As a data scientist, you need a laptop that can handle big data sets and complex calculations. You also need a laptop that’s portable enough to take with you to meetings and presentations.
Here are the best laptops for data science, based on our testing and research.
Best Laptops For Data Science 2023 Comparison Table
| Photo | Name | Check Price | Color | Battery life | Memory size | CPU model | Features |
|---|---|---|---|---|---|---|---|
 | Acer Predator Helios 300 PH315-54-760S Gaming Laptop | Check Price | BLACK | 6 hours | 16GB | Core i7 | IPS Display 512GB SSD |
 | Lenovo Flex 5 Laptop | Check Price | Graphite Grey | 12 hours | 16GB | Ryzen 5 5500U | 14 inches Touch display Windows 11 |
 | MSI Pulse GL66 Gaming Laptop | Check Price | Black | n/a | 16GB | Core i7 | 15.6 inches 512GB SSD Windows 10 |
 | 2021 Newest HP 15 | Check Price | Natural Silver | n/a | 8GB | Core i5 | 15.6 inches DDR4 RAM 512GB PCIe SSD Bluetooth 5.0 Webcam |
 | Newest HP Notebook | Check Price | Silver | n/a | 16GB | Intel Core i7 | 15.6 inches Full HD Touchscreen Backlit keyboard Fingerprint reader Wi-Fi HDMI Type C |
1) PH315-54-760S Acer Predator Helios 300 Gaming Laptop
The PH315-54-760S Acer Predator Helios 300 Gaming Laptop is a great choice for gamers who are looking for a powerful and fast laptop. It is powered by the Intel Core i7-11800H 11th Generation processor and features 8 cores and 16 threads to divide and conquer any activity or run your most intensive games.
The latest RTX 3060 NVIDIA GeForce is powered by Tensor Cores, and streaming multiprocessors supporting DirectX 12 Ultimate for the ultimate gaming performance.
For gamers who demand the best visual experiences, the LED-backlit display with a 16:9 aspect ratio showcases an amazingly quick refresh rate of 144Hz and an overdrive response time of 3ms.
With 16GB of DDR4 3200MHz memory, 512GB of PCIe Gen 4 SSD, and Intel Killer DoubleShot Pro, the PH315-54-760S Acer Predator Helios 300 Gaming Laptop can simultaneously use Ethernet and Wi-Fi at the same time, maximizing speed, throughput, and control.
2) Lenovo Flex 5 Laptop
Lenovo’s Flex 5 is a well-rounded 2-in-1 laptop that offers good performance, a decent selection of ports, a better-than-average webcam, and a very affordable price tag. It’s not the most powerful laptop out there, but it should be more than enough for most people’s needs.
The Flex 5’s 14-inch, 1080p IPS display is bright and sharp, and its AMD Ryzen 5 5500U processor and 8GB of RAM handled everything we threw at it without issue. The included 256GB SSD is on the small side, but it’s speedy, and you can always add more storage later with the Flex 5’s built-in SD card reader.
Battery life is solid, too. We were able to get more than 9 hours of use on our battery test, which simulates continuous web browsing over Wi-Fi. That’s about an hour less than what we got from the Dell XPS 13 2-in-1, but it’s still very good.
3) MSI GL66 Gaming Laptop
The MSI GL66 is a powerful and portable gaming laptop that’s great for gamers on the go. It has a large 15.6” display with a 144hz refresh rate, so you won’t miss a single frame of action.
Intel Core i7 processor provides high performance for gaming and other demanding applications. And the NVIDIA GeForce RTX graphics card gives you the power you need to take on today’s most popular games.
The GL66 is also thin and light, so it’s easy to carry with you wherever you go. Plus, it has MSI’s exclusive Cooler Boost Technology for optimal thermal dissipation. So you can keep your cool even when the action heats up.
Customize each key to your liking with the customizable backlit keyboard, and get real-time in-game status through the keyboard lighting. Or even watch the lights dance to your favorite tune. With the MSI GL66, you can game anywhere, anytime.
4) 2023 Newest HP 15 15.6″ FHD Laptop Computer
The newest HP 15 is a powerful and versatile laptop that is perfect for students or professionals. It has the latest 11th Gen Intel Core i5-1135G7 Processor and 8GB of DDR4 RAM.
The 15.6″ FHD IPS display is perfect for watching videos or working on projects. This laptop also comes with a 512GB PCIe SSD, providing plenty of storage space for your files.
Additionally, the Realtek Wi-Fi and Bluetooth 5.0 combo ensure that you’ll have fast and reliable wireless connectivity. And finally, the 3 In 1 Design Stylus is a great way to stay productive on the go.
