- 10 best laptops for data science, Data Analysis, Finance 2020
- 1. Best For Everyone: Apple MacBook Pro
- 2. Best Desktop Replacement: Asus ROG Strix Scar III
- 3. Best 17-inch Laptop: Razer Blade Pro 17
- 4. Best For Professionals: Dell XPS 15 7590
- 5. Best Value For Money: Asus ZenBook 14
- 6. Best For Data Mining: Lenovo ThinkPad P53s
- 7. Best with Touch Screen: HP Envy 17T
- 8. Best For Students: Acer Swift 3
- 9. Best 2-in-1: Lenovo Yoga 730
- 10. Best with Intel Core i5 and 8GB RAM: Lenovo IdeaPad L340
- Final Words:
Don’t waste your money on a fancy laptop that your problems WILL outgrow.
Data Scientists solve three common data problems. Volume, velocity, and variety. If you are a volume or velocity type of Data Scientist, the best laptop for you is going to be the one that most easily allows you to:
- Connect to the systems where your real problems are solved.
- Create and implement reproducible examples of your problems.
If you’re frequently working on the third V, various problems, it may be worthwhile to buy an expensive laptop, but this is rarely beneficial. Here are some basic recommendations:
- Minimum 8GB of RAM (so you can load/create a reasonable amount of test data)
- Minimum 4 cores (so you can test efficiency with parallel on n-1 cores)
- 512GB SSD (most of your real data will live in the cloud but your samples will be small)
- Linux flavored OS (windows does not connect well and requires a lot of extras to fit in with a typical workflow that will end up on the cloud)
If you’re doing work that requires GPU processing, you may wish to consider a laptop that does not have integrated graphics, but you’re really going to be selling yourself short trying to do GPU processing on a laptop.
If your analysis is scaling past a need for 8gb of RAM, you should really be using temporary cloud resources. The cost/benefit always works out against buying a “better laptop” and I believe that will hold true for a very long time with Linode, AWS, Microsoft, and Digital Ocean selling incredibly cheap compute power.
Personally, I’m using a Dell XPS 13 Developer Edition (Ubuntu), and I can say that this thing is beautiful but more powerful than I actually need out of a laptop.
A Good Laptop for Processing Heavy data? Data scientists know a normal laptop can’t do data processing tasks easily. That’s Why You Need The Best 2 in 1 Laptop for data science.
if You looking recommended laptop for programming, data science than I ensure you that you have landed in the right place and I can help you to make the right decision for selecting a good laptop.
10 best laptops for data science, Data Analysis, Finance 2020
New Apple MacBook Pro
9th-gen 6-Core Intel Core i7 Processor
Asus ROG Strix Scar III
Razer Blade Pro 17
intel Core i7-9750H
Dell XPS 15 7590
Intel Core i7-9750
Asus ZenBook 14 Ultra-Slim
Intel Core i7-10510U
Lenovo ThinkPad P53s
Intel Core i7-8565U
Acer Predator Helios 300 (Recommanded)
9th Generation Intel Core i7 9750H
HP Envy 17T
Intel Core i7-1065G7
Acer Swift 3
Intel Core i7-8565U
Lenovo Yoga 730
Intel Core i5-8265U
1. Best For Everyone: Apple MacBook Pro
- Ninth-generation 6-Core Intel Core i7 Processor
- Stunning 16-inch Retina Display with True Tone technology
- Touch Bar and Touch ID
A data scientist’s love for MacBooks is undeniable. In most cases, data modeling and visualization applications are designed to work best on the macOS which validates the new 16-inch MacBook Pro‘s popularity.
The new and updated MacBook Pro features a class-leading Intel Core i7 processor with a base clocking speed of up to 2.6GHz as regards processing power. The thermal architecture and the availability of turbo-clocking speeds further accentuate the results. Data scientists prefer multicore processors and the new MacBook Pro has 6. The AMD Radeon Pro 5300 M GPU is a market-moving feature that works closely with four gigs of integrated VRAM.
Moving on, Apple also integrates 16 GB of RAM which gives the current chipset decent support. There is an ultra-fast, 512 GB solid-state storage unit that offers the data scientists a decent capacity. This function allows you to install Windows OS that runs the Boot Camp. Besides that, you’ll also get 12 MB of L3 cache memory to further minimize access time.
