10 Best Laptops For Data Science | Top Pick For Data Analysis
Data science is a different field where scientific methods, processes, and algorithms are used to unify statistics, data analysis, machine learning, domain knowledge, and their related methods to realize & analyze the actual phenomena with data. This science can uncover answers to major questions by combining computer science, modelling, statistics, analytics, and high math skills. That’s why a powerful laptop is an essential component for data science students or data scientists. Today, I’m going to show you some of the best laptops for data science with buying guide.
For data science, you need a faster processor, responsive OS, enormous amounts of storage for a balanced performance because if you are a student, it’s necessary to do most of the task through a computer, or if you are a data scientist, you may need to use several applications which require exceedingly high processing power or you may require access to SQL management resources like Workbench & photocopying tools like Anaconda for simplifying workloads.
You can also read: 10 Best Laptops For Programming
Choosing the best laptop for a data scientist can be tricky than your imagination, for this, first, you have to be aware of your specific need as different laptops are best for different reasons, so knowing the needs will be your first and foremost duty before buying a laptop, here, we are providing some characteristics by which you can choose the best laptops for data science easily, they are-
● CPU: Minimum requirement Intel Core i5 (8th Gen), but we recommend Inter Core i7 (9th Gen)
● RAM: Minimum requirement 8GB; our recommendation is 16 GB.
● Storage: Minimum requirement is 256 GB SSD or 1 TB HDD; our recommendation is 512 GB SSD.
● Display: 13.3 inches FHD ( 1920 x 1080) , our recommendation is 15.6 inches FHD (1920 x 1080)
● GPU: Intel Integrated UHD 620, the recommendation is Nvidia GTX series GPU at least 2 GB
If you are an engineer then you may also like: 10 Best Laptops For Engineering Professionals
List of 10 Best Laptops for Data Science
Data science is a resource-intensive domain so that it’s very important to identify the best laptops if you are an experienced or aspiring data scientist; that’s why we have presented the description of the ten best laptops for data science by doing huge analysis; they are-
- Asus ROG Strix Scar III
- Razer Blade Pro 17
- Lamba TensorBook
- Dell XPS 15
- Asus ZenBook 14
- Lenovo ThinkPad P53s
- HP Envy 17T
- Acer Predator Helios 300
- Lenovo Yoga 730
- Apple MacBook Pro
10 Best Laptops For Data Science And Data Analysis | Comparison Table
  | Asus ROG Strix Scar III | Display: 15.6'' | 2.6 GHz Intel Core i7-9750H, RAM: 16 GB, Storage: 1TB SSD | |
  | Razer Blade Pro 17 | Display: 17.3'' | 2.6GHz Intel Core i7-10875H, RAM: 16 GB, Storage: 512 GB SSD | |
  | Lamba TensorBook | Display: 15.6” | 2.3 GHz 10th Gen Intel Core i7, RAM: 64 GB, Storage: 2TB SSD | |
  | Dell XPS 15 | Display: 15.6'' | 9th Gen Intel Core i7, RAM: 16 GB, RAM DDR4, Storage: 256 GB SSD | |
  | Asus ZenBook 14 | Display: 14.0'' | 1.8GHz Intel Core i7 8565U, RAM: 16GB, Storage: 512GB SSD | |
  | Lenovo ThinkPad P53s | Display: 15.6'' | 1.8GHz Intel Core i7-8565U, RAM: 16GB, Storage: 512GB SSD | |
  | HP Envy 17T | Display: 17.3'' | 1.8 GHz Intel Core i7- 1065G7, RAM: 16 GB, Storage: 256GB SSD + 1TB HDD | |
  | Acer Predator Helios 300 | Display: 15.6'' | 2.8GHz Intel Core i7-7700 HQ, RAM: 16GB RAM, Storage: 256 GB SSD | |
  | Lenovo Yoga 730 | Display: 15.6" | 1.8GHz Intel Core i7-8550U, RAM: 16 GB, Storage: 512 GB SSD | |
  | Apple MacBook Pro | Display: 16.0'' | 2.6 GHz 9th Gen Intel Core i7, RAM: 16GB, Storage: 512 GB SSD |
Choose The Best Laptops For Data Science Students From Bellow:
1. Asus ROG Strix Scar III
Asus ROG Strix Scar III is the best laptop for experienced data scientists who are searching for a laptop which have a powerful processor, can handle any complex applications or tool, have a fastest possible storage unit with a decent capacity, impactful processor, durable chassis with triple radiators for heat dispassion and an excellent display then this model will be perfect for your data science & data analysis work.
