Best Laptops For Data Analysis 2021

Dell XPS 15 9500

Dell Inspiron 15 7000- 15 Inch FHD Touchscreen, Intel Core i7, 8GB Memory, 512GB Solid State Drive, Nvidia GeForce GTX 1650 4GB GDDR6, Windows 10 Home (Latest Model) - Silver
  • Wifi-6 802.11 AX wireless
  • Single Sign-on fingerprint reader
  • Lid-open sensors
  • Adaptive Thermals
  • Lift Hinge for improved typing angle

What will you do if your trusted brand assembles the best hardware in an amazing body and gives you the complete package at a fair price on the international market? You will, right? Dell XPS 15 is a pretty similar story here. Dell has managed to create the best hardware configuration at a fair price for people who cannot bear the burden of the price of Apple and other top laptops in the segment.

If you’re looking for a feature-packed laptop that can handle technical and academic requirements with ease, the new Dell XPS 15 9500 is the perfect device. Plus, if you’re into data science and looking to handle massive repositories, this device has the required levels of firepower to get the job done. There’s an impressive Intel Core i7-10750H processor at the helm that runs at speeds of up to 5 GHz under demanding circumstances. On top of that, you also get the Nvidia GeForce GTX 1650 Ti GPU which is powerful and paired with 4GB of VRAM support. In terms of SO,

For maximum focus during their work days, data scientists will enjoy the Infinity Edge IPS display. Not only does it provide a comfortable view from different angles, but this laptop also offers a narrow bezel that improves the overall aspect ratio. Get Windows 10 Home, right out of the box.

The XPS series had created a lot of noise when it launched. Until today, it is one of the popular Dell devices. XPS 15 comes with 8th Gen Intel Core i7 processor clocked from 2.2GHz to 4.1GHz, 16GB of DDR4 RAM, 512GB of ultra-fast SSD, 4GB NVIDIA GeForce GTX 1050Ti dedicated display card to bring you clean images on a 15.6 ”screen with 100% Adobe RGB color with a native resolution of 3840X2160 pixels.

You’ll feel the quality of performance, dazzling visuals, speed, and comfort while working on this beautiful laptop. You will also have many options when it comes to ports, as Dell has considered and managed to provide multiple ports to avoid the need for any external port adapters. Dell XPS 15 is a decent package not only for students, but also for IT professionals who demand performance, quality, and speed from their personal computer.

Asus ROG Strix Scar III

ASUS ROG Strix SCAR III (2019) Gaming Laptop, 15.6” 240Hz IPS Type Full HD, NVIDIA GeForce RTX 2070, Intel Core i7-9750H, 16GB DDR4, 1TB PCIe Nvme SSD, Per-Key RGB KB, Windows 10, G531GW-DB76
  • Nvidia GeForce RTX 2070 8GB GDDR6 (base: 1215 MHz, Boost: 1440 MHz; TDP: 115W)
  • 9th Gen Intel Core i7-9750h Processor
  • 240Hz 15.6” 1920x1080 IPS Type Display
  • 16GB DDR4 2666MHz RAM | 1TB PCIe NVMe SSD | Windows 10 Home | Gigabit wave 2 Wi-Fi 5 (802.11AC)
  • ROG intelligent cooling Thermal system with dual 12V fans, Triple radiators, anti-dust technology, and adjustable fan modes

ASUS ROG Strix Scar III It is one of the most powerful laptops on the market right now. Although the price may be much higher than other laptops, it features a configuration that won’t slow you down and provides a great experience. ASUS introduced a narrow bezel display that increases the aspect ratio, offers a better viewing angle and is more pleasing to the eyes, no matter how long you look at the screen.

Asus ROG Strix Scar III is a perfect alternative to a data science desktop and meets your data requirements with ease. This laptop is made for gaming, but it performs equally brilliantly for data environments. This laptop can handle anything you throw at it. It comes with a powerful Intel Core i7-9750 H processor equipped with a turbo clock speed of up to 4.5 GHz. The processor allows you to install Linux distributions on the laptop, along with the existing operating system.

It packs a punch with its NVIDIA GeForce RTX 2070 GPU, which is fast and has 8 gigs of VRAM. It has 16GB of RAM and 1TB of SSD storage, which means it works exceptionally well with data science software; if you collect and analyze your data and render it with software like SAS, Apache Spark, Excel, etc. The screen has a generous size of 15.6 inches and a resolution of 1920 X 1080 pixels.

It has an enviable keyboard with curved keys and a blacklist interface. The device has a sensitive touch panel and is compatible with ROG Keystone. Battery life is average and lasts for 6 hours, which is expected from a powerful laptop. The Asus ROG Strix Scar III works like a charm while working with various data and is a favorable choice for the best data science laptop.

