Explore the best laptops for data science in 2024, with powerful processors, ample RAM, and dedicated GPUs for complex data analysis and machine learning.
Data science is a rapidly growing field, and with it comes the need for powerful and efficient computing tools. One of the most important tools for any data scientist is a laptop. A good laptop for data science should have a powerful processor, ample RAM, and a large storage capacity. It should also be able to handle demanding tasks like running complex algorithms and training machine learning models.
Finding the right laptop for data science can be a daunting task. There are so many different models available, each with its own unique set of features and specifications. To make things easier, we’ve compiled a list of the 15 best laptops for data science in 2024. These laptops have been carefully selected based on their performance, features, and value for money.
Whether you’re a seasoned data scientist or just starting out, you’ll find a laptop on this list that’s perfect for your needs. We’ve included a mix of budget-friendly options and high-end machines, so there’s something for everyone.
This comprehensive guide will provide you with in-depth information on each laptop, including its key specs, pros and cons, and overall value. By the end of this article, you’ll be able to confidently choose the best laptop for your data science journey.
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| Apple MacBook Pro 16-inch (2023) |  | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lenovo ThinkPad X1 Carbon Gen 10 |  | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Dell XPS 15 9530 | | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Microsoft Surface Laptop Studio |  | 3.9 out of 5 stars | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| ASUS ROG Strix G15 Advantage Edition |  | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Razer Blade 15 Advanced Model | | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MSI GE76 Raider |  | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Gigabyte AERO 17 | | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HP Envy x360 15 |  | 4.2 out of 5 stars | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Acer Swift 3 SF314-512 |  | N/A | Jump to Review | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Apple MacBook Pro 16-inch (2023)
The latest iteration of Apple's flagship laptop, the MacBook Pro 16-inch, boasts powerful performance and a stunning display.
Specifications:
- Processor: Apple M2 Pro or M2 Max chip
- Memory: 16GB-96GB unified memory
- Storage: 512GB-8TB SSD
- Display: 16.2-inch Liquid Retina XDR display (3456 x 2234 resolution)
- Graphics: 19-core GPU (M2 Pro), 38-core GPU (M2 Max)
- Battery Life: Up to 22 hours
Reasons to buy:
- Exceptional performance: The M2 Pro and M2 Max chips deliver blazing-fast processing speeds for demanding data science workloads.
- Stunning display: The Liquid Retina XDR display provides vibrant colors, deep blacks, and incredible detail.
- Long battery life: Enjoy extended work sessions without needing to constantly recharge.
- Excellent build quality: The MacBook Pro 16-inch is crafted from premium materials and is incredibly durable.
Reasons to avoid:
- High price: The MacBook Pro 16-inch is one of the most expensive laptops on the market.
- Limited expandability: The MacBook Pro 16-inch has limited upgrade options.
- macOS-only: Users who prefer Windows will need to consider other options.
What you need to know:
Buy it if:
- You need the absolute best performance for data science tasks.
- You prioritize a beautiful and high-resolution display.
- You value a premium build and long battery life.
Don't buy it if:
- You're on a tight budget.
- You need a laptop with a lot of upgrade options.
- You prefer the Windows operating system.
Bottom Line:
The Apple MacBook Pro 16-inch (2023) is a powerhouse of a laptop that's perfect for data scientists who demand the best performance and a stunning display. However, its high price tag and limited expandability may make it a less-than-ideal choice for budget-conscious users or those who require a more flexible machine. If you're willing to invest in the best, the MacBook Pro 16-inch is a fantastic option, offering unparalleled power, a gorgeous screen, and a long battery life. However, for those who need a more budget-friendly or flexible laptop, there are other excellent options available.
Lenovo IdeaPad Flex 5 14
A versatile 2-in-1 laptop that offers a balance of performance and affordability, making it a great choice for data science students and professionals on a budget.