- CPU: 2.6 GHz Intel Core i7-9750H
- RAM: 16 GB
- GPU: 8 GB Nvidia GeForce RTX 2070
- Storage: 1 TB PCle SSD
- Display: 15.6 inch FHD (1920x 1080)
- Battery: 6+ hour
Design & Display
The ROG Strix Scar III has a beautiful grey hood with a brushed faux-aluminium design, and the lid has an RGB-lit ROG logo, and below, there’s an off-centre cutout revealing the deck.
● There is a pair of copper vents surrounding the additional ports, and after popping open, the lid reveals a carbon-fiber deck with a similarly futuristic design, not only that the laptop provides a decent keyboard size with dedicated media keys.
● The laptop is very light, weighing in only 4.3 pounds with a decently bright & colorful 15.6 inches FHD display. After looking at the right side, you can notice an orange ROG Keystone, and its display has super-narrow bezels on the top & right side; that’s cool.
Performance
This version of the laptop has come with an Intel Core i7-9750H processor & 16 GB RAM with awesome battery life, and for having plastic chassis, the heat is pretty much manageable, so that you can use this laptop all day long for data analysis.
● The laptop has done a fantastic result on the performance tests like the Strix Scar III has scored 23,196 sliding past the 20,284 mainstream gaming laptop, it can transcode 4K video to 1080p in 10 minutes and 34 seconds, can copy 4.97 GB of data in 9.7 seconds.
Connectivity
This device has a decent number of ports that are really well equipped and very significant for our day to day life. There are three USB 3.1 Type-A ports, a headphone jack, a power jack, a 1.4 USB Type-C port, an HDMI 2.0B port, and an RJ45 port.
2. Razer Blade Pro 17
Nothing can be a more exciting matter for a data scientist than purchasing a laptop with an extremely powerful processor with great metallic chassis look; and the Razer Blade Pro 17 is one of the best laptops for data science which is amazingly equipped with lots of features, like- powerful processing conglomerate fast, exceptional display with additional real-estate, upgradable storage unit, and sleek design.
- CPU: 2.6GHz Intel Core i7-10875H
- RAM: 16 GB
- GPU: 6 GB Nvidia GeForce RTX 2080 Super Max-Q
- Storage: 512 GB SSD
- Display: 17.3 inch FHD (1920x 1080)
- Battery: 8+ hours
Design & Display
The device has a very lightweight, weighing only 6.1 pounds with an amazing outlook & smooth screen of 17.3 inches which have FHD resolution that is a great addition for data analysts as, in most cases, data scientists require more screen space to work on diverse spreadsheets or for using multiple applications at a once.
● This version has focused on a responsive trackpad & a backlit keyboard. It has a heavy glare screen with a dark accent that has made the laptop more eye-catching, and the color coverage is mid-range compared to its rivals, with our testing showing that it covers 84% of the DCI-P3 color gamut and has average brightness of 304 nits.
Performance
Razer Blade Pro 17 provides a productive performance for strong processors like i7-10875H as data scientists need powerful ones. You can perform faster data modeling & data script photocopying by applications like Anaconda.
● This device is a powerhouse with zero compromises in the memory that provides 16GB RAM & 512 GB SSD storage unit with dual-channel upgradeability not only that it can convert video down form 4K (3840 x2160) to FHD (1920×1080) in just 9 minutes 31 seconds, it takes only 6 seconds to transfer 4.97 GB files at the rate of 1,694 MBps.
Connectivity
The laptop is perfectly equipped with some amazing connectors that will help you join with another device like- there are 3x USB 3.2 Type-A port, 1x USB 3.2 Type-C port, 1x HDMI 2.0, 1x RJ-45, 1x 3.5 mm microphone or headphone jack.
3. Lamba TensorBook
Lamba TensorBook is well known for remote server access and has gained good traction in the digital technology realm. That’s why if you are looking for a dependable laptop for data processing, this version will be suitable for you as it is entirely equipped with some amazing features that will make you work easy, like- it has an exceptional display with eye-catching looks, a decent set of processing elements, powerful battery, excellent keyboard & touchpad with integrated touch id. All of these made this laptop cool.
- CPU: 2.3 GHz 10th Gen Intel Core i7
- RAM: 64 GB
- GPU: NVidia RTX 2080 Super Max Q
- Storage: 2TB SSD
- Display: 15.6 inches full HD
- Battery: +10 hours
Design & Display
Lamba TensorBook has come with a vibrant 15.6 inches screen with retina display and an exotic cumulative display; not only that, it has a sleek aluminium unibody design in a grey or silver-coloured body and has an extremely lightweight, which makes the laptop more portable to bear for students.
