Best Laptops for Data Science (2024) for AI & machine learning

Best Laptops for Data Science (2024) for AI & machine learning

12

In today’s connected world, data is the foundation of many processes and drives decisions, innovations, and progress across all fields. As someone who works a lot with data science and modelling, I’ve seen personally how important it is to have good tools and technologies to help people understand the complicated world of data analytics. As more people enter this fast-paced field, the need for a reliable laptop that can handle the demands of data crunching becomes more urgent.

After doing a lot of research on the market for laptops that are good for data science work, I’ve put together a list of the best ones that are the best in terms of speed, versatility, and value. These computers were carefully made to meet the needs of data scientists at all skill levels, from those who need to carefully analyse datasets to those who need to use complex algorithms.

Going into different price ranges and configurations of specs, my personal favorites cover a wide range of choices, so there’s sure to be one that fits your needs and tastes. So, whether you’re doing exploratory data analysis or diving into machine learning algorithms, you can be sure that these suggested laptops for data science will help you solve problems quickly and accurately, taking your analytical work to new heights.

Best Laptops for Data Science Comparison Table

Data analysis has evolved into an essential component of a wide range of professions, including but not limited to the fields of finance and marketing, healthcare, and scientific research. It is absolutely necessary to have the appropriate laptop in order to accurately do data analysis. Here, we will discuss the seven laptops that are the most suitable for data analysis. We will investigate their capabilities, performance, and the characteristics that make them an excellent choice for data professionals.

Feature MacBook Pro M3 Dell XPS 17 Lenovo Legion Pro 5i ASUS ROG Strix G17 Razer Blade Pro 17
Processor Apple M3 Intel 13th Gen or AMD Ryzen 7000 Series Intel 13th Gen or AMD Ryzen 7000 Series Intel 13th Gen or AMD Ryzen 7000 Series Intel 13th Gen or AMD Ryzen 7000 Series
Graphics Apple M3 integrated graphics Nvidia GeForce RTX 30/40 Series or AMD Radeon RX 6000/7000 Series Nvidia GeForce RTX 30/40 Series or AMD Radeon RX 6000/7000 Series Nvidia GeForce RTX 30/40 Series or AMD Radeon RX 6000/7000 Series Nvidia GeForce RTX 30/40 Series or AMD Radeon RX 6000/7000 Series
RAM 8GB to 32GB 16GB to 64GB 16GB to 32GB 16GB to 64GB 16GB to 64GB
Storage 256GB to 8TB SSD 512GB to 8TB SSD 512GB to 4TB SSD 512GB to 4TB SSD 512GB to 4TB SSD
Display 17.3-inch Liquid Retina XDR (mini-LED) 17.0-inch OLED or IPS LCD 17.3-inch IPS LCD 17.3-inch IPS LCD 17.3-inch IPS LCD
Refresh Rate 120Hz ProMotion 60Hz to 360Hz 144Hz to 240Hz 144Hz to 360Hz 144Hz to 360Hz
Battery Life Up to 21 hours Up to 17 hours Up to 7 hours Up to 4-5 hours Up to 5-6 hours
Check Deal Check Deal Check Deal Check Deal Check Deal Check Deal

Best Laptops for Data Science

There are a few choices, but which is the best laptop for data science that meets all of your needs? It might take hours to read through all the information and reviews. A prompt operating system, a fast CPU, and enough storage space are all things that a data science laptop needs to be able to handle different types of data and insights. You most likely do your work on your laptop if you are a data science student.

MacBook Pro Laptop M3

Feature Specification
Processor Apple M3
Display 14″ or 16″ Liquid Retina XDR
RAM 16GB – 32GB Unified Memory
Storage 512GB – 8TB SSD
Graphics M3 GPU, M3 Pro GPU, or M3 Max GPU
Check Price

Since I got the MacBook Pro M3, Apple’s newest product, I have had nothing but great experiences with it. Integrating the M3 chip gives me unmatched speed and amazing power efficiency, which takes my creative projects and work to a whole new level. When I combine the Liquid Retina XDR display with ProMotion technology, I get not only stunning visuals but also a smooth and immersive watching experience, whether I’m editing photos or streaming videos.

The MacBook Pro M3 is also very portable, which, along with its sleek and simple design, makes it the perfect laptop for workers like me who are always on the go and care about both style and performance.

