Best Laptop for Data Scientists in 2022

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Everyone knows that practicing data science is crucial for professionals to stay up-to-date with the latest techniques and tools.

But not everyone is aware of the fact that what data scientists use to practice their craft has evolved tremendously in recent years. The wrong hardware can make it almost impossible for a data scientist to perform today’s most common tasks.

Choosing a laptop for handling data science can be tricky. You need a high-powered laptop with the latest tech and enough RAM to handle demanding projects.

There are many different models out there, each with its own unique set of specifications. I’ve listed top laptops, Moreover, there are some factors every data scientist should think about before deciding on a laptop.

Our Top Picks for 2022

EDITOR’S CHOICE
Asus ROG Strix Scar III
Asus ROG Strix Scar III
 
9.7
  • RAM: 16GB DDR4
  • Storage: 1TB PCIe Nvme SSD
  • Battery Life: 06 Hours
  • Processor: ‎‎‎4.5 GHz apple_ci7
  • Weight: ‎‎5.67 pounds 
PREMIUM PICK
Razer Blade Pro 17
Razer Blade Pro 17
 
9.3
  • RAM: 16GB
  • Storage: 512GB SSD
  • Battery Life: 07 Hours Plus
  • Processor: ‎‎‎4.6 GHz core_i7_family
  • Weight: ‎‎‎2.84 pounds 
BUDGET PICK
New Apple MacBook Pro
Apple MacBook Pro 13″
 
8.5
  • RAM: 16GB
  • Storage: 512GB SSD Storage
  • Battery Life: 16+ Hours
  • Processor: ‎Tenth-gen quad-core Intel Core i5 processor
  • Weight: ‎3.1 pounds 

Top 10 Laptops For Data Scientists In 2022

  1. Asus ROG Strix Scar III (2019)
  2. Razer Blade Pro 17
  3. Apple 13″ MacBook Air
  4. MSI GS66 Stealth 10SGS-036 15.6
  5. Huawei MateBook X Pro Signature Edition
  6. Asus VivoBook S15 S512 Thin and Light
  7. Acer Swift 3 Thin & Light Laptop
  8. CUK MSI GF65 Thin Gaming Laptop
  9. 2020 Newest Acer Aspire 5 15.6″ FHD 1080P Laptop 
  10. Newest Lenovo Ideapad L340
IMAGE PRODUCT FEATURES PRICE
BUDGET PICK
Asus ROG Strix Scar III
Asus ROG Strix Scar III
  • OS: ‎Windows 10 Home
  • Brand: ‎ASUS
  • Screen Size: ‎15.6 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
Check on Amazon
Best Seller
Razer Blade Pro 17
Razer Blade Pro 17
  • OS: ‎Windows 10 
  • Brand: ‎Razer
  • Screen Size: ‎17.3 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
Check on Amazon
TOP CHOICE
New Apple MacBook Pro
Apple MacBook Pro
  • OS: ‎Mac OS
  • Brand: ‎Apple
  • Screen Size: ‎13.3 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixelss
Check on Amazon
Best Seller
 MSI GS66 Stealth 10SGS-036
MSI GS66 Stealth
  • OS: ‎Windows 10 Home
  • Brand: ‎MSI
  • Screen Size: ‎15-15.99 inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
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Amazon’s Choice
Huawei MateBook X Pro
Huawei MateBook X Pro
  • OS: ‎Windows 10 Home
  • Brand: ‎HUAWEI
  • Screen Size: ‎13.9 Inches
  • Max Screen Resolution: ‎3000 X 2000 Pixels
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BUDGET PICK
Asus VivoBook S15
ASUS VivoBook S15
  • OS: ‎Windows 10 Home
  • Brand: ‎ASUS
  • Screen Size: ‎15.6 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
Check on Amazon
Best Seller
Acer Switch 7
Acer Swift 3
  • OS: ‎Windows 10 Home
  • Brand: ‎ACER
  • Screen Size: ‎14 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
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Best Seller
CUK MSI GF65
CUK MSI GF65
  • OS: ‎Windows 10 Home
  • Brand: ‎Computer Upgrade King
  • Screen Size: ‎15.6 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
Check on Amazon
Amazon’s Choice
Acer Aspire 5
Acer Aspire 5
  • OS: ‎Windows 10 
  • Brand: ‎Acer
  • Screen Size: ‎15.6 Inches
  • Max Screen Resolution: ‎1920 x 1080 Pixels
Check on Amazon

Asus ROG Strix Scar III

No 1
Asus ROG Strix Scar III

Asus ROG Strix Scar III

Specifications:
  • RAM: 16GB DDR4
  • Storage: 1TB PCIe Nvme SSD
  • Battery Life: 06 Hours
  • Processor: ‎‎‎4.5 GHz apple_ci7
  • Weight: ‎‎5.67 pounds (2.84kg)

As a professional data scientist, you might be searching for the best and most powerful laptop for data scientists out there. Asus ROG STRIX SCAR III is the best laptop for data scientists.

