Last Updated on 13/09/2023 by Dolly
Wouldn’t it be great to know which laptops are most suited for your purpose if you are a data scientist looking for the perfect laptop for your Data Science career?
You have a lot of options, but which is the best laptop for data science? The one who satisfies all of your demands and requirements? You may spend hours poring over specifications and reviews.
To work with various data kinds and insights, you’ll need a laptop with a speedy operating system, a fast processor, and sufficient storage for balanced performance. If you’re a data science student, you’re probably doing your work on a laptop. Here we have selected the Top 10 Best Laptops for Data Science 2023.
To accomplish their duties efficiently, data scientists want powerful processors with plenty of memory. The difficulty is that it’s impossible to discover a laptop suitable for data science without spending hours researching numerous possibilities, reading reviews, and digging through the features of each.
Top 10 Best Laptops for Data Science
The HP Envy 17 T is a combination of pride and power, with an Intel Core i7 processor to improve laptop performance. It has a 4GB NVIDIA GeForce MX250 GPU, which allows you to easily engage in neural networking and other deep learning tasks. The 4 GB of VRAM provides amazing graphics performance and makes data analysis easier.
The 17.3-inch FHD display features IPS touch and a 1920 X 1080 resolution, providing an adequate area to study data and allowing you to multitask.
The battery provides up to 10 hours of activity as well as multitasking. HP has outfitted the Envy 17 with 16 GB RAM and 256 GB SSD storage, allowing you to easily save your data and install your favorite data science software.
Furthermore, this laptop includes a backlit, island-style keyboard, as well as a highly intuitive touchpad. With this laptop, you can enjoy good sound while watching videos, listening to music, or creating music. It comes with the Windows 10 operating system; however, other operating systems can be installed if necessary. Overall, the HP Envy 17T features a powerful processor and a good battery life.
- Amazing display
- Sleek and stunning design
- Excellent GPU
- The best HP laptop for data analysis
- A lot of extras not found in many other laptops
- Battery can drain quickly when put to the test
The Lenovo Thinkpad P53s is an excellent choice for data mining and visualization. It has a strong Intel Core i7-8565 U CPU, which improves your laptop’s performance when multitasking and makes switching software easier.
The NVIDIA Quadro P520 graphics card and 2GB of VRAM memory are standard on the ThinkPad P53s. The GPU enables the display of required colors for visualization, which are more suited to the data-centric requirement.
Lenovo has fitted the Thinkpad X1 and P53s with 16GB of RAM, which works well with the processor and the workstation-centric CPU. The 512GB SSD gives ample storage space to collect and render data more quickly. The SSD plays an important role in reducing boot-up time.
The monitor is 15.6 inches in size and has a full HD 1920 x 1080 resolution. Most data scientists choose a laptop with a lighted, ergonomic keyboard and a responsive touchpad. This laptop will meet these criteria while also providing an outstanding typing experience.
It also has a fingerprint sensor for safe data protection. In terms of battery life, the Lenovo Thinkpad P53s may last up to 14 hours on a single charge. The Lenovo Thinkpad P53s is not a flashy option, but its excellent performance elevates it to the list of best laptops for data science.
- Comes with a fingerprint scanner
- Amazing graphics & memory
- Responsive screen
- Impressive keypad
- Webcam could be better
This laptop is a slightly different choice for the best data science laptop. It lacks a well-known name, but that doesn’t mean it can’t perform admirably when it comes to processing enormous volumes of data. This laptop, on the other hand, is an excellent pick for an enterprise-level data scientist searching for a powerful workstation that exhibits intellect while executing data chores.
The TensorBook is powered by an Intel Core i7-10875 CPU with eight cores and 16 threads thanks to Hyper-threading technology. It has an NVIDIA Geforce RTX 2080 Super Max-Q GPU with 8 GB VRAM to help you be more productive.
It has a 15.6-inch Full HD OLED display with a 1920 x 1080 resolution, giving you enough room to experiment with diverse data. It operates at a refresh rate of 144 hertz. One aspect that catches our eye is that it stays cool even in harsh conditions and protects your laptop from heat.
TensorBook has outfitted this laptop with 64GB RAM (yes, you read that correctly) and a 2TB SSD (alas!) so you can collect and save any data without worrying about storage growing full and the machine freezing. It’s not going to happen with this monster laptop! This laptop’s battery life is below average, lasting only 2 hours. TensorBook laptops are intended for machine learning and data science applications. If you want to work in data science, this laptop is our third choice and a solid candidate.
- Excellent Memory
- Specially designed laptop for data science
- OLED display Panel
- Powerful processor
- Below average Battery life
The Asus ROG Strix Scar III is an excellent alternative to a data science workstation that easily meets your data needs. This laptop is designed for gaming, but it also works well in data situations. This laptop is capable of handling everything you throw at it.