Specifications :
- Processor: AMD Ryzen 5 5500U or AMD Ryzen 7 5700U
- RAM: 8GB or 16GB DDR4
- Storage: 256GB or 512GB SSD
- Display: 14-inch FHD (1920 x 1080) IPS touchscreen
- Graphics: AMD Radeon Graphics
- Battery Life: Up to 8 hours
- Weight: 3.5 lbs
Reasons to buy :
- Affordable price: The Flex 5 14 is one of the most budget-friendly laptops on this list.
- Good performance: The Ryzen 5 5500U processor is powerful enough for most data science tasks.
- 2-in-1 design: The Flex 5 14 can be used as a laptop or a tablet, making it versatile for different work styles.
- Long battery life: You can work for hours on a single charge.
- Good display: The FHD touchscreen is bright and sharp, making it easy to view data and code.
Reasons to avoid :
- Not the most powerful option: If you need to run demanding data science applications, you may want to consider a more powerful laptop.
- Limited storage: The base model only comes with 256GB of storage, which may not be enough for large datasets.
- Average build quality: The Flex 5 14 is not as well-built as some of the other laptops on this list.
What you need to know :
Buy it if
- You're on a budget and need a versatile laptop for data science.
- You don't need the most powerful laptop on the market.
- You prefer a 2-in-1 design.
Don't buy it if:
- You need to run very demanding data science applications.
- You need a lot of storage space.
- You want a premium-quality laptop.
Bottom Line:
The Lenovo IdeaPad Flex 5 14 is a great option for data science students and professionals who are on a budget and need a versatile laptop that can handle most data science tasks. While it may not be the most powerful or premium laptop on the market, it offers a good balance of performance, features, and affordability. The 2-in-1 design makes it a versatile choice for different work styles, and the long battery life allows you to work for hours on a single charge. If you're looking for a budget-friendly laptop for data science that can handle the basics, the Flex 5 14 is a solid choice.
ASUS ZenBook 13 UX325
The ZenBook 13 is a sleek and portable laptop that is perfect for data scientists who are always on the go. It packs a powerful punch in a compact design, making it a great choice for those who need a reliable and portable workhorse.
Specifications :
- Processor: Intel Core i5-1135G7 or Intel Core i7-1165G7
- RAM: 8GB or 16GB LPDDR4X
- Storage: 512GB or 1TB PCIe SSD
- Display: 13.3-inch FHD (1920 x 1080) IPS display
- Graphics: Intel Iris Xe Graphics
- Battery Life: Up to 12 hours
- Weight: 2.45 lbs
Reasons to buy :
- Lightweight and portable: The ZenBook 13 is one of the lightest laptops on this list, making it easy to carry around.
- Powerful performance: The Intel Core i5-1135G7 or Intel Core i7-1165G7 processor can handle most data science tasks with ease.
- Long battery life: You can work for hours on a single charge, making it perfect for traveling or working remotely.
- Good display: The FHD display is bright and sharp, making it easy to view data and code.
- Sleek and stylish design: The ZenBook 13 has a premium look and feel.
Reasons to avoid :
- Limited ports: The ZenBook 13 only has a few ports, which can be a limitation if you need to connect multiple peripherals.
- No touchscreen: The ZenBook 13 does not have a touchscreen, which can be a drawback for some users.
- Relatively expensive: The ZenBook 13 is one of the more expensive laptops on this list.
What you need to know :
Buy it if
- You need a lightweight and portable laptop for data science.
- You want a powerful and reliable laptop.
- You need a long battery life.
- You appreciate a sleek and stylish design.
Don't buy it if:
- You need a lot of ports.
- You want a touchscreen.
- You're on a tight budget.
Bottom Line:
The ASUS ZenBook 13 UX325 is a fantastic choice for data scientists who need a powerful and portable laptop that can handle the demands of their work. It's a sleek and stylish machine that is easy to carry around and provides long battery life, making it ideal for traveling or working remotely. While it may not be the most affordable laptop on the market, its combination of power, portability, and design make it a worthwhile investment for professionals who need a reliable and efficient workhorse.
Samsung Galaxy Book2 Pro 360
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The Galaxy Book2 Pro 360 is a premium 2-in-1 laptop that offers a luxurious experience for data scientists who demand the best. With its powerful processor, stunning display, and versatile design, it's a great option for those who want a top-of-the-line laptop for their data science work.
