3 Best 2-in-1 Laptops for Data Science in 2024
From this article, you will know what are, in our opinion, the best 2-in-1 laptops for data science you can buy and use in 2024.
Data science can be a taxing activity for a laptop to handle locally as it includes heavy tasks like big data analysis and data modeling. Usually, a 2-in-1 laptop that is typically sleek and lightweight doesn’t have enough specifications needed to handle it optimally.
However, several 2-in-1 laptops seem to have the capabilities to support data science activities too. If you do data science and you want to buy a 2-in-1 laptop to support it but don’t know which laptop you should buy, you have come to the right article. Here, we will discuss the 2-in-1 laptops we think are the best ones to support data science activities.
Want to know what are those 2-in-1 laptops and why they seem to have data science capabilities? Read this article until its last part.
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| Image | View on Amazon | Product |
|---|---|---|
| Microsoft Surface Laptop Studio 2 | ||
| MSI Summit E16 Flip | ||
| Asus ROG Flow X16 |
Table of Contents:
What are the Best 2-in-1 Laptops for Data Science?
Now, let’s see the laptops that make it into our list as the best 2-in-1 laptops for data science. Using one of these laptops should make you able to do your data science work without much problem while also having the flexibility of a 2-in-1 laptop.1. Microsoft Surface Laptop Studio 2
Microsoft Surface Laptop Studio 2 is the first 2-in-1 laptop we think has the specifications needed for data science work. You can slide the screen to cover the keyboard if you want to turn it into a tablet for more comfortable usage of the device.Performance-wise, this laptop should have what it takes to run the software you need to crunch data and get insights from it. That is because it has a 13th Gen Intel Core i7 processor and 32GB RAM. The relatively large RAM capacity should be especially useful when you need this laptop to multitask as you do your work in multiple software.
When you need a dedicated GPU to do deep learning or machine learning, you don’t have to worry. This laptop uses an NVIDIA GeForce RTX 4050 GPU as its dedicated GPU. This GPU has 6GB VRAM and 80W TGP, which should be adequate to support your data science work.
The 2-in-1 form of this laptop is unique as it is not foldable or detachable but it should still be comfortable to use as you slide its screen to the position most suitable for you. All in all, looking at its overall model and specifications, this Microsoft Surface Laptop Studio 2 can be a good laptop choice for your data science activities.
Key Features
- Screen Size, Resolution: 14.4 inches, 2400 x 1600 pixels
- Processor: 13th Gen Intel Core i7 with 14 cores and speed in the range of 2.4-5 GHz
- RAM Capacity: 32GB
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 18 hours of usage capacity
Pros
- Excellent specifications to support data science activities
- Dedicated GPU (NVIDIA GeForce RTX 4050 with 6GB VRAM and 80W TGP)
- Premium build
- A 2-in-1 laptop you can use as a tablet too
- Two Thunderbolt 4 ports
- Good display and sound outputs
- Great touchpad quality
- Comfortable keyboard to type on
Cons
- No HDMI ports
- Can get hot under an intense workload
2. MSI Summit E16 Flip
MSI Summit E16 Flip is another laptop we think is excellent to use for data science. It is a powerful 2-in-1 laptop that has the performance level you need to analyze data through the methods you want to use.This laptop has a 13th Gen Intel Core i7 processor which is fast with a speed of up to 5 GHz. It should be able to run the software you want for your work smoothly. The RAM capacity is 32GB to give you the memory space you need for your data science activities.
The design of this laptop is foldable as a 2-in-1 laptop and it is quite sleek too. Putting it in your bag to bring it around should pose not much problem. It also has a full range of ports with two Thunderbolt 4 ports so you can connect it to the external devices you want easily.
As for the GPU, this laptop has an NVIDIA GeForce RTX 4060 GPU with 8GB VRAM that should be able to process graphic-related tasks well. Overall, this MSI Summit E16 Flip is a capable 2-in-1 laptop that you should be able to use for smooth data science activities too.
Key Features
- Screen Size, Resolution: 16 inches, 2560 x 1600 pixels
- Processor: 13th Gen Intel Core i7 with 12 cores and speed in the range of 2.2-5 GHz
- RAM Capacity: 32GB
- Storage: 2TB PCIe NVMe SSD
- Battery Life (Estimation): up to 10 hours of usage capacity
Pros
- Excellent specifications to support data science activities
- Dedicated GPU (NVIDIA GeForce RTX 4060 with 8GB VRAM and 55W TGP)
- Solid build
- A 2-in-1 laptop you can use as a tablet too
- A full range of ports with two Thunderbolt 4 ports
- Good display
Cons
- Touchpad quality can be improved
3. Asus ROG Flow X16
Asus ROG Flow X16 is a nice 2-in-1 gaming laptop that should be capable of supporting your data science activities as well. It has excellent specifications and fast performance to run the software you need.This laptop uses a 13th Gen Intel Core i9 processor to run its operations. It is a powerful processor that should handle its tasks well in the software you need to use related to your data science activities. It also has a 32GB RAM capacity, which should be plenty to manage the software and files you need to open simultaneously for your work.
For tasks like deep learning, this laptop has an NVIDIA GeForce RTX 4060 GPU with 8GB VRAM to support it. It should be enough to handle what you need to work on your data optimally. When you need to go online, its Wi-Fi 6E technology can help you to get optimum internet connection speed from your Wi-Fi network.
Looking for a powerful 2-in-1 laptop to support your data science activities? You can consider buying and using this Asus ROG Flow X16 laptop too.
Key Features
- Screen Size, Resolution: 16 inches, 2560 x 1600 pixels
- Processor: 13th Gen Intel Core i9 with 14 cores and speed in the range of 2.6-5.4 GHz
- RAM Capacity: 32GB
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 7 hours of usage capacity
Pros
- Excellent specifications to support data science activities
- Dedicated GPU (NVIDIA GeForce RTX 4060 with 8GB VRAM and 105W TGP)
- A 2-in-1 laptop you can use as a tablet too
- A full range of ports with one Thunderbolt 4 port
- Great speakers
- Ergonomic design
Cons
- Average webcam quality
What are the Things that Should Be Considered When We Want to Buy a 2-in-1 Laptop for Data Science Activities?
Here are the things we think you should consider if you want to buy a 2-in-1 laptop for data science work.- Processor. The 2-in-1 laptop you buy for data science should have an excellent processor as you will need it to do complex tasks for a laptop to do such as big data analysis and data modeling. We recommend a laptop with at least a late-generation i7 or Ryzen 7 for this
- RAM capacity. You should also have a large RAM capacity in your laptop so it has enough memory space to run the software you need for your work simultaneously. We recommend a laptop with at least 16GB RAM for this, although it is better if you can buy a 32GB RAM one
- GPU. As deep learning and machine learning usually need a dedicated GPU on your laptop to be done optimally, the laptop you buy for data science activities should have one. We recommend a laptop with a dedicated GPU in the form of, at least, an NVIDIA GeForce GTX 1650 GPU with 4GB VRAM for this
- Storage. You should have enough storage space in your laptop to save the files you need for your work too. We recommend a laptop with at least 512GB SSD storage for this
Wrap Up
When you want to buy a 2-in-1 laptop, you may want one that can support data science activities well. However, it can be hard to pick the right laptop for that from many 2-in-1 laptop choices out there. This is why Compute Expert has come up with its list of the best 2-in-1 laptops for data science to help you.To summarize, here are three 2-in-1 laptops we think are excellent for data science work.
We hope our list can help you buy the best 2-in-1 laptop for you to use!
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