In terms of display, Apple still leads the path with the 16-inch screen featuring 3072×1920 pixels. In addition to a respectable display resolution of 226 pixels, the latest MacBook Pro is also known for its outstanding Retina Display technology, which supports darkest blacks, enhancement of liquid crystals, and precise visual alignments. This computer runs Mac OS X Catalina, directly from the box.
When you’re analyzing data, a decent keyboard is always handy. Therefore Apple MacBook Pro stacks with 1 mm key travel in the Magic Keyboard followed by other accessible specs such as the integrated touch bar and the intuitive Touch ID for added convenience. Because of the great keyboard experience many journalists, writers & bloggers, programmers, etc. prefer the latest MacBook devices.
This machine flaunts a metal shell and weighs only 4.3 pounds. You are getting Thunderbolt 3 with USB-C support when it comes to port management. Because most data scientists prefer connections with cloud servers, Apple makes sure that communication with Wireless and Bluetooth is never an issue. You will also get a battery backup of 11 hours on moderate to high use.
Overall, with the speed and computing power, the new MacBook Pro is the best choice for Data Science professional courtesy. Most notably, with this system also featuring an integrated Intel UHD 630 GPU for added support when handling intricate analytics, the graphics units are exceptional.
2. Best Desktop Replacement: Asus ROG Strix Scar III
- 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
The ASUS ROG Strix Scar III is the one to buy if you’re an experienced data scientist looking for a powerful desktop replacement laptop that would meet each of your diverse professional requirements. Initially termed as a gaming device, this laptop can not handle any application or tool.
The Asus ROG Strix Scar III features a powerful Intel Core i7-9750H chipset with up to 4.5GHz turbo-clocking speed. Aside from the existing operating platform, the specific processor allows you to install Linux Distros onto the system. In addition, Asus packs in a powerful NVidia GeForce RTX 2070 GPU that illuminates quickly and produces 8 gigs of VRAM as well.
The ROG Strix Scar III monitor is outstanding, with the 15.6-inch screen showing a resolution of 1920201080 pixels and the sharpest viewing angles possible. The computer is clubbed with the GPU and achieves a 240Hz display refresh rate. The visual quality tends to be the special result of the 80% screen-to-chassis ratio and IPS technology.
The machine is incredibly robust and resilient even to the harshest working conditions possible. The ROG Strix Scar III weighs only 5.97 pounds which, given the system packing in a host of rugged design elements, is still manageable. Most importantly, the overall thickness is less than a 1-inch, even with an extensive feature set. You get USB Type-C and 6 other active ports with respect to port management.
The battery is slightly underwhelming, as you get only 6 hours of backup despite the intelligent cooling tech. Overall, this is an extremely powerful device for a data scientist as it runs Tableau and Terminal applications without any problems.
3. Best 17-inch Laptop: Razer Blade Pro 17
- Zero-compromise powerhouse: Built for gaming and creative work in a 0.78" thin CNC aluminum...
- Futureproof design: Supports SSD and dual-channel memory upgradeability, Thunderbolt 3 enabled,...
- Perfect display for work or play: An edge-to-edge, 100% sRGB, factory-calibrated matte screen...
Nothing beats the excitement of buying an extremely powerful laptop which looks great as well and flaunts a metal chassis. In addition, if you’re in data science, the latest Razer Blade Pro 17 is a fantastic tool for owning a large monitor and a host of other practical specifications.
Processing power is of paramount importance for data scientists and the Razer Blade Pro 17 packs up readily in a top-notch Intel Core i7-9750H chipset. This SoC facilitates faster data modeling, and even supports applications like Anaconda for data script prototyping.
Most importantly, if you are into deep learning and sentiment analysis, the existing NVidia GeForce RTX 2060 GPU is a sizeable addition, clubbed with 6 gigs of functional VRAM.
This computer is a virtual Memory Department powerhouse with zero-compromises. You get 16 gigs of RAM which will further speed up the processor. The SSD storage unit’s 512 GB is also fast and comes with dual-channel upgradeability.