● The device is packed with advanced technologies, and a brilliant retina display delivers more than 4 million pixels, millions of colours & 500 nits of brightness. With true tone technology, the display offers a more natural viewing experience to help the data scientists work all day long.
Performance
The laptop is packed with Intel Core i5, a decent addition capable of clocking almost 2.3GHz. The data scientists & engineers love to work with this laptop as it comes with pre-included CUDA, cuDNN, Keras, PyTorch, and TensorFlow. At the time of data analysis, mining, or coding, this laptop will provide you powers through the 10th Generation Intel Core i7 processor.
● Customers love the superfast SSD of Lamba TensorBook, which comes with the double storage than it’s the previous version. Now it has come with standard storage of 2TB SSD by which consumers can store more photos, videos, files & data not only that, it’s powerful NVidia RTX 2080 super Max Q GPU will help you flawlessly to train models without any graphics processing performance issues, that’s awesome.
Connectivity
The data science specialists love the connectivity level of Lamba TensorBook, which is better than the other devices, and you can easily make connections with another device for sharing data; that’s why it has a MagSafe power port, one Ethernet port, three USB Type-A port, one Thunderbolt 3 port, one HDMI port, Headphone jack, one micro SD card slot, Kensington lock slot, 8x super drive, not only that it has 802.11n Wi-Fi wireless networking with Bluetooth 4.0 wireless technology.
4. Dell XPS 15
Dell XPS 15 is the best & preferable laptop among data science students looking for a feature-packed notebook that can handle technical & academic requirements and. This model has come with an excellent 4K UHD OLED display, a brilliant aesthetic, a powerful battery unit with a built-in battery indicator, and a world-class leading strong processor.
- CPU: 9th Gen Intel Core i7
- RAM: 16 GB RAM DDR4
- GPU: 4 GB Nvidia GeForce GTX 1650
- Storage: 256 GB SSD
- Display: 15.6 inches full HD
- Battery: +8 hours
Design & Display
Dell XPS 15 offers a good quality image at every angle, and one of the key features of this version is Cinema Color App, which provides you with four presets like- movies, sports, evening & animations.
● The weight is light that you can carry it all day long, and the 15.6 inches screen look marvelous courtesy of the OLED Panel, and this has improved it’s visual department too with 4K panel & a cumulative resolution of 3840×2160 and the InfinityEdge display further enhances the screen and visual quality of this powerful laptop.
Performance
This version has come with an impactful processor with NVidia Geforce GTX 1659 GPU, which is powerful and clubbed with four gigs of VRAM support. Most importantly, the device provides a very long-lasting battery life up to 14 hours regardless of usage.
● Most of the data scientists prefer to work with the SPSS software from IBM that has a minimum RAM requirement of 4 GB, and on this Dell XPS, 15 is very smart as it has 16 GB RAM with 256 GB SSD storage unit which helps to do faster & more reliable analysis.
Connectivity
The laptop is nicely equipped with some very significant ports and slots that may need in our day to day life to connect with other device or for data sharing from another device that’s why there is a two USB 3.1 Gen 1 port, 1 HDMI 2.0 port, 1 thunderbolt 3.0 port with power delivery & display port, 1 universal audio jack, one SD card reader slot and one Wedge-shaped lock slot.
5. Asus ZenBook 14
Though you are a hardcore data science expert, you might want to choose a computer device with style, creativity & innovation. That’s why the new ZenBook 14 offers all of the mentioned qualities with improved design, better processing power, brilliant nano edge Bezel display, excellent outlook with esthetic elements, and a powerful, long-lasting battery.
- CPU: 1.8GHz Intel Core i7 8565U
- RAM: 16GB
- GPU: 2GB Nvidia GeForce MX250
- Storage: 512GB SSD
- Display: 14 inches FHD NanoEgde Bezel
- Battery: +12 hours
Design & Display
The laptop has a gorgeous eye-catching outlook that will melt your heart, but the display is not so bright, and it reproduces 121 percent of the sRGB color gamut, making it more vibrant not. It has 300nits of brightness, which is impressive. Moreover, the device will provide an excellent typing experience as the keyboard & trackpad are so smooth with 1.1mm of key travel, which will not make you bore at the time of working.
