3 Best Laptops for Data Science in 2023
From this article, you will know what are, in our opinion, the best laptops for data science you can buy and use in 2023.
Data science is an activity that analyzes data and gets useful insights from it to drive the right business decisions. The amount of data analyzed is usually huge and it can involve complex tasks like building data models or machine/deep learning when we do the data processing. Thus, if we want to use a laptop to do data science, it should be a laptop with high-quality specifications so we can do it smoothly (especially if we don’t use servers to process the data externally).
If you work in the data science field but you don’t have a capable laptop to support your work yet, then it is probably the right time for you to buy a new laptop. However, it can be hard to pick the right laptop for data science activities from many laptop models and specification choices out there. This is why Compute Expert has come up with its list of the best laptops for data science that you can use as your laptop-buying reference.
Want to know what laptops we recommend and why we recommend them? Let’s start digging into the list right away.
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| Image | View on Amazon | Product |
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Lenovo ThinkPad P1 Gen 5 | |
 
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Dell XPS 15 9520 | |
 
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Asus ProArt StudioBook 16 |
Table of Contents:
What are the Best Laptops for Data Science?
Now, let’s see what laptops we think you should use when it comes to a laptop to support data science activities for you. Using one of these laptops should give you the laptop performance you need to do your work in the data science area well.1. Lenovo ThinkPad P1 Gen 5
Lenovo ThinkPad P1 Gen 5 is the first laptop we think you should consider buying and using. As a ThinkPad laptop, this laptop has the specifications and reliability needed to make it an excellent laptop for data science activities.
To back up its performance, this laptop uses a 12th Gen Intel Core i7 processor (the H model) and 32GB RAM capacity. These are excellent specifications that should be able to cope with the data analysis tasks you need to do for your work. There is a full range of ports with two Thunderbolt 4 ports too should you need to connect to external devices to boost up your work process.
When you need to do deep learning or machine learning, you need a good GPU on the laptop you use. For that, this laptop has an NVIDIA GeForce RTX 3070 Ti. It is a splendid GPU with 8GB VRAM that should be more than enough for the graphics processing tasks you need in your data science work.
The keyboard of a ThinkPad laptop is excellent so you should feel comfortable typing on it whenever you need to type for your data analysis work. All in all, this Lenovo ThinkPad P1 Gen 5 seems to have all the things it needs to become an ideal laptop for your data science activities.
Key Features
- Screen Size, Resolution: 16 inches, 2560 x 1600 pixels
- Processor: 12th Gen Intel Core i7 with speed up to 4.8 GHz
- RAM Capacity: 32GB
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 12 hours of usage capacity
Pros
- Excellent performance in data science activities
- Dedicated GPU (NVIDIA GeForce RTX 3070 Ti with 8GB VRAM)
- A full range of ports with two Thunderbolt 4 ports
- Comfortable keyboard to type on
- A bright display that is easy to the eye
Cons
- Can get hot under an intense workload
2. Dell XPS 15 9520
Dell XPS 15 9520 is another excellent laptop for data science activities in our opinion. Coming from the popular Dell XPS series, this laptop can provide you with the support you need to do your data science work smoothly.
This laptop has a 12th Gen Intel Core i7 processor with 14 cores. It should be fast enough to handle all the software you need for your activities. The RAM capacity is 32GB, which is plenty to give the memory space needed by your software simultaneously.
This laptop uses an NVIDIA GeForce RTX 3050 GPU with 4GB VRAM to support any graphic-related tasks. When you need to transfer data in and out or connect to external monitors to view your data and its models clearer, two Thunderbolt 4 ports can help you to do it fast.
The design of this laptop looks good and should fit in any professional setting you work in. Overall, this Dell XPS 15 9520 can also be a nice laptop choice for you, looking at its overall capabilities.
Key Features
- Screen Size, Resolution: 15.6 inches, 1920 x 1200 pixels
- Processor: 12th Gen Intel Core i7 with speed up to 4.7 GHz
- RAM Capacity: 32GB
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 9 hours of usage capacity
Pros
- Excellent performance in data science activities
- Dedicated GPU (NVIDIA GeForce RTX 3050 with 4GB VRAM)
- Premium build
- Two Thunderbolt 4 ports
- Quality speakers
Cons
- No USB-A and HDMI ports
- Average webcam
3. Asus ProArt StudioBook 16
Asus ProArt StudioBook 16 is the last laptop we recommend on this list. It is a creator laptop from Asus that has the specifications needed to make it become a good laptop for data science activities.
This laptop is backed up by a good GPU, NVIDIA GeForce RTX 3060 with 6GB VRAM. Using it to do deep learning and machine learning should be sufficient. The storage is 1TB PCIe NVMe SSD and you can upgrade it whenever you feel you need more space for your files and software.
As for the processor, this laptop has an AMD processor, which is AMD Ryzen 7 5800H here. It is a stable processor that runs cool and can perform well for the software needed in data science work. The RAM is 32GB and you can upgrade it to 64GB RAM if what you do is a very complex data science project.
Looking for an excellent laptop that can meet the demand of your data science work? You may want to consider buying and using this Asus ProArt StudioBook 16 laptop.
Key Features
- Screen Size, Resolution: 16 inches, 2560 x 1600 pixels
- Processor: AMD Ryzen 7 5800H with speed up to 4.4 GHz
- RAM Capacity: 32GB
- Storage: 1TB PCIe NVMe SSD
- Battery Life (Estimation): up to 6 hours of usage capacity
Pros
- Excellent performance in data science activities
- Dedicated GPU (NVIDIA GeForce RTX 3060 with 6GB VRAM)
- A full range of ports
- Wonderful bright display
- Asus Dial button that can be useful
- Good and quiet cooling system
Cons
- Quite heavy
What are the Things that Should Be Considered When We Want to Buy a Laptop for Data Science Activities?
Here are the things we think you should consider when you want to buy a laptop for data science.- Processor. The processor of the laptop you buy should be excellent as you may need to do complex data analysis or build data models which is quite taxing for a laptop. We recommend a laptop with at least a late-generation of i7 or Ryzen 7 processor for this
- RAM capacity. Data science activities may need to use software that can eat up a lot of memory space and you may need to open many windows and tabs at once during your work. Thus, the laptop you buy should have a large RAM to anticipate that. We recommend a laptop with at least 16GB RAM for this, although it is probably better if you can get a 32GB RAM laptop
- GPU. If you do deep learning or machine learning locally in your data science work, then having a laptop with a dedicated GPU is recommended. We recommend a laptop with at least a dedicated GPU of NVIDIA GeForce RTX 1650 with 4GB VRAM for this
- Storage. The laptop we use for data science activities may need to store a lot of large files so we need adequate storage space in it. We recommend you buy a laptop with at least 512GB SSD storage to anticipate this
Wrap Up
When you want to buy a laptop, you may want one that can do data science activities smoothly. However, it can be hard to pick the right laptop from the many laptop choices available out there. This is why Compute Expert has listed the best laptops for data science according to its opinion that you can use as your reference.As a summary, here are three laptops we think will be great to use for data science.
We hope our list can help you buy the best laptop to help you get the best result from your data science tasks!
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