5) Newest HP Notebook, 15.6″ Full HD Touchscreen
The HP Notebook is a great value for the money. It has a large 15.6″ Full HD IPS Touchscreen display which is perfect for working with data and analytics. The processor is an 11th Gen Intel Core i7-1165G7 2.80GHz Quad-Core Processor, which is more than enough power for most data science tasks.
The 16GB of high-bandwidth RAM will allow you to run multiple programs and browser tabs all at the same. The hard drive is a 1TB SSD, making it quick to boot and transfer data.
The ports include 2x USB 3.0 Type-A, 1x USB 3.0 Type-C, 1x HDMI, 1x headphone/microphone combo, and 1 x Multi-Format SD Media Card Reader. The HP Notebook also has Realtek Wi-Fi and Bluetooth connectivity. The operating system is Windows 11 Home.
The HP Notebook is a great choice for data science due to its large 15.6″ Full HD IPS Touchscreen display, fast processor, and 16GB of RAM. The 1TB Solid State Drive will also ensure quick boot times and data transfers. The HP Notebook is a great choice for anyone looking for a powerful and affordable laptop for data science.
Buyers Guide: Best Laptops For Data Science 2023
What Do Laptops For Data Science Mean?
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Laptops for data science are laptops that have been specifically designed to handle the large amounts of data and number crunching that is required for data science.
Data science is a relatively new field that is concerned with extracting information and insights from large data sets. Data scientists need to be able to process and analyze large amounts of data quickly and efficiently, and so they require laptops with powerful processors and a lot of memory.
Different Types Of Laptops For Data Science
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Different types of laptops are available in the market with different configurations. It is important to select the right type of laptop as per the requirement for data science. Some of the popular types of laptops that are commonly used by data scientists are:
1. Notebooks
These laptops are lightweight and portable. They come with a variety of features and are ideal for those who have to travel frequently.
2. Ultrabooks
These laptops are similar to notebooks in terms of size and weight but they offer more powerful hardware. Ultrabooks are ideal for data scientists who need a laptop with high performance.
3. Workstations
Workstation laptops are designed for intensive tasks such as graphics design, video editing, and 3D modeling. They come with powerful processors and high-end graphics cards. Workstation laptops are ideal for data scientists who need to perform resource-intensive tasks.
4. Gaming laptops
Gaming laptops are designed for playing games. They come with powerful hardware and high-end graphics cards. Gaming laptops are ideal for data scientists who need a laptop with high performance.
5. 2-in-1 laptops
2-in-1 laptops can be used as both laptops and tablets. They come with a variety of features and are ideal for those who need a versatile laptop.
6. Chromebooks
Chromebooks are laptops that run on the Chrome OS. They are lightweight and portable. Chromebooks are ideal for data scientists who need a laptop for basic tasks such as browsing the web and checking email.
7. Macbooks
Macbooks are laptops that run on the macOS. They come with a variety of features and are ideal for those who need a laptop for general use.
8. Windows Laptops
Windows laptops are the most popular type of laptop. They come with a variety of features and are ideal for those who need a laptop for general use.
Tips When Using Laptops For Data Science
1. Get a powerful processor
The first thing you need to consider when looking for the best laptops for data science is the processor. A powerful processor is essential for tasks such as data mining, machine learning, and deep learning. You need a laptop that can handle large amounts of data quickly and efficiently. Look for laptops with Intel Core i7 or i9 processors.
2. Get a lot of RAM
Another important factor to consider when looking for the best laptops for data science is the amount of RAM. Data science tasks require a lot of memory, so you need to make sure your laptop has enough RAM to handle the workload. Look for laptops with 16GB or more RAM.
3. Get a fast SSD
A fast solid-state drive (SSD) is also important for data science tasks. An SSD will help your laptop load and run data science programs quickly. Look for laptops with an SSD that is at least 512GB.
4. Get a large display
A large display is also helpful for data science tasks. A larger screen will give you more space to work with data sets and models. Look for laptops with a display that is at least 15 inches.
5. Get a good keyboard and trackpad
A good keyboard and trackpad are also important for data science tasks. You need a laptop that has a comfortable keyboard and trackpad so you can enter data quickly and accurately. Look for laptops with backlit keyboards and large trackpads.
Things To Consider Before Buying Laptops For Data Science
When it comes to data science, one of the most important things to consider is the type of laptop you will need to do your work effectively. There are a few different things that you will need to take into accounts such as the processor, operating system, battery life, display, weight, and graphics.
The processor is important because it will determine how fast your laptop can run data-heavy applications. It is recommended to get a laptop with an Intel Core i7 or higher processor. The operating system is also important because you will need to be able to run data science software such as R and Python. Windows is the most popular operating system for laptops, but there are also a few different versions of Linux that can be used.
