Best Laptops for Data Science

This post contains or may contain affiliate links. we earn from qualifying purchases, refer to our affiliate page


Before going into the details of the Best Laptops for Data Science; it is essential to know who data scientists are.

Data Scientists are basically responsible to analyze and filter raw and unstructured data into a refined form.

These data scientists are capable of having multiple to have grip on multiple skill sets including mathematics, statistics and computer science.

Data scientist’s work comprises of converting of unstructured data into a decent and organized database.

Since this is mainly technical and advanced work therefore there is always a need of the right gadget to work on in order to have the right database.

Best Laptops for Data Science

Speaking of this we will now share the best laptop machines for Data Science which will help the data scientists to prepare the right piece of information to make an accurate database.

1. ACER SWIFT 3-Best Laptops for Data Science

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 14” Full HD. CPU: 8th Gen Inter Core i7. Graphics: NVIDIA GeForce MX150. RAM: 08 GB DDR4. Storage: 256GB SSD. Weight: 2.7 lbs.

Acer Swift 3 is an ideal machine for data scientists to have with a decent budget. This work laptop has 256 GB SSD which is ideal for multitasking and makes work super smooth and efficient.

Moreover having a powerful battery that lasts up to 12 hours makes the working experience more convenient. Apart from this, the combo of core i7 with 8 GB of memory makes this machine super fast.

If you are a beginner in Data analysis and looking to explore the caveats of data visualization, mining, and prototyping, then this Acer Swift 3 is the perfect laptop to invest in.  It has full HD display with extra ordinary clarity.

The display resolution of this laptop is excellent visual quality. If you are a budding data scientist who is looking to explore the caveats of data visualization, mining, and prototyping, the Acer Swift 3 is the perfect laptop to invest in.

Pros
  • Ultra-lightweight
  • 3:2 display is very useful
  • Ice Lake CPUs
  • Covers 98% sRGB (BOE08BC)
  • USB-C with support for DisplayPort
  • Enormous Precision touchpad
  • Backlit keyboard
  • Fast NVMe SSD
  • Wi-Fi 6
  • Good system performance
Cons
  • No SD card reader
  • RAM not upgradeable
  • Display with low PWM frequency
  • Aspect ratio scaling on some apps
  • Intel “Ice Lake” CPUs outpaced by Ryzen 4000
  • Glossy display despite no touch

2. ASUS ROG STRIX SCAR III:

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 17.3” Full HD. CPU: 9th Gen Inter Core i7. Graphics: NVIDIA GeForce 8GB. RAM: 16 GB DDR4. Storage: 1GB SSD. Weight: 6.2 lbs

Asus Rog Strix Scar III is a powerful gadget to have while it comes to data analysis.

With its 9th generation Core i7 fast processing complemented with 16GB memory and having a dedicated GPU support of 8GB, makes it one of the best machines to have.

The laptop weighs just above 6 pounds which makes it convenient to handle.

Asus is one of the most promising brands that has been developing an app on an application building platform with limited resources can be a tricky deal ahead. 

Eventually reduces your effort in installing the required plug-ins one by one individually. That’s another reason for choosing one such laptop for yourself.

It’s screen is quite mandatory for displaying the loading app web pages with high graphics resolution. Hence, ASUS Rog Strix Scar III is perfect and the most promising for Data Science.

Pros
  • Good maintenance and repair options
  • Eye-catching RGB lighting
  • 240Hz refresh rate
  • Supreme CPU speeds
  • New design is as aggressive as they come
  • Shadow Drive and Keystone are insanely cool
  • Keyboard is very responsive
  • Runs old and new games extremely well
Cons
  • Weak battery life
  • No Thunderbolt 3
  • Struggles to stay cool
  • Single channel RAM is a major bottleneck

3. Dell XPS9560:

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 15.6” 4K Touch creen. CPU: 7th Gen Inter Core i7. Graphics: NVIDIA GPU GTX 1050. RAM: 16 GB DDR4. Storage: 512GB SSD. Weight: 4 lbs.

Dell XPS9560 happens to be one of the very few machines with 15.6” touch screen design and sleek display.

This laptop is a great choice for the ones who love sleek and sophisticated designs and want a hand at great performance too.  

Dell XPS9560 has Core i7 processor and 16GB memory not only makes this laptop remarkably fast but on the other hand its 15.6” 4K display makes working experience mesmerizing.

It’s infinity Edge touch display screen make it really big, and its high resolution makes it a visual treat! The touchscreen is smooth and hence is great to work on.

This laptop only weighs 4 pounds which makes it easy to carry and hold. It is an overall a golden buy for the people dealing in with data. It definitely has some great specifications at an amazingly affordable price.

