Data science is a complex field, and as a data scientist, you need a powerful and reliable laptop to help you get your work done. In this blog post, we’ll be discussing the 9 best laptops for data science in 2023. We’ll also be giving our expert recommendations on which of these laptops would be best suited for your needs.
These are the best laptops for data science and what to look for when buying one. We will also make some suggestions to help you make your choice.
Table of Contents
What are the Best Laptops for Data Science & Analysis?
When you’ve got a laptop you want that will run at very high pc speed with very good memory and processor power. The Macbook M1 Pro 13.3′′ is probably the best laptop in data science! I also use these laptops for my daily driving tasks and data analysis activities. However, because Apple has developed M-1 silicon chips, you can handle more demanding machine learning activities, such as deep learning.
Top 9 Best Laptops for Data Science with Specifications and Features
Today, data science offers an exciting career choice. Whatever your knowledge of data science, you should find specialized computers to assist your job. The following list shows laptop models which are reliable and satisfy your inner scientist.
“Enhanced Performance: Larger-screen laptops offer superior hardware and storage features, crucial for data science. Portability trade-offs outweighed by screen size benefits.”
Graphics Processor Core and Speed
Graphic processors are critical to ensuring the performance of data scientist laptops. The graphics card is built with a higher-performance CPU that offers higher data processing performance. Although graphics cards are common on most gaming notebooks, they are usually used in mobile workstation systems. The NVIDIA GeForce GT X is generally the most reliable GPU.
So, whether you’re looking for a new laptop for yourself or as a gift for a data scientist friend, read on!
Apple MacBook Pro:
Apple Mac Book Pro :
Processor: Apple M1 Chip,8-core CPU| GPU : 8-core GPU | Display: 13.3-inch (diagonal) LED-backlit Retina display| RAM:8GB|ROM: 256GB SSD | Battery Back Up: 20 Hours| Weight: 3 pounds
The Apple MacBook Pro is one of the best laptops for data science available on the market today. It has a powerful processor and lots of storage space, making it perfect for crunching data. It’s also lightweight and easy to transport, making it a great choice for on-the-go data scientists.
As a data scientist, you need a laptop that can handle the most demanding tasks. The best laptops for data science include powerful CPUs and dedicated GPUs.
The thinnest, lightest MacBook Pro ever, superfast SSD, and all-day battery life.* And it includes the Touch Bar — a Multi-Touch–enabled strip of glass built into the keyboard for instant access to the tools you want, right when you need them
The Apple MacBook Pro 13.3″ with Retina Display is a great option for data scientists. It has a powerful Apple M1 Chip,8-core CPU, and a dedicated AMD8-core GPU. This combination allows you to quickly process large data sets and run complex algorithms.
Apple MacBook Pro 13.3″ with Retina Display with a resolution of 2560 x 1600 pixels is one of the best laptops for data science. It comes with a large and beautiful display, great performance, and long battery life. If you are looking for a powerful laptop to use for data science, then the Apple MacBook Pro 13.3″ with Retina Display is a great option. It provides beautiful, sharp images and makes it perfect for working with data visualizations.
In addition, the laptop also comes with 8GB of RAM and a 256GB SSD for storage. These specs provide you with plenty of power and storage so that you can work on large datasets without any issues.
“Versatile” new MacBook Pro boasts numerous Thunderbolt 3 and USB-C ports, ideal for charging, data transfer, and connectivity needs. Also includes a headphone jack.
So whether you need to charge your phone, transfer data to a flash drive, or connect an external monitor, the new MacBook Pro has you covered.
- Thunderbolt 3
- Headphone jack
- Great looking, light-weight, quick and responsive
- Fast SSD
- Built-in Touch Bar
- macOS High Sierra 10.13
- Plenty of ports and accessories
- No Thunderbolt 3 dongle required
- Very good battery life
- Issues with the optical drive (if you have one)
- Thunderbolt is slow and requires a separate power supply.
