Whether you’re a professional data scientist or just getting started in the field, you need a laptop that can keep up with your demands. But with so many options on the market, it can be tough to know which one is right for you. That’s why we’ve put together this guide to the best laptops for data science, so you can make an informed decision and get back to what’s important: analyzing data.
Specification Requirement for Data Analysis:
Below are our picks for the best laptops for data science, so you can get started on your next big project.


A laptop for data science needs to be able to handle large amounts of data and have a powerful processor. The Dell XPS 15 9500 Touchscreen UHD+ Laptop meets these requirements and more. It has a 10th-generation Intel Core i7 processor and 32GB of DDR4 RAM. Plus, it has a large 15.
Specification:
Pros
- Powerful 10th generation Intel Core i7 processor
- 32GB of DDR4 RAM
- 1TB of SSD Storage
- 15.6″ Ultra HD+ (3840 x 2400) Touch Anti-Reflective 500-Nit Display
- NVIDIA GeForce GTX 1650 Ti 4GB GDDR6 GPU
- Backlit keyboard
Cons
- Some may find the 15.6″ display to be too small
- The 4.2lbs weight may be too heavy for some users
- The 97Whr battery could be better


The Apple MacBook Pro 16-inch is one of the best laptops for data science. It has a powerful 10-core CPU and 16-core GPU, which makes it perfect for graphics-intensive apps and games. Plus, its 16-core Neural Engine allows for up to 5x faster machine learning performance.
Specifications:
Pros
- Powerful 10th generation Intel Core i9 processor
- 32GB of DDR4 RAM
- 512GB of PCIe SSD storage
- 16″ Retina Display with True Tone technology
- AMD Radeon Pro 5500M with 4GB of GDDR6 memory
Cons
- Expensive
- No Ethernet port
- Only one USB-C port


This laptop from HP is a great choice for data science, with its powerful 11th-generation Intel Core i3-1115G4 CPU and 16GB of RAM. It also has a 512GB PCIe SSD, which will give you plenty of storage space for your data. Plus, the 17.3″ FHD IPS display is perfect for
Specifications:
Pros
- Powerful 11th generation Intel Core i3 processor
- 16GB of DDR4 RAM
- 512GB PCIe SSD
- 17.3″ FHD IPS display
- HP True Vision 720p HD camera
Cons
- No Ethernet port
- Only one USB 2.0 port
- Heavy and large form factor


Lenovo ThinkPad E15 is a 15.6-inch laptop with a 10th Gen Intel Core i7-10510U Processor, 8GB DDR4 memory, and 512GB PCIe NVMe SSD. It has Windows 10 Pro operating system. The laptop also has a backlit keyboard, fingerprint reader, and HD camera. It is a good choice for people who need a laptop with a large screen.
Specifications:
Pros
- 10th Gen Intel Core i7 processor
- 16GB of DDR4 RAM
- 512GB PCIe NVMe SSD
- 15.6″ FHD IPS display
- 720p HD camera
Cons
- No optical drive
- Only two USB 3.1 ports


The ASUS VivoBook 17 is a powerful laptop that is perfect for data science. It has a large 17.3-inch display and comes with Windows 10 Home. It also has a powerful Intel Core i7-1165G7 Processor, 16GB DDR4 RAM, and a 1TB PCIe SSD.
Specifications:
Pros
- Large 17.3-inch display
- Powerful Intel Core i7 processor
- 16GB of DDR4 RAM
- 1TB PCIe SSD
- Windows 10 Home
Cons
- No optical drive
- Only two USB 3.1 ports
Conclusion:
There are different choices of the best laptops for data science. If you have a high level of usage in data sciences We will recommend you go for Dell XPS or Macbook Pro. If you are a student or at the starter stage, we will recommend going with #3,#4, and #5. You can also check laptops for circuit makers. I hope you like our recommendations. If you have any queries or need any help we love to help. Meet in the comments!
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