Pros
  • Speedy performance
  • Impeccable build quality
  • Excellent IPS display, no matter if you go for the UHD or FHD version
Cons
  • Expensive
  • Lackluster battery life
  • The GPU throttles at very high

4. Lenovo ThinkPad P15s:

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 15.6” Full HD. CPU: 11th Gen Inter Core i7. Graphics: NVIDIA Quadro T500. RAM: 16 GB DDR4. Storage: 512GB SSD. Weight: 10 lbs

Lenovo ThinkPad P15s is one of the best machines when it comes to customization as it comes in different capacities.

You can have this laptop starting from 16GB RAM to 48GB RAM and with storage space starting from 512GB to 2TB SSD.

Fingerprint sensor support makes this laptop more secure. Apart from this there is dedicated NVIDIA powered GPU support as well and the most important thing which makes this laptop standout it’s 2GB SSD.

Pros
  • Matte IPS screen
  • Stable.
  • Well-built casing.
  • Very good battery life.
  • NVMe SSD.
  • Empty slot for an LTE modem.
  • Thunderbolt 3.
  • three-year warranty
Cons
  • CPU throttles in battery mode.
  • Temperatures too high during full load.
  • Undersized power supply

5. New HP Envy 17T

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 17.3-inch FHD IPS Touch (1920 x 1080). CPU: 1.3GHz Intel Core i7-1065G7. Graphics:  NVIDIA GeForce MX250. RAM: 16GB. Storage: 256GB SSD + 1TB HDD. Weight: 2.7 kg.

HP is one of the famous brand in market for developing graphics intensive applications. It has 10th generation newest Intel iCore 7 1065G7 processor CPU runs up to a speed of 1.3GHz.  

The 8MB L3 cache cleaning technique is quite reliable to remove the unnecessary junk files from your system, if needed. 

The laptop has a 17.3-inch HD+ screen supporting resolution up to 1600 x 900 and enhanced with SVA Bright View WLED-backlit technology.  

The capability to see the data analytics results with extreme clarity in form of charts or other visualization tools because of its  NVidia GeForce MX150 (4GB).

All kind of flexibility of migrating the huge amount of data on other secondary storage devices at high transfer speeds.

Best laptop for data science 2021 reddit. If you are looking for the best option for data science, New HP Envy 17T is the best option in HP.

Pros
  • Good build quality
  • Plenty of ports
  • Decent graphics performance
  • Good thermal management
  • Loud and clear speakers
  • Very good keyboard
Cons
  • Lacks Thunderbolt 3
  • Very heavy
  • Finicky fingerprint reader
  • Poorly constructed touchpad
  • No 4K touch display options

6. Razer Blade 15:

Best Laptops for Data Science | Best Laptops for Data Science
Screen:  15.6 inch 165Hz. CPU:  Intel core i7-11800H. Graphics: NVIDIA GeForce RTX3070. RAM: 16GB. Storage:  1TBPCle SSD. Weight: 4.6 pounds (2.13kg).

Razer Blade 15 is the best laptop for Data Scientist with powerful processor and stylish sleek design.

It has fast processing speed and do multiple tasks at the same time without slowing down.

It’s graphic card is perfect for Data Scientist to enjoy some casual games during their downtime while also being able to do multiple task without any problem. best laptop for data science 2020.

Razer Blade 5 has a plenty of space for multiple programs running at the same time without any trouble and store heavy files.

The interior of laptop is sleek and stylish with an all-black finish and best display for Data Scientist.

It’s not wrong to say that this laptop is perfect for engineers who are passionate about data.. Razer Blade 5 has HDMI support to hook with large screen.

It has light weight so an Interior Designer can easily carry with them. It offers great connectivity options such as Bluetooth.

Programming students are also likely to use same kind of laptops. Here are 6 best laptops for Programming students.

You will have a great experience while using Razer Blade 5 because you won’t feel limited by its availability of ports and connectivity options.

Razer Blade is the fastest laptop for data science or any intensive use. Not only will it allow you to crunch data quickly, but the full HD thin-bezel display will give you more edge than your competition.

Pros
  • Sleek, slim design with premium metal build
  • 360Hz FHD screen
  • Great overall and graphics performance
  • Lots of ports
  • Easy to control with Synapse
  • Good battery life
  • Excellent touchpad
  • Thunderbolt 3
  • Power Delivery over USB-C
Cons
  • High starting price
  • Keyboard still needs some work
  • Dim screen

7. New Apple MacBook Pro:

Best Laptops for Data Science | Best Laptops for Data Science
CPU: Apple M1 8-Core. RAM: 8GB. Storage: 512GB SSD. Screen: 13.3-inch FHD Retina (2560 x 1600). Graphic: Integrated 8-Core. Weight: 39.7 lbs.

Apple Mac Pro is a high-performance tower workstation computer that combines flexibility with power for professional users.

