Our Top Picks
With so many options on the market, it cannot be easy to know which laptop is the best for your needs. That’s why we’ve put together a list of the best laptops for data science and analysis in 2022.
You’ll want to check out our list if you’re looking for a laptop that can handle data science applications and software. We cover several options below, from affordable Macbook to powerful Windows machines.
Keep reading to learn more and get recommendations on the best laptop for analysis and data science!
What is Data Science?
Data science is a field of computer science that deals with collecting, analyzing, and creating data. It is an interdisciplinary field encompassing statistics, machine learning, computational linguistics, and other information-processing approaches.
The goal of data science is to extract knowledge and insights from data, usually with the help of advanced computing techniques. Data science is closely related to fields such as statistics, artificial intelligence, and machine learning tasks, and it is often used interchangeably with these terms.
What to look for before buying laptops for data science
CPU
RAM
GPU
Storage
Keyboard
Display
Ports
Touchpad
Connectivity
Weight
Battery Life
Best Laptop for Data Science & Analysis
Key Features
- An impressive Liquid Retina XDR display
- An incredible performance that surpasses the competition
- Great speakers
- Outstanding battery life
- A 1080p webcam improves your appearance
Description
This Apple MacBook Pro (16-inch, 2021) is the best computer for data science and analysis. It is equipped with Apple's latest silicon, setting a new standard for MacBook performance. Its Liquid Retina XDR display makes just about anything you do on it look good. And the 1080p webcam on top makes video calling with friends and colleagues a pleasure.
MacBook Pro 2021 (16-inch) has a comfortable keyboard, high-quality speakers, and a battery life of more than 15 hours, and it is already one of the best MacBooks on the market. It makes it suitable for creative and data science professionals who need a powerful machine that can handle even the most demanding data analysis tasks. The M1 Pro and M1 Max processors offer up to 10 cores each, making it the most powerful MacBook Pro ever.
Despite its lack of Touch Bars, MagSafe charging has been reintroduced. The port array has been augmented with some ports content creators will like. This laptop is the perfect choice for video editing, as it no longer relies on Touch Bars. It also comes with macOS Big Sur, the latest iteration of Apple's world-class operating system, which offers powerful new features and an intuitive interface that makes it easy to get work done.
Key Specifications
- Processor: The Apple M1 Pro chip has a powerful 10-core processor
- Operating system: OS X Big Sur
- Weight: 4.7 lbs (2.1 kg)
- Screen size: 16.2 inches (also available in 14.2 inches)
- Memory: 16GB, 32GB, or 64GB (tested 32GB)
- Storage: 512GB, 1TB, 2TB, 4TB, or 8TB versions
- Graphics: Integrated 16-core GPU
- Battery life: 14 hours of wireless connectivity
- Display: 3,456 x 2234 XDR display
- Ports: 3 Thunderbolt 4 (USB-C), 3 MagSafe 3, 2 HDMI 2.0 ports, 1 SD card slot, Micro USB port
- Powerful performance
- Long battery life
- Good display
- Solid build quality
- Expensive
- Limited upgradability
- No Thunderbolt 3 port
- Poor webcam placement
- No Touch Bar
Key Features
- Easily portable, compact, and light
- Long battery life
- An option for IPS refresh rates of 300Hz
- Unparalleled seamlessness
- Future-proof specs
Description
ASUS ROG Strix G17 is a VR-ready gaming laptop, but it's also the best for multiple data science tasks and research. It has a 17.3-inch screen with a Full HD resolution that supports HDR video playback. The built-in NVIDIA GeForce RTX 3050 graphics card makes it one of the top choices for students looking to do some light gaming. In addition, the laptop comes with a backlit keyboard, which makes it easier to work in dim lighting conditions.
The ASUS ROG Strix G17 has an Intel Core i7 processor with 16GB of RAM and 1TB hard drive storage space, which comes in handy when dealing with large data sets and heavy data processing requirements. It also runs on Windows 10 Home operating system, which is ideal for students who want to use their laptops for academic and entertainment purposes.
It is worth considering an affordable laptop that can handle intense workloads.
Key Specifications
- Processor: Intel Core i7 processor
- Operating system (OS): Windows 11 Home
- Weight: 5.95 lbs
- Screen size: 17.3 Inches
- Memory: 16 GB
- Storage: 1TB PCIe SSD
- Graphics: NVIDIA GeForce RTX 3060 6GB GDDR6
- Battery life: 6 hours
- Display: 1920X1080 pixels
- Ports: USB 2.0, USB 3.0, HDMI
Key Features
- High SSD storage
- Ryzen CPUs are capable of handling demanding workloads
- MUX switch
- RTX 3070 GPU options are available with this GPU
- CPU and GPU do not exhibit any noticeable throttling
- A removable memory and storage device
Description
It's no secret that gaming laptops are hot data science and data analytics commodities. They're powerful and fast. With its AMD Ryzen 7 5800H octa-core processor and 16GB of RAM, this laptop can handle any gaming task you throw at it. The GeForce RTX 3060 6GB graphics card provides the power you need to play the latest games in beautiful 1080p HD resolution.
The 17.3" FHD IPS display has 300 nits brightness and offers stunning image quality and color performance. It runs on Windows 11 Pro operating system and has USB Type-C ports and Thunderbolt 3 ports for connecting high-end peripherals like mice, keyboards, monitors, and more.