This means it’s easier to combine additional storage units via the empty M.2 space, based on requirements. Windows 10 is the operating platform featured but you can conveniently install the Linux Ubuntu OS to run Terminal applications with ease.
To data analysts, the 17.3-inch screen is a perfect addition in terms of size. Data scientists need additional screen space in most cases to work on different spreadsheets, or to use several applications at once. This is where the 1080p panel, 17.3-inch, comes to the rescue. Many screen-specific features include the thinnest bezels possible and a 144Hz refresh rate.
With a focus on a responsive trackpad and a backlit and ergonomic keyboard, the new Razer Blade Pro 17 flaunts future-proof aesthetics. The keyboard featured also delivers RGB lighting with more than 12 profiles present. Other features include facial unlock courtesy of biometric security, IR sensor, and compatibility with Windows Hello.
This powerful laptop weighs just over 6 pounds but is thin at 0.78-inch, which is enviable. The CNC, aluminum-clad unibody chassis adds the same longevity. Most importantly, even the experienced data scientists can indulge in demanding the design of neural networks without worrying about overheating. The company is bringing forward technology for vapor-chamber cooling, targeting demanding activities.
The brand comprises the USB 3.2 and the Thunderbolt 3 ports supplemented by a number of other slots in terms of compatibility and port management. For better productivity, you also get enviable Wireless and Bluetooth connectivity. The backup battery is a mere 8 hours that leaves much to be desired.
The Razer Blade Pro 17 overall is a perfect match for data sifters with a focus on screen size, cooling, and processing power.
4. Best For Professionals: Dell XPS 15 7590
- 15. 6" 4K UHD (3840 x 2160) OLED InfinityEdge anti-reflective Non-Touch 100% DCI-P3 400-Nits...
- 9th Generation Intel Core i7-9750h (12MB Cache, up to 4. 5 GHz, 6 Cores)
- 16GB DDR4-2666MHz, 2x8G
If you’re looking for a feature-packed notebook that can manage technological and academic requirements with ease, then the perfect gadget is the latest Dell XPS 15 7590. Additionally, if you’re in data science and you’re trying to manage large databases, this tool has the necessary firepower levels to get the job done.
There is an impactful Intel Core i7-9750 processor on the helm that clocks in demanding circumstances at speeds of up to 4.5GHz. Besides that, you also get the powerful NVidia GeForce GTX 1650 GPU which is clubbed with 4 gigs of VRAM support. As for the OS, you ‘re getting Windows 10 right out of the box.
Dell produces 16 gigs of RAM which can easily handle intricate statistical analysis. For example, most data scientists prefer to work with IBM’s SPSS Software which has a minimum 4 GB RAM requirement. This system has four times the power available, making room for quicker and more accurate research. The 256 GB SSD storage package performs the boot-up time and the data rendering.
The OLED display looks fantastic because of the 15.6-inch screen. Dell excels with the 4 K panel and a cumulative resolution of 3840 about 160 pixels in the visual department. The InfinityEdge display further enhances that powerful device’s screen and visual quality.
Once it comes to packing up an ergonomic keyboard and a highly sensitive touchpad, Dell leaves no stone unturned. In addition, the firm also allows a data scientist to indulge with MaxxAudio Pro speakers in leisure time. In addition, thanks to its innovative design, you also get the smallest possible HD webcam on a laptop.
The new Dell XPS 15 comes to the aesthetics and features a metallic chassis that thrives on sleekness. For better performance, the entire system weighs only 4 pounds and features USB 3.0, Thunderbolt, and other efficient ports. Not only that, but Dell also produces a sensitive fingerprint scanner and excellent Wireless support to assist data scientists with improved levels of security and communication.
The powerful battery provides a steady backup of up to 14 hours, whatever the use. To sum up, this Dell gadget works well if the data scientist in question has a penchant for quicker performance and excellent show quality.
5. Best Value For Money: Asus ZenBook 14
- Innovative screen pad: 5.65-Inch interactive touchscreen trackpad that adapts to your needs for...
- App switcher on screen pad: easily move docked Windows between your main display and screen pad...
- Handwriting on screen pad: take note or jot down your ideas by writing on the screen pad
Despite being a professional in hardcore data science, you may want to opt for style, creativity, and innovation while choosing a computer device. The New Asus ZenBook 14 provides all of the above characteristics and more, courtesy of enhanced design and improved processing capacity.