Dell XPS 15:Best for Data Science Laptops
Dell XPS 15: :
Processor: Intel Core i7 11th Gen | GPU : Nvidia GeForce GTX 1650 Ti | Display: 16:10 FHD+ edge to edge display | RAM:16GB|ROM: 512GB SSD | Battery Back Up: — Hours| Weight: 4 pounds
The Dell XPS 15 is great for data science students or pros. It has a powerful 11th-gen Intel Core i7 processor, 16GB RAM, and a 512GB SSD, making it ideal for running R, Python, or MATLAB. Fast data transfer speeds help with large data sets.
The Dell XPS 15 boasts an impressive 4K Ultra HD display with a resolution of 3840 x 2160 pixels. This feature is particularly important for data scientists who need to work with visualizations or images as it allows for more accurate analysis of data. The laptop also has a long battery life of up to 8 hours, which is ideal for working on the go.
When it comes to operating systems, the Dell XPS 15 comes with Windows 10 pre-installed. Although some data scientists prefer Linux-based operating systems, Windows 10 is still a reliable and popular choice for many.
In summary, the Dell XPS 15 is one of the best data science laptops on the market, offering high processing power, a large amount of storage, and an impressive display. It’s a perfect choice for data scientists who require a laptop with great computing power for their data analysis tasks.
- Larger display for a more immersive experience
- Excellent UHD+ display with minimal bezels
- Trackpad that is both comfortable and well-constructed.
- A high-speed SSD for loading programs in seconds
- A large amount of RAM for running multiple applications at once
- Powerful processor and graphics card to handle complex calculations and graphics
- Long battery life to keep you working all day
- No Thunderbolt 3 Port
- Only One USB Type-C Port
TensorBook: Best Performative Laptop for Data Science Tasks
Processor: 10th Gen Intel Core i7-12800H 8 Cores | GPU : NVIDIA RTX 3070 Ti | Display:240 Hz 1440p 15.6”| VRAM:8 GB GDDR6|ROM: 1TB SSD | Battery Back Up: 10 Hours| Weight: 2.1 kg / 4.43 lbs
If you’re looking for a laptop that can handle data science workloads, Data analysis tasks require a high level of computing power, and a data science student or data analyst needs the best laptop to handle the job. TensorBook is one of the best data science laptops in the market that can provide excellent computing power.
The operating system of TensorBook is Linux-based, which is perfect for data scientists who need to work on open-source data analysis tools like Python, R, and MATLAB. It comes with powerful processing power, including a high-end graphics card and CPU cores, to handle intensive data analysis tasks.
TensorBook is the perfect laptop for building data models as it provides a smooth workflow to manage datasets. The laptop has a large RAM that helps run multiple tasks simultaneously. The best feature of the TensorBook is its portability, which makes it easy for data scientists to work from anywhere.
Data scientists prefer TensorBook over a Windows laptop because it is compatible with most open-source data analysis tools, and it provides better computing power. TensorBook is the best choice for data analysts who need a laptop for data analysis tasks and building data models.
TensorBook is a new kind of laptop designed specifically for performing artists and designers. T
TensorBook was created by a team of engineers at Google who wanted to build a better laptop for creators. They decided to start from scratch, designing a completely new computer from the ground up.
- Strong GPU.
- Display with 4K resolution.
- Designed for Machine Learning and Artificial Intelligence
- Libraries that have already been installed
- Lambda Stack is an acronym that stands for Lambda Stack.
- GPU and memory at the pinnacle of performance
- Deep learning libraries are already pre-installed.
- A little on the pricey side.
Acer Swift 3(2020): Best Budget Laptop in the World
Acer Swift 3 :
Processor: Intel Core i7-1165G7.| GPU : Intel Iris Xe | Display: 14″ Full HD widescreen LED-backlit 100% sRGB display| RAM:8GB|ROM: 256GB NVMe SSD | Battery Back Up: 16 Hours| Weight: 2.65 pounds
The Acer Swift 3 (2020) is a great option for data scientists on a budget. This laptop offers a lot of value for its price, making it one of the best options for anyone who wants to get their work done without breaking the bank.
Firstly, the webcam on the Acer Swift 3 is decent, although not exceptional. It’s fine for video conferencing and online meetings, but don’t expect it to produce high-quality video footage. The display, however, is quite impressive, with a 14-inch full HD IPS panel that delivers accurate colors and sharp details.