This laptop offers superior storage options, incredible sound quality, and an HD 720p camera with E-Shutter. Plus, it comes in a fantastic Phantom Blue color. It has a good battery life and is rated at 8 hours on a single charge, which should be enough for most users who want to use their laptops for work purposes during the day without having to plug it in at night or early morning hours.
Key Specifications
- Processor: AMD Ryzen 7 5800H octa-core processor
- Operating system: Windows 11 Home
- Weight: 6.57 lbs
- Screen size: 17.3 inches
- Memory: 8 GB DDR4 3200MHz
- Storage: 256 GB PCIe SSD
- Graphics: Dedicated NVIDIA GeForce RTX 3060 6GB
- Battery life: 8 hours
- Display: FHD (1920 x 1080) IPS pixels
Key Features
- A powerful, high-speed Core i7 "Alder Lake" processor
- Long-lasting battery
- Compact design
- Fast processing speed
- Gamers will enjoy a consistent 60fps+ experience with the RTX 3060
- Three USB-C ports provide wide connectivity
Description
Alienware x14 Gaming Laptop is a great laptop if you want to play video games while still handling data science workloads. Since Alienware laptops are known for their gaming features, this model has excellent features to make your gaming experience immersive.
It has features that allow it to stand out from the competition. With an Intel Core i7-12700H processor, 32GB of RAM, and 1TB of storage, this laptop has the power to handle even the most demanding tasks. The RTX 3060 graphics card provides exceptional visuals, while the 144Hz refresh rate ensures smooth and responsive gameplay.
There's no need to worry; this won't affect your data science tasks. Using machine learning algorithms, you can also use Alienware x14 to analyze and learn data. In any case, data scientists also enjoy using gaming laptops for data analysis! If you plan on handling your personal data science projects, you'll have no problem.
Key Specifications
- Processor: 4 GHz core i7
- Operating system: Windows 11 Home
- Weight: 4.06 pounds
- Screen size: 14 Inches
- Memory: 16 GB up to 32GB
- Storage: 1 TB SSD
- Graphics: NVIDIA® GeForce RTX™ 3060 GB GDDR6
- Battery life: 6 hours
- Display: 1920x1080 Pixels
Key Features
- Lightweight and slim
- Retina display with more excellent brightness and larger size
- Battery lasts for up to 18 hours
- 1080p webcam
- Reliable macOS
Description
The M2 MacBook Air (2022) is an excellent laptop for Data Science, Analytics, and Research. It has a strong performance, but it still needs to be more powerful than the latest models of Apple. The M2 MacBook Air (2022) is available in both Intel Core i5 and i7 processors, making it suitable for work and entertainment.
The new MacBook Air has many features that make it an ideal choice for data analysis students and busy professionals. It is lightweight and portable yet powerful enough to handle all your everyday tasks. The Retina display is crisp and clear, while the FaceTime HD camera is perfect for video calls and selfies. The backlit keyboard makes it easy to type in low light, and the 8GB of RAM ensures a smooth and responsive experience.
The operating system on this laptop is macOS Big Sur, which allows you to run all your favorite software applications quickly without any problem. Many valuable features make this laptop ideal for data entry, data analysis, and research.
The battery life on this laptop is good enough to last 2-3 hours, depending on how much you use it. You can charge the battery using the included charger or USB ports on your computer or laptop keyboard/mouse when connected to each other with an adapter cable or charging station.
Key Specifications
- Processor: Apple M2
- Operating system: macOS Big Sur
- Weight: 2.7 pounds
- Screen size: 13.6-inch
- Memory: 8GB
- Storage: 512GB SSD
- Graphics: Apple 8-core GPU
- Processing power: 14 hours
- Display: 2560 x 1664
FAQs
A good laptop for data science should have a powerful processor, sufficient RAM, and a dedicated graphics card to handle the complex applications and software required for this field. It should also have ample storage capacity and a high-quality display for working with large datasets.
Both Mac and Windows operating systems have their pros and cons when it comes to data science. Macbooks are known for their reliability and user-friendly interface, while Windows machines offer more flexibility and compatibility with a wider range of software. Ultimately, the choice between the two comes down to personal preference and the specific needs of the user.
For data science, it’s recommended to have at least 16GB of RAM to ensure smooth performance when running complex applications and software. However, if you’re working with particularly large datasets or running multiple programs simultaneously, you may want to consider a laptop with 32GB of RAM or more.
If you’re on a budget, the Acer Aspire 5 is a great option for a laptop for data science. It has a powerful AMD Ryzen 5 processor, 8GB of RAM, and a dedicated NVIDIA graphics card, all at a relatively affordable price point.
Yes, gaming laptops can be a good option for data science because they typically have high-end specs, such as powerful processors and dedicated graphics cards, that are also well-suited for running data science applications and software. However, they may be more expensive than other options and may not be as portable or user-friendly.
Final Thought
In conclusion, the best laptop for data science and analysis is the MacBook Pro 16-inch. It has a powerful processor, plenty of storage, and a large screen perfect for data analysis. It is also lightweight and has a long battery life, making it ideal for traveling. So if you are in the market for a new laptop, the MacBook Pro 16-inch is the best data science and analysis option.
Tags: Guide
