Best Laptops for Data Science

Hey folks! Searching for best laptops for data science? Here your search ends.

A data science laptop is a computer specifically designed to handle the demands of data science work, such as large data sets, complex statistical analyses, and machine learning algorithms.

Data science laptops typically have fast processors, plenty of memory (RAM), and large storage capacity to support these tasks. They may also have dedicated graphics cards to help with data visualization and machine learning tasks, and high-resolution displays for data analysis and visualization.

Data science laptops are often portable, with lightweight designs and good battery life, so that data scientists can take them with them to meetings or work from different locations. They may also come with software such as Python, R, and SQL pre-installed, which are commonly used in data science work.

Specifications Required of Laptops for Data Science

There are a few key factors to consider when looking for the best laptops for data science:

Processor: Data science work often involves running complex algorithms and processing large amounts of data, so it’s important to have a fast processor. Laptops with Intel Core i5 or i7 processors or AMD Ryzen 5 or 7 processors are generally a good choice.

Memory: You’ll also want a laptop with plenty of memory (RAM) to ensure that your data science programs and applications can run smoothly. 8GB or 16GB of RAM is generally a good amount for data science work.

Storage: You’ll need sufficient storage space to store your data sets and the software you’ll use for your data science work. Laptops with solid-state drives (SSDs) tend to be faster and more reliable than those with traditional hard drives, so you may want to consider an SSD for your data science laptop.

Graphics: If you’ll be working with data visualization or machine learning, you may want a laptop with a dedicated graphics card to handle the additional processing power required.

10 Best Laptops for Data Science in 2023

MSI GL65 Leopard: Best Laptop for Data Science

The MSI GL65 Leopard is a gaming laptop that was released in 2020. Here are the key specifications for the laptop:

Processor: 10th generation Intel Core i7-10750H processor (6-core, 2.6 GHz base clock speed, up to 5.0 GHz boost clock speed)

Graphics: NVIDIA GeForce GTX 1660 Ti graphics card with 6 GB of dedicated memory

Memory: 16 GB DDR4 RAM (expandable to 32 GB)

Storage: 512 GB NVMe SSD

Display: 15.6-inch Full HD IPS display with a resolution of 1920 x 1080 pixels

Keyboard: Steel series single-color backlight keyboard

Audio: Nahimic 3 audio software, 2x 2W speakers

Connectivity: Wi-Fi 6 (802.11ax), Bluetooth 5.1

Ports: 3x USB 3.2 Gen 1 ports, 1x USB 3.2 Gen 2 Type-C port, 1x HDMI port, 1x mini DisplayPort, 1x RJ-45 Ethernet port, 1x SD card reader

Dimensions: 14.08 x 9.75 x 0.85 inches

Weight: 4.85 pounds

Top Pick

MSI GL65 Leopard: Best Laptop for Data Science

MSI GL65 Leopard

MSI GL65 Leopard 10SFK-062 15.6″ FHD 144Hz 3ms Thin Bezel Gaming Laptop Intel Core i7-10750H RTX2070 16GB 512GB NVMe SSD Win 10

Lenovo Legion 5: Budget Laptops for data science

The Lenovo Legion 5 is a gaming laptop that was released in 2020. Here are the key specifications for the laptop:

Processor: Up to 10th generation Intel Core i7-10750H processor (6-core, 2.6 GHz base clock speed, up to 5.0 GHz boost clock speed)

Graphics: Up to NVIDIA GeForce RTX 2060 graphics card with 6 GB of dedicated memory

Memory: Up to 16 GB DDR4 RAM (expandable to 32 GB)

Storage: Up to 1 TB PCIe NVMe SSD

Display: 15.6-inch Full HD IPS display with a resolution of 1920 x 1080 pixels (optional upgrade to a 144Hz refresh rate)

Keyboard: 4-zone RGB backlit keyboard

Audio: 2x 2W Harman Kardon speakers with Dolby Atmos support

Connectivity: Wi-Fi 6 (802.11ax), Bluetooth 5.0

Ports: 3x USB 3.1 Gen 1 ports, 1x USB 3.1 Gen 2 Type-C port, 1x HDMI 2.0 port, 1x mini DisplayPort 1.4, 1x RJ-45 Ethernet port, 1x SD card reader

Dimensions: 14.3 x 10.22 x 0.9 inches

Weight: 5.17 pounds

2nd Pick

Lenovo Legion 5: Budget Laptops for data science

Lenovo Legion 5

Lenovo – Legion 5 – Gaming Laptop – AMD Ryzen 5 5600H – 8GB DDR4 RAM – 512GB NVMe TLC SSD – NVIDIA GeForce RTX 3060 Graphics – 15.6″ FHD 120 Hz – Windows 11 Home – Phantom Blue.

