Data science is a rapidly growing field that has the power to change the way we think about business. And with data becoming ever more plentiful and complex, laptops are essential for this type of work. In this article, we’ve reviewed the 13 best data science laptops to help you choose the perfect device for your needs. We cover everything from price to specs to features, so read on to find the perfect laptop for your data-focused journey.
Things You Should Consider Before Buying the Best Laptops for Data Science
When you are thinking about buying a laptop for data science, there are a few things you should consider.
Graphics Card:
One of the most important things to consider when purchasing a laptop for data science is the graphics card. A good graphics card will allow you to do more complex calculations and renderings on your computer, which will make your data science work faster and easier.
Processor:
Another important factor to consider is the processor. A good processor will allow you to run multiple applications at the same time without causing a slowdown or errors.
Screen Size:
Another key factor to consider when buying a laptop for data science is the screen size. Laptops with larger screens are generally easier to use because they have more space on which to work.
RAM:
Finally, RAM is also an important factor to consider when purchasing a laptop for data science. A laptop with more RAM will allow you to easily work with larger datasets.
Size and Weight:
When choosing a laptop for data science, it’s important to consider the device’s size and weight. Laptops that are too heavy or too small will not be ideal for data science work.
Operating System:
Another important factor to consider when purchasing a laptop for data science is the operating system. Laptops with an operating system such as Windows or macOS are generally easier to use than those with a Linux or OS X operating system.
List of 13 Best Laptops for Data Science
Here is the list of the best laptops for data science. These are powerful machines that can handle complex tasks and provide great flexibility when it comes to working with data.
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1. HP ENVY 17t
Looking for the best laptops for data science? Look no further than the HP Envy 17t. Featuring a powerful Intel Core i7-1165G7 processor, 32GB DDR4 RAM, and a 1TB SSD, this high-performance laptop is perfect for data science work.
Key Features:
Looking for an excellent laptop for data science? Look no further than the HP ENVY 17t. This machine has been specifically optimized for this field and offers great performance and features. Here are some of the key reasons why it is a great choice:
The HP ENVY 17t comes equipped with an 8th Gen Intel Core i7 processor and 32GB of RAM. This allows for the quick processing of large data sets and offers plenty of room to expand as needed.
Additionally, the laptop sports an IRIS XE graphics, which provides great performance when working with graphics-intensive programs or datasets. The machine also comes with a 1TB hard drive, allowing ample storage space to store your data files and programs.
Performance and Portability:
Overall, the HP ENVY 17t is a great choice for anyone looking for an excellent laptop for data science. Its powerful 8th Gen Intel Core i7 processor and INTEL IRIS XE GRAPHICS graphics provide great performance, while its 1TB SSD provides plenty of storage space. Its portability makes it perfect for use in remote locations or on-the-go work.
Display and Graphics Card:
One potential downside to the HP ENVY 17t is its display. While it is a great laptop overall, its display may be better for some users. Specifically, the screen is on the smaller side and may not be able to accommodate larger data sets or graphics-intensive programs.
RAM and Storage:
Overall, the RAM and storage space on the HP ENVY 17t are both excellent. The 8th Gen Intel Core i7 processor and 32GB of RAM provide plenty of power for data science work, while the 1TB SSD provides ample storage space for your data files and programs.
Size and Weight:
The HP ENVY 17t is a slightly larger laptop than some other options on the market, but its size and weight are both relatively reasonable.
Battery Life and Keyboard:
The HP ENVY 17t comes equipped with a powerful battery, which should provide good battery life when working in data science. Additionally, the keyboard is excellent, offering great tactile feedback and smooth keystrokes.
Additional Features:
The HP ENVY 17t also includes a number of additional features that are perfect for data science work. These include a backlit keyboard, a fast Ethernet port, and a DVD drive.
Final Thoughts:
Overall, the HP ENVY 17t is an excellent choice for anyone looking for a great laptop for data science. Its powerful 8th Gen Intel Core i7 processor and INTEL IRIS XE GRAPHICS graphics provides great performance, while its 1TB SSD provides ample storage space. Additionally, its portability makes it perfect for use in remote locations or on-the-go work.
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2. Acer Aspire 5
The Acer Aspire 5 is a reliable and affordable laptop for data science with a Full HD IPS display, an AMD Ryzen 3 3350U Quad-Core Mobile Processor, 4GB DDR4 RAM, 128GB NVMe SSD, and AMD Radeon Vega 6 graphics.
Key Features:
For data scientists, laptops that can handle intensive calculations and crunching numbers are key. Some of the best laptops for data science include Acer’s Aspire 5. This laptop has a powerful AMD Ryzen 3 3350U processor and 4GB of memory, allowing for fast processing of big data sets.
