Finding the best laptop for data science can be daunting. Most people confuse expensive with the best, but it’s not the case with research and big data tools like Matlab, Tensorflow, and R or coding languages like Python.
Given the plethora of options, choosing the right laptop for data science can be daunting. To ensure optimal performance, look for a responsive OS, a fast CPU, and ample storage. This is crucial for handling diverse data types and insights effectively. For data science students and professionals, laptops are integral for projects, making it essential to prioritize performance and suitability for ML tasks. At the end of this article, we’ll discuss cloud options like Kaggle or Google Colab for cost-effective resources in case you’re on a tighter budget.
Data scientists require potent computers with lots of memory to do their duties efficiently. Finding a laptop suitable for data science is problematic because it requires hours of research, including reading reviews and poring over each model’s characteristics. But don’t worry, we’ve got you covered. In this article, we’ve compiled a list of the best reliable laptops for data science that will satisfy your inner data scientist. It’s time to replace your old laptop with the finest laptop for data science listed in this post.
10 Best Laptops for Data Science with Specifications and Features
Apple MacBook Pro
This laptop is portable and lightweight, making it an excellent option for data scientists who are often on the road. It has the Touch Bar, a Multi-Touch-enabled strip of glass integrated into the keyboard, giving you immediate access to the necessary tools. It features a practical Apple M1 Chip, an 8-core CPU, and an exclusive AMD 8-core GPU. With this setup, you can swiftly handle massive data sets and execute intricate algorithms.
Mac has consistent performance over time and long-lasting build quality, but there are compatibility issues with certain libraries on newer MacBooks. So make sure to check if your data science project libraries and tools are compatible with Mac.
| Feature | Specification |
| Processor | AMD Ryzen 7 5700U processor |
| RAM | 36 GB |
| Storage | 1 TB SSD |
| GPU | AMD Radeon |
| Display | 15.6′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 12 hours |
ASUS VivoBook 15
The ASUS VivoBook 15 is the finest laptop for data scientists due to its combination of a powerful CPU, GPU, RAM, storage options, and long battery life. The Radeon graphics card provides excellent help for studying data sets or presentations, while the Ryzen processor allows you to complete all of your data science projects with ease. For data science, it is best to purchase an Asus laptop.
| Feature | Specification |
| Processor | AMD Ryzen 7 5700U processor |
| RAM | 36 GB |
| Storage | 1 TB SSD |
| GPU | AMD Radeon |
| Display | 15.6′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 12 hours |
ASUS ROG Strix G17
The ASUS ROG Strix G17 is a data science gaming laptop. It has a lot of storage space, a powerful enough processor to run any machine learning algorithms, and a decent battery life. Your laptop’s AMD Ryzen 7 4800H 8-Core processor will surely outperform laptops with Intel Core i7 processors. If your laptop has an AMD Ryzen 7 4800H 8-Core processor, it will perform faster than laptops with Intel Core i7 processors.
| Feature | Specification |
| Processor | AMD Ryzen 7 4800H 8-Core processor |
| RAM | 16 GB |
| Storage | 1 TB SSD |
| GPU | NVIDIA GeForce RTX 3060 6GB GDDR6 |
| Display | 15.6′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 6 hours |
Lenovo Thinkpad P53s
The P53S comes with the well-known Lenovo Thinkpad laptop, which has a wonderful design layout and is ideal for long hours of comfortable typing. It is also a good budget laptop for data science. It has a more premium appearance and a more robust design. The battery life of the P53S is fantastic. It features 13 hours of regular online browsing time and more than 10 hours of desktop time.
