The 7 Best Computers for Data Science in 2023 (Ranked)

Do you want to become a data scientist? If so, you’re going to need the right tools for the job. In this blog post, we will discuss the 7 best computers for data science in 2023. These machines are perfect for crunching numbers and performing complex calculations. So, if you’re serious about pursuing a career in data science, then you need to consider investing in one of these machines!

Looking for a Guide on the Best Computers for Data Science?

If you’re in the market for a new computer, we’ve got just what you need. Whether you’re a student or working professional, we’ve got the best computers for data science that will fit your needs. Check out our list and find the perfect one for you.

With so many different options on the market, it can be difficult to know which computer is right for you. That’s why we’ve put together this guide – to make it easy for you to find the best computer for your needs. We’ll help you choose between a laptop and desktop, between Windows and Mac, and between different brands. So whatever your needs, we have the perfect computer for you.

Why You Need a Good Computer for Data Science

Data science is an intensive field that requires powerful machines. The more calculations and queries you need to run, the better your computer needs to be. That’s why it’s important to invest in a good computer if you want to pursue a career in data science.

By definition, data science is the study of the structure, behavior, and interactions of data. In order to effectively analyze and interpret data, you need a powerful computer that can handle large amounts of information.

Furthermore, you need a computer with certain features that are specifically designed for data science. For example, a good data science computer should have a fast processor, a lot of RAM, and ample storage space. It should also have software that is designed for data analysis and visualization.

Without these key components, it would be very difficult to carry out any sort of meaningful data analysis. Therefore, if you want to pursue a career in data science, it is essential to invest in a good computer.

What is the Best Laptop for Data Science?

When it comes to laptops, the best computer for data science will depend on your budget and needs. If you want a powerful laptop that can handle intensive calculations, then you should consider investing in one of the following models.

1. Dell XPS 15 – The Best Laptop for Data Science

The Dell XPS 15 is one of the most powerful laptops on the market. It features a 9th generation Intel Core i7 processor, 16GB of RAM, and an NVIDIA GeForce GTX 1050 graphics card. Plus, it has a 15-inch 4K touchscreen display that’s perfect for data visualization.

Key Features:

• 9th Generation Intel Core i7 Processor

• 16GB of RAM

• NVIDIA GeForce GTX 1050 Graphics Card

• 15-inch 4K Touchscreen

User Experience:

The Dell XPS 15 is an impressive machine that can handle any data science task with ease. The 4K display makes it perfect for visualizing data and the powerful processor ensures that calculations are performed quickly and efficiently. Plus, the battery life is excellent – so you can take your work anywhere. These features also make it useful for social media marketing.

Pricing:

The Dell XPS 15 starts at $1,799.99, making it one of the pricier laptops on the market. However, its performance and features make it worth every penny – especially if you’re serious about pursuing a career in data science.

Pros:

– Powerful processor

– Excellent graphics card

– 4K touchscreen display

– Long battery life

Cons:

– Expensive

– Limited storage space

2. Apple M1 MacBook Pro 16″ – The Best Mac for Data Science

If you prefer using Mac OS, then the MacBook Pro is a great choice. It has an Apple M1 processor, 8GB of RAM, and a dedicated GPU. Plus, it has a huge 16-inch retina display – perfect for data visualization.

This laptop is perfect for data scientists who need to work with large datasets or do complex analysis. It also has great portability, making it a great choice if you need to travel with your laptop. Additionally, Mac OS makes

Key Features:

– Apple M1 processor

– 8GB of RAM

– Dedicated GPU

– 16-inch retina display

User Experience:

The Apple M1 MacBook Pro 16″ offers great performance and plenty of storage space for data science work. Plus, the laptop is lightweight, making it easy to carry around. If you are looking for a Mac laptop that can handle data science projects with ease, then this is the best choice. Additionally, Mac OS makes it simple to use popular data science applications.

Pricing:

The Apple M1 MacBook Pro 16″ starts at $1,799.00 USD. While it is a bit on the pricier side, it is well worth it for those who need powerful computing capabilities in a lightweight package. Additionally, the laptop comes with Apple Care, so you can get additional support when needed.

Pros:

– Powerful processor and dedicated GPU

– Large 16-inch retina display

– Lightweight for travel

Cons:

– On the pricier side

– Limited RAM for heavy data science work

Final Thoughts:

The Apple M1 MacBook Pro 16″ is an excellent choice for data scientists who prefer Mac OS. It has a powerful processor, great portability, and plenty of storage space. Plus, the laptop comes with Apple Care, so you can get additional support if needed. While it is a bit pricey, the performance and convenience of this laptop make it well worth the cost.