The laptop also features an anti-glare screen which is perfect for viewing charts and graphs in crisp detail. Additionally, the laptop has a backlit keyboard, making it easy to work in dark environments. It also comes with a 128GB NVME SSD for storing large datasets. Lastly, the laptop has a DVD burner, so you can easily create backup copies of your datasets if needed.
Performance and Portability:
The Acer Aspire 5 is a powerful data science laptop that can handle intensive calculations and crunching numbers. The processor and memory are powerful enough to easily handle large datasets. And portability is another great feature of the laptop. Its anti-glare screen and backlit keyboard make it perfect for working in dark environments.
Display and Graphics Card:
The laptop’s display is excellent and perfect for viewing charts and graphs in crisp detail. The graphics card is also powerful enough to handle high-resolution images and videos.
RAM and Storage:
The laptop comes with 4GB of memory, enough for processing large datasets. Additionally, the laptop has a 128GB NVME SSD which allows for the storage of large datasets.
Size and Weight:
The Acer Aspire 5 is a light and compact laptop, weighing just 2.8 pounds. This makes it perfect for carrying around with you while you work.
Battery Life and Keyboard:
The laptop has a powerful battery that allows for long use hours. And the keyboard is backlit, so it is easy to work in dark environments.
Additional Features:
The laptop also features wireless connectivity and a DVD burner.
Final Thoughts:
The Acer Aspire 5 is a powerful data science laptop that is perfect for handling intense calculations and crunching numbers. The display and graphics card are both powerful enough to handle high-resolution images and videos. And the laptop comes with a variety of additional features, such as wireless connectivity and a DVD burner.
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3. HP Pavilion X360
The HP Pavilion X360 is a powerful 2-in-1 laptop designed for data science with a Full HD Touchscreen Display, Intel Core i5, 8 GB DDR4 RAM, and 512 GB SSD Storage.
Key Features:
If you’re looking for a laptop that can help you crunch numbers, the HP Pavilion X360 is a great option. This machine has multiple ports and slots to allow you to connect to various devices, and it also comes with an Intel Core i5 processor and 8GB of memory. Plus, the battery life is excellent – you can expect to get around 7 hours of use out of it before needing to plug it in. If data science is your thing, the HP Pavilion X360 is definitely worth considering.
Performance and Portability:
The HP Pavilion X360 is a powerful machine that can handle a variety of tasks. It has an Intel Core i5 processor and 8GB of memory, making it perfect for data science and other heavy tasks. Also, the portability is great – you can easily take it with you wherever you go.
Display and Graphics Card:
The HP Pavilion X360 has a great display that is perfect for data analysis and other tasks. The graphics card is also good, allowing you to handle complex calculations without issue.
RAM and Storage:
The HP Pavilion X360 has a decent amount of RAM (8GB) and storage (512GB). This allows you to store your data and work on projects without any issues.
Size and Weight:
The HP Pavilion X360 is a small, light laptop – perfect for taking you on the go. It weighs around 2.75 pounds, so it’s easy to carry around.
Battery Life and Keyboard:
The battery life on the HP Pavilion X360 is excellent – you can expect to get around 7 hours of use out of it before needing to plug it in. The keyboard is also great – it’s comfortable and easy to use.
Additional Features:
The HP Pavilion X360 comes with a variety of additional features, including an SD card reader, a DVD drive, and a backlit keyboard. This allows you to do whatever you need to without issue.
Final Thoughts:
If you’re looking for a powerful laptop that can handle data analysis and other heavy tasks, the HP Pavilion X360 is a great option. It has an excellent battery life, a comfortable keyboard, and multiple ports and slots to allow you to connect to various devices.
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4. Apple MacBook Pro
The Apple MacBook Pro with M1 Pro chip is the best laptop for data science, with 8-core CPU, 14-core GPU, 32GB RAM, and 1TB SSD.
Key Features:
The best laptops for data science are Apple MacBook Pro. They come with high-end processors and large storage spaces, making them great for storing large amounts of data. Additionally, their laptops have excellent displays that make it easy to see and work on data sets.
Performance and Portability:
The MacBook Pro’s processors are some of the best on the market, making them great for data science work. Additionally, their large storage spaces make storing large amounts of data easy. Their portability also makes them great for taking trips or working from different locations with you.
Display and Graphics:
The MacBook Pro’s displays are excellent for data science work. They have high resolutions that make it easy to see data sets and graphs. Additionally, they have excellent graphics that allow you to create complex visualizations.
RAM and Storage:
The MacBook Pro’s RAM and storage spaces are both large enough for data science work. Additionally, their ports allow you to connect to various devices, making it easy to transfer data between different files.
