10 Best Laptops for Data Science [with Features]

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21st Apr, 2023
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10 Best Laptops for Data Science [with Features]

It would be helpful to know which laptops are most suited for your needs if you're a data scientist looking for the perfect one for your work.  

You have several options, but which is the best laptop for data science that satisfies all of your needs and demands? Reading through details and evaluations could take hours. Data science laptop requirements include a responsive OS, a quick CPU, and enough storage for balanced performance to deal with various data types and insights. If you're a data science student, you probably use your laptop to do your projects.  

To do their duties efficiently, data scientists require powerful computers with lots of memory. Finding a laptop suitable for data science is problematic because it requires hours of research, including reading reviews and poring over each model's characteristics.  

It's time for you to swap out your outdated laptop for the best laptop for data science included in this article. 

Top 10 Best Laptops for Data Science with Specifications and Features

Nowadays, data science is a challenging career option. Regardless of your level of experience with data science, you should search for data science laptops that are specifically made to support your work. Below is a list of laptops that have shown to be reliable and will satisfy your inner data scientist: 

1. HP Envy 17T

HP is a well-known brand in the world of electronics and laptops. The HP Envy 17T is quite powerful and feature-rich. This laptop is ideal for any type of mathematical study or data science endeavor. It is a strong performer because it has a 10th Gen Intel i7-1065G7.  

HP Envy 17T is a laptop designed for all your data science needs. Windows 11 Home is installed, and the display is 17.3′′ Full HD IPS. Additionally, the laptop has 1 TB of SSD storage space and 16 GB of RAM. It is capable of multitasking and high-performance processing with exceptional performance. 

FeatureSpecification
Processor10th Gen Intel i7-1065G7 processor
RAM16 GB
Storage1 TB SSD
GPUNVIDIA GeForce 4GB GDDR5
Display17.3′′ Full HD IPS
Operating SystemWindows 11
Battery Life15 hours

2. Apple MacBook Pro

Apple MacBook Pro is ideal for data processing because it has a strong CPU and storage capacity. Additionally, it is portable and lightweight, making it an excellent option for data scientists who are often on the road.  

It has the Touch Bar, a Multi-Touch-enabled strip of glass integrated into the keyboard, giving you immediate access to the tools you need.  

The Apple MacBook Pro 13.3" with Retina Display is a fantastic choice for data scientists. It features an effective Apple M1 Chip, an 8-core CPU, and an exclusive AMD 8-core GPU. With this setup, you can swiftly handle massive data sets and execute intricate algorithms.

FeatureSpecification
ProcessorApple M1 Chip,8-core CPU
RAM8 GB
Storage256 GB SSD
GPU8-Core GPU
Display13.3" Retina Display
Operating SystemIOS
Battery Life18 hours

3. ASUS VivoBook 15

With its mix of a strong CPU, GPU, RAM, storage options, and long battery life, the ASUS VivoBook 15 is the best laptop for data scientists. 

The Radeon graphics card offers outstanding support while examining data sets or presentations, while the Ryzen processor will enable you to finish all of your data science projects without any issues. It is best to buy an Asus laptop for data science. 

FeatureSpecification
ProcessorAMD Ryzen 7 5700U processor
RAM36 GB
Storage1 TB SSD
GPUAMD Radeon
Display15.6′′ Full HD
Operating SystemWindows 11
Battery Life12 hours

4. ASUS ROG Strix G17

The ASUS ROG Strix G17 is a gaming laptop for data science. It features a lot of storage space, a strong enough processor for performing any machine learning algorithms, and a respectable battery life. 

If your laptop has an AMD Ryzen 7 4800H 8-Core processor, it will undoubtedly perform faster than laptops with Intel Core i7 processors. 

FeatureSpecification
ProcessorAMD Ryzen 7 4800H 8-Core processor
RAM16 GB
Storage1 TB SSD
GPUNVIDIA GeForce RTX 3060 6GB GDDR6
Display15.6′′ Full HD
Operating SystemWindows 11
Battery Life6 hours

5. Lenovo Thinkpad P53s 

The famed Lenovo Thinkpad laptop that comes with the P53S has a great design layout and is perfect for long periods of comfortable typing. It is also one of the best budget laptop for data science. It features a more upscale appearance and a stronger design. The P53S has incredible battery life. It has 13 hours for typical online browsing and over 10 hours for a workstation are excellent. 