Since this laptop is designed for gaming, there is little issue with its ability to handle applications so this is a good laptop to purchase.

Featuring a powerful Intel Core i7 CPU, it can be clocked up to 4.5 GHz under turbo mode. As for the graphics, Asus puts an NVidia GeForce GTX 2070 GPU inside, which is fast and provides 8 GB of VRAM as well.

The 16GB of memory supports the processor further, which gives you access to additional processing power. Additionally, the SSD storage unit with 1TB provides ultra-fast data processing and rendering.

The user-friendly environment with easy customization options provided by Windows 10 Home from Asus will be a great draw for this product.

Featuring a 15.6-inch screen with a resolution of 1920*1080 pixels and viewing angles that are as sharp as possible, the display on the ROG Strix Scar III is exceptional. There is also a 240Hz refresh rate on the display.

Even though these laptops provide extra functionality and speed, the power consumption is still low. In other words, this laptop is ideally suited to data scientists who are concerned about overheating. The self-cleaning technology makes it even more desirable.

You will get Type-C USB ports as well as three Type-A USB 3.0 ports and a headphone jack on the left side of the system, as well as a DisplayPort 1.4 port, an HDMI 2.0B port, and an RJ45 port on the right.

Only 6 hours of battery backup is somewhat underwhelming, even with intelligent cooling. No doubt this laptop is expensive but it is the best laptop for data scientists.

Buyers Guide

According to our experience, this laptop is best for you. You will get extraordinary performance from this laptop, it is the best choice for you. It runs applications such as Tableau, Anaconda, and Terminal without any issues, making it an excellent laptop for a data scientist.

Reviewers Liked
  • A responsive keyboard
  • Speaker with good manners
  • Performance optimization of CPUs
  • Outstanding RAM performance
Reviewers Didn’t Like
  • Thunderbolt 3 is not available

Razer Blade Pro 17

No 2
Razer Blade Pro 17

Razer Blade Pro 17

Specifications:
  • RAM: 16GB
  • Storage: 512GB SSD
  • Battery Life: 07 Hours Plus
  • Processor: ‎‎‎4.6 GHz core_i7_family
  • Weight: ‎‎‎2.84 pounds 

Razer Blade Pro 17 is the ideal device if you are working in the data science field; its large display and a range of other features make it a great choice.

This laptop has amazing and astonishing features, that we discussed below: all these features described on experienced-based from us and customers. 

A powerful Intel i7 processor makes the Razer Blade Pro 17 perfect for data scientists. Hence, data modeling can be done faster and even heavy applications like Anaconda can be supported.

In addition, the GeForce GTX 2060 GPU comes with 6 GB of effective Video RAM, making it an ideal choice for deep learning and analysis. CPU is the main part of the laptop so, it must be good from each and every angle.

All hardware features, including memory, were not compromised in the creation of this device. Furthermore, it has 16GB of RAM, which boosts its processor even more. Additionally, the SSD storage unit offers 512GB of speed.

The operating system is Windows 10 through running terminal applications on Linux Ubuntu can also be done easily. Due to the fact that LINUX was designed specifically for terminal applications.

Since data scientists mainly work with spreadsheets, they require a device with a 17.3 inches display so that they can work on the diverse worksheets.

I believe a 17.3-inch 1080p panel will be more than adequate for the task at hand. Besides thin bezels and a 144Hz refresh rate, the screen has all the other specifications you might expect.

The device offers exceptional performance in terms of connectivity and port management, with USB 3.2 and Thunderbolt 3 ports in addition to Wireless and Bluetooth capabilities.

Considering the battery backup is only eight hours, there is definitely room for improvement. I find it to be an exceptional device that can be used by both students and professionals trying to develop their skills in data science. If you like this laptop then you will also like Best Laptops for English Majors.

