Top 10 Laptops for Data Science in 2023 – Buyer’s Guide & Reviews

If you are a data scientist looking for the right laptop for your Data Science career, wouldn’t it be useful to know which laptops are best suited for purpose?

You have many choices, but what is the best laptop for data science? The one that meets all your needs and requirements? You could spend hours going through specifications and looking at reviews. Or, you could trust the experts at NextBookUSA.

Top 3 Laptops for Data Scientists

To work with different data types and insights, you need a laptop with a responsive OS, a fast processor, and enough storage for balanced performance. If you’re a data science student, you most likely do your tasks on your laptop. 

Data scientists need powerful machines with lots of memory if they are to do their jobs effectively. The problem is that it’s impractical to find a laptop that’s good enough for data science without spending hours searching through different options, reading reviews, and sifting through the specifications in each.

That is, until now… Thankfully, we’ve already found the perfect laptops for data scientists!

---

Laptops for Data Scientists – Reviews

Data Science is a complex task nowadays. Whether you are an experienced data scientist or not, you should look for a specifically designed laptop to facilitate your data science work. You’ll find our list of tried and tested laptops below; they will satisfy the data scientist in you!

---

1. HP Envy 17T – Best Overall Laptop for Data Scientists

Top 3 Features

The HP Envy 17 T is a mix of pride and power that features an Intel Core i7 processor to enhance your laptop performance. It comes with a 4GB NVIDIA GeForce MX250 GPU that makes it easy for you to indulge in neural networking and other deep learning activities. The 4 GB of VRAM gives impressive graphics performance and makes it easier for you to analyze data.

The 17.3-inch FHD display comes with IPS touch and 1920 X 1080 resolution, giving enough space to analyze your data and make it easy for you to multi-task.

The battery offers up to 10 hours of activity along with multi-tasking. HP has equipped Envy 17 with 16 GB RAM and 256 GB SSD storage so you can store your data quickly and install your favorite data science software.

Moreover, this laptop brings forth a backlit, island-style keyboard followed by a highly intuitive touchpad. With this laptop, you can enjoy decent sound while watching videos, listening to tunes, or music production. It comes with the Windows 10 operating system; however, you can install other operating systems if necessary.

Overall, the HP Envy 17T has excellent processing power and long battery life.

Check Latest Price

---

2. Lenovo Thinkpad P53s – Best Laptop for Big Data

Top 3 Features

Lenovo Thinkpad P53s is a superior choice for data mining and data visualization. It comes with a powerful Intel Core i7-8565 U processor, which boosts your laptop performance during multi-tasking and makes it easier for you to switch software.

The ThinkPad P53s comes with an NVIDIA Quadro P520 graphics card along with 2GB of VRAM memory. The GPU facilitates displaying necessary colors for visualization, which are better suited for the data-centric requirement.

Lenovo has equipped Thinkpad X1 as well as the P53s with 16 gigs of RAM, which work well with the processor and the workstation centric CPU. The 512GB SSD provides enough space to collect and render data faster. The SSD plays a significant role in speeding up the boot-up time.

The size of the display is 15.6 inches and comes with full HD 1920 X 1080 resolution. Most data scientists prefer a laptop that has an ergonomic backlit keyboard and responsive touchpad. This laptop will fill this requirement and proffer an excellent typing experience.

Additionally, it also features a fingerprint sensor to protect your data securely.

In terms of battery, Lenovo Thinkpad P53s offers up to 14 hours of battery life on one charge. Lenovo Thinkpad P53s is not a fancy choice, but it makes it a list of best laptops for Data science due to the powerful performance.

Check Latest Price

---

3. TensorBook – Best Performance Pick

Top 3 Features

This laptop is a slightly different pick for the best laptop for data science. It doesn’t come with a world-famous brand, but it doesn’t mean it cannot do an excellent job of processing large amounts of data. Far from it, this laptop is an ideal choice for an enterprise-level data scientist that is looking for a powerful workstation that reflects intelligence while performing data tasks.

The TensorBook comes with a powerful Intel Core i7-10875 CPU equipped with eight cores and 16 threads, courtesy of the Hyper-threading technology.

It features NVIDIA Geforce RTX 2080 Super Max-Q GPU with 8 GB VRAM to enable your productivity.

It comes with 15.6 Inch Full HD OLED Display and 1920 X 1080 resolution, which provides enough space to play with various data. It has a refresh rate of 144 HZ. One feature that brings our attention is that it stays cool even in extreme situations and protects your laptop from heat.