Acer Nitro 5 Gaming Laptop: Cheap laptop for data science

The Acer Nitro 5 is a budget gaming laptop that offers decent performance for its price. Here are some of its key specifications:

Processor: The Nitro 5 is available with a range of processors, including Intel Core i5, i7, and i9 options, as well as AMD Ryzen 3, 5, and 7 options.

Graphics: The Nitro 5 comes with a dedicated graphics card, such as an NVIDIA GeForce GTX 1650 or 1660 Ti.

Memory: The Nitro 5 is available with up to 32GB of DDR4 RAM.

Storage: The Nitro 5 is available with a variety of storage options, including hard drives, solid-state drives, and hybrid drives.

Display: The Nitro 5 has a 15.6-inch Full HD IPS display with a resolution of 1920 x 1080 pixels.

Keyboard: The Nitro 5 has a backlit keyboard with dedicated numeric keypad.

Connectivity: The Nitro 5 has a range of connectivity options, including WiFi, Bluetooth, HDMI, USB 3.1, and a SD card reader.

Battery: The Nitro 5 has a 4-cell lithium-ion battery that provides up to 6 hours of battery life.

3rd Pick

Acer Nitro 5

Acer Nitro 5 Gaming Laptop, 10th Gen Intel Core i5-10300H,NVIDIA GeForce GTX 1650 Ti, 15.6″ Full HD IPS 144Hz Display, 8GB DDR4,256GB NVMe SSD,WiFi 6, DTS X Ultra,Backlit Keyboard,AN515-55-59KS

MSI GF65 Thin: Laptop for data science students

The MSI GF65 Thin is a gaming laptop with the following specifications:

Processor: 9th Gen Intel Core i7-9750H (6-core, 12 threads, 2.6 GHz base clock, 4.5 GHz boost clock)

Graphics: NVIDIA GeForce RTX 2060 (6 GB GDDR6)

Memory: 16 GB DDR4-2666

Storage: 512 GB NVMe SSD

Display: 15.6″ Full HD (1920×1080) IPS-level display, 60Hz refresh rate

Keyboard: Single-zone RGB backlit keyboard

Audio: Nahimic 3 audio software, 2x 2W speakers

Connectivity: Intel 9560 Jefferson Peak (2×2 802.11 ac), Bluetooth 5.0, Gigabit Ethernet port

Ports: 1x USB 3.2 Gen 2 Type-C, 3x USB 3.2 Gen 1 Type-A, 1x HDMI, 1x Mini DisplayPort, 1x SD card reader, 1x RJ45, 1x headphone/microphone combo jack

Dimensions: 14.13″ x 9.99″ x 0.85″

Weight: 4.1 lbs

Top Pick

MSI GF65 Thin: Laptop for data science students

MSI GF65 Thin

MSI GF65 Thin 10UE Gaming Laptop: 15.6″ 144hz IPS-Level Screen, Intel 10th Gen i5-10500H, NVIDIA GeForce RTX3060, 512GB SSD, 8GB Memory, Black

Apple MacBook Pro: Powerful Laptop for data scientist

There are many different models of the Apple MacBook Pro, each with its own set of specifications. Here is a general overview of some common features and specifications of the MacBook Pro:

Processor: The MacBook Pro is available with a variety of processors, including Intel Core i5, i7, and i9, as well as M1 chip. The specific processor in a MacBook Pro will depend on the model and generation.

Memory (RAM): The MacBook Pro is available with a range of memory (RAM) options, including 8GB, 16GB, 32GB, and 64GB.

Storage: The MacBook Pro is available with a range of storage options, including 128GB, 256GB, 512GB, 1TB, 2TB, and 4TB. The specific storage options available will depend on the model and generation.

Display: The MacBook Pro is available with a variety of display options, including 13-inch, 15-inch, and 16-inch displays. The specific display options available will depend on the model and generation.

Graphics: The MacBook Pro is available with a variety of graphics options, including integrated graphics and dedicated graphics cards such as the AMD Radeon Pro and the NVIDIA GeForce GT. The specific graphics options available will depend on the model and generation.

Connectivity: The MacBook Pro is available with a variety of connectivity options, including Wi-Fi, Bluetooth, and various ports such as USB-C and Thunderbolt. The specific connectivity options available will depend on the model and generation.

Operating system: The MacBook Pro is available with the latest version of the macOS operating system.