Performance
Asus ZenBook 14 is a high-performance laptop for data science students which is furnished with Intel Core i7-8565U processor, 16GB RAM 512 GB SSD storage which is capable of storing huge data together, and working with at least 20 Google Chrome tabs together by which you can analysis more & more data at a time.
● The various test has done to test the capability of these laptops, like- it can duplicate 4.97 GB of data in just 10 seconds, it has scored a solid 11,804 on the Geekbench 4.1 overall performance test, in 1 minute & 11 seconds, the laptop can match 65,000 names & addresses in Excel, and it needs 24 minutes & 46 seconds to convert 4K video to 1080p using the HandBrake app.
Connectivity
The connectivity of Asus ZenBook 14 is impressive which will help to connect with other device & share data easily as it’s one of the concerns of data science professionals so that the device has a USB Type-C port, two USB Type-A ports & one of them is USB 3.1 Gen 2, an HDMI output, a micro SD card reader, and a combined headphone or microphone jack.
6. Lenovo ThinkPad P53s
Lenovo ThinkPad P53s is one of the best laptops for data mining & data visualization. Not only that this model is furnished with amazing features like- portable design elements, world-class leading strong processor, powerful GPU for professional usage, decent display, responsive touchpad & comfortable keyboard, sizable storage unit, but all of these have also made this laptop perfect for data science students or exert data scientists.
- CPU: 1.8GHz Intel Core i7-8565U
- RAM: 16GB
- GPU: 2 GB NVidia Quadro P520
- Storage: 512GB SSD
- Display: 15.6 inches FHD LCD ( 1920x 1080)
- Battery: +8 hours
Design & Display
This version of Lenovo performs satisfactorily with 15.6 inches full HD IPS panel, and display resolution is exceptional for color production and the viewing angles offer comfortable images at each corner of the laptop as it has an average 256nits of brightness on the screen not only that you will also have amazing backlit keyboard & touchpad which are really comfortable.
Performance
The new Lenovo ThinkPad P53s have come with an extraordinarily powerful quad-core intel i7-8565U processor, 16 GB memory, which provides a great deal of multitasking power that lets you run huge apps & browsers simultaneously.
● This laptop provides many advantages to fill up data-centric requirements as the 512 GB storage renders data faster than an HDD, which plays a major role in speeding up the boot time. Not only that also has a security fingerprint pad, HD webcam, decent battery life, and all of these has made this laptop exceptional.
Connectivity
The device is equipped with revolutionary connectors that are essential in our everyday like- it has a USB 3.1 Gen 1 Type-C port, USB 3.0 Type-A port, RJ45 Ethernet port, a Thunderbolt 3 port, an HDMI 1.4b port, combo audio jack, micro SD card slot, and a Kensington lock.
7. HP Envy 17T
HP Envy 17T is the best touch screen laptops for data scientists which is a powerful laptop also like this model has a sleek aesthetics & a powerful processing conglomerate with excellent display & outlook, stunning design, and performance-oriented GPU. Still, it’s a matter of sadness that the speakers are underperforming & the laptop could have packed with a bigger battery. Overall, this version is cool for data scientists.
- CPU: 1.8 GHz Intel Core i7- 1065G7
- RAM: 16 GB
- GPU: 4GB NVidia GeForce MX330
- Storage: 256GB SSD + 1TB HDD
- Display: 17.3 inches FHD IPS non-Touch (3840×2160)
- Battery: +10 hours
Design & Display
This version of HP has 255 nits of display brightness & the body has amazing light-gray aluminum chassis with the diamond-shaped sharp edge, but this device is extremely heavy than the previous generation weighing over six pounds, so it’s a little difficult to bear all day long for a data science student.
Performance
The device is arranged with 10th Gen Intel Core i7-1065G7 that boasts of excellent performance, not only that it also has 16GB RAM & 256 GB SSD storage, which helps to perform lots of work together and speed up boot-ups.
● Several tests have been done to examine this laptop’s capability for data science, like the Envy 17T’s single-threaded score is 188 & multi-threaded score is 579, it’s MX330 GPU’s sky driver has scored 10,401 with integrated graphics.
Connectivity
The connectivity of HP Envy 17T includes Wi-Fi 802.11/b/g/n and has come with lots of ports & slots like it has a USB 3.2 Gen 1 Type-A port (w/ charging), HDMI 2.0 port, headset jack, a USB 3.2 Gen 2 Type-C port, DisplayPort 1.4, Power Delivery 3.0, Full SD Card Reader slot, and 2x USB 3.2 Gen 1 Type-A port.