3. HP ZBook Studio G9 – The Best Mobile Workstation for Data Science

The HP ZBook Studio G9 is a powerful mobile workstation that’s perfect for data science. It’s powered by a 10th-generation Intel Core i7 processor, 16GB of RAM and an NVIDIA Quadro RTX 3000 Max-Q with 6GB of dedicated VRAM.

The ZBook Studio G9 also has a 15.6-inch FHD IPS touchscreen with anti-glare for maximum productivity. The laptop also has plenty of ports, including Thunderbolt 3 and USB Type-C for connecting to peripherals, as well as Wi-Fi 6 and Bluetooth 5.0 for a strong connection to the internet.

The best part about the HP ZBook Studio G9 is its battery life, which lasts up to 8 hours and 15 minutes on a single charge. With its powerful specs and long battery life, the HP ZBook Studio G9 is an excellent choice for data science professionals who need a laptop that can keep up with their workload anywhere.

Key Features:

– 10th Gen Intel Core i7 processor

– NVIDIA Quadro RTX 3000 Max-Q with 6GB of dedicated VRAM

– 15.6″ FHD IPS touchscreen with anti-glare

– Thunderbolt 3 and USB Type-C ports

– Wi-Fi 6 & Bluetooth 5.0 connectivity

User Experience:

The HP ZBook Studio G9 is a powerful mobile workstation that provides an excellent user experience for data science professionals. The laptop’s 10th generation Intel Core i7 processor, 16GB of RAM and NVIDIA Quadro RTX 3000 Max-Q with 6GB of dedicated VRAM are more than enough to handle the workload of most data science applications.

The laptop’s 15.6-inch FHD IPS touchscreen with anti-glare is a great addition, and its ports are perfect for connecting to peripherals. The ZBook Studio G9 also has excellent battery life that can last up to 8 hours and 15 minutes on a single charge.

Pricing:

The HP ZBook Studio G9 starts at $2,099.99 and goes up to $3,549.99 for the highest-end model. This makes it one of the more expensive options on this list, but is a great choice for data science professionals who need a powerful mobile workstation without breaking the bank.

Pros:

– Powerful specs

– Long battery life

– FHD IPS touchscreen with anti-glare

Cons:

– Expensive compared to other options

Bottom Line:

The HP ZBook Studio G9 is a great option for data science professionals who need a powerful mobile workstation without breaking the bank. It has plenty of power, and its long battery life makes it perfect for working in the field. The laptop’s 15.6-inch FHD IPS touchscreen with anti-glare is also a great addition. However, the laptop is on the pricier side compared to other options on this list.

4. Dell XPS 8930 Tower – The Best Desktop for Data Science

The Dell XPS 8930 Tower is an excellent desktop for data science. It’s powered by a 10th-generation Intel Core i7 processor, 16GB of RAM and an NVIDIA RTX 2060 graphics card with 6GB of dedicated VRAM.

The XPS 8930 Tower also comes with plenty of storage space, including both a 256GB SSD and 2TB hard drive, plus the option to add more storage if needed. The added RAM and graphics card make this laptop perfect for crunching numbers in data science applications.

It’s also one of the best laptops for data science because of its build quality. The XPS 8930 Tower is built with anodized aluminum, so it’s lightweight and durable at the same time. Not to mention, this laptop has plenty of ports, including USB 3.1, HDMI 2.0 and DisplayPort 1.2, making it compatible with most external devices.

Key Features:

– 8th Gen Intel Core i7 processor

– 32GB of RAM

– NVIDIA Quadro P5000 graphics card

– 27-inch UHD display

User Experience:

The Dell XPS 8930 Tower is a reliable, powerful desktop for data science. Its processor and RAM can easily handle large datasets and its graphics card makes it great for visualizing results. Its UHD display is also perfect for viewing data in high-resolution.

Pricing:

The Dell XPS 8930 Tower starts at around $1,500 USD. This price might seem expensive but it’s well worth the investment if you’re serious about data science. Plus, its build quality and features make this desktop a great long-term investment.