The speaker quality is average, and the headphone jack is a nice addition for those who prefer wired audio. The keyboard on the Acer Swift 3 is comfortable and responsive, which is important for data scientists who need to type for long periods of time.
The CPU and GPU performance are decent for most data science tasks, with an Intel Core i7-11th Gen processor and an NVIDIA GeForce MX350 graphics card. The laptop also has 8GB of RAM and a 512GB SSD, which should provide ample storage and quick load times.
The battery life of the Acer Swift 3 is quite good, with up to 11 hours of use on a single charge. This makes it a great option for those who need to work on the go without worrying about running out of juice.
Overall, the Acer Swift 3 (2020) is a solid choice for data scientists who need a laptop that offers good performance, a comfortable keyboard, and a decent display. It’s also a great value for the price, making it a top pick for anyone on a budget.
This makes the Swift 3 an ideal choice for students and professionals who need a reliable laptop for data science work.
- Aluminum chassis with a premium feel.
- Exceptionally large and precise touchpad
- Keyboard with backlighting
- NVMe SSDs are extremely fast.
- System performance that is satisfactory
- Awful non-touch display.
- The keyboard layout is clumsy.
- MicroSD slot requires a pin or bent paper clip.
Lenovo Ideapad 3 : Good for Data Sciencetist
Lenovo IdeaPad :
Processor: AMD Ryzen 5 5500U| GPU : AMD Radeon 7 Graphics | Display: 14.0″ FHD Display| RAM:8GB|ROM: 256GB SSD | Battery Back Up: 12 Hours| Weight: 4.40 pound
Lenovo Ideapad 3 is a great option for data science students and professionals who require a powerful machine for data analysis tasks. With its robust processing power, this laptop can handle complex data modeling and analysis tasks with ease.
This laptop features an Intel Core i5 processor with four CPU cores, making it perfect for running resource-intensive applications like data analysis software. Additionally, it has an NVIDIA GeForce MX330 graphics card that provides impressive computing power, making it a great choice for data scientists who need to work with large datasets.
Data analysts and data scientists prefer this laptop because of its excellent performance and impressive specifications. The Ideapad 3 comes with a 14-inch display and a 1080p resolution, making it easier to visualize complex data sets. The laptop also comes with Windows 10, which is a widely used operating system among data science professionals.
One of the best features of this laptop is its affordability, making it accessible to students and professionals alike. Overall, the Lenovo Ideapad 3 is an excellent choice for building data models and performing data analysis tasks, making it one of the best data science laptops on the market.
- Excellent overall performance.
- There is a USB-C port included.
- Chassis built to last
- Keyboard and touchpad that are comfortable to use
- Fingerprint scanner that is built in
- Users have the option of upgrading their RAM (at their own risk)
- Speakers who aren’t very good
- Display that is unappealing
Lenovo ThinkPad X1 Carbon:
Lenovo ThinkPad X1 :
Processor: Intel Core i5-8265U Processor | GPU : Intel UHD Graphics 620 | Display: 14″ FHD (1920×1080) Ultrabook| RAM:8GB|ROM: 256GB SSD | Battery Back Up: 9 Hours| Weight: 2.38 pounds
The Lenovo ThinkPad X1 Carbon is a highly recommended laptop for data science professionals who prioritize performance, durability, and portability. It boasts impressive power in a slim and lightweight design, making it an ideal choice for handling complex computational tasks.
The keyboard is responsive and comfortable, while the numerous ports, including USB-C, HDMI, and Ethernet, offer convenient connectivity options. With its top-notch CPU and GPU, ample RAM, and speedy storage, the ThinkPad X1 Carbon is among the best laptops for data science.
The X1 Carbon also has a NVIDIA GeForce MX150 graphics card with 2GB of dedicated GDDR5 VRAM. This is an excellent GPU for machine learning and will allow the X1 Carbon to train neural networks quickly.
One standout feature of the ThinkPad X1 Carbon is its webcam. The camera captures clear and vivid images, making it ideal for video conferencing and online meetings. The display is also impressive, with a bright and vibrant panel that supports up to 4K resolution. The built-in speakers deliver crisp and clear audio, and the headphone jack ensures that you can enjoy high-quality sound even in noisy environments.