8. Acer Predator Helios 300
Acer Predator Helios 300 is the top gaming & data science laptops for students who have taken their career for being a great data scientist as you can explore caveats of data visualization, mining & photocopying because the laptop ha as decent keyboard & dashing touchpad, fastest hardware which performs swiftly & quickly, good wireless performance, enthralling display, powerful processor, long battery life and all of these you can have in a reasonable price that’s why this is called the best budget laptop for data science experts.
- CPU: 2.8GHz Intel Core i7-7700 HQ
- RAM: 16GB RAM
- GPU: NVidia GeForce GTX 1660 Ti
- Storage: 256 GB SSD
- Display: 15.6 inches full HD
- Battery: +7 hours
Design & Display
The laptop has outstanding aluminum & plastic designed body that has a black metal lid with two red stripes flanking the logo, and the 15.6 inches display is surrounded by a bezel and covers 81 percent of the sRGB color gamut.
● This version has a responsive & comfortable keyboard with 1.6mm of key travels, and the key requires 79 grams of pressure, which provides you feel like light & clicky, and the 4.1 x 3 inches trackpad is so spacious & accurate that you won’t feel bored at the time of working.
Performance
Acer Predator Helios 300 provides the best productive performance because of having strong Intel Core i7-7700HQ processor, 16 GB RAM, and 256 GB solid-state drive storage to open lots of tabs together and can download & save huge data in your laptop.
● The predator takes only 27 sec to copy 4.97GB of mixed files at the rate of 188.5 MBps, also takes 3 minutes & 22 seconds to pair 20,000 names & addresses in a spreadsheet, and all of these you can do because of having long battery life, most importantly, the device remains cool under the simple workload.
Connectivity
Acer Predator Helios 300 is an outstanding laptop with well-equipped configuration as the device has lots of significant ports & slots that are essential in our everyday life like it has one USB 3 Type-A ports, one USB 3 Type-C Gen 1 port, one HDMI port, one ethernet port, SD card reader slot, and microphone or headphone jack.
9. Lenovo Yoga 730
Lenovo Yoga 730 is the best 2-in-1 laptop for budding data science students & professionals because besides featuring an extensive specs-sheet, the laptop is well known for the multimode functionality with competitive price not only that the laptop has exceptional design & form factors, enthralling display, decent processing power, and extremely lightweight that with very easy to bear for students all day long.
- CPU: 1.8GHz Intel Core i7-8550U
- RAM: 16 GB DDR4 memory
- GPU: NVidia Geforce GTX 1050
- Storage: 512 GB SSD
- Display: 15.6 inches FHD Touch (3840x 2160)
- Battery: +8 hours
Design & Display
The gorgeous outlook & professional design has made Lenovo Yoga 730 more eye-catching than the previous generation as the body of the laptop is made with aluminum & finished in the dark shade, which is known as Iron Grey, and there is a subtle logo on the right side of the screen.
● The 15.6 inches touch screen offers a display resolution of 3840×2160 pixels; not only that Lenovo boasts of sharper viewing angles & unmatched visual clarity and if you are a data science student, but the backlit keyboard & responsive, the smooth trackpad will also provide you much advantage at the will of completing course task.
Performance
This laptop has a powerful processor that is capable of handling data processing & analytical requirements with an Intel UHD 620 integrated graphics card that enhances performance, and the device has four Hyper-Threaded cores that provide you benefits at the time of multi-tasking.
This laptop has a powerful processor that is capable of handling data processing & analytical requirements with an Intel UHD 620 integrated graphics card that enhances performance, and the device has four Hyper-Threaded cores that provide you benefits at the time of multi-tasking.
● The strong processor is equipped with 16GB RAM & 512 GB SSD and an NVidia GeForce GTX 1050 chip, which helps you to handle graphical applications; not only that it has a highly responsive keyboard & trackpad with 0.7mm of key travel that provides you an advantage at the time of working all day long, but the laptop doesn’t have any number pad which is a little irritation on a machine designed for productivity.
● The strong processor is equipped with 16GB RAM & 512 GB SSD and an NVidia GeForce GTX 1050 chip, which helps you to handle graphical applications; not only that it has a highly responsive keyboard & trackpad with 0.7mm of key travel that provides you an advantage at the time of working all day long, but the laptop doesn’t have any number pad which is a little irritation on a machine designed for productivity.
