A Guide to Choose a Computer for Data Science Work

A Guide to Choose a Computer for Data Science Work

Data science involves working on a computer a lot. Naturally, for someone who wants to be efficient, an optimal computer performance is one of the priorities.

If you are unhappy with your current computer performance, it is natural to look for an upgrade. But how do you go about choosing a new computer? What do you need to focus on? This post will provide you with the basic knowledge and 3 possible suggestions in the second half of the article.

Hardware Requirements

First, consider what hardware you want. Data science often requires heavy computations that require a powerful graphics processing unit (GPU).

A good GPU will accelerate your tasks, allowing you to analyze more data faster than with a standard CPU alone. Look for GPUs from leading brands like NVIDIA or AMD, which offer reliable performance in demanding tasks like deep learning or 3D rendering.

Other than solid GPUs, aim for a machine with an Intel i7 or better processor, 8GB or more RAM, and 500GB of storage space or larger, depending on your needs.

Speaking of storage, external solutions can be a consideration if you do not want to overspend on a drive. Besides the option to share photos or collaborate with another person while working on the same file, clouds work as an alternative to built-in computer storage.

And as far as physical accessories go, you can find relatively cheap options while looking for an external HDD or a simple USB flash stick.

This combination of components should give you enough power to handle most data analysis tasks without any lagging or slowdown.

Price Range & Other Considerations

As always, price plays an important role in selecting a computer for data science work as well, but don’t let budget be your only determining factor.

Higher initial costs can save you money over time if they reduce lagging or downtime due to regular maintenance requirements, which can add up quickly over time. Also, consider whether portability is important – do you need a laptop? Or will a desktop suffice? Think about where you plan on using the computer, too – maybe you want something lightweight enough to carry around regularly between meetings?

Lastly, don’t forget about accessories such as extra monitors, keyboards, and mice. These are additional investments that are often overlooked but can go a long way toward increasing efficiency and comfort while working on large datasets in multiple windows simultaneously.

Ultimately, selecting a computer requires careful consideration of hardware and software requirements within your budget range while taking into account other factors, such as portability and accessories, that could improve overall performance long term.

Computer Models for Data Science Work

Dell XPS 15 7590

The Dell XPS 15 7590 is an ideal laptop for data science. It offers a powerful 9th Gen Intel Core i7 processor, 16GB of RAM, and a 512GB solid-state drive.

This laptop also features an NVIDIA GeForce GTX 1650 Max-Q graphics card, so you can run computationally heavy programs without slowdown.

The display is a 15.6” 1920 x 1080 IPS panel with thin bezels on the top and sides, making it perfect for immersive gaming sessions or data analysis. Additionally, the battery life lasts about six hours, which makes it great for those who need to use their laptop on the go.

HP Pavilion 15t

The HP Pavilion 15t is also a great option for data science work. The laptop has an AMD Ryzen 5 2600 processor, 8GB of RAM, and a 256GB solid-state drive that provides plenty of storage for any project needs.

In addition to this base model, there are also several more powerful options available, including up to AMD Ryzen 7 3700U processors and 16GB of RAM. One feature that stands out here is the 15.6-inch full HD touchscreen display that allows you to interact with your data in a much more natural way than a traditional mouse or keyboard use would allow.

Plus, the battery life on this model is strong enough to last through long days of work or study without needing frequent recharging.

ASUS ZenBook 14

Lastly, the ASUS ZenBook 14 is another great choice for data scientists. This laptop features an 8th Gen Intel Core i7 processor paired with 8GB of RAM and 512GB of storage space – allowing it to easily handle complex tasks like machine learning projects with ease.

Moreover, it comes equipped with an NVIDIA GeForce MX150, which lets you get some light gaming in if needed too!

On top of its powerful inernals, this model also boasts a 14-inch FHD NanoEdge touchscreen display that gives you plenty of room to view your data while still being compact enough to take anywhere you need to go – making it perfect for on-the-go professionals or students looking to maximize their productivity outside of the office or classroom setting.

Join our list

Subscribe to our mailing list and get interesting stuff and updates to your email inbox.

Thank you for signup. A Confirmation Email has been sent to your Email Address.

Something went wrong.

Within the bustling realm of data science, our editorial team stands as a collective force of learning and exploration. Meet the dynamic minds behind the scenes—Sukesh, Abhishek, and other Authors. As passionate data science learners, they collectively weave a tapestry of insights, discoveries, and shared learning experiences.
Thank you For sharing.We appreciate your support. Don't Forget to LIKE and FOLLOW our SITE to keep UPDATED with Data Science Learner