It has a strong Intel Core i7-9750 H CPU with a turbo clocking speed of up to 4.5 GHz. The processor enables you to install Linux distributions alongside the present operating system on the laptop. It has a powerful NVIDIA GeForce RTX 2070 GPU that is quick and has 8 gigabytes of VRAM.
It has 16GB of RAM and 1TB of SSD storage, therefore it performs incredibly well with data science software; if you collect and analyze data and render it with applications such as SAS, Apache Spark, Excel, and so on.
The display is 15.6-inch in size and has a resolution of 1920 X 1080 pixels.
It boasts a gorgeous keyboard with curved keycaps and a clean interface. The gadget boasts a responsive touchpad and is compatible with ROG Keystone.
The battery life is average, lasting 6 hours — as one would expect from a powerful laptop.
The Asus ROG Strix Scar III works flawlessly with a variety of data and is an excellent pick for the finest data science laptop.
Asus is one of the most promising businesses that has been making gaming laptops for quite some time. Most experts who work in graphics design, image editing, and app development want a platform that offers a variety of app development alternatives.
Developing an app on an app-building platform with limited resources might be a difficult task. It is possible that you will need to use updated plugins, install the required software, and then retry the app testing procedure.
One such procedure takes a long time. You don’t have to worry about those problems with Rog Strix Scar III. This laptop model is particularly well-equipped with a strong processor CPU that efficiently handles all graphics-intensive tasks.
While a software application is running, other laptops may take several minutes, if not hours, to respond. However, with the Asus Rog Strix Scar III, you may download and install the entire software as well as their latest plugins.
This gradually reduces your work in installing the necessary plug-ins one by one. That’s another reason to get one of these laptops for yourself.
If you’re a gaming enthusiast, this laptop should be on your shopping list. This is due to the NVIDIA RTX GeForce 2070 processor CPU’s 8GB DDR6 dedicated RAM memory.
The 1215 MHz speed is adequate for retrieving and launching large applications on your laptop. Not only that, but the 1440 MHz boost in this laptop also comes with 115 W.
The 9th generation Intel Core i7 9750 H processor has a clock speed of 240 Hz. The 15.6-inch display panel offers a 1920*1080 IPS resolution. One such screen is required for displaying the app’s loaded web pages with high graphics resolution.
If you need to test the application on your device, ordinary laptops with inadequate display displays may be unable to load the high graphics resolution heavy images. You never expect the same thing to happen again and again with the Asus Rog Strix Scar III.
- 8GB DDR6 VRAM memory for graphics-intensive tasks.
- 9th generation intel core i7 9750h Processor CPU.
- 1TB PCIe NVMe SSD with 16GB DDR4 memory.
- GIgabit Wave 2 internet with Wi-Fi 5 support.
- Rog intelligent cooling thermal system with dual 12 V fans.
- Triple Radiator, Anti-Dust technology, and adjustable fan modes.
- No ThunderBolt USB port.
The Razer Blade Pro 17 is a handsome and engaging laptop with a more robust build and a more expensive appearance. It includes a strong Intel Core i7-9750 H chipset, which allows your PC to run well even when multitasking.
The NVIDIA GeForce RTX 2060 GPU in the Razer Blade PRO 17 is an outstanding choice for data visualization and rendering. It includes 6 gigabytes of functional VRAM to improve graphics performance.
It has 512GB SSD storage and 16GB RAM, which provides adequate room for you to collect vital data while working.
The 17.3-inch display panel is ideal for data analysis since it allows you to work with numerous spreadsheets and programs.
It includes a snappy trackpad as well as an ergonomic and lighted keyboard. The Razor Blade offers outstanding features such as face unlock, Window Hello compatibility, and an IR sensor.
The lightweight design and aluminum chassis add to the laptop’s durability. It has USB 3.2 and Thunderbolt 3 connectors for connecting various devices to the laptop. You also get wireless and Bluetooth connectivity for more productivity.
The battery life is adequate, lasting 8 hours on a single charge. The Razer Blade Pro 17 is a gaming laptop, but it’s also an outstanding choice for the best laptop for Data Science due to its excellent functionality.
Razer Blade is one of the world’s leading manufacturers of gaming laptops. Razer Blade’s Pro 17 variant comes with a no-compromise powerful CPU chip.
It is intended for 4K+ gaming, but it is also appropriate for data science-based app development. For all such innovative labor, the high-performance vapor chamber cooling system is highly dependable. Its 1*25 Gbit Ethernet port offers wireless 802.11 axes connectivity.