Size and Weight:
The MacBook Pro is a large laptop, making it easy to work on data sets. Additionally, their weight makes them easy to carry around.
Battery Life and Keyboard:
The MacBook Pro’s battery life is excellent for data science work. Additionally, their keyboard is comfortable to use, making it easy to type long lines of code.
Additional Features:
The MacBook Pro also has features that make it better for data science work. They have a wide range of ports that allow you to connect to various devices and excellent keyboards that make it easy to type long lines of code.
Final Thoughts:
The MacBook Pro is the best laptop for data science. They come with high-end processors and large storage spaces, making them great for storing large amounts of data. Additionally, their laptops have excellent displays that make it easy to see and work on data sets.
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5. Lenovo Legion 5 Pro
Looking for the best laptops for data science? Check out the Lenovo Legion 5 Pro Gen 6, with a Ryzen 7 5800H processor, NVIDIA GeForce RTX 3060 graphics, 32GB DDR4 RAM, and 1TB PCIe SSD storage.
Key Features:
The best laptops for data science are the Lenovo Legion 5 Pro. They are powerful and versatile machines that can handle a variety of tasks. They have a fast processor and plenty of memory, so they are perfect for data analysis and modeling. The screens are large and clear, so you can see the data clearly. The keyboards are comfortable to use, so you can keep the focus on your work. Finally, the batteries last for hours, so you can work for hours without having to plug in.
Performance and Portability:
The Lenovo Legion 5 Pro is a powerful machine that can handle a variety of tasks. It has a fast processor and plenty of memory, so you can work with data easily. The portability is also great. The battery lasts for hours, so you can work on your data without having to plug it in.
Display and Graphics Card:
The displays on the Lenovo Legion 5 Pro are large and clear. This makes it easy to see the data you are working with. The graphics card is also powerful, so you can see your data in high resolution.
RAM and Storage:
The Lenovo Legion 5 Pro has a lot of RAM and storage, so you can work with data easily. The RAM is also fast, so you can move your data around quickly. The storage is also plenty, so you can keep your data safe.
Size and Weight:
The Lenovo Legion 5 Pro is a large and weighty machine. This makes it easy to carry around and use. The size is also great because it means you can work with data in a variety of environments.
Battery Life and Keyboard:
The keyboard on the Lenovo Legion 5 Pro is comfortable to use. This means you can keep the focus on your data without having to put up with uncomfortable keyboards. The battery life is also great, so you can work for hours without having to plug in.
Additional Features:
The Lenovo Legion 5 Pro has a lot of additional features. These include a fast graphics card and a large screen. They are perfect for data analysis and modeling.
Final Thoughts:
The Lenovo Legion 5 Pro is a powerful and versatile laptop that can handle a variety of tasks. The display is large and clear, so you can see the data easily. The keyboard is comfortable to use, so you can keep the focus on your work. Finally, the battery lasts for hours, so you can work for hours without having to plug it in.
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6. Dell XPS 17
Dell XPS 17 9710 is a top pick for data science with its high-performance Intel Core i7-11800H processor, 16GB DDR4 RAM, 1TB SSD storage, and NVIDIA GeForce RTX 3050 graphics. The 17-inch FHD+ display with 1920 x 1200 resolution makes it ideal for multitasking.
Key Features:
If you’re in the market for a powerful laptop that can help you crunch numbers and carry out scientific experiments, the Dell XPS 17 is a great option. This laptop has an Intel Core i7 processor and 16GB of memory, which means it can handle plenty of complex calculations and data analysis. Plus, its NVIDIA GeForce RTX 3050 graphics card will help you take your scientific research to the next level.
And if storage is an issue, don’t worry – the Dell XPS 17 comes with a 1TB SSD. So whether you’re working on a big project or just need some extra space to store your files, this laptop has you covered.
Performance and Portability:
The Dell XPS 17 is a powerful laptop, and its performance is backed by an Intel Core i7 processor and 16GB of memory. This means you can load up complex calculations and data analysis quickly and easily without any issues. Plus, the NVIDIA GeForce RTX 3050 graphics card will help you take your scientific research to the next level.
Display and Graphics Card:
The Dell XPS 17 comes with a beautiful, high-resolution display. Plus, its NVIDIA GeForce RTX 3050 graphics card ensures that you’ll be able to run your scientific experiments and graphics-heavy apps without any problems.
RAM and Storage:
The Dell XPS 17 comes with a 1TB SSD, which means you’ll have plenty of space to store your files and gigabytes of data.
Size and Weight:
The Dell XPS 17 is a sleek, powerful laptop that’s perfect for scientific research and complex calculations. It’s also lightweight and easy to carry around, making it a great choice for anyone who wants a powerful laptop without any hassle.