The Good

  1. Powerful M3 chip for demanding tasks
  2. Stunning Liquid Retina XDR display
  3. Excellent battery life
  4. Premium build quality and design

The Bad

  1. Expensive
  2. Limited upgradeability
  3. Not ideal for gaming

Dell XPS 17

Best Laptops for Data Science

Feature Specification
Processor Up to 13th Gen Intel Core i9
Display 17″ OLED or UHD+ IPS
RAM Up to 64GB DDR5
Storage Up to 8TB PCIe SSD
Check Price

With the Dell XPS 17, I’ve found it to be the height of computer comfort. The InfinityEdge display and high-end design of this laptop instantly captivate the senses and set the stage for an unmatched working experience. Intel or AMD processors and top-of-the-line NVIDIA graphics make it easy to handle both work-related chores and gaming sessions.

This makes it suitable for a wide range of users, from content creators to multimedia fans. No matter if I’m editing movies or playing games, the XPS 17 always amazes me with how versatile and powerful it is.

The Good

  1. Powerful performance for demanding tasks
  2. Stunning OLED display option
  3. Long battery life
  4. Premium build quality and design

The Bad

  1. Bulky and heavy
  2. Expensive
  3. Can get hot under heavy load

Lenovo Legion Pro 5i

Best Laptops for Data Science

Feature Specification
Processor Up to 13th Gen Intel Core i7
Display 16″ IPS QHD 165Hz
RAM Up to 32GB DDR5
Storage Up to 2TB PCIe SSD + 2TB HDD
Graphics Up to NVIDIA RTX 3070 Ti
Check Price

The Lenovo Legion Pro 5i made an impact that will last. This machine was made for serious gamers and has the newest Intel processors and the best NVIDIA GeForce RTX graphics, so even during long gaming sessions, the experience will be smooth and exciting.

The Legion TrueStrike keyboard and Coldfront 3.0 cooling system make games even better by giving you more precise control and reliable performance without sacrificing comfort. Lenovo’s dedication to giving gamers like me a competitive edge is clear in the Legion Pro 5i, which doesn’t try to be fancy and instead focuses on pure power.

The Good

  1. Excellent gaming performance
  2. High refresh rate display
  3. Ample storage options
  4. Good port selection

The Bad

  1. Bulky and heavy
  2. Short battery life
  3. Plastic build quality feels less premium

ASUS ROG Strix G17

Best Laptops for Data Science

Feature Specification
Processor Up to AMD Ryzen 9 6900HX
Display 17.3″ IPS QHD 240Hz
RAM Up to 64GB DDR5
Storage Up to 2TB PCIe SSD + 2TB HDD
Graphics Up to NVIDIA RTX 3070 Ti
Check Price

The ASUS ROG Strix G17 stands out as a top contender because it combines speed and style so well. The Aura Sync lighting can be changed, and the 240Hz screen is very fast. This laptop has a lot of features that are all meant to make games better. With powerful AMD Ryzen processors and NVIDIA graphics, even the most demanding games run quickly, and the comfortable keyboard lets you play for hours without stopping.

The ROG Strix G17 always gives me a visually beautiful and performance-driven experience that keeps me coming back for more, whether I’m playing competitive multiplayer games or exploring immersive virtual worlds.

The Good

  1. Excellent gaming performance
  2. High refresh rate display with fast response time
  3. Ample storage options
  4. Good port selection

The Bad

  1. Bulky and heavy
  2. Very short battery life
  3. Plastic build quality feels less premium

Razer Blade Pro 17

Best Laptops for Data Science

Feature Specification
Processor Up to 12th Gen Intel Core i9
Display 17.3″ IPS QHD 360Hz
RAM Up to 32GB DDR5
Storage Up to 2TB PCIe SSD
Check Price

It’s clear that the Razer Blade Pro 17 is the best when it comes to high-quality construction and efficiency. It has cutting-edge NVIDIA GeForce RTX graphics, Intel Core i9 processors, and a beautiful 4K OLED display with a 120Hz frame rate. This ultra-thin powerhouse pushes the limits of mobile computing.

Whether I’m working hard on a project or playing games for hours on end, the Razer Blade Pro 17 handles everything I throw at it with grace and accuracy. With its high-end look and powerful performance, it’s the best laptop for workers and gamers who want one that not only looks good but also gives them the best performance anywhere they go.