TensorBook has equipped this laptop with 64GB RAM (Yes, that’s correct) and 2TB SSD (alas!) so you can collect and store all data without worrying about storage becoming full and the laptop getting frozen. It just won’t happen with this mega laptop!

The battery life of this laptop is below average and last for only 2 hours.
TensorBook laptops are designed for machine learning and data science.

If your career is in data science, this laptop is our 3rd choice, so is a strong contender.

Check Latest Price

---

4. Asus ROG Strix Scar III

Top 3 Features

Asus ROG Strix Scar III is a perfect alternative to a data science desktop and fulfills your data requirements with ease. This laptop is made for gaming but works equally brilliantly for data environments. This laptop can handle anything you throw at it.

It comes with a powerful Intel Core i7-9750 H processor equipped with a turbo clocking speed of up to 4.5 GHz. The processer allows you to install Linux distros in the laptop, alongside the existing operating system.

It packs a punch with its NVIDIA GeForce RTX 2070 GPU, which is fast and has 8 gigs of VRAM.

It features 16GB RAM and 1TB SSD storage, which means it works exceptionally well with data science software; if you collect and analyze your data and render it with software likes SAS, Apache Spark, Excel, etc.

The display has a generous 15.6-inch size and resolution of 1920 X 1080 pixels.

It has an enviable keyboard with curved keycaps and a blacklist interface. The device has a responsive touchpad and supports ROG Keystone.

The battery life is average and lasts for 6 hours – expected from a powerful laptop.

The Asus ROG Strix Scar III runs like a charm while working with various data and is a favorable choice for data science’s best laptop.

Check Latest Price

---

5. Razer Blade Pro 17

Top 3 Features

The Razer Blade Pro 17 is a stylish and compelling laptop that brings a sturdier design and a premium look. It packs a powerful Intel Core i7-9750 H chipset that enables your PC performance even when multitasking.

Razer Blade PRO 17 comes with an NVIDIA GeForce RTX 2060 GPU, an excellent choice for data visualization and data rendering. It comes with 6 gigs of functional VRAM to enhance graphics performance.

It features 512GB SSD storage and 16GB RAM that gives enough space to collect your important data while working.

The 17.3-inch display panel is great for data analysis, allowing you to work with different spreadsheets and multiple applications.

It offers a responsive trackpad and an ergonomic and backlit keyboard. The Razor Blade has equipped it with impressive features, including face unlock, window hello compatibility, and an IR sensor.

The lightweight design and aluminum chassis add durability to the laptop. To connect different devices to the laptop, it features USB 3.2 and Thunderbolt 3 ports. You also get the benefits of wireless and Bluetooth connectivity for better productivity.

The battery life is pretty decent and last for 8 hours on one charge. The Razer Blade Pro 17 is a gaming laptop, but it’s an ideal pick for the best laptop for Data Science featuring excellent functionality.

Check Latest Price

---

6. Apple MacBook Pro

Top 3 Features

Apple is one of the most trustworthy and reliable brands globally, and when it comes to electronic items, no other brands can beat it. Data scientists love Apple for their data privacy and data concerning the issue. The popularity of Apple is on the top.

The Apple MacBook Pro comes with a powerful 9th generation Intel core i7 processor and a base clocking speed of up to 2.6 GHz. For data science, core plays an essential role in performance, and apple offers 6 cores to give you enough performance while playing with data.

Moving on to the GPU, Apple MacBook Pro features AMD Radeon Pro 5300M GPU, which closely works with 4 gigs of built-in VRAM that enables the maximum graphics performance.

Apple has equipped MacBook Pro with 16 GB RAM and 512 GB of SSD to ensure ultra-fast and decent data scientists’ storage capacity.

The Apple laptop runs on Mac OS, so if you need to work with data science software, it needs to be compatible with Mac OS; otherwise, you need to Install Windows OS that runs with the Boot Camp.

The display is pretty decent and offers a 16-inch screen and 3072 X 1920 pixels that take your data visualization to the next level. In terms of the keyboard, Apple has provided a decent keyboard that makes typing more comfortable.

Furthermore, Apple offers up to 11 hours of battery life, which pretty decent choice for data science. Apple MacBook Pro is undeniably courtesy of speed and computing power.

Check Latest Price

---

7. Asus Zenbook 14

Top 3 Features

The Asus Zenbook 14 is one of the most innovative and creative choices in the best laptop for data science.

It comes with a powerful Intel Core I7-10th generation 510U processor that can reach turbo clock speeds of up to 4.9 GHz.

