Best Laptops For Data Science

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By Michael
Last updated: July 17, 2021
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Data Science is a major growing field of Computer Science. However, many non-technical people might not understand what data science is. Data science is a study in which programming skills, mathematics, statistics, domain experts are combined to extract valuable insights from data. These insights help identify business opportunities.

The principle behind data science is machine learning. Different applications take your data; just like you search for something on google on your mobile, you’ll start seeing those ads on your social media platforms. All these recommendations, predictions, and other AI systems work on machine learning and data science principles because just saving data is not enough; that data has to be analyzed for some recommendations or predictions.

In a survey conducted by Statista in 2019, around 71% of respondents from research and development departments told that they have already deployed data science and machine learning. Due to the increasing use of data science, the demand for data scientists is also increasing.

According to a survey, the demand for data scientists will be increased by 50% in the next ten years. Due to the increasing demands and complicated problems, data scientists require high processing computing machines or laptops. In this article, you can find some of the best laptops for data science.

Requirements For A Laptop For Data Science:

Do you search the internet or ask others for data science laptop requirements? Don’t worry now, as here you can find the requirements for a laptop for data science, remember that traditional laptops are not perfect for data science and machine learning tasks.

1) Requirement 1:  The Processor:
 

Processor is one of the main things in any computer. The faster the processor, the faster you’ll get the results. So when buying a laptop for data science, always consider the laptops that have the latest processors. These days Intel 11th generation and AMD 5th generation processors are coming, so better choose those.

Other than that, you can consider laptops till 8th generation intel processors or 3rd generation AMD processors; laptops before these generations shall not work perfectly for data science tasks.

2) Requirement 2: Cores and Threads:
 

Cores and Threads are the most important requirement that many people don’t consider. They don’t check the no of cores and threads of the processor since machine learning requires parallel computations; therefore, you can assign a high number of cores to a specific program for faster processing.

It would be best if you look for 4 cores and 8 threads processor or beyond that.

3) Requirement 3: RAM size:
 

Although RAM does not affect the speed of your computer, but more RAM allows you to do multitasking. 4 GB RAMS are not recommended since the latest OS, like windows 10 or windows 11, takes about 3 GB of RAM.

You should consider a laptop with a RAM of 12 GB or higher because you might also work on virtual OS. The type of RAM shall also be considered, don’t go for DDR-3 RAM laptops these days; select a laptop that comes with DDR4 RAM since it has a speed of 3200Mhz as compared to DDR-3 that has a speed of 1600Mhz only.

4) Requirement 4: Memory Type And Size:
 

Even if you have a core i7 laptop with good RAM, it will still be slow because of HDD (Hard Disk Drive). HDDs are not much used now and are replaced by SSDs, which are faster. Solid-state drives or SSDs use flash-based memory and have low reading and writing times. Therefore, having an SSD is an essential requirement for data science tasks.

However, choosing a 1TB SSD will cost you higher since they are much more expensive than HDDs; therefore, you can opt for the one that suits your budget, but don’t go for less than 256GB.
 

5) Requirement 5: Graphics Card (GPU):
 

Deep learning tasks now need a graphic card to process the data fast. Like the TensorFlow deep learning library can only be compiled on an NVIDIA graphics card. A GPU has more than 100 cores than a standard CPU with only 4 to 8 cores. Therefore, a Graphic card of at least 4GB shall be used for data science tasks.

These are some of the basic data science laptop requirements; other than these you shall also consider the laptop brand, keyboard type, Operating System, and display size.

What Laptops Are Best For Data Science?

Below you can find some of the best laptops for data science:

1) ASUS ROG Strix G15 Gaming Laptop:
 

This Asus Rog Strix G15 laptop is a beast; it is a gaming device and can handle all tools and applications of data science. This laptop comes with a powerful core i7-10750H Intel processor and has a clock speed of 5Ghz. It also has Nvidia GeForce RTX 2070 GUPU installed.