Battery life is important because you will likely be working with large files and running multiple programs at once, which can drain a battery quickly. It is recommended to get a laptop with at least 8 hours of battery life. The display is also important because you will need to be able to see your data. A laptop with a 1080p resolution or higher is recommended.
Weight is important if you plan on traveling with your laptop often. A lighter laptop will be easier to carry around. Graphics are important if you plan on doing any type of data visualization. A laptop with a dedicated graphics card is recommended.
When choosing a laptop for data science, it is important to consider all of these factors to get the best possible machine for your needs.
Advantages Of Laptops For Data Science
Modern laptops have a lot to offer data scientists. They are designed for portability, so you can take them with you wherever you go. They also have powerful processors and large amounts of storage space, making them ideal for working with large data sets. In addition, laptops usually come with a variety of software programs installed that can be used for data analysis, such as statistical software packages and data visualization tools.
Another advantage of laptops for data science is that they can be easily connected to other devices, such as printers and scanners. This allows you to easily share your data with others who might find it useful. Finally, many laptops come with built-in security features that can help protect your data from unauthorized access.
How To Prolong Your Laptop’s Battery Life
There are a few things you can do to help prolong your laptop’s battery life. One is to use power-saving features built into your operating system. For example, in Windows 10, you can click the battery icon in the taskbar and then select “Battery Saver” to turn on battery-saving mode. This will dim your screen and put other power-saving measures in place.
Another thing you can do is close apps that you’re not using. Background processes can still use up battery power, so it’s best to close them when you’re not using them. Finally, make sure that your laptop is set to go into sleep mode after a period of inactivity. That way, it won’t use up battery power when you’re not using it.
With these tips, you can help prolong your laptop’s battery life and keep it running for as long as possible.
Frequently Asked Questions
How To Clean Laptops For Data Science?
Cleaning laptops for data science can be done with a few simple steps. First, make sure that you have the proper tools. You will need a vacuum cleaner with a soft brush attachment, and a can of compressed air. Next, unplug the laptop and remove any external devices. Turn the laptop upside down and gently shake it to remove any loose debris.
Use the vacuum cleaner to remove any dust from the keyboard and other areas of the laptop. Be sure to use the soft brush attachment to avoid damaging the delicate components. Next, use the compressed air to blow away any remaining dust particles. Finally, wipe down the exterior of the laptop with a clean, dry cloth.
Is It Worth It To Get Laptops For Data Science?
Yes, laptops for data science are definitely worth the investment. They offer a great deal of power and flexibility and can be an essential tool for any data scientist. If you are looking for a laptop that can handle demanding tasks such as machine learning or deep learning, then a data science laptop is the way to go. However, if you just need a laptop for basic data analysis tasks, then a less powerful model will suffice. Ultimately, the best laptop for you depends on your specific needs and budget.
Do You Need A Specialized Laptop For Data Science?
No, you do not need a specialized laptop for data science. Any modern laptop with a good processor and enough RAM will be able to handle most data science tasks. However, if you are planning on doing more demanding tasks such as machine learning or deep learning, then you may want to invest in a more powerful laptop.
How Much RAM Do I Need For Data Science?
The amount of RAM you need for data science depends on the specific tasks you will be performing. For basic data analysis, 4GB of RAM should be sufficient. However, for more demanding tasks such as machine learning or deep learning, you will need at least 8GB of RAM.
What Is The Best Processor For Data Science?
The best processor for data science varies depending on your needs and budget. However, some of the best options include the Intel Core i7 and the AMD Ryzen 7.
How Much Storage Do I Need For Data Science?
The amount of storage you need for data science depends on the size of the datasets you will be working with. For smaller datasets, a few hundred GB of storage should be sufficient. However, for larger datasets, you will need 1TB or more storage.
How Much Should I Spend On Laptops For Data Science?
How much you should spend on laptops for data science depends on your needs and budget. If you just need a laptop for basic data analysis tasks, then you can get by with a less powerful model that costs around $500. However, if you are planning on doing more demanding tasks such as machine learning or deep learning, then you will need to invest in a more powerful laptop that costs around $1,000 or more.
Final Thoughts
It’s clear that data science is a rapidly growing field, and laptops are becoming more and more powerful. If you’re looking to get into data science, or if you’re already a practitioner, you’ll need a good laptop that can handle the demands of the job.
My name is Nicholas Boucher and I am the founder of fitlaptops.com, a blog dedicated to providing helpful reviews and information on laptop technology. With more than 15 years of experience in the industry, I strive to provide comprehensive coverage for tech enthusiasts who want to stay up-to-date with all the latest developments. My passion lies in helping readers make informed decisions when it comes to purchasing the best laptop for their needs. I invite you to explore my blog and join me on this journey into the world of laptop technology.