Acer has built the Zenbook 14 with NVIDIA GeForce MX 250 GPU with a memory of 2GB VRAM, which provides excellent graphics.

It comes with 16GB RAM and 512 GB SSD storage to collect and store your data for software like Excel, SAS, etc.

It features Nano-edge display technology and a 14-inch screen along with 1920 X 1080 pixels. Moreover, it has a 92% percent display to body ratio and thrives in the 2.9 mm ultra-thin bezels for a better visual experience.

In terms of battery life, it lasts for 12 hours, so you can carry it anywhere and work on your dream projects all day long. Unlike the Asus Zenbook 13, the Zenbook 14 is one of the more obvious choices for an aspiring data scientist.

Check Latest Price

---

8. Lenovo Yoga 730

Top 3 Features

If you are looking for the best 2 in 1 laptop for data science, the Lenovo Yoga 730 will probably be the machine you’re looking for.

Its 2 in 1 functionality helps you analyze data very carefully and provide an accurate solution for data. With this laptop, you can efficiently work with a spreadsheet, Pivot table, Data Table, etc.

Lenovo has packed it with a powerful Intel Core i5-8265 U processor, which allows you to handle complex data and analytic requirements with ease. While talking about GPU, it’s not built by NVIDIA but Intel. It’s Intel integrated UHD 620 graphics card is effective yet powerful in terms of performance.

It comes with 12 GB of RAM and 256 GB of SSD storage, which is enough to collect and store data.

With this laptop, you get a Windows 10 operating system; however, it allows you to install your preferred operating system, which you might find convincing, like Linux, etc.

It comes with a long 15.6-inch large touch screen display and a resolution of 1920 X 1080 pixels in terms of display. Additionally, you can get the benefits of sharp viewing angles and unmatched visual clarity.

The ergonomic and backlit keyboard provides unique feels while typing or rendering data. The keys are easy to press and built with premium materials, ensuring a long age of keypad.

It is a 2-in-1 laptop, but Lenovo doesn’t compromise it with battery life and offers 8 hours of extended battery life of continuous usage.

Check Latest Price

---

9. Acer Swift 3 – Cheapest Data Science Laptop

Top 3 Features

The Acer Swift 3 is ideal for a data scientist who has to work with data visualization, mining, and excel. It comes with a mighty Intel Core i7 processor, a turbo clocking speed that can go up to 4.6 GHz, and give a convincing performance.

It packs with NVIDIA GeForce MX 150 GPU, which supports up to 2 gigs of VRAM. With its 8GB RAM and 256GB SSD storage, you can effectively perform the multi-task and store essential data. The GPUs, well suited for professional and data-centric requirements.

Acer has equipped Swift 3 with 8 GB of RAM and 256 GB of SSD storage, which allows you to install data scientist software easily and perform data mining or other types of data work smoothly. The backlit keyboard equipped with a responsive touchpad enhances your productivity in every situation.

Besides this, Acer has also packed it with excellent sound and connectivity options like Wi-Fi and Bluetooth 5.0. Similar to your desired laptop for computer science students, if your data science work is on the remote server, you can benefit from its powerful Wi-Fi.

The battery is also pretty decent and lasts for almost 12 hours. Overall, the Acer Swift 3 is a powerful gadget that gives excellent performance and offers a long battery life.

Check Latest Price

---

10. Dell XPS 15 7590

Top 3 Features

Dell Laptops have done an excellent job of providing robust, long-lasting machines, and yet budget-friendly. Dell XPS 15 7590 comes with a narrow border and lightweight design that’s easy to carry and the ideal choice for remote data science work.

It comes with an impactful Intel Core i7-9750 processor with a turbo speed of up to 4.5 GHz. Additionally, you also get the benefits of NVIDIA GeForce GTX 1650 GPU, which provides a powerful 4 GB of RAM. With this laptop, you’ll get the Windows 10 operating system.

Dell has equipped XPS with 16 GB of RAM, which helps you do your data work smoothly and effectively. Besides this, you also benefit from a 256 GB SSD storage unit to boot uptime and data rendering.

The display comes at 15.6 inches that look marvelous, and has a 3840 X 2160 pixels resolution. In terms of battery life, it can last for up to 14 hours.

Check Latest Price

---

Guide to Buying A Laptop for Data Science

Data science is the new frontier for analytical computing and essential to innovation in machine learning.