The output is top-notch onboard with the Intel Core i7-10510U 10th gen processor. The current SoC will clock turbo at velocities up to 4.9GHz. No power-centered compromises are made with Asus packing in the upgraded NVidia GeForce MX 250 GPU with 2 GB VRAM support despite this being a sleek device;
As far as memory allocation is concerned, the 16 GB RAM minimizes the time for data mining and document creation. The 512 GB PCIe SSD storage unit is also fast, making data faster than the SATA3 module. Windows 10 Pro version is the pre-existing operating system but the software supports the installation of Linux Ubuntu.
Asus uses Nano-Edge display technology and a display resolution of 19201080 pixels is displayed on the 14-inch screen. The Full HD panel also features the178-degree, broad-view technology and the sharpest viewing angles possible. This computer also flaunts a display-to-body ratio of 92 percent and thrives for a great viewing experience on the 2.9 mm ultra-thin bezels.
Asus puts out a backlit interface in terms of keyboard usability, followed by a 1.4 mm key movement and faster access keys. You also get an intuitive touchpad with a touch screen and one-tap access to a host of processes that flaunts the ScreenPad 2.0 technology. This ScreenPad provides instant access to the switching app, particularly for data scientists who are always on the clock.
The new Asus ZenBook 14 is flaunting an ultralight chassis that weighs only 1.26 kg. In addition, this is a sleek device measuring 16.9 mm and nearly 13 percent slimmer compared to the previous model. Certain physical upgrades include an improved typing location, an expanded collection of speakers, and an integrated refrigeration system. You get USB Type-C, USB 3.1, and a host of other outputs as regards port management.
Asus offers Gigabit Wi-Fi 6 and advanced Bluetooth networking to facilitate remote server work for data scientists. In addition, data science professionals can continue on the battery for nearly 12 hours, without requiring a recharge. Overall the latest Asus ZenBook 14 is a versatile tool that excels in the department of processing.
6. Best For Data Mining: Lenovo ThinkPad P53s
- Processor Manufacturer: Intel
- Processor Type: Core i7
- Processor generation: 8th Gen
Here’s a new and improved Lenovo Ultrabook that’s a perfect fit for experts in data visualization and data mining, portable design elements courtesy, class-leading processing power, and a decent enough display.
The Lenovo ThinkPad P53s, for example, boasts excellent processing efficiency with the powerful Intel Core i7-8565U processor at the helm. Additionally, the NVidia Quadro P520 GPU and 2 GB of existing VRAM memory complement the SoC. Although the Quadro units have a similar architecture to the GeForce GPUs, they have more memory and are better suited to handling professional, data-centered requirements.
As far as memory is concerned, this gadget has 16 gigs of RAM which works well with the existing processor and the workstation-centric GPU. The 512 GB SSD storage device renders data quicker than an HDD and also plays a major role in accelerating the boot-up time. While the featured OS is Windows 10, Lenovo also allows you to install Linux based on preferences.
While the display is not a deal-breaker when it comes to data analysis and mining requirements, the Lenovo ThinkPad P53s still perform the 15.6-inch Full HD panel with satisfactory courtesy. The existing display resolution of 1920 range1080 pixels results in exceptional reproduction of colors.
Data scientists enjoy the presence of the ergonomic, backlit keyboard, and the sensitive ClickPad. The same is integrated with a fingerprint sensor, precisely to protect the existing data sets and prototypes. This gadget weighs about 4 pounds for a full-fledged mobile workstation and is still pretty sleek. The gadget packs in Type-C and a few USB 3.1 slots, in terms of port diversification.
Certain useful productivity-added features include stereo speakers, HD cameras, and excellent Wireless networking. The existing battery provides up to 8 hours of decent backup, depending on the usage. The Lenovo ThinkPad P53s, to be precise, is not a fancy gadget but achieves perfection, thanks to the powerful processor and the Quadro graphics function unit.
7. Best with Touch Screen: HP Envy 17T
- 8th Gen Intel Core i7-8550U (1.8 GHz, up to 4 GHz, 8 MB cache, 4 cores), NVIDIA GeForce MX...