Top Pick

Apple MacBook Pro: Powerful Laptop for data scientist

Apple MacBook Pro

Apple MacBook Pro with 2.6GHz Intel Core i7 (16-Inch, 16GB RAM, 512GB Storage) – Silver

HP Envy 17T: Laptop for data scientist

The HP Envy 17T is a laptop that was released in the past, so the specific specifications may vary depending on the exact model and configuration you have. However, here are some general specifications that may be found in an HP Envy 17T laptop:

Processor: The HP Envy 17T may come with a range of processors, including Intel Core i5, i7, and i9 options.

Memory: The laptop may have 8 GB, 16 GB, or 32 GB of DDR4 RAM.

Storage: The HP Envy 17T may have a hard drive with a capacity of up to 2 TB, or a solid-state drive (SSD) with a capacity of up to 1 TB.

Display: The laptop may have a 17.3-inch Full HD or 4K display with a resolution of 1920 x 1080 pixels or 3840 x 2160 pixels, respectively.

Graphics: The HP Envy 17T may come with an integrated graphics card, such as the Intel UHD Graphics 620, or a dedicated graphics card, such as the NVIDIA GeForce MX250 or GTX 1650.

Connectivity: The laptop may have Wi-Fi 6 (802.11ax) and Bluetooth 5.0 for wireless connectivity, as well as a variety of ports, including HDMI, USB-C, and USB-A.

Keyboard and touchpad: The HP Envy 17T may have a full-size backlit keyboard and a large touchpad with multi-touch gesture support.

Other features: The laptop may come with a built-in webcam and microphone, a fingerprint reader for added security, and a number of pre-installed software applications.

Top Pick

HP Envy 17T: Laptop for data scientist

HP Envy 17T

HP Envy 17T 2021,i7-1165G7 11th Gen Quad Core,16GB RAM,1 TB NVMe SSD, 17.3″ FHD 1080p Touch,Thunderbolt 4,Win 11 PRO,WiFi 6,B&O Speakers,USB-A,Intel Xe Graphics,4 Cell, 64GB Tech Warehouse Flash Drive

Lenovo Thinkpad P53s: Professional laptop for data science

The Lenovo Thinkpad P53s is a laptop designed for business and professional use. It has the following specifications:

Processor: Intel Core i5-8265U (quad-core, 1.6 GHz base frequency, up to 3.9 GHz burst frequency) or Intel Core i7-8565U (quad-core, 1.8 GHz base frequency, up to 4.6 GHz burst frequency)

Operating system: Windows 10 Pro

Memory: 8 GB or 16 GB DDR4-2400 SDRAM (depending on configuration)

Storage: 256 GB or 512 GB PCIe NVMe solid-state drive (depending on configuration)

Display: 15.6-inch Full HD (1920×1080) IPS anti-glare display

Graphics: Intel UHD Graphics 620

Keyboard: Backlit keyboard with numeric keypad

Camera: 720p HD camera

Audio: Dolby Audio premium sound system

Ports: 2x USB 3.1 Gen 1 (one Always On), 1x USB-C 3.1 Gen 2, HDMI 1.4b, Gigabit Ethernet, headphone/microphone combo jack

Wireless: Intel Wireless-AC 9560, 802.11ac (2×2) Wi-Fi and Bluetooth 5.0 Combo

Security: Fingerprint reader, dTPM 2.0 chip

Battery: Up to 13 hours of battery life (depending on usage)

Dimensions: 14.4 inches x 9.76 inches x 0.74 inches (366.5 mm x 248.3 mm x 18.8 mm)

Weight: 3.9 lbs (1.8 kg)

Top Pick

Lenovo Thinkpad P53s: Professional laptop for data science

Lenovo Thinkpad P53s

Lenovo ThinkPad P53s Mobile Workstation Laptop – Windows 10 Pro, i7-8665U, 24GB RAM, 512GB PCIe NVMe SSD, 15.6″ 4K 3840×2160 HDR IPS, NVIDIA Quadro P520, Backlit Keyboard, 4G LTE WWAN

HP Spectre x360: Best laptops for data science

Here are the specifications for the HP Spectre x360:

Processor: Intel Core i5 or i7 (depending on the model)

RAM: 8GB or 16GB

Storage: 256GB or 512GB SSD

Display: 13.3-inch or 15.6-inch touchscreen (1080p or 4K resolution, depending on the model)

Graphics: Intel UHD Graphics

Keyboard: Backlit

Stylus: Yes

Fingerprint reader: Yes

Ports: 2x USB-C, 1x USB-A, 1x headphone/microphone combo jack

Webcam: Yes

Microphone: Yes

Operating system: Windows 10

Top Pick

HP Spectre x360: Best laptops for data science

HP Spectre x360

HP Spectre x360 Luxury 14T,13.5″ 3:2 WUXGA Touch,Intel i7-1165G7, 16GB RAM, 512GB SSD, Bang&Olufsen Quad Speakers, Fingerprint, Tilt Pen, Nightfall Black, Win 10 Pro, 64GB TechWarehouse Flash Drive

The Dell XPS 15 is a high-performance laptop with a 15.6-inch display. It is available in a few different configurations, so the specific specifications may vary depending on the model you choose. Here are some common features that you can expect to find on a Dell XPS 15:

Processor: The Dell XPS 15 is available with a variety of Intel Core processors, including the 10th and 11th generation. The specific processor will depend on the specific model and configuration you choose.