Data scientists need powerful laptops because they are constantly manipulating massive datasets of gigabytes or even terabytes of data at one time, running complex algorithms over those datasets, building predictive models, creating interactive web visualizations – all while developing hypotheses about what’s driving changes in the data and testing them against different scenarios.

If you’re looking for the best laptop for data processing, a laptop for machine learning, analytics, deep learning, artificial intelligence or data analysis our data science laptop requirements & guide will help no end!

1) RAM

How much RAM is required for the best data analysis laptop? As much as you can get. Indeed, data never gets smaller; the more you work with data, the more data will be produced. With decent RAM, you can efficiently work with a cloud-based system. Most of the pros claim to get by with 8GB minimum for data science, with 16GB as the sweet spot. 

2) Processor 

Data scientists have to tackle some serious numbers, and it requires a powerful processor that enhances laptop performance even in a tense situation. While looking for a processor, look for a faster, newer generation processor. If you lean on AWS or cloud-based options, we recommend going for a processor built with the latest generation. Our recommendation goes for the Intel Core processor with minimum i5 and 7th generation. 

3) SSD Storage 

To store your data, you need an SSD that provides enough space to keep it. Your data is only as fast as where it’s stored. For a data scientist, 256 GB of SSD is a decent choice.

4) Graphics card/GPU

Many data scientists have to work with graphics while working with different data. It’s essential to choose a laptop that supports the latest graphics. Most of the CPU has 4 to 8 processing cores, many have 700, and some even go to 2,000 or more.

NVIDIA has done a great job with the graphics by creating the CUDA parallel computing platform to grasp that parallel computing power for data science. We highly recommend going only for NVIDIA graphics card or AMD, not intel HD cards. 

5) Display

While working with different types of data or working with data science software, you need a great display size so you can analyze and edit your data with ease. Display size became a critical component when working with gigantic data, large Data Table, or Data charts.

We recommend picking a minimum display size of 13.3-inch FHD. Many pro data scientists recommend going for a 15.6-inch FHD display. 

6) Battery

A good battery life enhances your productivity and saves you extra time. Moreover, you can carry anywhere a long battery life laptop without worrying about charging. For a data scientist, you need a laptop whose battery lasts up to 6 hours and offers fast charging. Our ideal choice for battery life is up to 10 hours. 

---

Frequently Asked Questions

What type of laptop do I need for data science?

If you’re a full-time data scientist, the best laptop you should get is a laptop that you can easily connect to the cloud environment. The laptops we have reviewed for data science work is ideal as they handle both heavy and light tasks. 

If you’re a Data Scientist that needs to process data quickly, it would be best if you had a high-end laptop with good high-end specifications; meaning a minimum of 256GB SSD and at least 16GB of RAM, coupled with an i7 quad-core processor should set you off on the right foot.

What is the best laptop for a data scientist?

We feel the best one specifically for data scientists is the HP Envy 17T, while the Lenovo Thinkpad P53S comes in at a close second. The Apple Macbook Pro is a strong contender, that is not to be overlooked either.

What are the differences between data mining, machine learning and deep learning?

Although data mining and machine learning are deeply rooted in data science, they focus on data learning to make better decisions. Data mining focuses on providing human-explainable and interpretable knowledge and models.

In contrast, a machine created by a device with a high degree of accuracy and a deep understanding of the data set.

Data mining and machine learning also overlap, and if you plan to build a career in either of these areas, the difference between them and data science is vital. However, the words “data science” and “machine learning” are often combined.

This is because the former is a multidisciplinary field, consisting of many disciplines with the same roots as data sciences, while the latter is a subset of them.

Data science makes sense because it focuses on data use, but data mining focuses on data learning through models, algorithms, data analysis, and modeling.

---

Conclusion

So, this is our pick for the best laptop for data science; now it’s up to you which laptop is best suited to your needs; if you’ve any suggestions or feel we have missed any awesome data laptops from the list, just let us know through our contact page.

The key factors to consider when purchasing a laptop for data science are processing power, RAM, and hard drive size. There’s no point in spending money on anything else if the machine can’t handle running complex algorithms or large datasets. 

With that in mind, the best machine for data scientists (students or professionals) is the HP Envy 17t, with the Lenovo ThinkPad P53s in very close second place.

Data science can be used by almost anyone in any profession to make more informed decisions about their work or personal lives. As the world becomes increasingly interconnected through technology all aspects of life become intertwined with each other so it’s no surprise that this line has become an integral part of our society.

And while there are still improvements needed on both sides (technology/human) we’re at least heading in the right direction which gives me hope for the future!