The 1TB SSD storage makes the processing ultra-fast along with its 16GB DDR4 memory. The laptop features a 15.6-inch screen along with a 240Hz refresh rate. For better use, ASUS has added a quality keyboard with curved keycaps and backlit. The device weighs around 5.28 pounds which is a bit heavy, but still, you can carry it considering the specs.

Best laptops for data science

Advantages:
 

  • Turbo Performance.
  • High-quality display
  • Heavy SSD
  • Classical Keyboard

 

Disadvantages:
 

  • Heavier in weight.
  • Overheats sometimes

 

2) MSI P65 Creator:
 

This MSI laptop comes with a stunning 4K display. It allows you to handle all your tools like TensorFlow seamlessly because of its powerful Intel Core i7-9750H processor. The laptop also comes with a 6GB Nvidia GeForce RTX 2060 graphics card.

This laptop allows you to do multitasking because of its 32GB DDR4 RAM, the operations completed at ultra-fast speed because of a 1TB SSD. In addition, the 15.6 inches 4K display allows you to have stunning displays from all angles.

The laptop is equipped with a fingerprint sensor on the touchpad and has a comfortable keyboard; however, the keyboard doesn’t come with a separate numeric pad. It is indeed, one of the best laptops for data science.

data science laptop requirements

Advantages:
 

  • Ultra-fast memory and processor
  • Fingerprint reader
  • 15.6-inches screen with 4K display
  • Up to 8-hours battery backup

 

Disadvantages:
 

  • No separate numeric pad on the keyboard
  • Price quite high
  • Audio Quality not good
     

Also, shop for other best MSI laptops through MSI laptops coupons.
 

3) Acer Predator Helios 300:
 

There’s no data science task or tool that this Acer Predator Helios 300 laptop can’t handle. It comes with a powerful Intel Core i7-10750H processor with a turbo clock speed of up to 5Ghz. In addition, it has a 6GB Nvidia GeForce RTX 3060 GPU along with 15.6 inches HD display and a refresh rate of 144Hz.

The 16GB DDR4 RAM allows you to do multitasking smoothly, and the 512GB NVme SSD makes the laptop ultra-fast. The keyboard has comfortable keys along with RGB backlit.

what laptops are best for data science

Advantages:
 

  • Comfortable Keyboard
  • 512 GB NVme SSD
  • HD graphics

 

Disadvantages:
 

  • Short battery life
  • The sound system is not good

 

4) HP Pavilion Gaming 16 Laptop:
 

This powerful HP laptop features an Intel core i7-10750H processor with a turbo clock speed 5Ghz. It also has a powerful Nvidia GTX 1660 Ti GPU and is one of the best laptops for data science.

The 512GB SSD and 16GB DDR4 allows you to do multitasking smoothly. The laptop has a 16.1-inches HD IPS display with a 60Hz refresh rate. It is lightweight and thin and has a smooth backlit keyboard; the battery backup is also great and gives backup up to 10 hours.

what laptop should I buy for data science

Advantages:
 

  • High performance
  • Comfortable keyboard
  • Stylish Design

 

Disadvantages:
 

  • The refresh rate is only 60Hz
  • Dull display

 

5) 2020 Apple MacBook Pro with Apple M1 Chip:
 

Not everybody likes to work on windows; some like to work on Mac OSX. According to a stat, the market share of windows in June 2021 was 72.98%, while that of OSX was 15.56%, indicating that some people like to work on Apple laptops.

This Apple Macbook Pro features an Apple M-1 8-core unit processor and GPU. The 8GB RAM and 512GB SSD makes it ultra-fast. The laptop comes with a 13-inch screen and a comfortable keyboard.

The laptop has a powerful battery backup of up to 20 hours.

Apple Macbook Pro Laptop

Advantages:
 

  • Excellent battery backup
  • High-speed processor and GPU
  • Retina display

 

Disadvantages:
 

  • Just two thunderbolt ports
  • 512GB SSD
     

Also, shop for other Apple devices through Apple coupons.
 