Pros:

– Powerful processor and RAM

– High-end graphics card

– UHD display

Cons:

– Expensive

– Can be difficult to upgrade

Bottom Line:

The Dell XPS 8930 Tower is an excellent desktop for data science. Its powerful processor and RAM make it great for crunching numbers, while its graphics card makes it ideal for visualization. Plus, its UHD display is perfect for viewing results in high-resolution. The only downside is its price tag, but it might be worth investing in if you’re serious about data science.

If you’re looking for the best laptop for data science, then the Dell XPS 8930 Tower is an excellent choice. It has all the features and power you need to get the job done. Plus, its build quality and features make this laptop a great long-term investment.

5. Microsoft Surface Book 3 – The Best Portable Workstation for Data Science

The Microsoft Surface Book 3 is a powerful and portable laptop designed specifically for data science professionals. It’s powered by a 10th-generation Intel Core i7 processor, 32GB of RAM and an NVIDIA GeForce GTX 1650 graphics card with 4GB of dedicated VRAM.

What makes the Surface Book 3 so great for data science is its portability. The laptop weighs just 3.4 pounds, making it one of the lightest workstations on the market. Plus, its 13.5-inch touchscreen display makes it great for viewing data in high-resolution.

It also comes with plenty of storage space, including both a 512GB SSD and 1TB hard drive. Plus, it has plenty of ports, including USB 3.1 and Mini DisplayPort 1.2, making it compatible with most external devices.

Key Features:

– 10th Gen Intel Core i7 processor

– 32GB of RAM

– NVIDIA GeForce GTX 1650 graphics card

– 13.5-inch touchscreen display

User Experience:

The Surface Book 3 offers a great experience for data science work. The performance is excellent and the touchscreen display makes it convenient to interact with your data. Plus, its portability makes it easy to move around with you while doing your work.

Pricing:

The Microsoft Surface Book 3 starts at around $1,800 for the base model.

Pros:

– Powerful processor

– Great touchscreen display

– Portable design

Cons:

– Expensive

– No dedicated GPU option

Conclusion:

The Microsoft Surface Book 3 is one of the best laptops for data science professionals in 2023. It’s powerful enough to handle your data science tasks, yet still portable enough to be taken with you on the go. Plus, its touchscreen display and plenty of storage space make it great for viewing and analyzing your data. All in all, the Surface Book 3 is a great option if you’re looking for a powerful laptop that won’t break the bank.

6. Lenovo Legion 5 Pro – Best Value Laptop for Data Science

The Lenovo Legion 5 Pro is a great choice for those wanting to get a lot of bang for their buck when it comes to laptops for data science. This laptop has a powerful Intel Core i7 processor and NVIDIA GeForce RTX 2060 graphics card, making it great for crunching through large datasets.

It also features 16GB RAM and 512GB SSD storage, allowing for plenty of multitasking and efficient data management. Additionally, it has a beautiful 15.6-inch Full HD IPS display which offers great color accuracy and clarity when viewing data graphs or figures.

Key Features:

– Intel Core i7 processor

– NVIDIA GeForce RTX 2060 graphics card

– 16GB RAM

– 512GB SSD storage

– 15.6-inch Full HD IPS display

User Experience:

The Lenovo Legion 5 Pro offers great performance and value, making it a great choice for users on a budget. Additionally, it handles multitasking and data management with ease, so you won’t have any issues running complex algorithms or dealing with larger datasets. The display is also very good, offering nice colors and clarity when viewing charts or figures.

Pricing:

The Lenovo Legion 5 Pro is priced at around $1,200 and is a great value for the specs it offers. It won’t break the bank but still provides plenty of performance to handle data science tasks with ease.

Pros:

– Great performance for the price

– Powerful Intel Core i7 processor

– NVIDIA GeForce RTX 2060 graphics card

– 16GB RAM and 512GB SSD storage

– Beautiful 15.6-inch Full HD IPS display

Cons:

– Battery life could be better

Bottom Line:

The Lenovo Legion 5 Pro is an excellent choice for those looking for a great value laptop for data science. It offers powerful specs, plenty of storage and multitasking capabilities, and a great display to boot. If you’re on a budget but still want the best performance possible, this is definitely worth considering.

7. Dell Alienware m17 R5 Gaming Laptop – The Best High-End Laptop for Data Science

If you want the best of the best laptop for data science and have a larger budget, then Dell Alienware m17 R5 is your best bet. It comes with an Intel Core i7-9750H processor along with 32GB RAM and a huge 2TB SSD storage.

The machine also features Nvidia RTX 2070 graphics card that’s suitable for the most demanding data science workflows.