Battery Life and Keyboard:
The Dell XPS 17 comes with a powerful battery, which means you can use it to work on your project or take your laptop on the go. Plus, its spacious and comfortable keyboard makes it a great choice for anyone who wants a laptop that can handle lots of typing.
Additional Features:
The Dell XPS 17 also comes with a number of additional features that make it a great choice for scientific research. These include a backlit keyboard and an SD card reader, which will help you easily store your files and access them when you need them.
Final Thoughts:
If you’re looking for a powerful laptop that can help you crunch numbers and perform scientific research, the Dell XPS 17 is a great option. Its Intel Core i7 processor and 16GB of memory make it a powerhouse, while its NVIDIA GeForce RTX 3050 graphics card will let you take your research to the next level. Plus, its sleek design and comfortable keyboard make it a great choice for anyone who wants a powerful laptop without any hassle.
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7. Lenovo IdeaPad 3
Looking for a laptop that can handle data science workloads? The Lenovo IdeaPad 3 is a great choice with an AMD Ryzen 5 processor, 8GB RAM, and AMD Radeon 7 graphics. Plus, it has a 14.0″ FHD display and 256GB SSD storage.
Key Features:
Lenovo IdeaPad 3 is a great laptop for data science. It has an Intel Core i5-8250U processor, 8GB of memory, and a 1TB hard drive. This laptop also has a graphics card that is good for data science. The Lenovo IdeaPad 3 also comes with Windows 10 Pro operating system.
Performance and Portability:
The Lenovo IdeaPad 3 is a great laptop for data science. It has an AMD Ryzen 5 5500U processor, 8GB of memory, and a 256GB SSD STORAGE. This laptop also has a graphics card that is good for data science. The laptop is also very portable and lightweight, so you can take it with you wherever you go.
Display and Graphics Card:
The Lenovo IdeaPad 3 has a great display and graphics card. The laptop has an IPS display panel that offers good colour accuracy, brightness, and viewing angles. The graphics card is also good for data science. This powerful graphics card will let you do data science tasks without any problems. It has an AMD RADEON 7 GRAPHICS with 4GB of memory.
RAM and Storage:
The Lenovo IdeaPad 3 has 8GB of memory, which is enough for data science tasks. The laptop also has a 256GB SSD STORAGE, which is enough storage space for your data files. Also Checkout our article of best laptops for solidworks.
Size and Weight:
The Lenovo IdeaPad 3 is a lightweight laptop, so you can carry it with you wherever you go. It is also small and thin, so it is easy to use.
Battery Life and Keyboard:
The Lenovo IdeaPad 3 has a good battery life and a comfortable keyboard. The battery lasts for up to 8 hours, and the keyboard is soft and easy to use.
Additional Features:
The Lenovo IdeaPad 3 has other features that are good for data science. These include an 8-in-1 card reader, a backlit keyboard, and 8GB of memory.
Final Thoughts:
The Lenovo IdeaPad 3 is a great laptop for data science. It has a powerful AMD Ryzen 5 5500U processor and 8GB of memory, allowing you to run many applications simultaneously without issue. Additionally, the backlit keyboard and display make it easy to work in low-light conditions. The only downside of this laptop is that it doesn’t have a dedicated GPU, so you may have to switch to an alternative software if you want to do some serious gaming.
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8. Asus ROG Strix G
The ASUS ROG Strix G is a powerful gaming laptop that can also handle data science tasks with its Intel Hexa-Core i7-9750H processor and NVIDIA GeForce GTX 1650 graphics card.
Key Features:
Asus ROG Strix G is the perfect laptop for data science. It has an NVIDIA GEFORCE GTX 1650 graphics card that enables super-fast processing speeds and excellent video rendering performance. The laptop also features 8GB of DDR4 memory, which provides plenty of space to store your data and run your programs. Plus, its sleek design makes it a great choice for working in tight spaces or travelling.
Performance and Portability:
The Asus ROG Strix G is one of the market’s most powerful and portable laptops. It features a sleek design that makes it perfect for working in tight spaces or travelling. This makes it a great choice for data science and other high-performance tasks.
Display and Graphics Card:
The Asus ROG Strix G features an NVIDIA GEFORCE GTX 1650 graphics that enables super-fast processing speeds and excellent video rendering performance. This makes it a great choice for data science and other high-performance tasks.
RAM and Storage:
The Asus ROG Strix G features 8GB of DDR4 memory, which provides plenty of space to store your data and run your programs. Plus, its sleek design makes it a great choice for working in tight spaces or travelling.
Size and Weight:
The Asus ROG Strix G is one of the smallest and lightest laptops on the market. This makes it a great choice for data science and other high-performance tasks that don’t require heavy processing or storage requirements.