Under the hood, the ThinkPad X1 Carbon boasts an Intel Core i7 processor and an Intel UHD Graphics 620 GPU, which deliver smooth and reliable performance for data science tasks. The laptop comes with 16GB of RAM and up to 1TB of SSD storage, providing ample space for storing large datasets and running complex models.
Battery performance on the ThinkPad X1 Carbon is also impressive, with the laptop offering up to 18.3 hours of runtime on a single charge. This means that you can work all day without worrying about running out of power.
In terms of value for money, the ThinkPad X1 Carbon is a bit on the pricier side, with a starting price of around $1,399. However, for data science professionals who require a machine that can keep up with their demanding workloads, the price may be worth it.
Lenovo ThinkPad X1 Carbon pros:
- Lightweight and thin
- Long battery life
- Thin and light in weight
- Excellent WQHD panel with a matte finish.
- Performance that is acceptable
- Battery life is excellent.
- Warranty is for three years.
- Maintainability is extremely limited.
- LAN connectivity is only available through the (included) adapter.
ASUS ZenBook Pro Duo 15 OLED:
ASUS ZenBook Pro Duo :
Processor: Latest 10th generation Intel Core i7-10870H | GPU : GeForce RTX 3070| Display:15.6” OLED 4K UHD Touch Display| RAM:16GB|ROM: 1TB SSD | Battery Back Up: 9 Hours| Weight: 5.16 pounds
ASUS ZenBook Pro Duo 15 OLED is a great device for data science.
The ASUS ZenBook Pro Duo 15 OLED is an excellent choice for data science students, data analysts, and data scientists who are looking for a great data science laptop. With its powerful processing power and dedicated graphics card, this laptop is capable of handling massive datasets and complex data analysis tasks.
One of the standout features of the ASUS ZenBook Pro Duo 15 OLED is its dual-screen design, which provides plenty of screen real estate for building data models and visualizing data. The main 15.6-inch OLED display is a joy to use, with vibrant colors and deep blacks that make it perfect for viewing and analyzing data.
Under the hood, the ASUS ZenBook Pro Duo 15 OLED is powered by an Intel Core i9 processor with eight CPU cores, which provides plenty of computing power for running even the most demanding data science applications. It also comes with an NVIDIA GeForce RTX 3070 graphics card, which is essential for running graphics-intensive applications.
In terms of storage, the ASUS ZenBook Pro Duo 15 OLED comes with a 1TB solid-state drive, which provides plenty of space to store data and run data science programs. It also comes with 32GB of RAM, which is more than enough for most data science endeavors.
The ASUS ZenBook Pro Duo 15 OLED is an ideal laptop for data science tasks, both personal and professional. Despite its higher cost, it’s a wise investment due to its exceptional computing power. Similarly, the Dell XPS 15 9510, with its robust CPU and GPU, including an Intel Core i9-8950HK and NVIDIA GeForce RTX 2080, is also perfect for data analysis and machine learning. Additionally, its 4K UHD OLED touchscreen display makes working with larger data sets a breeze.
If you’re looking for a powerful laptop that can handle data science tasks, the ASUS ZenBook Pro Duo 15 OLED is a great option
ASUS ZenBook UX330UA Pros:
- Powerful hardware in a relatively thin package
- Sturdy, attractive chassis
- Cleverly-implemented secondary display
- Light & thin:
- Long battery life:
- Decent performance:
- Affordable price:
- Dual-display design compromises ergonomics
- A paucity of ports
- Middling battery life
Acer Predator Helios 300:
Acer Predator Helios 300 :
Processor: 11th Generation Intel Core i7-1165G7 processor | GPU : NVIDIA GeForce RTX 3060 | Display: 15.6″ Full HD (1920 x 1080) widescreen| RAM:16GB|ROM: 512GB SSD | Battery Back Up: 6 Hours| Weight: 5.07 pounds
The Acer Predator Helios 300 is a powerful laptop that’s perfect for data scientists. It comes with a dedicated graphics card, making it perfect for crunching data and running simulations. It also has a long battery life, making it ideal for those who need to work on the go.