Apple MacBook Pro must be on top of your list while you’re looking for a laptop that provides ample scope to develop iOS apps, android apps in your laptop without disturbing the ongoing applications.

In most cases, applications concerning data modeling and visualization are designed to work the best on the macOS which validates the popularity of the new MacBook Pro M1.

Data scientists prefer processors with multiple cores and the new MacBook Pro has 8. The integrated 8-Core is a market-moving component that works closely with the processor. 

This is the best laptop for data science machine learning process.

It has solid-state storage unit which is ultra-fast and offers a decent capacity to data scientists who are always on the move.

Overall, the new MacBook Pro is the best choice for this profession courtesy of its speed and computing power.

Most importantly, the graphics units are exceptional with this device for added support while handling intricate analytics.

Pros
  • FireWire is still around
  • Stylish And Sturdy Design
  • Excellent Keyboard
  • Long Battery Life
  • Intel Sandy Bridge processors with HD 3000 graphics
  • Solid aluminum unibody skeleton
  • Fast overall performance
  • Excellent keyboard and touchpad
  • Robust software package
  • Excellent internal upgrades from previous model
Cons
  • At 1440×900, 13-inch MacBook Air has a higher-resolution display
  • Built-in battery can’t be removed
  • No matte display option
  • Display Panel Offers Below Average Resolution
  • Thunderbolt Adapters Not Included
  • Solid state drives not included on standard package (128GB SSD can be purchased for additional $250)
  • Only upgradable to 8GB of system memory
  • Less graphics performance than predecessor
  • No Blu-ray drive
  • Even after all these years, some business software is not compatible with OSX

8. Lenovo IdeaPad 3:

Best Laptops for Data Science | Best Laptops for Data Science
CPU: 1GHz Intel Core i5-1035G1. RAM: 12GB. Storage: 256GB SSD. Screen: 15.6-inch HD Touch (1366 x 768). Graphic: Integrated Intel UHD G1. Weight:  4.96lbs.

Lenovo IdeaPad 3 is the most basic laptop yet higher performance laptop for pretty much ANY type of data analysis.

It’s also more than ideal for anyone getting started with data analysis this includes students doing research with or taking classes of Data Analysis. This is the best laptops for data science reddit.

Lenovo offers a budget-friendly solution that brings the processing power to get through the activities as a data science student.

The processing power of a quad-core Intel Core i5-1035G1 will take care of the data-oriented analytical processing. 

Lenovo Idea Pad 3 has a good RAM and Storage for data scientist with HD touch screen to do different task.

Data Scientist can also run any Data Analysis package and software. The truth is, all laptops with a GPU are good enough to tinkle around with parallel computing.

The battery takes the fall in this Lenovo machine as the company advertises 7 hours of battery life, but most of the time, you would get around 4-5 hours.

With a backup of up to 4 hours, the power adaptor has to tag along, more often than not.

Pros
  • Good performance for the money
  • Under-$200 price
  • Good battery life
Cons
  • Low-quality, low-res screen with big bezels
  • Cheap, plasticky con

9. Acer Nitro 5:

Best Laptops for Data Science | Best Laptops for Data Science
Screen: 15.6” 144Hz. CPU: AMD Ryzen 7 5800H. Graphics: GeForce RTX 3050 Ti. RAM: 16GB RAM. Storage: 1 TBSSD. Weight: 4.85 pounds.

Acer Nitro 5 is the best option for interior designers who are looking for powerful machine in budget and carries on the legacy of our award-winning Nitro laptops.

This best laptop provider for data science is equipped with a quad-core Intel Core processor that delivers the performance you can measure in hours instead of minutes.

It is perfect for tackling demanding tasks while also lasting for hours on a single charge.

It has powerful Graphic NVIDIA GeForce GTX 3050 Ti), this sleek laptop offers brilliant visuals as well as extraordinary.

Acer Nitro has a great resolution with IPS display never miss anything related to data science at an affordable price point!

The Acer Nitro 5 is designed specifically with the needs of data scientists in mind.

The powerful processor combined with razor-sharp graphics cards, top-notch memory and storage options, and long battery life means that you can finally master all levels of performance – whether for gaming or doing intensive work.

It work through data science problems using multiple monitors including 4K resolution via HDMI 2.0a port. Acer Nitro 5 is the best option for Data scientist.

Pros
  • Competitive performance for the price
  • Runs surprisgly cool and quiet with demanding loads
  • Superb AMD processor
  • Easy to open up and upgrade
  • Fast 144 Hz IPS screen
Cons
  • Heavy and bulky case
  • Flimsy display lid
  • Mediocre battery life
  • No biometrics, card-reader or USB-C video/charging

10. ASUS ZenBook15:

Best Laptops for Data Science | Best Laptops for Data Science
Screen:  15.6 inch FHD Nano Edge bezel touch display. CPU:  10th Generation Intel Core i7. Graphics: GeForce GTX 1650 4GB. RAM: 16GB. Storage:  1TB SSD. Weight: 3.60 lbs.