Battery Life and Keyboard:
The Asus ROG Strix G features a powerful battery that allows you to work for hours on end without having to plug in. The keyboard is also spill-resistant, making it ideal for data science and other high-intensity tasks.
Additional Features:
The Asus ROG Strix G features a number of additional features that make it a great choice for data science and other high-performance tasks. These include a backlit keyboard, double LED fans, and an ultra-fast 802.11ac Wi-Fi connection.
Final Thoughts:
The Asus ROG Strix G is the perfect laptop for data science, featuring an NVIDIA GEFORCE GTX 1650 graphics card that enables super-fast processing speeds and excellent video rendering performance. Its sleek design makes it a great choice for working in tight spaces or travelling, while its 8GB of DDR4 memory provides plenty of space to store your data and run your programs.
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9. Razer Blade Pro 17
The Razer Blade Pro 17 is a powerful gaming laptop that doubles as a great machine for data science, thanks to its high-end specs and large display.
Key Features:
Looking for the perfect laptop for data science? Look no further than the Razer Blade Pro 17. This powerful machine has everything you need to crunch numbers efficiently and produce stunning results.
The Razer Blade Pro 17 is equipped with a 11th Generation Intel Core i7-11800H Processor, 16GB of DDR4 Memory, 1TB PCIe Solid State Drive, and an NVIDIA RTX 3060 Graphics Card. This powerful machine easily handles any data analysis task you may throw at it. Plus, the 1TB SSD storage space ensures that you have plenty of room to store your projects and files.
Plus, the Razer Blade Pro 17 also comes with a number of other features that make it an ideal choice for data scientists. For example, it has a dedicated numeric keyboard and trackpad for fast inputting of data sets and commands. And if you need to get online quickly, the Wi-Fi connectivity allows you to do so without any problems.
Performance and Portability:
The Razer Blade Pro 17 is one of the most powerful laptops on the market, and its performance is unmatched. Its 11th Generation Core i7-11800H Processor ensures that you get top-of-the-line performance when working with data sets and calculations. The portability of the Razer Blade Pro 17 is also a major asset. With a weight of only 5.6 pounds, it’s easy to take this machine with you wherever you go.
Display and Graphics Card:
The graphics card on the Razer Blade Pro 17 is no slouch either. The NVIDIA RTX 3060 Graphics Card allows you to easily run complex data analysis tasks. Plus, the display features a 1920 x 1080 resolution for crystal-clear images and details.
RAM and Storage:
The 16GB of DDR4 Memory on the Razer Blade Pro 17 ensures that you have plenty of room to store your data sets and files. Plus, the 512GB Solid State Drive provides plenty of storage space for your projects and files.
Size and Weight:
The Razer Blade Pro 17 is one of the smaller and lighter laptops on the market. With a weight of only 5.6 pounds, it’s easy to take this machine with you wherever you go. And with a 17.3 x 9.8 x 1.8 inches size, it’s easy to fit in any bag or carrying case you may have.
Battery Life and Keyboard:
The battery life on the Razer Blade Pro 17 is excellent. With a battery life of up to 7 hours, you won’t have to worry about running out of power mid-project. Plus, the dedicated numeric keyboard and trackpad make data entry a breeze.
Additional Features:
The Razer Blade Pro 17 also comes with a number of additional features that make it an ideal choice for data scientists. For example, it has a Thunderbolt 3 port for connecting to external devices, such as hard drives or video cameras.
Final Thoughts:
If you’re looking for the perfect laptop for data science, the Razer Blade Pro 17 is a perfect choice. Its powerful 11th Generation Intel Core i7-11800H Processor and NVIDIA RTX 3060 Graphics Card make it easy to handle any data analysis task. And with a weight of only 5.6 pounds, it’s easy to take this machine with you wherever you go.
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10. Acer Swift 3
Looking for the best laptops for data science? The Acer Swift 3 is a great choice with its AMD Ryzen 7 processor, 8GB RAM, 512GB NVMe SSD, and AMD Radeon graphics.
Key Features:
If you’re looking for a laptop that can handle some heavy data science tasks, the Acer Swift 3 should be at the top of your list. This model comes with an AMD Ryzen 7 4700U processor and 8GB of RAM, which makes it great for processing large amounts of data. Additionally, the battery life is excellent, so you can work on your projects all day without having to worry about needing to plug in later. Finally, the display is very good quality, so you’ll be able to clearly see what you’re working on.
Performance and Portability:
The Acer Swift 3 is a great laptop for data scientists who need to be able to handle a lot of heavy tasks. It comes with an Intel Core i5 processor and 8GB of RAM, which makes it very powerful for processing large amounts of data.