Buyers Guide

According to our experience, this laptop has also many features like the above one, You will be never disappointed after purchasing this laptop because 16 GB DDR4 provides you an astonishing performance. This laptop has a low price as compared to the above laptop, if you don’t want to spend too much money then this best laptop for data scientists. 

Reviewers Liked
  • A sleek and slim design
  • The processor is highly efficient and powerful
  • The responsive processor
  • Transferring data quickly
Reviewers Didn’t Like
  • Expensive 

Apple MacBook Pro 13″

No 3
New Apple MacBook Pro

Apple MacBook Pro 13″

Specifications:
  • RAM: 16GB
  • Storage: 512GB SSD Storage
  • Battery Life: 16+ Hours
  • Processor: ‎Tenth-gen quad-core Intel Core i5 processor
  • Weight: ‎3.1 pounds 

You should choose Apple 13 MacBook Air if you’re looking for a laptop that fits into the mid-range laptop range. Data science novices will love this laptop, but pros may be disappointed by its lackluster performance.

With this device, you will find an Intel Core i5 processor that can operate up to 3.9GHz. In addition, the integrated Iris plus 645 GPU provides good performance, but it does not hold up well against data modeling for graphics-intensive applications

A 13-inch MacBook Air from Apple comes with 8 GB of RAM. This is quite handy for data processing and modifying. Further, the 512GB SSD unit renders data at least forty times faster than a conventional hard drive.

By using the boot camp functionality, it is still able to run Mac OS X despite having a Mac OS X base. With Mac OS, this will provide an unprecedented level of security.

With regards to the display, a bright 13.3-inch screen with the technology of retina display and a resolution of 2560 x 1600 pixels will be more than capable of providing extra vivid images with wide viewing angles.

With this system, you can work uninterrupted for 10 hours with its battery backup. The device is nearly ideal for students, as well as professionals, studying data science. This device offers a multitude of ports including two USB Type-C ports and more such as Native DisplayPort, Native VGA, HDMI, and Thunderbolt 2 outputs via adapters.

It is made of aluminum and measures 15.6mm thick, which gives it the appearance of being extremely sleek. For data science, the weight of the device is around 3.2 pounds, which makes it rather handy. This is another amazing best laptop for data scientists. 

Buyers Guide

Because this laptop is lighter but extra efficient, it is without a doubt one of the top laptops for data scientists. From all perspectives, this laptop is perfect for data science because of its high CPU performance, long battery life, and small weight.

Reviewers Liked
  • A scissor-switch is a traditional switch
  • More space for the trackpad
  • Several color options are available
  • Unmatched CPU performance
Reviewers Didn’t Like
  • Expensive
  • Webcam quality is poor

MSI GS66 Stealth

No 4
 MSI GS66 Stealth 10SGS-036

MSI GS66 Stealth

Specifications:
  • RAM: 32GB (16G*2)DDR4
  • Storage: 512GB NVMe SSD
  • Battery Life: 08 Hours
  • Processor: ‎Intel Core i7-10750H RTX 2080
  • Weight: ‎4.63 pounds 

Despite being designed primarily for gaming purposes, this laptop is fully equipped for data science applications. It is therefore worth buying this device if you are a data science expert. There are 512 gigabytes of SSD storage and 32 gigabytes of memory, which is quite enough to support all kinds of heavy software, such as Anaconda for example, and the rest of the same line for data manipulation.

As the 2.6 GHz Core i7 processor is paired with an Nvidia GeForce GTX 2060 GPU with 6 GB of VRAM, the unit can communicate data faster between internal components by allowing high bandwidth.

In spite of its 15.6-inch display, the laptop is powered by a 1920 x 1080 resolution and a refresh rate of 144 Hz. As a result, images are bright, crisp, and have a wide viewing angle. The display is great since it eliminates glare, but the color quality can be inconsistent.

Even with it being slimy, the Surface Book comes with a multitude of ports like a USB Gen 3.2 Type-C port, USB 3.1 Type-A port, an Ethernet port, headset jack, Thunderbolt 3 port, full HDMI port, and an AC plug.

Though it is only 4.6 pounds, nothing has been compromised when it comes to quality or size, even when it has been slenderized. As compared to the rest of the hardware features, the battery life is below average, but still can be improved by making some adjustments

Buyers Guide

Overall, the MSI GS 66 offers a serious and top-of-the-line data analysis and manipulation experience. Therefore, due to its lightweight and ultra-thin chassis, this laptop is a good choice for data scientists as well.