The Acer Predator Helios 300 is a great data science laptop with impressive features that cater to the needs of data scientists. Its processing power is powered by a 10th Gen Intel Core i7-11th Gen CPU with six CPU cores, which enables fast and efficient performance, especially for handling massive datasets. Additionally, it comes with 16GB of RAM and a 512GB SSD for storage.
For graphics, the Acer Predator Helios 300 has an NVIDIA GeForce RTX 2060 GPU that provides exceptional computing power for data analysis tasks. It can handle building data models and other personal data science projects with ease, making it a top choice for data science students and professionals alike.
The laptop’s display is a 15.6-inch FHD IPS screen with a refresh rate of 144Hz, making it perfect for visualizing and analyzing data. Its battery life is impressive, with up to 6 hours of usage, ensuring that users can work for extended periods without worrying about running out of power.
The sound quality of the Acer Predator Helios 300 is also top-notch, providing an excellent audio experience for gaming and data science endeavors.
Regarding the operating system, the laptop comes with Windows 10 pre-installed, which is ideal for data analysts who prefer a Windows laptop for their work.
Acer Predator Helios 300 pros:
- Powerful Processor
- Three storage drives can be accommodated.
- Dedicated graphics card
- Long battery life
- Affordable price
- Cars get hot under load.
Acer Aspire 5 A515-45-R3SU: The Ultimate Budget Laptop for Data Science
Acer Aspire 5 A515-45-R3SU :
Processor: MD Ryzen 7 5700U Octa-Core Mobile Processor | GPU : Integrated | Display: 15.6″ Full HD IPS| RAM:8GB|ROM: 512GB NVMe SSD | Battery Back Up: 11 Hours| Weight: 3.88 pounds
The Acer Aspire 5 is a budget-friendly option for data scientists. It has a powerful processor and lots of storage space, making it perfect for crunching data. It also comes with a built-in DVD drive, making it perfect for those who need to work with large files.
Acer Aspire 5 A515-45-R3SU is a budget-friendly powerhouse for data science with a stunning Full HD display, ample storage, a built-in DVD drive, a backlit keyboard, a numeric keypad, and versatile ports/connectivity options, making it perfect for data entry and analysis. Its 12-hour battery life is ideal for on-the-go work.
Acer Aspire 5 A515-45-R3SU boasts impressive physical specs, powered by an Intel Core i5-1035G1 processor, 8GB RAM, and a 256GB SSD. With extended battery life, it’s the ideal choice for data science professionals.
“Unbeatable” budget laptop for data science with a high-performance processor, ample storage, vibrant display, backlit keyboard, and multiple connectivity options
So if you’re looking for the best laptop for data science, the Acer Aspire 5 A515-45-R3SU is a great option. It has a high-resolution display and a backlit keyboard, making it perfect for data analysis.
- Display: 15.6-inch Full HD IPS
- Weight: 4.19 pounds
- Dimensions: 14.31 x 9.86 x 0.71 inches
Acer Aspire 5 Pros:
- The price is competitive.
- The exterior is sleek silver.
- Thin and light in weight.
- 15-inch display with excellent clarity and brightness.
- Fingerprint recognition system
- Not as Lightweight or Portable as Some Other Options
- There is no touchscreen option.
- The touchpad is not precise.
- Keyboard with mushy keys
Razer Blade Stealth 13 Ultrabook: The Ultimate Data Science Laptop
Razer Blade Stealth 13 Ultrabook :
Processor: 11th Generation Intel Core i7-1165G7 4 Core | GPU : NVIDIA GeForce GTX 1650 Ti Max-Q | Display: 13.3″ 20hz full HD thin bezel display| RAM:16GB|ROM: 512GB SSD | Battery Back Up: 9 Hours| Weight: 6.07 pounds
The Razer Blade Stealth 13 Ultrabook is the quintessential power laptop for data scientists on the go. This cutting-edge ultrabook packs a powerful punch with a 7th Gen Intel Core i7 processor, 16GB of RAM, and a 512GB solid-state drive, ensuring maximum performance and storage.
