With the increasing demand for data science professionals, there’s also a higher demand for quality laptops to ensure top performance for the job. When searching for the best laptops for data science, a few key features are processor type, RAM, storage capacity, and portability. Compiled with promising research, here is a list of the top 10 best data science laptops available today. They range from budget-friendly to those with more luxurious specs and features that might fit an experienced data scientist’s needs.
Why Do You Need The Best Laptops For Data Science?
As data science has become an increasingly in-demand field, the need for a powerful laptop is essential. Not only do these laptops need to be able to handle data-driven tasks, but they should also be equipped with the necessary software and hardware so that professionals can keep up with their projects. Data scientists also need a reliable, portable laptop with enough storage space to store large amounts of data. The right laptop should also have features such as extended battery life, a comfortable keyboard and mouse, and an easy-to-use operating system.
Below is a list of some best laptops for data science
Acer Predator Helios 300
One of the key features of the Acer Predator Helios 300 that makes it a great option for data science is its powerful Intel Core i7 or i9 processor. These processors provide the performance and processing power needed for machine learning and data visualization tasks.
Additionally, the laptop can be configured with a dedicated NVIDIA GeForce RTX 3060 or 3070 graphics card, which can significantly improve the performance of data visualization and machine learning tasks. The Predator Helios 300 also comes with ample storage, with up to 1TB of NVMe SSD storage options, which is more than enough for most data science projects. The laptop also features a high-resolution 15.6-inch 1080p or 4K display, perfect for data visualization and other tasks.
Dell XPS 15
Dell XPS 15 has a powerful processor, ample RAM and storage, and a wide selection of ports to connect with other devices. Its long-lasting battery life ensures that it can handle data-intensive tasks for extended periods. Furthermore, its lightweight build makes it easy to carry from place to place, making it an ideal laptop for data science professionals who travel frequently.
MacBook Pro 16-inch
The MacBook Pro 16-inch is arguably one of the best laptops for data science due to its powerful hardware and macOS operating system. With up to 8TB of storage, an Intel Core i9 processor, and a Radeon Pro 5300M graphics card, this laptop has the power and performance needed for data science projects.
The 16-inch retina display is also great for simultaneously viewing large amounts of data. Additionally, this laptop has a long battery life which is vital for data scientists.
HP Spectre x360
HP Spectre x360 is a great choice for data science professionals as it has a fast 8th Gen Intel Core processor, plenty of storage, and a powerful NVIDIA GeForce GTX 1050 graphics card. It also has a long battery life and is light enough to travel with. It features an 8th Gen Intel Core processor, plenty of storage, and an integrated Intel UHD 620 graphics card.
Lenovo ThinkPad P1
It is another great option for data science professionals who want a powerful laptop that is also lightweight and portable. It features an Intel Core i7 processor and 16GB of RAM, making it great for handling data-intensive tasks.
Additionally, the Spectre x360 has up to 1TB of storage, so plenty of data can be stored on the laptop. Its 14-inch display is great for viewing large amounts of data, and the long battery life ensures that data scientists won’t need to worry about their laptops running out of juice in the middle of a task.
Dell Precision 5540
The Dell Precision 5540 is a high-performance laptop well-suited for data science work. It is part of Dell’s Precision line of laptops, designed specifically for engineering, architecture, and data science professionals. It has powerful Intel Xeon or Core processors, which provide the high performance and processing power needed for data-intensive tasks such as machine learning and data visualization.
It also has NVIDIA Quadro graphics, the Precision 5540 can be configured with a dedicated NVIDIA Quadro graphics card, which can significantly improve the performance of tasks such as data visualization and machine learning.
Razer Blade 15
The Razer Blade 15 is another option among the best laptops for data science. It offers a powerful combination of portability and performance, with a slim design that packs a lot of power in a small package.
The laptop has an Intel Core i7-8750H processor, 16GB of DDR4 RAM, and an NVIDIA GeForce GTX 1060 6GB GPU for smooth graphic performance. Its 15.6-inch full HD display provides a great viewing experience for analysis or presentations.
Microsoft Surface Book 3
Microsoft Surface Book 3 offers the perfect combination of lightweight portability and the power of a workstation-class laptop. It is the perfect choice for data scientists who need to move between locations, collaborate with colleagues, and crunch data while still having access to the same performance they need in their offices.
The laptop has a 3D camera and facial recognition technology, making it easier to analyze large datasets quickly and accurately. The Surface Book 3 also features a powerful processor, plenty of RAM and storage, and state-of-the-art graphics capabilities.
Asus ZenBook Pro Duo
The Asus ZenBook Pro Duo is one of the best laptops for data science. It offers an ultra-slim design and powerful hardware, making it an ideal choice for those looking to get the most out of their data science projects.
With its cutting-edge Intel processors and NVIDIA graphics card, the ZenBook Pro Duo has plenty of power for data manipulation, analysis, and visualization.
LG Gram 17
The LG Gram 17 is a lightweight, portable laptop well-suited for data science work. It is known for its long battery life, lightweight design, and powerful hardware.
The LG Gram 17 is powered by an 8th-generation Intel Core processor, which provides the performance and power needed for data-intensive tasks such as machine learning and data visualization.
FAQs
Do I need a powerful laptop for data science?
Large datasets are a part of data science. As a result, a strong laptop is required to operate your tasks efficiently.
How much RAM do you need for data analysis?
16GB of RAM is advised for data science apps and workflows.
Conclusion
Investing in the best laptops for data science is a smart choice. For data science, functionality is the most important factor. The ideal approach to your purchase is to establish your pricing cap before determining whether or not to host data locally on your machine.