Connectivity
The connectivity of Lenovo Yoga 730 is best than others and preferable to the consumers also as the provided slots & ports are so easy to connect with another device like it has a USB 3.2 Gen 1 sleep & charge port, an HDMI port, a headphone jack, two USB 3.2 Gen 1 ports, SD card slot, and the networking system is good too with Bluetooth 5.0 support & Wi-Fi 6.
10. Apple MacBook Pro
Data scientists cannot deny their love for Apple MacBooks, and this version of MacBook Pro is designed to handle the complex applications for data modelling & visualization; not only that, it has excellent graphics support, sizable battery life, excessively strong processor, and retina display with decent colour reproduction.
- CPU: 2.6 GHz 9th Gen Intel Core i7
- RAM: 16GB
- GPU: 4GB AMD Radeon Pro 5300M
- Storage: 512 GB SSD
- Display: 16 inches Retina (3072x 1920)
- Battery: 11+ hours
Design & Display
Apple has slimmed down this version of MacBook Pro, which looks & feels solid but uninspired. In particular, the top bezel is pretty thick that can be compared with the Dell XPS 13, but the display remains unchanged, which is best than other laptops.
● At display, you will get a bright & sharp panel, which is great for editing photos, watching videos & getting work done; not only that the screen has 485 nits of brightness, and in terms of color production, the MacBook Pro’s screen registered 114% of the sRGB color gamut.
Performance
The improved MacBook Pro features world class-leading Intel Core i7 with a base clocking speed of up to 2.6GHz as the data scientists prefer processors with multiple cores.
● The 16 GB RAM & 512 GB solid-state drive provides ultra-fast storage & offers a decent capacity to the data scientists. That’s why you can open dozens of tabs in Chrome, streaming Spotify, edit images in Pixelmator, not only that the laptop takes 12 minutes and 43 seconds to transcode 4K video to 1080p.
● The battery life of the laptop is really impressive. It takes to run 10 hours & 21 minutes on the web surfing battery test at 150 nits of brightness, and this runtime is higher than the Dell XPS 13. There is a comfortable keyboard with 1mm key travel, which will provide you advantages at the time of data analysis.
Connectivity
Apple MacBook Pro is famous for its connectivity, which helps to do more diverse works by making configuration with other devices, like- it has Thunderbolt 3 USB cables, Thunderbolt 2 port, USB Type-C port, which is used for joining adapter, mini display port, USB Type-A port, an HDMI cable, an Ethernet RJ45 cable, FireWire port, SD card slot, 3.5 mm audio jack, and the power port.
Frequently Asked Questions
Why the MacBook can be considered for Data Scientists?
Data scientists love the features of MacBooks, which is best for handling various complex software & applications as the macOS is intrinsically built on the UNXI platform; not only that it has some perplexing tools which are good at data photocopying, data testing, & data visualization and all of these the laptop can do because of having such a powerful processor.
Are Data Scientists can use gaming laptops easily?
Gaming is close to data science as both require GPUs & a lot of computing power, and if you are a budding data scientist and need to build a simple data model using statistical libraries like Keras & Tensorflow where a decent amount of RAM is the only requirement there you use gaming laptop for your data science course.
Is Multi-Core Processor essential for better data processing?
A CPU that offers a multi-core processor may perform significantly better than a single-core processor of the same speed not only that it can handle different data thread simultaneously, allowing a much quicker transfer of data at any given time and most of the data processing tools like Python & R are multi-threaded which needs high-end processors to work flawlessly.
What is the role of GPU for data scientists?
GPU is parallel processing oriented, which is used for extensive data processing tasks & for complex calculations, and it is necessary only if the data scientist is looking for deep learning tools not only that the high-end GPUs are important if neutral networking is concerned.
Verdict
Data scientists are a current breed of analytical data experts who are skilled in solving complex problems, and it so an innovative profession that they need a powerful laptop that can handle high-end data processing requirements.
There are huge laptops that can be used for data science, but all laptops aren’t good at every side, that’s why you must know your needs like- if you want good storage, RAM & processing speeds, then Asus ROG Strix Scar III & Razer Blade Pro 17 will be a good choice and if you want a laptop with remote server access then Lamba TensorBook is unbeatable than other laptops, and recently it has gained much attraction among consumers.
On the other hand, if you are a MacBook lover, then nothing can beat the efficacy of the New Apple MacBook Pro as this version is designed to handle all kinds of complex applications & tools. Besides, if you are a student or an aspiring data scientist with fewer requirements, then Lenovo Yoga 730 will be a decent device for you. Not only that, if you love to play games along with doing hard-core data science tasks, then Acer Predator Halios 300 will be perfect for you.