Reviewers Liked
  • SSD with agile deployment
  • It is light-weight
  • A powerful graphics package
  • Batteries that last long
Reviewers Didn’t Like
  • Expensive
  • The sound quality is poor

Huawei MateBook X Pro

No 5
Huawei MateBook X Pro

Huawei Mate Book X Pro

Specifications:
  • RAM: 16GB
  • Storage: 512GB SSD
  • Battery Life: 09 Hours
  • Processor: ‎1.8 GHz
  • Weight: ‎‎2.93 pounds  

Matebook series has drawn attention due to its outstanding design. There are not many laptops produced by the company. In addition to being well designed, portable, and long-lasting, the ones they manufacture stand out from others. The following are a few basic and important specifications of Huawei MateBook X Pro Signature Edition that will definitely help data scientists

Intel’s 8th Generation Core i7-8565U processor meets the highest requirements for doing high-speed data processing and is powered by Intel HD Graphics 620, making it easy to use our Anaconda platform to process data models more quickly.

The screen ratio is 91% and the screen size is 13.9 inches. It comes with a 3000 x 2000 resolution, making it ideal for viewing. The angles are quite vivid and sharp.

Unlike the Huawei MateBook X, Windows 10 Home comes installed on the Huawei MateBook X, making it capable of operating on less memory. With options such as USB Type-C, Headphones, Thunderbolt 3, and USB 3.0, it’s perfect for data scientists. Furthermore, it has a battery life of nine hours and fifty minutes, which is quite adequate to be more productive for a data scientist.

There is storage included, allowing for freedom of movement for data scientists. The Laptop is equipped with 16 GB of RAM and 512 GB of SSD storage for fast data processing and communication. Additionally, since SSDs are based on solid-state drives, users can expect a fast and efficient processing system

Due to its slimness, it is quite handy for data scientists, as it is quite portable and can be taken anywhere. It weighs 2.93 pounds, making it very portable.

Buyers Guide

This MacBook Pro still has all the features of the MacBook, yet it is more affordable than the MacBook Pro. This laptop hits the sweet spot between power, portability, and price.

Reviewers Liked
  • The design is absolutely gorgeous
  • Batteries that last a long time
  • Astonishing 32 GB SSD and 16*2 RAM DDR4
  • Vivid and bright display
Reviewers Didn’t Like
  • The CPU is unable to sustain its turbo speed

Asus VivoBook S15

No 6
Asus VivoBook S15

DELL XPS 13 9380

Specifications:
  • RAM: 8GB
  • Storage: 512GB SSD
  • Battery Life: 8 Hours 20 Minutes
  • Processor: ‎‎4.2 GHz apple_ci5
  • Weight: ‎3.97 pounds 

Other laptops in the same price range cannot match ASUS Vivobook s15’s size, features, and shape. Aside from being a bit different from the average laptop, it has numerous features that make it worthwhile.

There is a 15.6-inch display with a combination of 1080p resolution on the Vivobook S15. This is unfortunate because the slim bezels of the S15 are an effective tool for highlighting that large display.

With the Kaby Lake Core i7-7500U CPU coupled with the Nvidia GTX 940MX 2 GB GDDR5 GPU, it will both process data quickly and efficiently and will run smoothly in harsh conditions as well.

One of its most magical features is its dual storage, which comes with a 128GB SSD plus a 500GB HDD providing ample storage space to handle huge files, without transferring them to cloud services. In addition, it features 8GB of DDR4 memory for multitasking Adequate high-bandwidth RAM for running multiple applications and web browsing at the same time

This laptop comes with Windows 10 thus giving free hand to data scientists to customize the desktop environment according to their desire and need.

There is very little weight to be concerned about when bringing it to offsite locations to perform computations and processing on large amounts of data.

With a reversible USB Type C port, HDMI port, a microSD card reader, and USB 2.0 and 3.1 ports, the Vivobook S15 can be connected to most peripheral devices, displays, and projects without any problems.

Although most computations are performed on the screen and do not use the battery, the laptop has an 8-hour battery life, which should be sufficient for most off-site applications that researchers have to do from the office; sometimes they have to carry their laptops offsite.

Buyers Guide

In addition to unique colors and an innovative design, ASUS Vivobook S15 is a good color display device. There is no doubt that this is the best laptop for data science if its battery life is good.

Although it is not the best choice for data science, it is one of the best if one can negotiate its battery factor.