For high graphics-intensive work, the connectivity is quite reliable. The NVIDIA chipset graphics processor GPU has an RTX Max Q Quad-Core processor and 8GB of dedicated graphics RAM memory.
Not only that, but this model includes 16GB of dedicated DDR4 RAM memory as well as a 512 GB SSD slot. The same slot is required for storing a large number of setup.exe installer files.
In most cases, people will look for graphics-intensive activities in the long run. It comes with a CNC aluminum unibody designed for high-performance CPU-intensive operations.
Ordinary laptops may not be able to handle these tasks if you intend to test or conduct graphics-intensive program testing. This, on the other hand, is a no-compromise model.
Whether it’s for operating 4K+ gaming resolutions or a 0.78″ inch thin vapor chamber cooling system, it minimizes heat while your CPU executes graphics-intensive tasks.
The extra NVIDIA GeForce 2080 RTX Max Q graphics processor memory with 8GB graphics RAM never causes the app development plugins to fail during installation. Once installed, the software never slows down while in use. Another advantage of using this laptop model for developing various apps is its portability. A developer must test the responsiveness of a mobile app while developing it. This is critical in hybrid and native app development. Before going live, the majority of mobile apps must be sufficiently responsive. As a developer, you can’t afford to ignore the application’s cross-browser responsiveness. The Razer Blade Pro 17 should be your first priority for any such heavy-duty activity. That is why you require a laptop model that can do all of these duties efficiently. That’s another advantage of putting the Razer Blade Pro 17 at the top of your shopping list.
- Elegant design
- Eye-catching keyboard
- Impressive display
- A little bit heavy
Apple is one of the most trustworthy and reliable companies in the world, and no other brand can compete with it when it comes to electrical things. Data scientists adore Apple for their data privacy and data on the subject. Apple’s popularity is at an all-time high.
The Apple MacBook Pro is equipped with a powerful 9th-generation Intel Core i7 CPU with a base clock speed of up to 2.6 GHz. The core plays an important part in the performance of data science, and Apple provides 6 cores to provide you with enough performance while dealing with data.
Moving on to the GPU, the Apple MacBook Pro has an AMD Radeon Pro 5300M GPU that works in tandem with 4 gigabytes of built-in VRAM to provide the best graphics performance possible.
Apple has outfitted the MacBook Pro with 16 GB of RAM and 512 GB of SSD to ensure ultra-fast and adequate storage capacity for data scientists.
The Apple laptop runs Mac OS, thus if you need to work with data science applications, it must be Mac OS compatible; otherwise, you must install Windows OS that runs with Boot Camp.
The display is rather good, with a 16-inch screen and 3072 X 1920 pixels that take data visualization to the next level. In terms of the keyboard, Apple has supplied a good one that allows for more comfortable typing.
Furthermore, Apple provides up to 11 hours of battery life, making it a good choice for data science. The Apple MacBook Pro is definitely impressive in terms of speed and computational capability.
If you’re looking for a laptop that allows you to develop iOS and Android apps without interfering with other programs, the Apple MacBook Pro should be at the top of your list.
In comparison to other existing laptop models on the market, the 9th generation 6Core Intel Core i7 processor CPU is unrivaled. The stunning 16-inch retina display with True Tone technology gives you plenty of room to view an app you’ve created.
While other laptops may crash while attempting to run those applications, your Apple MacBook Pro from a later version of Apple can outperform those standard versions.
Apple’s newest models include Touch Bar and Touch ID. Finding all of these features in a single laptop is a once-in-a-lifetime opportunity. Testing a hybrid mobile app on your laptop might be a pain if your processor CPU becomes slow and overworked.
If a large number of unneeded files take up a large portion of your system’s cache memory, the graphics processor cannot help.
The most recent model of Apple MacBook Pro came up with a solution by including an AMD Radeon graphics processor to power up the iCore 7 8 Core processor CPU given in this gadget.
It will never let any other interruptions to trouble your processor CPU while your task is being done. The ultra-fast SSD storage device included with this laptop is useful for storing sections of executable setup files. Even if you intend to keep the installer files on your laptop, you should not be concerned. That’s because updating the plugins and associated files required to operate the application is never going to be a simple task.
The graphics card’s high bandwidth 8GBM2 memory can run at 3.5X speed. The 64GB DDR4 RAM memory on your smartphone can store a large number of files. Such a large storage unit can easily contain your game installation files, setup.exe files, and other graphics-intensive files.
- Long battery life
- Retina Display
- Amazing Graphics support
- Built with Apple trust
- A Little bit pricey
The Asus Zenbook 14 is one of the most inventive and imaginative options for the finest data science laptop.