FeatureSpecification
Processor8th Gen Intel 4-Core i7-8565U
RAM16 GB
Storage512 GB SSD
GPUNVIDIA Quadro P520 2GB GDDR5 Integrated Graphics
Display15.6′′ Full HD
Operating SystemWindows 11
Battery Life14 hours

6. Dell G15

With a stunning look and enough capability for data science tasks, this laptop is exceptional. This is the ideal option for someone who has to work on numerous datasets simultaneously without any latency or stuttering because it is strong, stylish, and portable. 

With its amazing display and refresh rate of up to 165Hz, the Dell G15 allows you to run multiple applications simultaneously without experiencing any performance issues. It also includes 16GB of DDR4 RAM.

FeatureSpecification
ProcessorAMD 8-Core Ryzen 7 5800H
RAM16 GB
Storage512 GB SSD
GPUGeForce RTX 3060 Graphic Card with 6GB GDDR6
Display15.6′′ Full HD
Operating SystemWindows 11
Battery Life8 hours

7. Prometheus XVI

This fantastic laptop for data science will enable you to carry out your projects fast and without any hassles. Its powerful CPU and GPU will guarantee that all activities are finished quickly and effectively, and its ample RAM and storage space means you can save datasets without any problems.  

This laptop is good for data science since it has several features that make it the best choice for handling challenging tasks. 

FeatureSpecification
ProcessorAMD Ryzen 9 5900HX 8 Cores
RAM16 GB
Storage512 GB SSD
GPUNVIDIA RTX 3080 8GB GDDR6
Display16′′ QHD
Operating SystemWindows 11
Battery Life8 hours

8. Acer Swift 3

Due to its big storage space and potent graphics processing engine, the Acer Swift 3 is a fantastic option for data science. You can effortlessly save all of your data sets and models with up to 1 TB of storage.  

You can also easily and quickly run complicated models and algorithms with an NVIDIA GTX 1050 Ti GPU. The Acer Swift 3 is a terrific option if you're searching for a strong and adaptable laptop for data science. 

FeatureSpecification
ProcessorIntel Core i7-1165G7
RAM8 GB
Storage256 GB SSD
GPUIntel Iris Xe
Display14′′ Full HD
Operating SystemWindows 11
Battery Life16 hours

9. HP EliteBook

The HP EliteBook is incredibly thin and light, and it features 8th Generation Intel Core CPUs for the best SAS or ggplot2 performance. You can go pain-free from a dark boardroom to the bright sun thanks to the display's extreme brightness and anti-glare properties. 

You’ll be able to process massive amounts of data quickly with up to 32GB of DDR4 RAM. Furthermore, you won't need to consider using external storage because two 2TB SSDs available, giving you lightning-fast work speeds. 

FeatureSpecification
ProcessorIntel Core i5 and i7 processors
RAM32 GB
Storage2 TB SSD
GPUNVIDIA GeForce GTX
Display15.6′′ Full HD IPS
Operating SystemWindows 11
Battery Life16 hours

10. Dell 9310 XPS

The Dell 9310 XPS is a great laptop for data science since it offers lots of RAM and processing power, allowing even the most difficult jobs to be completed fast. Furthermore, its storage capacity allows you to save massive datasets without issue. Overall, this is a great laptop for data science that will let you work on your projects effectively and without any problems. 

FeatureSpecification
ProcessorIntel Core i5 and i7 processors
RAM32 GB
Storage2 TB SSD
GPUNVIDIA GeForce GTX
Display15.6′′ Full HD IPS
Operating SystemWindows 11
Battery Life16 hours

Laptop Requirements for Data Science

A data scientist must be capable of collecting, analyzing, and understanding enormous amounts of data. You can try the best Data Science certification online from knowledgeHut. You need a laptop that can operate effectively and has the power to handle all of your computing needs in order to manage such a vast volume of data. You can complete your projects quickly and efficiently with the correct equipment, concentrating solely on your job rather than battling to resolve PC performance concerns. You must remember a few crucial laptop configurations for data science in to have a seamless computing experience. You must carefully analyze the specifications to select the best laptop for data science. 