6) Dell Inspiron 15 7000:
 

When it comes to buying PCs and laptops, a lot of people prefer DELL. This Dell Inspiron 15 7000 laptop features a powerful Core i7-9750H processor and an NVIDIA GeForce GTX 1650 GPU. It also has an 8GB DDR4 RAM and 512GB SSD.

The screen size of this laptop is 15-inches, and the keyboard is quite comfortable. The Express charge feature of this laptop charges the battery from 0% to 80% within an hour.

Requirements for a laptop for data science

Advantages:
 

  • Solid Performance
  • Comfortable Keyboard and touch

 

Disadvantages:
 

  • The RAM is only 8GB
  • The Screen color is not good

 

7) ASUS TUF Gaming A17 Gaming Laptop:
 

This ASUS A17 gaming laptop is a 17-inch screen laptop with a powerful AMD Ryzen 7 4800H processor. In addition, the laptop comes with Nvidia GeForce GTX 1660 Ti GPU and has a refresh rate of 120Hz.

The 16GB DDR4 RAM and 512GB SSD make it perform operations within seconds; it also has a 1TB HDD so that you can store tons of your data. In addition, the laptop comes with a comfortable keyboard and has a long battery life that lasts up to 8 hours.

best laptops for data science

Advantages:
 

  • Powerful performance
  • Excellent battery life
  • 1TB HDD along-with SDD

 

Disadvantages:
 

  • Display not good
  • Low volume of speakers
  • No Wi-Fi 6
     

8) ASUS ROG Zephyrus G14:
 

This Asus G14 laptop features a powerful Ryzen 9 4900HS processor along with Nvidia GeForce RTX2060 Max-Q GPU. It is one of the best laptops for data science and a dream laptop for many users.

The laptop also has 16 GB DDR4 RAM and 1TB Solid State Drive, the screen size is 14-inches, and the refresh rate is 120Hz. What’s more exciting is that it comes with Wi-Fi 6 technology and has a comfortable backlit keyboard along with a fingerprint reader.

requirements for data science laptop

Advantages:
 

  • Top of the notch performance
  • Excellent graphics
  • Powerful battery
     

Disadvantages:
 

  • No webcam
  • Overheats
  • No thunderbolt 3 connection
  • Fingerprint reader quality is not good
     

9) Lenovo Legion 5 Pro Laptop:
 

This Lenovo Legion 5 Pro Laptop is considered a beast by professionals. The laptop comes with a powerful 6th generation AMD Ryzen 7 5800H processor and has an NVIDIA GeForce RTX 3070 8GB DDR6 GPU.

The 32GB DDR4 RAM and the 1TB PCIe SSD make it ultra-fast. The laptop has a screen size of 16-inches and has a refresh rate of 165Hz. It has a comfortable keyboard and a battery backup of up to 7 hours.

Lenovo Legion 5 Gaming Laptop

Advantages:
 

  • Powerful performance
  • 1 TB PCIe SSD
  • Comfortable keyboard
     

Disadvantages:
 

  • Slightly heavy
  • The audio system is not good
  • Becomes hot
     

10) Alienware m17 R4:
 

Alienware is famous for producing laptops with heavy configurations. This Alienware laptop comes with a powerful 10th generation Intel core i7 processor and 6GB Nvidia GeForce RTX 3060 GPU.

The laptop has a screen size of 17.3-inches and has a storage of 1TB SSD along with 16GB DDR4 RAM.

laptops for data science 

Advantages:
 

  • 360Hz Refresh rate
  • Big screen size
  • Excellent performance
  • Unique and comfortable keyboard
     

Disadvantages:
 

  • The battery life is not good
  • Bulky
  • Noisy fan
     

Shop for all other Alienware laptops and devices through Alienware coupons.

Final Words:

When it comes to buying laptops, you’ll find a wide range of variety to select from.  However, data scientists require powerful devices. Although powerful remote servers are also available these days but having your own laptop is better.

The listed laptops in this article are one of the best laptops for data science; however, you can buy other laptops also but don’t forget the requirements mentioned on top of this article.  It all depends upon the tools and libraries that you would be using for your data science tasks.

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