Display and Graphics Card:
The display on the Acer Swift 3 is of excellent quality and will let you see what you’re working on clearly. Additionally, the graphics card is also very good, which makes it perfect for data science tasks that require a lot of processing power.
RAM and Storage:
The Acer Swift 3 comes with 8GB of RAM, which is enough to handle most data science tasks. Additionally, it has a storage capacity of 512GB SSD, so you can easily store all of your projects and data files.
Size and Weight:
The Acer Swift 3 is a thin and lightweight laptop, which makes it very portable.
Battery Life and Keyboard:
The battery life on the Acer Swift 3 is excellent, and it will last for around 12 hours before you need to recharge it. The keyboard is also very good quality, which makes it easy to take your laptop with you wherever you go.
Additional Features:
The Acer Swift 3 also has a number of additional features that make it great for data scientists. These include an SD card reader, a fingerprint reader, and a backlit keyboard.
Final Thoughts:
Overall, the Acer Swift 3 is a great laptop for data scientists who need to be able to handle a lot of heavy tasks. It comes with excellent battery life, a powerful processor, and a good-quality display.
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11. MSI GS65
MSI GS65 is an ultra-thin and powerful gaming laptop that can handle data science workloads with ease. With a powerful i7-8750H 6 Core processor, 16GB DDR4 RAM, and NVIDIA GTX 1060 graphics, it’s a great choice for data science work on the go.
Key Features:
If you’re looking for a laptop that can handle data science and other heavy workloads, the MSI GS65 is a great option. It has an Intel Core i7-8750H processor and 16GB of memory, allowing you to run multiple programs simultaneously without having to worry about lag or slowdown. Plus, its NVIDIA GeForce GTX 1060 Max-Q graphics card gives you the horsepower you need to crunch numbers or render complex images. Best of all, it has a backlit keyboard and colourful backlight logo, making it easy to work in low-light conditions.
Performance and Portability:
The MSI GS65 is a powerful laptop that can handle a lot of data science and other heavy workloads. Its Intel Core i7-8750H processor and 16GB of memory allow you to run multiple programs at the same time without having to worry about lag or slowdown. Plus, its portability and backlit keyboard make it easy to work in low-light conditions.
Display and Graphics Card:
The MSI GS65 has a great graphics card that can handle complex images or data science calculations. Its NVIDIA GeForce GTX 1060 graphics card gives you the horsepower you need to crunch numbers or render complex images.
RAM and Storage:
The MSI GS65 has a lot of RAM (16GB) and storage (256GB), allowing you to work with large files or datasets without worrying about running out of space.
Size and Weight:
The MSI GS65 is a big and heavy laptop, but it’s still portable enough to take with you wherever you go.
Battery Life and Keyboard:
The MSI GS65 has a long battery life (up to 12 hours) and a backlit keyboard that makes it easy to work in low-light conditions.
Additional Features:
The MSI GS65 also has a number of additional features that make it a great choice for data science and other heavy workloads. These include an SSD for faster boot times and storage, a backlit keyboard and colourful backlight logo, and an Intel Core i7-8750H processor.
Final Thoughts:
The MSI GS65 is a powerful laptop that can handle data science and other heavy workloads. Its NVIDIA GeForce GTX 1060 graphics card gives you the horsepower you need to crunch numbers or render complex images. Plus, its long battery life and backlit keyboard make it easy to work in low-light conditions. If you’re looking for a laptop that can handle data science and other heavy workloads, the MSI GS65 is a great option.
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12. Alienware M15 R6
The Alienware M15 R6 is a powerful gaming laptop that also serves as one of the best laptops for data science, thanks to its high-end hardware specs and sleek design.
Key Features:
Alienware is a well-known brand for gaming laptops, and for a good reason. They make some of the best gaming laptops on the market. The M15 R6 is one of their latest offerings, and it’s perfect if you need a laptop for data science.
The M15 R6 has an Intel Core i7-11800H processor, 16GB of RAM, 512GB SSD, and an NVIDIA GEFORCE RTX 3060 graphics card. This laptop has everything you need to do your data science work, including a backlit keyboard, powerful processing, and robust storage.
Performance and Portability:
The M15 R6 is a powerful laptop that delivers on its performance promises. Its Intel Core i7-6700HQ processor is able to handle most tasks you throw at it, and its NVIDIA GEFORCE RTX 3060 ensures smooth graphics performance.
The M15 R6 also has a lot of portability to offer. It has a sleek design and is lightweight, so you can take it with you wherever you go. Plus, its 512GB SSD gives you plenty of space to store your data and files.
