Are you a data scientist,? If yes, then you will understand that the field is one of the most demanding when it comes to the hardware-intensive requirements for computing. Now, there are many different types of data sciences. As such, each specialization comes with unique subsets of computing requirements. What this means is that the laptop or desktop you buy must meet the specific demands of your specialization.
To work with different data types and insights, you need a laptop that has a responsive OS, a fast processor, and enough storage for balanced performance. As a data science student, you’ll agree that you most likely do your tasks on your laptop. As such, you need a powerful machine with lots of memory if you are to do your job effectively. However, to find a laptop that fits this description, you’ll have to spend hours searching through different options, reading reviews, and sifting through the specifications in each.
These days, data science is a complex task. Thus whether you are an experienced data scientist or not, you should look for specifically designed laptop. It has to be one that would facilitate your data science work. To this end, we have listed a slew of tried and tested laptops for data scientists to help you make a choice.
Best Laptops For Data Science In 2021
HP Envy 17t Laptop
The HP Envy 17t laptop is designed with a mix of price and power. This is one of the best laptops designed for data analytics. Running on Intel® Core™ i5 and Core i7 processors, this device delivers up to 4.6 GHz of speed. This device CUDA-capable NVIDIA GeForce® GPUs can vastly speed up processor-heavy applications. Additionally, it has 8GB to 16GB of DDR4 RAM and an eye-friendly Full High Definition (FHD) 17.3-inch touch display. It also has lots of screen real estate for easy storytelling. This device also piles on up to a 512GB Intel SSD to store massive datasets. On the whole, this machine serves up power, convenience, and prestige for a lot less money than you would imagine.
- Windows 10.64
- Intel Core i7 Processor
- Up to 16GB of SDRAM
- NVIDIA GeForce MX250 graphics
- Up to 512GB PCle® NVMe™ SSD
- Sleek Design
- Conformable keyboard
- 4K display
- Good thermal management
- Not-so-good battery life
- A bit expensive
The Dell G5 is designed with a 10th Gen Intel Core i7 CPU, with 6 cores and powered by NVIDIA GeForce GTX 1650 Ti graphics card. Are you a professional data scientist working on modeling or deep learning? Then this laptop will suit your needs effectively. This device is a Windows-based laptop that comes with different storage capacities. However, it would be best to go with 16GB of memory and 512GB of SSD.
G5 is designed with 51 watt-hours 3 cell battery as well as a range of ports including an SD card reader. It also has 1 USB Type C port. Even though the display has nothing to do with data science, it is still good to have a good one. G5 is powered by 15.6 inches, Full HD, LED display with an anti-glare coating.
- CPU – Intel Core i7-10750H
- GPU – NVIDIA GeForce GTX 1650 Ti
- RAM – 16GB
- Storage – 512GB SSD
- A well-balanced machine
- Solid performance
- Beautiful Design
- Noisy Cooling
- Quite weighty
HP Pavilion Laptop
Are you a data analyst and on a tight budget? Then you should look into the HP Pavilion laptops. This device can offer you surprising data-driving specs at affordable prices. This 11-inch HP Pavilion ×360 will set you up with a quad-core Intel Pentium Silver processor and 4GB of SDRAM for a solid entry-level experience. HP Pavilion laptop is a 15-inch variant with a comfortable 8th Generation Intel Core processor. It also has a base of 8GB of memory. Now that’s quite big enough to run powerful data analytics apps.
- Windows 10.64
- Intel Celeron and Core i5 and i7 processors
- Up to 16GB of Intel DDR4 RAM
- NVIDIA GeForce graphics card available
- Up to 512GB PCle NVMe M.2 SSD
ASUS F512JA-AS34 VivoBook
ASUS F512JA-AS34 VivoBook is a lightweight, stylish laptop that is packed with lots of amazing features which make it important for high-end tasks. This device offers a perfect, congestion-free experience, and the bow on top is its sleek, modern design. The icing on the cake with this device is that everything is configurable and upgradable, including the screen. This laptop is crafted with a powerful Intel Core i7-7700HQ (7th generation), a quad-core CPU with a 2.8GHz clock speed. This will give you an impressive boot speed. This well-thought-out device also features a non-flex keyboard for a great typing feel. Additionally, there’s bright backlighting with three brightness toggles to enable you to set the brightness level based on your needs.