It features a fast Intel Core I7-10th generation 510U CPU with turbo clock speeds of up to 4.9 GHz.
Acer created the Zenbook 14 with an NVIDIA GeForce MX 250 GPU and 2GB VRAM memory, which gives great graphics.
It has 16GB of RAM and 512GB of SSD storage to collect and store data for software like Excel, SAS, and others.
It has a 14-inch screen with 1920 x 1080 pixels and Nano-edge display technology. Furthermore, it features a display-to-body ratio of 92 percent and thrives in the 2.9 mm ultra-thin bezels for a superior visual experience.
It has a 12-hour battery life, so you can take it anywhere and work on your dream projects all day. In contrast to the Asus Zenbook 13, the Zenbook 14 is one of the more obvious alternatives for a budding data scientist.
- Equipped with the Latest 10th-generation processor
- Excellent Nano Edge Bezel display
- Long battery life
- Storage could have been better
- Not an ideal choice for Neural Networking
If you’re seeking the best 2 in 1 laptop for data science, the Lenovo Yoga 730 is likely to be the machine for you.
Its two-in-one functionality allows you to thoroughly evaluate data and deliver an accurate solution for data. With this laptop, you can work efficiently with spreadsheets, pivot tables, data tables, and so on.
Lenovo has equipped it with a strong Intel Core i5-8265 U processor, allowing you to easily manage complicated data and analytic requirements. When it comes to GPUs, Intel, not NVIDIA, is the manufacturer. In terms of performance, the Intel integrated UHD 620 graphics engine is effective yet powerful.
It has 12 GB of RAM and 256 GB of SSD storage, which is plenty for data collection and storage.
This laptop comes with the Windows 10 operating system; nevertheless, it allows you to install your chosen operating system, which you may find compelling, such as Linux, and so on.
In terms of display, it has a lengthy 15.6-inch big touchscreen display with a resolution of 1920 X 1080 pixels. You can also enjoy the advantages of excellent viewing angles and unrivaled visual clarity.
While entering or rendering data, the ergonomic and lighted keyboard delivers a distinct experience. The keys are easy to press and made of high-quality materials, assuring the keypad’s longevity.
It is a 2-in-1 laptop, but Lenovo does not skimp on battery life, offering 8 hours of extended battery life with constant use.
- 2 in 1 laptop
- Quick Touch sensor and response rate
- A powerful device
- Enough space for data
- Not built with NVIDIA
The Acer Swift 3 is great for a data scientist who must work with data visualization, mining, and spreadsheets. It has a powerful Intel Core i7 processor, a turbo clocking speed of up to 4.6 GHz, and a convincing performance.
It has an NVIDIA GeForce MX 150 GPU that supports up to 2 gigabytes of VRAM. You can easily multitask and store important data with its 8GB RAM and 256GB SSD storage. GPUs that are highly suited for professional and data-centric needs.
Acer has outfitted the Swift 3 with 8 GB of RAM and 256 GB of SSD storage, allowing you to simply install data scientist software and undertake data mining or other forms of data work. The illuminated keyboard with a sensitive touchpad boosts your productivity in all situations.
Aside from that, Acer has included outstanding sound and networking options such as Wi-Fi and Bluetooth 5.0. If your data science job is being done on a remote server, you can take advantage of its powerful Wi-Fi.
The battery is also quite good, lasting about 12 hours. Overall, the Acer Swift 3 is a strong device with good performance and long battery life.
- Long battery life
- Lightweight design
- Excellent performance
- Eye-catching design
- RAM could be better
Dell Laptops has done a fantastic job of creating durable, long-lasting laptops that are also affordable. The Dell XPS 15 7590 has a narrow border and lightweight design that makes it easy to transport and an excellent choice for remote data science work.
It has a powerful Intel Core i7-9750 CPU with a turbo speed of up to 4.5 GHz. You also receive the benefits of the NVIDIA GeForce GTX 1650 GPU, which has a powerful 4 GB of RAM. This laptop comes with the Windows 10 operating system.
Dell has supplied the XPS with 16 GB of RAM, which allows you to perform data jobs efficiently and effectively. Aside from that, you get a 256 GB SSD storage drive for faster boot times and data processing.
The display measures 15.6 inches and has a resolution of 3840 X 2160 pixels. It has a battery life that can last up to 14 hours.
Data science is the future frontier for analytical computing and is critical to machine learning breakthroughs.
Data scientists require powerful laptops because they are constantly manipulating massive datasets of gigabytes or even terabytes of data at once, running complex algorithms over those datasets, building predictive models, and creating interactive web visualizations – all while developing hypotheses about what is driving changes in the data and testing them against various scenarios.
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