- 17.3" diagonal FHD IPS WLED-backlit multitouch-enabled edge-to-edge glass (1920 x 1080)...
- Windows 10 home 64
While a data scientist wouldn’t worry about touch support on a powerful laptop, the new HP Envy 17 T is worth investing in, with the courtesy of its sleek aesthetics and a powerful conglomerate for processing.
This gadget packs in the 10th chromosome, Intel Core i7-1065G7 processor, which boasts excellent performance and operates in harmony with the NVidia GeForce MX250 GPU. The current GPU outperforms a contemporary GTX by nearly 7 percent and enables you to engage in neural networking and other deep learning activities. The 4 gigs VRAM support further accentuate the performance of the graphics.
HP also produces 16 gigs of RAM which is able to handle statistical operations with ease. What stands out is the dual-storage unit with SSD support for 256 GB storage and a 1 TB hard disk. While the SSD unit is best suited to speed up boot-ups and data rendering, the hard disk is the principal repository of data. Windows 10 is the existing operating platform which is available right out of the box.
The 17.3-inch screen represents an extraordinary addition, preceded by the current 1920 x 1080 pixel display resolution. The IPS panel is extremely colorful, with multi-touch support.
The gadget also features an island-style, backlit keyboard, accompanied by a highly intuitive touchpad. Besides that, you also get microphone support with dual-array FHD webcam. The new and improved Envy 17 t also flaunts a sleek yet feathery aluminum chassis. HP packs in USB Type-C and all the other required and efficient slots as regards port management.
This touch-supported notebook packs in a powerful battery module, offering extended backup up to 10 hours. Overall, in terms of aesthetics and design elements, this notebook is packed with decent processing power but doesn’t let down.
8. Best For Students: Acer Swift 3
- 8th Generation Intel Core i7 8565u Processor (Up to 4. 6GHz), 8GB onboard DDR4 Dual Channel...
- 14" Full HD (1920 x 1080) IPS widescreen LED backlit Display & NVIDIA GeForce MX150 with 2 GB...
- Back lit keyboard, Intel Wireless AC 9560 802. 11AC Gigabit Wi Fi & Bluetooth 5. 0
The Acer Swift 3 is the perfect laptop to invest in if you’re a budding data scientist looking to explore the caveats of data visualization, mining and prototyping.
This system cuts additional clutter and solely focuses on the results. The 8th gene Intel Core i7-8565U chipset is a reckoning force, courtesy of a turbo clocking speed that can be as high as 4.6GHz. Most importantly, it still packs in an NVIDIA GeForce MX 150 unit which can support up to 2 gigs of VRAM despite flaunting an affordable price tag.
The 8 GB dual-channel RAM support allows room for decent performance, enabling you to easily handle simple statistical tasks, CRM alignment, and data visualization. The 256 GB SSD storage unit is extremely powerful and supports the fastest boot-ups possible. Acer has Windows 10 Home Edition features, straight out of the box.
Acer features a 14-inch Full HD screen, providing exceptional clarity levels and sharpest viewing angles possible. The overall display resolution for the same is 1920 x 1080 pixels which also makes visual quality excellent.
You also get a standard clubbed backlit keyboard with an exceptional touchpad that is responsive. Besides this, in Gigabit Wi-Fi and Bluetooth 5.0, you also get access to excellent connectivity features, making way for seamless remote server applications. Other features include built-in stereo speakers, HD webcams, a resourceful collection of microphones, and a fingerprint scanner.
The new Acer Swift 3 boasts outstanding craftsmanship and flaunts a pretty sleek, unibody chassis. The gadget weighs just 2.97 pounds and has a host of productive ports including the Type-C and USB 3.0 slots. This gadget allows you to continue without requiring a recharge for nearly 12 hours.
Overall, this is an excellent system with a strong battery and a good collection of components for processing. More significantly, the firm also boasts favorable pricing.
9. Best 2-in-1: Lenovo Yoga 730
- 15.6" Full HD 10-point multitouch screen
- 8th Gen Intel Core i5-8265U mobile processor
- 256GB Solid State Drive (PCI-e)
Probably the best 2-in-1 laptop on the market for aspiring data science students and professionals, is the new Lenovo Yoga 730. This laptop is best known for its multimode functionality and competitive pricing, in addition to having an extensive specs-sheet.