Another plus with this device is the display screen’s high PPI. This makes it awesome for data science and data analysis and also for gaming. The brightness of this device is quite commendable and does not come with any reflective issues regardless of whether you are using the laptop indoors or outdoors. Thanks to its quiet dual-fan thermal design, heating is not a problem with this device.
- 15” Full HD display
- CPU – Intel i3-1005G1
- GPU – Intel UHD Graphics
- RAM – 8GB, 128GB SSD
- Windows 10 Home OS
The MacBook Air environment is quite conducive for data science. Reasons for this is the UNIX-like environment as well as the latest M1 chip. M1 is a very efficient chip owing to its 8 cores. It works a lot better than the latest AMD or Intel processors. M1 is specially crafted to boost machine learning. The current models of MacBook Air are designed with 18GB/16GB of RAM configuration with 256GB/126GB storage capacities. 8GB memory is quite enough, however it would be best to go with 16GB. Storage depends on your personal preference. This having 256GB of SSD, is adequate if you are buying a separate hard drive.
However, having no CUDA core support can be a huge turn-off for some people. However, this does not mean MacBook Air is not good for you. This device can still handle a big percentage of data science projects. However, if you want parallel processing support, then maybe you should go for the 16 inches MacBook pro.
- CPU – Apple M1
- GPU – Integrated M1 8 Core GPU
- RAM – 8GB 256GB SSD
- UNIX-like environment
- M1 Chip
- Excellent battery life
- Does not support CUDA Core applications.
Acer Swift 3
The Acer Swift 3 is another budget-friendly device, designed with outstanding specifications. Swift 3 is installed with AMD Ryzen 7 4700U, 8 core processing unit integrated with Radeon graphics. This device is quite a delight with data scientists who are on a budget.
Swift 3 is a thin, lightweight MacBook-inspired design that comes with 8GB of RAM and an SSD of 512GB. With a Full HD display, HD webcam, and backlit keyboard compartment this device is super cool.
- CPU – Ryzen 4700U
- GPU – Integrated Radeon Graphics
- RAM – 8GB
- Storage – 512GB SSD
- Sleek design
- Highly portable
- Good battery life
- Memory cannot be upgraded
- Average Display
Lenovo ThinkPad E15
The Lenovo ThinkPad E15 is another good choice for data scientists. This device comes in different variants. The recommended specification is a 10th Gen Intel Core i5 with integrated with Intel’s UHD 620 graphics. With ThinkPad, E15 comes 16GB RAM, which is exceptional for data science-related tasks. However, this device does not come with extra storage. So if you need storage, you will have to buy it separately. The 15.6 inches display is quite decent with an anti-glare coating. Also, you can connect an external monitor of 4K resolution through HDMI or USB Type C.
- CPU – Intel Core i5-10210U
- GPU – Integrated Intel UHD 620
- RAM – 8GB
- Storage – 512GB SSD
- Upgradable storage
- Robust body
- Get hot under load
- Short battery life
Data Science Laptop Requirements
In finding the right laptop or computer for your needs, here are the basic minimum hardware requirements for data science laptops. With this, you can make an informed decision as to which laptop best suits your needs and requirements. Here they are:
Want the best value for your money? Then you should go for a Core i7 CPU which works for most types of requirements related to data science. For example, a Core i7 or even a core i9 CPU, mostly one with multi-threaded performance would be quite ideal for simulation, model training, compiling, dataset analysis as well as other similar tasks.
Apart from the CPU, it is also important that you have good graphics performance. This is important for intensive data science tasks like model simulation, model training, and deep learning. Thus, it is best to invest in a dedicated graphics card with a minimum of 2GB VRAM.
In case you are working on data science related tasks, there’s a possibility that you will be multitasking with various tools, Like having lots of tabs open for web research, and working on a couple of coding languages. In which case, you would need a high bandwidth RAM of at least 16GB.
When it comes to storage, multiple large-sized datasets require lots of storage space. This is especially true if you plan on keeping these files on your laptop. This implies, that you need to invest in a high storage capacity of at least 512 solid-state drive (SSD) storage. However, you can also opt for 1 terabyte of HDD storage to store all your programs, tools, documents, and important files in a consolidated fashion.
Another thing you will also have to consider is connectivity options. This is because a good combination of ports will enable you to customize your setup exactly they way you want. At the very least, you have to ensure that your laptop has an HDMI port, USB Type-A port, Thunderbolt 3 port, and mini display port.