The Good

  1. Sleek and premium design
  2. Excellent performance for high-end gaming and content creation
  3. High refresh rate display options for smooth gameplay
  4. Comfortable keyboard with per-key RGB lighting
  5. Wide range of ports and connectivity options

The Bad

  1. Very expensive
  2. Short battery life

Key Features to Look for in Laptops for Data Science

When selecting a laptop for data science, it’s essential to consider several key features that can support the demanding computational and analytical tasks involved. Here are some important features to look for:

  1. Processor (CPU): Choose a laptop with a powerful multi-core processor, preferably an Intel Core i7 or AMD Ryzen 7 processor. A higher number of cores and threads will enable faster data processing, model training, and multitasking.
  2. RAM (Memory): Opt for a laptop with ample RAM, preferably 16GB or more. More RAM allows for smoother performance when working with large datasets, running multiple applications simultaneously, and training complex machine learning models.
  3. Storage: Look for a laptop with fast and spacious storage options, such as solid-state drives (SSDs) with at least 512GB of storage capacity. SSDs offer quicker data access and faster boot times compared to traditional hard disk drives (HDDs), which is beneficial for data-intensive tasks.
  4. Graphics Processing Unit (GPU): Consider a laptop with a dedicated GPU, especially if you’ll be working with deep learning frameworks or GPU-accelerated computations. NVIDIA GeForce or Quadro GPUs are popular choices for data science workloads.
  5. Display: Choose a laptop with a high-resolution display (at least Full HD or 1920×1080 pixels) for crisp visuals and ample screen real estate. A larger display size, such as 15.6 inches or more, can enhance productivity and make it easier to visualize data and code.
  6. Portability: Consider the laptop’s size, weight, and battery life, especially if you need to work on-the-go or in different locations. Look for lightweight and thin designs with long battery life to ensure mobility without sacrificing performance.
  7. Connectivity: Ensure the laptop has a variety of connectivity options, including USB ports (preferably USB 3.0 or newer), HDMI or DisplayPort for external monitors, and Wi-Fi for wireless internet access. Thunderbolt 3 ports can provide high-speed data transfer and external GPU support.
  8. Operating System: Choose an operating system that best suits your workflow and software requirements. While Windows and macOS are popular choices, some data science tools and libraries may be more compatible with Linux distributions like Ubuntu or CentOS.

Questions and Answers

Do I need a laptop to learn data science?

Data science is comprised of a variety of difficult tasks, including the cleaning of data and the execution of machine learning algorithms. Your laptop needs to have a powerful processor in order to complete these activities. You should look for a laptop that has a processor that is both quick and powerful, such as an Intel Core i7 or above.

How much RAM is needed for data science?

The ability to multitask is enabled by having more RAM. With that in mind, while choosing RAM, you should go for 8 gigabytes or more. The answer is a resounding “no” since the operating system consumes more than sixty to seventy percent of the available space, and the remaining portion is insufficient for data science activities. Choose a RAM capacity of 12 or 16 gigabytes if you have the financial means to do so.

You Might Be Interested In


Share post on

Leave a Reply

Your email address will not be published. Required fields are marked *


Fact Or Info is reader-supported. When you buy through links on our site, we may earn an affiliate commission.

Doodly vs Renderforest: who wins? Tech

Doodly vs Renderforest: who wins?

29 Choosing the right animation software can have a profound impact on creative projects....

By Hasibul Hasan
Updated
Pocketguard vs Copilot: which app is right for you? Tech

Pocketguard vs Copilot: which app is right for you?

39 First, let’s take a look at Pocketguard. It’s really simple and easy to...

By Hasibul Hasan
Updated
Pocketguard vs Truebill: who wins? Tech

Pocketguard vs Truebill: who wins?

33 From what I’ve seen, Pocketguard and Truebill are two of the best personal...

By Hasibul Hasan
Updated
Adobe Creative Suite vs Canva: which platform suits you best? Tech

Adobe Creative Suite vs Canva: which platform suits you best?

34 When I looked into digital design and creativity, I found Adobe Creative Suite...

By Hasibul Hasan
Updated
Adobe Creative Suite vs Photoshop: who wins? Tech

Adobe Creative Suite vs Photoshop: who wins?

35 When I think of Adobe Creative Suite, which is now part of Adobe...

By Hasibul Hasan
Updated
Adobe Creative Suite vs Figma: your ideal tool? Tech

Adobe Creative Suite vs Figma: your ideal tool?

35 From what I’ve learned using digital design tools, Adobe Creative Suite and Figma...

By Hasibul Hasan
Updated
Android Studio Chipmunk vs Flamingo: who wins? Tech

Android Studio Chipmunk vs Flamingo: who wins?

29 When I look at Android Studio Chipmunk, I see a powerful IDE that...

By Hasibul Hasan
Updated
Android Studio Chipmunk vs Dolphin: choosing your android studio Tech

Android Studio Chipmunk vs Dolphin: choosing your android studio

20 When it comes to making Android apps, Android Studio is my best integrated...

By Hasibul Hasan
Updated