Reviewers Liked
  • An affordable price
  • An excellent performance
  • Constructed with sturdy materials
  • 8 GB RAM that’s meet requirement level
Reviewers Didn’t Like
  • IPS panel with a washed-out appearance

Acer Swift 3

No 7
Acer Switch 7

Acer Swift 3

Specifications:
  • RAM: 8GB
  • Storage: 512GB SSD
  • Battery Life: 06 Hours
  • Processor: ‎4.1 GHz ryzen_7_4700u
  • Weight: ‎‎2.65 pounds 

AMD’s Ryzen 4000 processor powers the Acer Swift 3. There is no comparison between these AMD processors and the Intel CPUs that dominate the market today. The 14-inch Swift 3 isn’t simply amazing just because it has an extra-efficient processor. Let’s begin by finding out what else there is to know.

In the data science field, in which data science professionals deal with the bulk of data daily, Acer Swift comes with a Ryzen 4000 processor that provides highly efficient processing of data. Because of this, the CPU performance is unimaginably good.

SSD drives offer 512 GB of storage, while DDR4 RAM offers 8 GB of memory. This combo is quite sufficient to handle heavy data science software.

As a result of the bigger screen, the HD display with more vibrant colors and a wider viewing angle is more spacious. Also, the resolution value is 1920×1080, which may not be the best on the market, but is sufficient for most purposes for which data scientists are responsible.

With this laptop, data scientists will have full control over their desktop environment, allowing them to customize it the way they want.

Despite weighing mere 2.65 pounds, it feels highly portable without being fragile. There is also an HDMI port, headphone/mic jack, USB 2.0, USB 3.0, and a USB-C Thunderbolt 3 port, but there is no SD card reader.

A modest battery saver profile and balanced power profile allow the system to run for up to eight hours, which is almost the time it takes for an average system to charge.

Buyers Guide

Acer Swift 3 is the latest Ultrabook if you need to do data manipulation work, thin design, strong battery life, and decent battery life make it a terrific laptop for data scientists.

Reviewers Liked
  • This laptop is affordable
  • Low Temperature
  • Good Performance
  •  Weight is low 
Reviewers Didn’t Like
  • Expandable memory is not available

CUK MSI GF65

No 8
CUK MSI GF65

CUK MSI GF65

Specifications:
  • RAM: 32GB
  • Storage: 2TB NVMe SSD
  • Battery Life: 06 Hours
  • Processor: ‎2.6 GHz core_i7
  • Weight: ‎‎4.1 pounds

CUK MSI GF65 thin’s technical specifications demonstrate it is a capable Laptop capable of doing a great deal of heavy computational work that is related to data science more easily than an average system.

The laptop has a display measuring 15.6 inches and a resolution of 1920*1080, presenting images that are vibrant and sharp. CUK MSI GF65 Thin Gaming Laptop is an excellent laptop for data scientists since most of them have to work with spreadsheets software. So they have to consider it if they need more workspace to work on the various spreadsheets.

In addition to the Intel Core i7-9750H Processor, NVIDIA GeForce GTX 1660 graphics chip is not only adequate to handle the heaviest software used in the data science field but can also perform video and photo editing as well as other daily tasks with ease.

Among its greatest features is its primary memory which is 32 gigabytes, making it powerful enough to handle most data science tasks including computation, analysis, and can do larger spreadsheets.

With 32 GB of RAM, as well as 2 TB of NVMe SSD storage, there is plenty of space to store not only scientific data, but also data, documents, and other information instead of storing them in the cloud. It has only a few ports, which are 2 USB 2.0 ports, 2 Type-A USB 2.0 ports, one 3.5 mm combo jack, and one HDMI port. With 4.1 pounds, this laptop is not too heavy to carry around. It comes with Windows 10 on an entry-level model.

If we use the laptop for the whole day continuously, we can expect the battery to last about 6 hours on a full charge, but if heavy software is used continuously, it will last no more than 2 hours, which is seriously the laptop’s worst performance.

Buyers Guide

Overall CUK MSI GF65 Thin Gaming Laptop can be one of the best laptops for data scientists as being rich in features it can assist data scientists to use most of the heavy software and to be more productive. If a data scientist has to work from the office then this laptop can be only and top the best laptop for data science as this laptop is highly specified except for the battery.