Specifications :
- Processor: Intel Core i5-1240P or Intel Core i7-1260P
- RAM: 8GB, 16GB, or 32GB LPDDR5
- Storage: 512GB or 1TB PCIe SSD
- Display: 13.3-inch or 15.6-inch AMOLED touchscreen (1920 x 1080 resolution)
- Graphics: Intel Iris Xe Graphics
- Battery Life: Up to 21 hours
- Weight: 2.72 lbs (13.3-inch) or 3.4 lbs (15.6-inch)
Reasons to buy :
- Premium design and build quality: The Galaxy Book2 Pro 360 is a sleek and well-built laptop with a luxurious feel.
- Powerful performance: The Intel Core i5-1240P or Intel Core i7-1260P processor can handle even the most demanding data science tasks.
- Stunning AMOLED display: The AMOLED touchscreen is bright, vibrant, and responsive, making it a pleasure to work with.
- Long battery life: You can work for hours on a single charge, making it perfect for traveling or working remotely.
- Versatile 2-in-1 design: The Galaxy Book2 Pro 360 can be used as a laptop or a tablet, making it versatile for different work styles.
Reasons to avoid :
- Expensive: The Galaxy Book2 Pro 360 is one of the most expensive laptops on this list.
- Limited port selection: The Galaxy Book2 Pro 360 has a limited number of ports, which can be a drawback if you need to connect multiple peripherals.
What you need to know :
Buy it if
- You want a premium 2-in-1 laptop for data science.
- You need a powerful laptop that can handle demanding tasks.
- You appreciate a stunning display.
- You need a long battery life.
Don't buy it if:
- You're on a tight budget.
- You need a lot of ports.
Bottom Line:
The Samsung Galaxy Book2 Pro 360 is a luxurious and powerful 2-in-1 laptop that is perfect for data scientists who want the best of the best. It offers a premium design and build quality, a powerful processor, a stunning AMOLED display, and a long battery life. The versatile 2-in-1 design makes it perfect for different work styles, and the overall experience is truly exceptional. However, its high price tag may be a deterrent for some users. If you're looking for a premium laptop that can handle your data science work with ease, the Galaxy Book2 Pro 360 is a worthy contender.
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LG Gram 17
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The LG Gram 17 is a lightweight and portable laptop that is perfect for data scientists who need a large screen but don't want to sacrifice portability. Despite its large screen, it's surprisingly lightweight, making it easy to carry around.
Specifications :
- Processor: Intel Core i5-1240P or Intel Core i7-1260P
- RAM: 16GB or 32GB LPDDR5
- Storage: 512GB or 1TB PCIe SSD
- Display: 17-inch FHD (1920 x 1080) IPS display
- Graphics: Intel Iris Xe Graphics
- Battery Life: Up to 17 hours
- Weight: 2.98 lbs
Reasons to buy :
- Lightweight and portable: The Gram 17 is surprisingly lightweight for a 17-inch laptop, making it easy to carry around.
- Large screen: The 17-inch display provides ample space for viewing data and code.
- Powerful performance: The Intel Core i5-1240P or Intel Core i7-1260P processor can handle most data science tasks with ease.
- Long battery life: You can work for hours on a single charge, making it perfect for traveling or working remotely.
- Good display: The FHD display is bright and sharp, making it easy to view data and code.
Reasons to avoid :
- No touchscreen: The Gram 17 does not have a touchscreen, which can be a drawback for some users.
- Limited port selection: The Gram 17 has a limited number of ports, which can be a drawback if you need to connect multiple peripherals.
- Relatively expensive: The Gram 17 is one of the more expensive laptops on this list.
What you need to know :
Buy it if
- You need a lightweight and portable 17-inch laptop for data science.
- You need a large screen for viewing data and code.
- You want a powerful and reliable laptop.
- You need a long battery life.
Don't buy it if:
- You want a touchscreen.
- You need a lot of ports.
