of their data science career. Let’s review a few specs because they’re going to demonstrate the machine’s ability.

NB, it’s not the newest MacBook air – the more recent edition is slightly thinner but saddles you with a much shorter battery life, which can be a productivity murderer for more comprehensive data studies ventures.

Quick, efficient processing, at least heavy RAM lifting, and an excellent initial SSD are excellent.

The argument to be remembered about a lot of data science work is that it requires more and more remote working, piling up storage and other servers to scan and crunch heavier data.

By no means, a 13-inch screen is the biggest on the market, enabling the MacBook Air to flirt with the tablet size. But aside from the UNIX world and the simplicity with which data science operates on the computer, see the last two statistics.

This combination of 13 hours battery life and less than 3 pounds means that you can do what you need, run programs, environments, scenarios, and do it in a very compact package.

Are we concerned with RAM 8GB (expandable up to 16GB)? Depending on the scope of your study, maybe. But for the vast majority of modern data science, surely you should be OK with the RAM on the MacBook Air if you double the basic service.

If you notice, preferably, that you need more, or, ideally, that you need all the Air value, but with a maximum RAM of twice (32GB, no waiting!) on a MacBook Pro.

MSI GS66 Stealth 10SGS-036 (Best Laptops for Data Analysis)

MSI GS65 Stealth THIN-051

OK. So tell me you’re a professional data scientist. For smaller datasets, you’re done playing about. You are now on the Major Programs. And for some reason, you have sworn off your once-time dreams from the MacBook.

ProcessorIntel Core i7-10750H
Ram32GB DDR4
Storage512GB PCIe NVMe SSD
Display15-inch Full HD
Battery LifeUp to 7 Hours

Perhaps when you were a child, Steve Jobs ran over your puppy, and you swore that you never had anything to do with Apple. No judgment here. If all or most of that applies to you, the MSI GS66 Stealth probably will be available on the market.

The GS66 Stealth of MSI would be the winner of any conceptual reality show called Pimp The Ever-Loving Glory From My Gaming Laptop. It has specs up to 11 with the button ribbed. It has –holds on, let’s talk about the specs for a minute.

Get the picture? Picture? Control, processing, storage, and a MacBook Pro-level screen. It’s hardcore, from beginning to end. Your cooling systems allow you to get the most from your CPU and GPU, as the GPU is – think what? – super-powered because you see the potential to speed up any operation you want when you are operating on all cylinders, including parallel computing.

The tone you hear in the hearts of all the data scientists that you know are pitty-pat. It’s not science fiction computing necessarily, but it’s a severe data science computer.

So what’s our list doing so far?

Well, efficiency and strength like this are not nearly cheap for anything. A big chunk of change, rent, or mortgage payment will be dropped on this machine.

If the laptop itself were the best thing on the planet, it would be all right. But it weighs more than the typical house stone, and – since it is no typo, you may want to read it carefully – the battery life is 7 hour.

It is an assassin for many data scientists. So yeah, all the fun things are done. But the extent to which it operates like a laptop is smaller than most people can.

You also have many laptop-specific gaming features, which is perfect if you want a kickass gaming laptop. Yet, most data scientists shrug in because they don’t contribute much to their data science background.

The MSI is a perfect machine to run your data science. Never think of unplugging it from the wall.

Acer Predator Helios 300 (Best Laptop for Data Science)

Acer Predator Helios 300 Gaming Laptop PC

Acer laptops used to be known, not more, for their regular daily and everyday business use. Acer has created much noise in the international market regarding their new predator series. Acer predator helios 300 is for heavy use.

ProcessorIntel i7-10750H
Ram16GB Dual-Channel DDR4
Storage512GB NVMe SSD
Display15.6-inch Full HD
Battery LifeUp to 7 Hours

It comes with robust hardware inside and a revised exterior design, a preferred choice for most data scientists professionals. We’ll quickly be up to date with your setup – Intel Core i7 clock speed up to 4.5 GHz 9th Generation, 16 GB DDR4 RAM, NVIDIA GTX 1660 Ti 6GB DDR6 display card, PCIe NVMe 256GB Ultrafast SSD with two upgrade slots, 15.6-inch FHD Widescreen IPS Display, and Backlit Keyboard.

One more HDD, and you’re all set to make your dreams come true. You will have plenty of choices in ports. It also has a 4th Gen All Metal AeroBlade 3D Fan to cool faster. If you are a data scientist with a passion for gaming, this is the best package for you.

Microsoft Surface Laptop 2 (Best Laptop for Data Analysis 2021)

Microsoft Surface Pro 6

Some of our skilled data scientists are not interested in multimedia use. Nevertheless, they demand quick, better, and better performance while working and great portability while traveling worldwide.

ProcessorIntel Core i5
Storage256GB SSD
Display13.5-inch Full HD
Battery LifeUp to 7 Hours

Microsoft considered this case and developed the best laptop to solve the Microsoft Surface Laptop 2 problem statement. You can also rely on this device for all your requirements if you belong to the same category. Surface Laptop 2 features an elegant, attractive design and powerful hardware to meet all your needs.

16 GB of RAM with Intel UHD Graphics 620 for ultimate 13.5-inch graphics with a native resolution of up to 2256X1504 pixels. PixelSense display. This monitor supports SurfacePen and 10 finger multitouch to make your job more comfortable if you cannot use the keyboard.

The laptop has a battery life that is quite good for professionals and in power cuts. It also includes 1 USB 3.0 port, 3.5 mm headphone jack, mini display port, 1 Surface Connectivity port. Surface Laptop 2 has a 720p HD camera, stereo microphones, and Dolby Audio Omnisonic Speakers & Surface Laptop 2 is, without a doubt, one of the most promising players on our list.

Laptops For Data Science Buyers Guide

If you buy the best laptops for data analysis, there are a couple of things to keep in mind.

Process this!

Data technology is the…data processing science—no computer with a low-powered processor in any circumstances.

Yeah, a lot of modern data science is performed on cloud and remote servers, but you want a computer to manage your job without overloading details.

Wars of Storage

Although many modern data sciences make the most cloud storage, gain as much storage space on your computer as possible.

It is also the 21st century, so that SSD can go as far as possible. After all, you want a computer that is as forward-looking as possible.

Juice me!

It is a combination of lightness, strength, portability… and battery that you need to use a laptop. If you have a laptop with a battery that wants to die badly, you might also use a desktop.

Because of all the great things it does while it still sits, we allowed an MSI laptop to match this definition in our list.

But generally speaking, check your laptop’s battery life so that you can actually unplug your data science for a reasonable time.


The above list contains the best laptops for data analysis available on the market these days. These laptops have a multifaceted personality with some fantastic specifications & you can take advantage of these activities for countless other activities, such as fast surfing, sports, video chatting, and various data science applications.

As an advanced technology sector, data science requires laptops with agile functions – make sure you choose the one which meets your needs and runs along a long mile!

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