The laptop also features a 17-inch Full HD display with 144Hz refresh rate and anti-glare technology, so you can enjoy smooth visuals while working on your data science projects.

It’s packed with all the essential ports, including two Thunderbolt 3 Type-C ports and multiple USB 3.0 ports, making it an ideal choice for data science professionals who need a powerful and reliable laptop.

Key Features:

– Intel Core i7-9750H

– 32GB RAM

– 2TB SSD Storage

– Nvidia RTX 2070 Graphics Card

– 17-inch Full HD Display with 144Hz refresh rate and anti-glare technology

– Thunderbolt 3 Type-C & multiple USB 3.0 ports

User Experience:

The Dell Alienware m17 R5 is a powerhouse of a laptop and performs well in data science workflows, even at peak workloads. The display quality is great and the 144Hz refresh rate ensures smooth visuals while running multiple applications. It also has good battery life for its size, allowing you to get more done on the go.

Pricing:

The Dell Alienware m17 R5 is one of the most expensive laptops on this list, with a price tag of around $2,400. This might be a bit too steep for some users, but for those looking for the best laptop for data science in 2023, it’s worth every penny.

Pros:

– Powerful Intel Core i7-9750H processor

– Great display with 144Hz refresh rate

– Good battery life for its size

– Thunderbolt 3 Type-C and multiple USB 3.0 ports

Cons:

– High price tag may be too expensive for some users

No matter what your needs are, one of these 7 computers is sure to be perfect for your data science needs. From laptops to desktops and from Windows to Mac, you’ll find the perfect computer here. So take your time and choose carefully – the right computer can make a world of difference in your data science projects!

What to Look For When Choosing a Laptop

When choosing the best laptop for data science, you should look for the following features:

– A powerful processor such as an Intel Core i7 or i9.

– At least 16GB of RAM.

– A dedicated graphics card such as NVIDIA GeForce or AMD Radeon.

– An anti-glare display with 4K resolution or higher.

– Enough storage space for your data sets.

As a data scientist, you will need a laptop that can handle a lot of data. A laptop for data science should have a processor that is fast enough to handle large datasets and a graphics card that can render complex visualizations.

In addition, it is important to have enough storage space to store all of your data, as well as the software you need to run your analyses. While you can get by with a less powerful laptop for other tasks, data science requires a computer that can handle a lot of data quickly and efficiently.

By looking for these features, you can be sure that the laptop you choose will have enough power to handle even the most complex data science calculations. With a powerful machine like this, you can work efficiently and achieve better results in a shorter amount of time.

Data Science Laptops FAQ

Is a laptop with an Intel Core i7 processor enough for data science?

Yes, a laptop with an Intel Core i7 processor should be more than capable of running most data science applications. However, if you need to run more computationally intensive tasks like machine learning or deep learning algorithms, then you may want to consider a laptop with an Intel Core i9 processor.

What type of graphics card should I look for in my data science laptop?

You should look for a dedicated graphics card such as an NVIDIA GeForce or AMD Radeon. These cards are optimized for graphics-intensive tasks like data visualization, and they can give you a big performance boost when working with large data sets.

Are Macs good for data science?

Yes, Macs can be great for data science, as long as you choose the right model. Look for a laptop with an 8th generation Intel Core i7 processor and at least 16GB of RAM. You should also look for a laptop with a dedicated graphics card such as an NVIDIA GeForce or AMD Radeon. With these features, you can be sure that your Mac will have enough power to handle data science projects.

What size laptop screen is best for data science?

A larger display will make it easier to work with data sets and create visualizations. We recommend a laptop with at least a 15-inch screen and preferably one with 4K resolution or higher. This will give you plenty of space to work with spreadsheets and graphs, as well as make it easier to view data visualizations.

How much storage do I need for data science work?

It depends on the size of your data sets and how much you use them. We recommend a laptop with at least 256GB of storage, but if you plan to work with large datasets then you should look for one with 1TB or more. This will ensure that your laptop has enough space to store all of your data sets.

Wrapping Up and My Experience

I personally use the 2019 Macbook Pro 16-inch laptop with the Intel I9 processor. I found this the best for my needs since I can still switch between Windows and Mac. Once I save up more money, I will then think about purchasing the new M1 Macbook Pro 16″.

No matter which one you choose, make sure that it is well-equipped for data science and provides enough power to meet your needs. I hope this blog post was helpful – now go out there and find the perfect computer for you! Good luck!

What laptop do you use? Let us know in the comments below!