If you primarily rely on Wi-Fi connection, you will love the multi-antenna RangeBoost feature introduced by ASUS to improve connection. In addition to the wonderful and powerful specs, it has convenient features like its N-Key Rollover that allows multi-key inputs that allow you to take on multiple tasks at once and handle them much faster than usual. Uploading and downloading files has never been easier thanks to this technology that improves Wi-Fi speeds and improves connection reliability.

Apple MacBook Pro with Apple M1 Chip

2020 Apple MacBook Pro with Apple M1 Chip (13-inch, 8GB RAM, 512GB SSD Storage) - Space Gray
  • Apple-designed M1 chip for a giant leap in CPU, GPU, and machine learning performance
  • Get more done with up to 20 hours of battery life, the longest ever in a Mac
  • 8-core CPU delivers up to 2.8x faster performance to fly through workflows quicker than ever
  • 8-core GPU with up to 5x faster graphics for graphics-intensive apps and games
  • 16-core Neural Engine for advanced machine learning

There’s no denying a data scientist’s love for Apple MacBooks. In most cases, applications related to modeling and data visualization are designed to work best on macOS, validating the popularity of the new MacBook Pro M1. The M1 chip is still new, so before buying this laptop, make sure to see if it is compatible with all the software you plan to use. In terms of processing power, the new and improved MacBook Pro features a new 8-core Apple M1 drive. Performance is further accentuated by the thermal design and the availability of 3.2 GHz turbo clock speeds. Data scientists prefer multi-core processors and the new MacBook Pro has 8. The integrated 8-Core is a component that moves the market and works closely with the processor.

This laptop features a metal chassis and weighs just 3 pounds. In terms of port management, you get two Thunderbolt 4 with USB-C support, along with two USB 3.1 Gen 2 ports. Since most data scientists prefer interactions with the cloud server, Apple makes sure that the Wireless and Bluetooth connectivity are never a problem. You also get a 17 hour battery backup with moderate to high usage.

Overall, the new MacBook Pro is the best choice for this profession thanks to speed and computing power. More importantly, the graphics units are exceptional with this device for added support while handling intricate analysis.

Lenovo Thinkpad P53s

Lenovo ThinkPad P53s Laptop (Intel i7-8565U 4-Core, 16GB RAM, 512GB PCIe SSD, Quadro P520, 15.6" Full HD (1920x1080), Fingerprint, WiFi, Bluetooth, Webcam, Win 10 Pro) with USB3.0 Hub
  • Intel Core i7-8565U 1. 80GHz Processor (8th Gen, upto 4. 60 GHz, 8MB Smart Cache, 4-Cores) ; 16GB DDR4 SODIMM RAM
  • NVIDIA Quadro P520 2GB GDDR5 Integrated Graphics
  • 15. 6" Full HD (1920x1080) Display; 802. 11ac Wifi, Bluetooth 5. 0, Ethernet LAN (RJ-45), 720p HD Webcam, Fingerprint Security System, Black Color
  • 512GB PCIe NVMe SSD; 2xUSB3. 1, 1xHDMI, 1xThunderbolt Port, 1xType-C USB, Micro SD Reader, 3. 5mm Combo Jack. , Windows 10 Pro-64, 3-Cell 57 WHr Battery, 1 Year Manufacturer from GreatPriceTech (Professionally upgraded by GreatPriceTech)
  • Includes Portable USB 3. 0 Data Hub

Lenovo Thinkpad P53s is a superior choice for data mining and data visualization. It comes with a powerful Intel Core i7-8565 U processor, which increases the performance of your laptop during multitasking and makes it easy for you to change software. The ThinkPad P53s comes with an NVIDIA Quadro P520 graphics card along with 2GB of VRAM memory. The GPU makes it easy to display the colors required for display, which are better suited to the data-centric requirement.

Lenovo has equipped Thinkpad P53s with 16 gigs of RAM, which work well with the processor and CPU centered on the workstation. The 512GB SSD provides enough space to collect and process data faster. The SSD plays an important role in speeding up boot time. The screen size is 15.6 inches and it comes with Full HD 1920 X 1080 resolution. Most data scientists prefer a laptop that has an ergonomic backlit keyboard and responsive touch panel. This laptop will meet this requirement and offer a great typing experience.

In addition, it also has a fingerprint sensor to protect your data safely. In terms of battery, Lenovo Thinkpad P53s offers up to 14 hours of battery life on a single charge. Lenovo Thinkpad P53s isn’t a fancy choice, but it makes it a list of the best laptops for data science due to its powerful performance.