- You're on a tight budget.
Bottom Line:
The LG Gram 17 is a fantastic choice for data scientists who need a large screen but don't want to sacrifice portability. It's a lightweight and powerful laptop that offers a long battery life and a bright and sharp FHD display. While it may not have a touchscreen and has a limited number of ports, its combination of size, weight, and performance make it a great option for those who need a reliable and efficient workhorse.
HP Spectre x360 14
The HP Spectre x360 14 is a premium 2-in-1 laptop that offers a sleek design, powerful performance, and a luxurious experience for data scientists. With its Intel Evo platform and long battery life, it's a great choice for those who need a reliable and portable laptop for their data science work.
Specifications :
- Processor: Intel Core i5-1250U or Intel Core i7-1260U
- RAM: 8GB, 16GB, or 32GB LPDDR5
- Storage: 512GB or 1TB PCIe SSD
- Display: 13.5-inch or 14-inch OLED touchscreen (1920 x 1280 resolution)
- Graphics: Intel Iris Xe Graphics
- Battery Life: Up to 17 hours
- Weight: 3.02 lbs
Reasons to buy :
- Premium design and build quality: The Spectre x360 14 is a sleek and well-built laptop with a luxurious feel.
- Powerful performance: The Intel Core i5-1250U or Intel Core i7-1260U processor can handle most data science tasks with ease.
- Stunning OLED display: The OLED touchscreen is bright, vibrant, and responsive, making it a pleasure to work with.
- Long battery life: You can work for hours on a single charge, making it perfect for traveling or working remotely.
- Versatile 2-in-1 design: The Spectre x360 14 can be used as a laptop or a tablet, making it versatile for different work styles.
- Intel Evo platform: The Spectre x360 14 meets the Intel Evo platform requirements, ensuring a high level of performance, responsiveness, and battery life.
Reasons to avoid :
- Expensive: The Spectre x360 14 is one of the most expensive laptops on this list.
- Limited port selection: The Spectre x360 14 has a limited number of ports, which can be a drawback if you need to connect multiple peripherals.
What you need to know :
Buy it if
- You want a premium 2-in-1 laptop for data science.
- You need a powerful laptop that can handle demanding tasks.
- You appreciate a stunning display.
- You need a long battery life.
- You want a laptop that meets the Intel Evo platform requirements.
Don't buy it if:
- You're on a tight budget.
- You need a lot of ports.
Bottom Line:
The HP Spectre x360 14 is a luxurious and powerful 2-in-1 laptop that is perfect for data scientists who want a top-of-the-line machine. It offers a premium design and build quality, a powerful processor, a stunning OLED display, and a long battery life. The Intel Evo platform ensures a high level of performance, responsiveness, and battery life. The versatile 2-in-1 design makes it perfect for different work styles, and the overall experience is truly exceptional. However, its high price tag may be a deterrent for some users. If you're looking for a premium laptop that can handle your data science work with ease and offers a luxurious experience, the Spectre x360 14 is a worthy contender.
Choosing the right laptop for data science can be a daunting task, given the wide variety of options available and the specific needs of the field. But by considering factors like processing power, memory, storage, and portability, you can narrow down your search and find a machine that fits your budget and requirements. The laptops we've highlighted in this guide represent some of the best available options, ranging from powerful workstations to more portable and budget-friendly choices.
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Ultimately, the best laptop for you will depend on your individual needs and priorities. If you're working with large datasets or running complex machine learning models, a high-performance machine with a powerful processor and ample RAM is essential. However, if you're primarily focusing on data analysis and visualization, a more affordable laptop with a decent processor and enough RAM might suffice.
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No matter what your budget or requirements, there's a laptop on this list that can help you tackle your data science projects. Remember to consider your specific needs and research individual models thoroughly before making your final decision.
This comprehensive guide provides you with a strong foundation to navigate the world of data science laptops and make an informed choice that aligns with your professional aspirations and goals. Whether you're a seasoned professional or a budding data scientist, the right laptop can empower you to unlock the power of data and make impactful contributions in this ever-evolving field.