Lenovo produces a decent but efficient Intel Core i5-8265U chipset with respect to processing speed. While the processor is able to handle basic data processing and analytical requirements with ease, the integrated graphics card from Intel UHD 620 further improves the performance.
The Yoga 730 also features 12 RAM gigs and a large SSD storage unit of 256 GB. While for hardcore professionals the data storage capacity might seem a bit underwhelming, the PCIe unit is extremely fast and makes data as quickly as possible. Also, you are getting Windows 10 as the pre-existing operating system.
The 15.6-inch touch-screen has a 1920 x 1080 pixel display resolution. Additionally, Lenovo also boasts better viewing angles and unrivaled visual clarity.
If you are a student of data science, you ‘re supposed to get the ergonomic and backlit keyboard to function well. The responsive trackpad is also smooth and extremely efficient. Other specs include an HD webcam, an integrated microphone, and outstanding wireless connectivity.
What stands out is the unmatched 360-degree, convertible chassis portability! Lenovo Yoga 730 weighs 4.20 pounds and is also known for multi-mode usage because the device can be aligned based on the preferred shape. In addition, this device is easy to bring around at 0.7-inch, because of the enviable slimness. This system also features a thunderbolt port and other useful slots for better research to pairing external gadgets and data repositories.
Lenovo features a decent battery unit that supports continuous use for up to 8 hours. To sum up, the Yoga 730 is a fairly powerful tool that is elegant, compact, and able to be used by aspiring data scientists as a compact workstation.
10. Best with Intel Core i5 and 8GB RAM: Lenovo IdeaPad L340
- A new dimension of gaming performance awaits - with 9th-generation Intel Core i5 processors,...
- Take it to the next level - With the latest NVIDIA GeForce Graphics behind you, you can tame...
- A portal to a new sound dimension - hardwired into every Idea Pad L340 gaming is advanced...
The new Lenovo IdeaPad L340 is a pretty effective device for running basic Data Visualization applications such as Tableau sans lags. In addition, this gadget also supports basic levels of neural networking, thus helping you to easily address the deep learning requirements.
The new 9th Gen Intel Core i5-9300H processor is a commendable addition that can achieve respectable turbo clocking speeds. You’ll also experience the power of the dedicated NVidia GeForce GTX 1650 GPU that works with 4 gigs of VRAM in cohesion.
8 GB of built-in RAM, which amplifies the potency of the supplied SoC, handles the memory-centric requirement. Also, Lenovo offers a 512 GB solid-state storage drive that makes data faster than usual and minimizes boot time. You also get the Windows 10 OS through dual boot mechanism, though with support for Linux installation.
The Full HD 15.6-inch monitor is pretty normal for the current price tag. The company offers a 1080p panel which also supports the Vantage ‘Eye Care’ mode to help students and professionals keep churning data without straining their eyes.
This app also packs in a host of revolutionary features, in addition to having a backlit keyboard and a sensitive touchpad. These include a dedicated shuttered HD webcam, Dolby Audio-supported speakers, and various gaming and working modes. This is also a durable model of clamshell weighing less than 5 pounds and featuring a 180-degree mobile hinge.
Lenovo persists with the USB Type-C and other functional outputs regarding port management. For the aspiring data scientists, up to 9 hours of battery backup is also a decent addition. Overall, this Lenovo device is strictly a mid-range model perfect for students in search of decent graphics support and commendable battery support.
Data scientists are technically creative practitioners with high-end criteria for data processing. A powerful laptop will continue to be a requirement unless the data scientist always uses a remote server to get the job done.
You can go for the ROG Strix Scar III or the Blade Pro 17 from Razer if you are a seasoned professional who is just looking for a room, RAM, and processing speeds. If you are trying to use the principle of GPU acceleration for neural networking, these devices even come in handy.
If you are looking strictly for a MacBook, nothing will beat the effectiveness of the new MacBook Pro 16. However, the Lenovo Yoga 730 is a decent enough device if you’re a student or an aspiring professional with not-so intricate requirements.
Basically, it all comes down to the criticality of the work, and the design of the software you ‘d use for data analysis, data scripting, database management, and data server connections.