ASUS ZenBook 15 is being one of the best laptops for an Data Scientists, this stylish laptop is ultra-slim laptop that is slim and sleek.

It provides great multitasking speed with its processor for running and installing many graphic and software.

It provides plenty of processing power which make it great for scientists who work with large files or multiples tasks are doing in the same time without slowing down.

Asus ZenBook 15 has a high quality graphic card GeForce GTX 1650 4GB make this laptop perfect for gaming or scientist who want to take their work in one go without having any distracting  while working on projects or gaming.

The ASUS ZenBook 15 is the best laptop for data science is perfect if you’re looking to upgrade from your cramped office setup.

It storage is more than enough to for all your data needs without having to worry about anything. It display offers both versatility and portability, making it perfect for for those who prefer for full sized keys. 

Asus ZenBook 15 has a touch screen display that offers millions of pixels  for handling your graphics and providing more speed with the quality visuals.

It has stereo sound quality speakers with HD webcam for video calling. Hence Asus ZenBook 15 is a complete package for Data Scientist.

Pros
  • Brilliant design
  • Powerful hardware
  • Great battery life
  • Good system performance
  • Also suited for gaming
Cons
  • Highly reflective display
  • Only 2GB of VRAM
  • Lacks Thunderbolt 3 port

Factors to Consider when Buying a laptop for Data Science

Best Laptops for Data Science | Best Laptops for Data Science

There is no one-size-fits-all answer to the question of what the best laptops for Data Scientists students are. However, there are a few factors that you should take into account when making your purchase decision.

First, consider the type of Data Science you will be doing. If you will primarily be working with Java or C++ code, then you need a laptop with a powerful processor and plenty of RAM.

If you will be using more high-level languages like Python or Ruby, then less powerful hardware will likely suffice.

There are so many things that you have to weigh before buying any laptop. As a matter of fact, Data Science laptops should be able to execute the heavy programs that are CPU and GPU intensive.

Now sit tight and buckle up your seat as I take you through the factors one by one.

1.RAM

This is the most important factor to consider as a Data Science student. The fact is that you need at least 16GB of RAM for Data Scientists laptops.

Anything less than that and you might as well buy any other laptop because it will be difficult, if not impossible, to work with heavy programs on low-RAM machines. or rather consider upgrading your ram

2. CPU

The processor should also be a key consideration when looking for laptops for Data Scientists.

You need something that is fast and powerful, like an Intel Core i series or an AMD Ryzen. Anything less will make your work difficult.

3. GPU

A Graphics processing unit (GPU) is also important as Data Science student. The fact is that you will be working with graphics-intensive applications, so you need a good GPU.

Ideally, you should look for a laptop with an Nvidia GeForce or an AMD Radeon graphics card.

4. Storage

In addition to the above factors, you also need to consider the storage capacity of the laptop.

You will require a lot of space to store your Data Science files, so it is important to get a laptop with a large storage capacity.

The best laptop for data scientist 2021 usually come with at least 512GB of storage space.

5. Screen size and resolution

Another factor to consider is the screen size and resolution of the laptop.

As a programmer, you will be working with a lot of code and text, so it is important that the laptop has a screen with at least 13 inches of display.

Ideally, you should look for laptops that have high-resolution screens (at least 1080p) and anti-glare displays to reduce eye strain.

6. Price tag

Last but not least is the price. You can get an excellent Data Science machine if you spend enough money on it; however, there are also some good choices in the more affordable range as well.

So make sure your budget will allow you to buy what you need without straining yourself financially too much.

Don’t forget about discounts either! There’s no harm in looking around for sales or promotions from time to time – this could save you hundreds (or even thousands!) of dollars when buying new hardware like laptops.

So those are the main factors you need to consider when buying a laptop for Data Scientists.

Make sure to keep them in mind as you shop around, and you’ll be able to find the perfect machine for your needs!

Our conclusion on the Best Laptops for Data Scientists

Students in computer science and Data Science courses need a laptop that can handle heavy loads of data, but there is no one size fits all solution.

The best laptops for Data Science students will depend on what they want to do with their device and the type of software they plan to use it with.

If you’re an engineering student who needs to write code or run simulations on your laptop, then you might prefer a MacBook Pro because these devices have powerful processors and large hard drives.

For business majors who just need to take notes during lectures, any Windows 10-based PC should be sufficient as long as it has enough storage space for pasting lecture slides into Microsoft Word documents later on.

Regardless of which kind of program you study, we hope this article helped.

Leave a Comment