Display and Graphics Card:
The M15 R6’s display is one of its strong points. It has a backlit keyboard that makes it easy to work in low-light conditions, and its 14-inch display is large enough to see clearly. Plus, the graphics card on this laptop is able to deliver smooth graphics performance, so you can enjoy your games or data science projects without any lag.
RAM and Storage:
The M15 R6 is also able to offer plenty of RAM and storage. It has 16GB of RAM, which is enough for most data science tasks, and it has a 512GB SSD for storing your files and data.
Size and Weight:
The M15 R6 is a large and heavy laptop, but that’s okay if you need a laptop for data science. It has a sleek design that makes it look good, and its weight provides plenty of stability when you’re working on your projects.
Battery Life and Keyboard:
The M15 R6 also has good battery life. It can last up to five hours when you’re using it for data science, which is longer than most laptops in this category. The keyboard on this laptop is also excellent. It’s backlit and has comfortable keys that make it easy to work for long periods of time.
Additional Features:
The M15 R6 also has a lot of additional features that are perfect for data science. It has a Windows 10 operating system, so you can use it to do your data science work, and it has a number of ports, including two USB 3.0 ports and an HDMI port.
Final Thoughts:
The M15 R6 is one of the market’s best laptops for data science. It has a powerful processor, plenty of RAM and storage, and a sleek design that makes it look good. Plus, its backlit keyboard makes it easy to work in low-light conditions. If you need a laptop for data science, the M15 R6 is definitely the best option available.
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13. ASUS VivoBook Pro 17
Looking for the best laptops for data science? Look no further than the ASUS VivoBook Pro 17. This thin and portable laptop features an 8th Gen Intel Core i7 processor, NVIDIA graphics, 8GB DDR4 RAM, and a 512GB SSD. With a large 17.3″ FHD screen and backlit keyboard, it’s perfect for crunching numbers and coding on-the-go.
Key Features:
Looking for a laptop that can help you with your data science endeavours? Look no further than the ASUS VivoBook Pro 17. This laptop has all of the bells and whistles you need to get comfortable working with data, from a powerful processor to plenty of storage space. Plus, it has been designed specifically with data scientists in mind, so you can be sure you’ll have everything you need to complete your work. If you’re looking for a laptop that is built specifically for data science, then the ASUS VivoBook Pro 17 is definitely worth considering.
Performance and Portability:
The ASUS VivoBook Pro 17 is a powerhouse when it comes to performance and portability. It has a powerful Core i7 processor and 8GB of memory, allowing you to easily work with large data sets. Plus, its lightweight design means that you can take it with you wherever you go.
Display and Graphics Card:
The ASUS VivoBook Pro 17 also has a high-quality display and graphics card, which ensures that you’ll be able to work with your data in high definition.
RAM and Storage:
The ASUS VivoBook Pro 17 also has a generous amount of RAM and storage space, which will allow you to store your data files and work with them without any problems.
Size and Weight:
The ASUS VivoBook Pro 17 is a lightweight laptop, which makes it easy to take with you wherever you go.
Battery Life and Keyboard:
The ASUS VivoBook Pro 17 also has a long battery life and a comfortable keyboard, making it easy to work on your data for hours.
Additional Features:
The ASUS VivoBook Pro 17 also comes with a number of additional features, such as a backlit keyboard and a fingerprint reader. This makes it easy to access your data and keep track of your login information.
Final Thoughts:
If you’re looking for a laptop that is specifically designed for data science, then the ASUS VivoBook Pro 17 is definitely worth considering. Its powerful processor and ample storage space will make it easy for you to work with large data sets, while its lightweight design and long battery life make it easy to stay productive all day long.
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14. Lenovo ThinkPad X1 Carbon
Looking for the best laptop for data science? The Lenovo ThinkPad X1 Carbon is a powerful ultrabook with a 10th Gen Intel i7 processor, 16GB RAM, and 1TB PCIe SSD storage.
Key Features:
The Lenovo ThinkPad X1 Carbon is perfect for data science and machine learning. It features a powerful yet quiet CPU and GPU, making it great for crunching numbers or training deep-learning models. Additionally, the ThinkPad X1 Carbon has plenty of ports and storage to allow you to work with large datasets without any problems.
Performance and Portability:
The ThinkPad X1 Carbon is a powerful machine, and it is great for data science and machine learning tasks. The CPU and GPU are both powerful and quiet, making them great for crunching numbers or training deep-learning models. Additionally, the portability and storage capabilities of the ThinkPad X1 Carbon are excellent, allowing you to work with large datasets without any problems.
Display and Graphics Card:
The display on the ThinkPad X1 Carbon is excellent, providing clear graphics and text. Additionally, the graphics card is powerful and allows you to play most modern games without any problems.