Memory: The Dell XPS 15 is available with up to 64GB of DDR4 RAM.

Storage: The Dell XPS 15 is available with a variety of storage options, including hard drive and solid state drive (SSD) options. The specific storage options will depend on the specific model and configuration you choose.

Display: The Dell XPS 15 has a 15.6-inch display with a resolution of up to 3840 x 2160 pixels. The display is available in both touch and non-touch versions.

Graphics: The Dell XPS 15 is available with a variety of graphics options, including integrated graphics and dedicated graphics cards. The specific graphics options will depend on the specific model and configuration you choose.

Connectivity: The Dell XPS 15 has a variety of connectivity options, including Wi-Fi, Bluetooth, and USB ports.

Other features: The Dell XPS 15 has a backlit keyboard and a fingerprint reader for added security. It also has a webcam and microphone for video conferencing.

Top Pick

Dell XPS 15: Popular Laptop for data science

Dell XPS 15

Newest Dell XPS 15 9510 Elite Laptop, 15.6″ FHD+ 500 Nits Display, Intel i7-11800H, RTX 3050Ti, 32GB RAM, 1TB SSD, IR Webcam, Backlit Keyboard, Fingerprint Reader, WiFi 6, Thunderbolt 4, Win 11 Home

MSI GS66 Stealth: Powerful Laptop for data science

The MSI GS66 Stealth is a high-performance laptop designed for gaming and productivity. Here are some of its key specifications:

Processor: Up to 10th Gen Intel Core i9-10980HK (8-core, 16-thread, 2.4 GHz base frequency, up to 5.3 GHz boost frequency)

Graphics: Up to NVIDIA GeForce RTX 3080 (10GB GDDR6)

Memory: Up to 64GB DDR4 3200MHz

Storage: Up to 1TB NVMe SSD (2x 512GB)

Display: 15.6″ Full HD (1920×1080) IPS-level panel, 144Hz refresh rate, 3ms response time, 100% sRGB color gamut

Keyboard: Per-key RGB backlit keyboard with numpad

Connectivity: Wi-Fi 6 (802.11ax), Bluetooth 5.1, Thunderbolt 3 (USB-C), HDMI 2.1, mini DisplayPort, 3x USB 3.2 Gen 1 Type-A, SD card reader

Audio: 2x 2W speakers with Nahimic 3 audio enhancement

Camera: HD webcam

Battery: 99.9Whr

Operating system: Windows 10 Home

Dimensions: 14.09″ x 9.76″ x 0.7″

Weight: 4.63 lbs

Top Pick

MSI GS66 Stealth: Powerful Laptop for data science

MSI GS66 Stealth

MSI GS66 Stealth 15.6″ FHD 240Hz 2.5ms Ultra Thin and Light Gaming Laptop Intel Core i7-11800H RTX3060 16GB 1TB NVMe SSD Win11 VR Ready – Black

Frequently Asked Questions

It’s generally recommended to look for a laptop with a multicore processor, such as an Intel Core i5 or i7. These processors are powerful enough to handle the demands of data science tasks, including running multiple applications at once and analyzing large datasets.

The amount of RAM you need will depend on the specific tasks you will be performing, but as a general rule, 8 GB of RAM should be sufficient for most data science tasks. If you plan on working with very large datasets or running multiple applications at the same time, you may want to consider a laptop with 16 GB or more of RAM.

A dedicated graphics card is not typically necessary for data science tasks, as these tasks do not typically involve high-end graphics processing. However, if you plan on using your laptop for tasks such as machine learning or data visualization, a dedicated graphics card may be beneficial.

The amount of storage you need will depend on the size of the datasets you will be working with and the number of files you will be storing. A solid-state drive (SSD) is generally recommended for a laptop used for data science, as it offers faster data access speeds than a traditional hard drive.

Both Windows and macOS are popular operating systems for laptops used for data science. Some data scientists prefer Windows for its flexibility and the wide range of software options available, while others prefer macOS for its stability and ease of use.

Final Thoughts on laptops for data science

I hope by reading this article you got the answer of ‘What are the best laptops for data science?’ Weather you’re a beginner, intermediate or advance, these laptops will help you to increase your productivity in this data science field. If you have any questions regarding these laptops then make sure to comment below.

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