This laptop has a great design layout and is perfect for long periods of comfortable typing. It is also one of the best budget laptops for data science. It features a more upscale appearance and a more robust design. The P53S has incredible battery life, with 13 hours for typical online browsing and over 10 hours for a workstation.
| Feature | Specification |
| Processor | 8th Gen Intel 4-Core i7-8565U |
| RAM | 16 GB |
| Storage | 512 GB SSD |
| GPU | NVIDIA Quadro P520 2GB GDDR5 Integrated Graphics |
| Display | 15.6′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 14 hours |
HP EliteBook
The HP EliteBook is extremely small and light, with 8th Generation Intel Core CPUs for optimal SAS or ggplot2 performance. Because of the display’s exceptional brightness and anti-glare features, you can transition from a dark boardroom to a brilliant sun with ease. With up to 32GB of DDR4 RAM, you can process enormous amounts of data quickly. Furthermore, you won’t need to consider external storage because there are two 2TB SSDs available, providing you with lightning-fast work rates.
| Feature | Specification |
| Processor | Intel Core i5 and i7 processors |
| RAM | 32 GB |
| Storage | 2 TB SSD |
| GPU | NVIDIA GeForce GTX |
| Display | 15.6′′ Full HD IPS |
| Operating System | Windows 11 |
| Battery Life | 16 hours |
You may also want to read – Best Laptop for Data Analysts
HP Envy 17T
This laptop is ideal for any mathematical study or data science endeavour. It is a strong performer because it has a 10th Gen Intel i7-1065G7. It comes with Windows 11 Home installed, a 17.3′′ Full HD IPS display, 1 TB of SSD storage space, and 16 GB of RAM. It is capable of multitasking and high-performance processing with exceptional performance.
| Feature | Specification |
| Processor | 10th Gen Intel i7-1065G7 processor |
| RAM | 16 GB |
| Storage | 1 TB SSD |
| GPU | NVIDIA GeForce 4GB GDDR5 |
| Display | 17.3′′ Full HD IPS |
| Operating System | Windows 11 |
| Battery Life | 15 hours |
Dell G15
The Dell 9310 XPS is an excellent data science laptop because it has plenty of RAM and processing power, allowing even the most challenging tasks to be performed quickly. Furthermore, its storage capacity enables you to save large datasets without difficulty. Overall, this excellent data science laptop will allow you to work efficiently and successfully on your projects. This is ideal for those who want a laptop that can handle data science tasks without breaking the bank. It features an AMD 8-Core Ryzen 7 5800H processor, 16 GB of RAM, 512 GB of SSD storage, and a GeForce Graphic Card with 6GB GDDR6.
| Feature | Specification |
| Processor | AMD 8-Core Ryzen 7 5800H |
| RAM | 16 GB |
| Storage | 512 GB SSD |
| GPU | GeForce RTX 3060 Graphic Card with 6GB GDDR6 |
| Display | 15.6′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 8 hours |
Prometheus XVI
This amazing data science laptop will allow you to complete your assignments quickly and easily. Its strong CPU and GPU will ensure that all operations are completed swiftly and effectively, and its considerable RAM and storage capacity will allow you to preserve datasets without issue. This laptop is ideal for data science because it has various characteristics that make it the finest choice for dealing with difficult work.
| Feature | Specification |
| Processor | AMD Ryzen 9 5900HX 8 Cores |
| RAM | 16 GB |
| Storage | 512 GB SSD |
| GPU | NVIDIA RTX 3080 8GB GDDR6 |
| Display | 16′′ QHD |
| Operating System | Windows 11 |
| Battery Life | 8 hours |
Acer Swift 3
The Acer Swift 3 is an excellent choice for data scientists due to its large storage capacity and powerful graphics processing engine. With up to 1 TB of storage, you can easily preserve your data sets and models. With an NVIDIA GTX 1050 Ti GPU, you can run complex models and algorithms swiftly and easily. If you’re looking for a powerful and adaptable laptop for data research, the Acer Swift 3 is an excellent choice.