Reviewers Liked
  • Sharp and elegant design
  • High quality 180-degree angle display
  • Stunning RAM that is 32GB
  • Portable build
Reviewers Didn’t Like
  • Battery life is not so good

Acer Aspire 5

No 9
Acer Aspire 5

Acer Aspire 5

Specifications:
  • RAM: 8GB
  • Storage: 128GB SSD
  • Battery Life: 8 Hours
  • Processor: ‎‎3.5 GHz
  • Weight: ‎‎4.19 pounds

This 2020 Newest Acer Aspire 5 15.6′′ FHD 1080P Laptop is the ideal notebook for professional data scientists looking for the best performance.

The laptop has been built specifically for gaming, so if you are looking for a laptop to play games, then this is the one to buy.

In its modest battery saver mode, it offers 6 hours of runtime, but it also offers a full 8 hours of runtime using a balanced power profile, which is almost the battery life of any device.

Data scientists will benefit from Razer Blade Pro 17’s Intel i5 processor, which offers a processing power of nearly twice that of the MacBook Pro. It also supports heavy applications with Anaconda, which allows for faster data modeling.

Among the many other capabilities it possesses, 8 gigabytes of RAM gives the device a lot of power while handling many data-related tasks including computation, analysis, and even handling some large spreadsheet tasks.

An 8-gigabyte RAM system equipped with a 256 GB SSD will provide additional storage space not only for data science data but also for other data and files, rather than storing them in the cloud.

As far as the display is concerned, a 15-inch screen with a 1080p resolution and retina display technology will deliver extra vivid, wide viewing angles and extra vibrant images.

Due to its slimness, it is quite handy as a data scientist tool due to its lightweight and ability to be carried around anywhere. Its 3.7 pounds make it very portable.

Buyers Guide

As a result of its bright, 1080 display and other features, the Acer Aspire 5 boasts a strong laptop with long battery life. What is best of all is its affordable price.

Reviewers Liked
  • Battery life is amazing and long-lasting
  • Very affordable and under budget 
  • Stunning and sharp display
  • RAM performance is awesome while running heavy software
Reviewers Didn’t Like
  • Middle Graphics

BUYING GUIDE

Now you’re probably wondering why I’m so enthusiastic about this laptop. Don’t worry, I’ll get to it. But first, let’s talk about the two main factors that drive people to purchase a laptop. The first is functionality (i.e. processing power, memory, etc.), and the second is portability. 

These are two fundamental components that determine how well your computer performs and how well you feel about carrying it around. 

RAM

To speed up your work, you need an ideal RAM of 16 GB. Don’t settle for less! If you’re a good budget you can go for 32GB RAM. 

Display & Keyboard

You would be interacting with the screen all day. At least 16 inches screen with higher resolution. 

The keyboard must contain alphabetic and numeric keys. As a data scientist, you must be calculating statistical numerics that’s why you need a numerical keyboard.  

Frequently Asked Question

Are Gaming laptops sufficient for Data Scientists?

For the data scientist, the processing speed of the laptop is based on the work or task they perform. For example, to build the model by using statistical libraries like Keras and TensorFlow, just the RAM chunk is the only need, delivering the device a place for the powerful processors.

What are the most important aspects to look for in a laptop for a professional data scientist?

At the initiation, the professional look for loads of RAM, because the dataset processing went directly to the memory, and once the size increases the processing of the RAM become slow. 

Another aspect is the adjustable SSD storage, generally to lessen the time of access. Some of the aspects which are considered are the base, turbo clocking frequencies, and the speed of the processor.

Which laptop is best for data scientists?

 Different types of laptops are available in the market with different characteristics that’s why the exact answer to the question is tough but the laptop which is commonly accepted best for data scientists is:

Asus VivoBook S15 S512, Acer Swift 3, CUK MSI GF65, 2020 Newest Acer Aspire 5, and Newest Lenovo Ideapad L340 are the best contenders among all.  

How much RAM does a data scientist need?

The ideal RAM size for the data scientist on the computer is 8 to 16 Because they need excellent computing power, that’s why these two are the best options 8 GB is enough for the analysis work but machine learning 16 GB is the best option due to its sufficient memory.

Which laptop is best for artificial intelligence and data science?

When someone went to buy laptops, they need to consider a lot of things, and the laptop for artificial intelligence and data science has a lot of requirements. Some of the laptop’s options that are considered best are listed in the following:

  • Asus ROG Strix Scar III (2019)
  • Razer Blade Pro 17
  • Apple 13″ MacBook Air
  • MSI GS66 Stealth 10SGS-036 15.6
  • Huawei MateBook X Pro Signature Edition

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