The Razer Blade Stealth 13 Ultrabook’s most compelling feature is its display, featuring a 13.3-inch QHD+ touch display, making it perfect for data visualization. The backlit keyboard is a dream for coders and equation-solvers alike, making typing comfortable and easy.
Connectivity is not an issue for this laptop, with two USB 3.1 Type-C ports, Thunderbolt 3 port, 802.11ac Wi-Fi, and Bluetooth 4.1. These connectivity options provide versatility when working with external displays and fast data transfer speeds, essential for transferring large files.
This sleek laptop’s portability and lightweight design make it an excellent option for on-the-go data scientists, with up to nine hours of battery life.
It comes with two USB 3.1 Type-C ports, which can be used for charging, data transfer, and connecting to an external display. It also has a Thunderbolt 3 port, which provides fast data transfer speeds of up to 40 Gbps. This makes it a great laptop for transferring large files or working with multiple monitors. The Razer Blade Stealth 13 Ultrabook also has 802.11ac Wi-Fi and Bluetooth 4.1 for wireless connectivity.
So if you’re in the market for a new data science laptop, the Razer Blade Stealth 13 Ultrabook definitely be at the top of your list.
- Display: 13.3″ QHD+ (3200 x 1800)
- Graphics: Intel HD 620
- Dimensions: 12.6″ x 8.1″ x 0.5″
- Weight: 2.75 lbs
Razer Blade Stealth Pros:
- Design that is both premium and compact
- Battery life is excellent.
- Keyboard layout has been improved.
- USB Type-A and Type-C ports are available (two of each)
- High-resolution display
Razer Blade Stealth cons:
- No dedicated graphics card
- not best for gaming
- There are no dedicated video out ports.
If you’re a data scientist, then you know that you need a powerful and reliable laptop if you want to get your work done. In this blog post, we’ve discussed the 11 best laptops for data science in 2023. We’ve also given our expert recommendations on which of these laptops would be best suited for your needs. So, whether you’re looking for a new laptop for yourself or as a gift for a data scientist friend or colleague, read on!
Innovators with high-end data processing needs, data scientists Unless the data scientist works exclusively on a remote server, a powerful laptop is required.
If you only want a MacBook, nothing beats the new Apple MacBook Pro M1.
The Lenovo Ideapad 3 is a good budget computer for data science majors or aspiring professionals with simple needs.
MSI Prestige 15 or Razer Blade Stealth 13 Ultrabook are the best options if you’re just looking for storage, RAM, and processing power. These laptops are also useful if you want to use GPU acceleration for neural networking.
Finally, it all comes down to what kind of data visualization, data scripting, database management, and establishing connections to the data server you’ll be using.
FAQ About Best Laptops for Data Science
How much RAM does the best data analysis laptop need?
A computer that analyzes a data set can have up to 16GB of ROM. Performing statistical analysis requires a lot of computer power. The maximum storage capacity is 8 GB, but 16GB is adequate for large machine-learning tasks. However, it is possible to install remote server systems in confined memory.
What type of laptop do I need for data science?
You’ll need a powerful laptop for your data science application. Among these are an excellent CPU, ample RAM, and extensive storage. Gaming laptops are extremely versatile devices designed with heavy-duty functions and can perform.
Do I need a graphics card for data science?
Data science needs graphics cards. In computer science, computation requires huge computing power. A graphic card can speed up processes. Any modern graphics card is not needed.
Is i5 enough for data science?
It’s a good system with an Intel processor i5. Data science is typically centered on machine learning, which is heavily dependent only upon the CPU and RAM. The difference in CPU speed in a data processing system like the i5 will not cause much difference in processing speed.
Is Macbook good for data science?
A Macbook can help data scientists. Macbook computers generally offer good processing power, long batteries, large memory capacity, and excellent hardware reliability. Nevertheless, Microsoft’s data science applications such as PowerBI cannot be supported on all Macs.
Read more for further information:
- Top 4 Gaming Laptops under $700: An Advanced Gamer’s Guide - August 10, 2023
- How to clean Laptop Screen and Keyboard: Step-by-Step - August 5, 2023
- How Many Watts Does a Laptop Use? - July 14, 2023