| Feature | Specification |
| Processor | Intel Core i7-1165G7 |
| RAM | 8 GB |
| Storage | 256 GB SSD |
| GPU | Intel Iris Xe |
| Display | 14′′ Full HD |
| Operating System | Windows 11 |
| Battery Life | 16 hours |
Dell 9310 XPS
The Dell 9310 XPS is an excellent data science laptop because it has plenty of RAM and processing power, allowing even the most challenging tasks to be performed quickly. Furthermore, its storage capacity enables you to save large datasets without difficulty. Overall, this excellent data science laptop will allow you to work efficiently and successfully on your projects.
| Feature | Specification |
| Processor | Intel Core i5 and i7 processors |
| RAM | 32 GB |
| Storage | 2 TB SSD |
| GPU | NVIDIA GeForce GTX |
| Display | 15.6′′ Full HD IPS |
| Operating System | Windows 11 |
| Battery Life | 16 hours |
How We’ve Selected The Best Data Science Laptop?
A data scientist must be able to collect, analyze, and comprehend massive amounts of data. To manage such a large number of data, you need a laptop that can run efficiently and has the power to handle all of your computing needs.
With the right tools, you can complete projects swiftly and efficiently, focusing entirely on your work rather than combating PC performance issues. To have a smooth computing experience, remember a few key laptop setups for data science. To choose the finest laptop for data science, you must carefully examine the specs.
We preferred a powerful configuration with at least an Intel i5 processor or higher, 8GB RAM or more, and a dedicated GPU with at least 4GB of VRAM and a larger display.
Can We Go For A Budget Data Science Laptop?
Technically No. But there is a hack if you’re seriously looking for a data science laptop on a budget. You can run less intensive tasks on your laptop and get a Cloud server for resource-intensive tasks. This approach allows you to save money on hardware costs while accessing powerful computing resources on demand. To learn more about setting a cloud infrastructure on Google Cloud, you can go for courses like these.
You can opt for a low-cost Core i3 laptop from an older generation like Lenovo Ideapad 3i for barely $330 or this Core i5 HP Laptop for $430 on Amazon.
Frequently Asked Questions (FAQs)
What is the best laptop data science and AI?
Because of its mix of cost and power, the HP ENVY 17t is the best laptop data science research and AI. Its Intel Core i5 and Core i7 CPUs can reach 4.6 GHz. Its NVIDIA GeForce GPUs with CUDA support can considerably accelerate processor-intensive programs.
What amount of minimum RAM is required for data science laptops?
Data science laptops demand a significant amount of computing power. A minimum of 8 to 16 GB of RAM is suggested for data science on a laptop.
Do high-end laptops need to be used for data science?
If you are practicing data science, you’ll certainly need a powerful data science laptop. This is because you must develop and run your code to obtain real experience.
Which laptop is best for a data scientist?
The Apple MacBook Pro is the finest Macbook for data science for data engineers or aspiring professionals with basic requirements.
What is the best processor (CPU) for data science laptops?
The AMD RyzenTM 9 6980HX is the most powerful CPU for a data science laptop (not a PC). However, very few data professionals require the kind of power that it gives. The AMD RyzenTM 9 5900HS and AMD RyzenTM 9 5900HX are the best CPUs in our suggested machines. These are recommended in some of the laptops on our list.
Is it better to use Intel or AMD as a data science laptop processor?
AMD processors are generally superior. If you want top-tier performance, we recommend an AMD Ryzen 9 laptop (such as the ASUS ROG Strix or the ASUS ROG Zephyrus). However, Intel’s i7 processors are also an excellent choice for big data analysis.
Summary
Purchasing a laptop for data science is a major expense. It would be best if you struck the proper balance of power, flair, and cost. The most crucial aspect of data science is functionality. The easiest method to approach your purchase is first to establish a price limit, and then consider if you will host data locally on your machine.
Finally, consider how you will use your laptop (often travel, leaving it at home). It will be lot easier to find the perfect one for you once you have an idea. One thing is certain: your ordinary home laptop is unlikely to handle the data-intensive operations required in data science. Therefore you can rely on this evaluation to acquire your upgrade.