Must-Have Laptop Specifications for Data Science

You must select a machine with adequate power because the more data you handle, the better hardware you will need. Here are the specifications that any of the top laptops for data science should have: 

1. A Suitable CPU

Learning from a Data Science online Bootcamp and working as an expert will require you to use various tools, and the correct processor will offer you the computational capacity you need to manage massive data sets. You must select the appropriate CPU because not all processors are designed to handle data science demands. Depending on the number of data sets you manage, you require a CPU with a clock speed of 4.2 GHz, 8 cores, and 16 threads or more. The CPUs Intel Core i9-11950H and Intel Xeon W-11955M are suggested. You can choose a CPU with 18 cores for even more speed or a scalable 2x Intel Xeon processor with up to 56 cores. 

2. GPU 

For data scientists, having a good graphics card (GPU) is crucial because it will improve your ability to view data. Large data sets can be handled swiftly and easily by a laptop with a strong GPU, allowing you to gain the necessary insights more quickly. We advise purchasing a laptop with at least a GeForce GTX 1070 or Radeon RX 580 for data science.  

3. RAM capacity 

A higher RAM capacity enables multitasking. So, when choosing RAM, go for 8GB or more. It is not recommended to use 4GB because the operating system consumes more than 60 to 70 percent of it, leaving insufficient room for data science tasks. Choose 12 GB or 16 GB RAM if you have the money to do so.  

4. Display 

Data scientists spend a lot of time on screens viewing enormous volumes of data. Consequently, you require a computer or laptop with an eye-pleasing screen. Modern devices have high-resolution screens with flicker-free panels and features like a blue light filter. Decide on a screen that supports HD (720p), full-HD (1080p), or even a higher resolution like 4k by looking for this feature.  

5. Reliability 

How frequently your laptop breaks down while in use determines its reliability. The most frequent problems include unexpected shutdowns, blue screen errors, and other hardware malfunctions.  

6. Durability 

Your laptop's durability is how long you can use it. By examining the length of the laptop's guarantee, you may infer how durable it will be. Your money won't be wasted if you can utilize your laptop for at least 4 years.  

7. Long-term Battery Life 

Your machine should have a battery that can last more than 8 hours because you will be working longer hours. No one enjoys the inconvenience of having to charge their gadget several times a day. A laptop with a battery life of at least 8 hours is ideal.  

8. Operating System (OS) 

Windows 10 is suggested for data science students because it is simple to use and requires little work to configure. But you can also use an alternative operating system like Linux. You can either install it separately or use a virtual box to run it. 

Conclusion

Purchasing a laptop for Machine Learning with Python requirements? If that's the case, this is the correct place. In the modern world, data science is crucial. Computers and laptops are useful in this situation. 

Analysts now need a laptop that can perform well in terms of CPU power, speed, battery capacity, and other factors as a result of the development of data and analytics. As a result, the best laptops for data science described above provide outstanding quality and power. We hope to have helped you find your best laptop for data science. 

Profile

Preethiga Narasimman

Blog Author

Due to her interest in Search Engine Optimization, she started her career as an SEO Intern and have contributed to the healthy digital presence for multiple brands with her mastery over web and YT search algorithms. In her free time, she plays with her Persian cat, and she loves fishkeeping. She is also good at making craftworks, painting, and cooking. 

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Frequently Asked Questions (FAQs)

1Which laptop is best for AI and data science?

The HP ENVY 17t is the finest laptop for AI and data science due to its balance of affordability and power. Its Intel Core i5 and Core i7 CPUs run at speeds of up to 4.6 GHz. Its CUDA-capable NVIDIA GeForce GPUs can significantly speed up processor-intensive programs. 

2How much RAM is enough for data science?

Data science demands a fair amount of processing power. On a laptop, 8 to 16 GB of RAM is the recommended amount for data science. 

3Does data science require high-end laptops?

You require a laptop if you are learning data science. This is because, in order to gain practical experience, you must write and run your code. The laptop is preferable to a desktop when portability is also considered. 

4what is the best laptop for a data scientist?

For data engineers or aspiring professionals with basic needs, the Apple MacBook Pro is the best Macbook for data science. 

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