RAM and Storage:
The RAM on the ThinkPad X1 Carbon is ample, and as such, it is able to handle most data science and machine learning tasks without any problems. Additionally, the ThinkPad X1 Carbon storage is plentiful, allowing you to store large datasets without any issues.
Size and Weight:
The size and weight of the ThinkPad X1 Carbon are excellent, making it easy to carry around and use. Additionally, the ThinkPad X1 Carbon is quiet, allowing you to work peacefully.
Battery Life and Keyboard:
The battery life on the ThinkPad X1 Carbon is excellent, providing up to 12 hours of use. Additionally, the keyboard on the ThinkPad X1 Carbon is excellent, providing a great typing experience.
Additional Features:
The additional features of the ThinkPad X1 Carbon include a backlit keyboard, a fingerprint reader, and Windows Hello support. All of these features make the ThinkPad X1 Carbon an excellent choice for data science and machine learning tasks.
Final Thoughts:
Overall, the Lenovo ThinkPad X1 Carbon is an excellent choice for data science and machine learning tasks. The powerful yet quiet CPU and GPU, plentiful storage, and excellent battery life make the ThinkPad X1 Carbon a great choice for any data scientist or machine learning modeller.
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15. LG Gram 17Z90P
The LG Gram 17Z95P is a powerful and ultra-lightweight laptop with an 11th Gen Intel Core i7 processor, 16GB RAM, and 2TB SSD storage – perfect for data science tasks.
Key Features:
The LG Gram 17Z90P is the perfect laptop for data science. It has an Intel Core i7-8250U processor and 16GB of memory. This laptop also comes with a 2TB SSD and an INTEL XE GRAPHICS graphics. The LG Gram 17Z90P has a 15.6-inch screen and is lightweight and easy to carry around.
Performance and Portability:
The LG Gram 17Z90P has an Intel Core i7 processor and 16GB of memory, making it great for data science. The 15.6-inch screen is also perfect for data analysis, and the lightweight and portable design make it perfect for the on-the-go.
Display and Graphics Card:
The LG Gram 17Z90P comes with an INTEL XE GRAPHICS graphics, making it great for data science. The display on this laptop is also excellent, with a resolution of 1920 x 1080. This ensures that you can see all of your data easily.
RAM and Storage:
The LG Gram 17Z90P has 16GB of memory which is great for data science. The 2TB SSD is also perfect for storing your data and makes this laptop ideal for data analysis.
Size and Weight:
The LG Gram 17Z90P is a small, lightweight laptop that makes it easy to carry around. It also has dimensions of 12.9 x 9.1 x 0.8 inches which makes it ideal for taking to work or school.
Battery Life and Keyboard:
The LG Gram 17Z90P has a battery life of up to 7 hours which is great for data science. The keyboard on this laptop is also excellent with a backlight and is easy to use.
Additional Features:
The LG Gram 17Z90P also has a number of additional features which make it perfect for data science. These features include an SD card reader and a webcam.
Final Thoughts:
The LG Gram 17Z90P is the perfect laptop for data science. It has an Intel Core i5-8250U processor and 8GB of memory, making it great for data analysis. The 15.6-inch screen is also perfect for data analysis, and the lightweight and portable design make it perfect for the on-the-go.
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Some Most Frequently Asked Questions About The Best Laptops for Data Science
Here are some of the most frequently asked questions about laptops for data science:
How much RAM should I get in my next laptop for data science?
RAM is the most important factor for data science laptop shoppers. Ram is your laptop’s memory that helps speed up your computer by allowing multiple applications to run simultaneously. For data scientists who work with large files and need to run lots of calculations, 8GB of RAM should be enough. If you’re only an occasional user or don’t plan on doing something other than heavy computing during your day job, then 4GB of RAM should suffice.
How much storage space should I get in my next laptop for data science?
You’ll need a laptop with at least 8GB of storage space for data science. This will allow you to store all your data exploration files and data analysis results. Laptops with 16GB or more of internal storage are usually good options for data science work as they provide enough space for data storage and analysis workflows. Additionally, get USB Type-C ports if you’re using a lot of external devices while working on data science projects.
Which processor is best for a new laptop for data science?
If you are looking for the best processor for data science on a laptop, an Intel Core i7 is your best bet. Other great processors include the AMD Ryzen 5 and 6 series as well as the Nvidia GeForce GTX 1050 Ti graphics card. In addition, you’ll need 4GB of RAM and a 500GB hard drive for storage.
Conclusion:
Data science is a rapidly growing field that requires a powerful laptop to do its job. This blog has compiled a list of the best laptops for data science based on various factors such as processing power, graphics card, battery life and portability. So, whether you are a data scientist just starting out or an experienced professional, make sure to check out our list of the best laptops for data science.
